World Wide Web Conference (2021)
Workshops
- Proceedings of the 1st International Workshop on Knowledge Graphs for Online Discourse Αnalysis (KnOD 2021) co-located with the 30th The Web Conference (WWW 2021), Virtual Event (due to COVID-19 outbreak), April 14, 2021 9 papers
- Proceedings of the 2nd International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 30th The Web Conference (WWW 2021), Ljubljana, Slovenia, April 12, 2021 (online event due to COVID-19 outbreak) 9 papers
Proceedings of the 1st International Workshop on Knowledge Graphs for Online Discourse Αnalysis (KnOD 2021) co-located with the 30th The Web Conference (WWW 2021), Virtual Event (due to COVID-19 outbreak), April 14, 2021
A Focused Analysis of Twitter-based Disinformation from Foreign Influence Operations
Julio Amador Díaz López
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Pranava Madhyastha
Beyond Facts: Online Discourse and Knowledge Graphs (preface)
ClaimHunter: An Unattended Tool for Automated Claim Detection on Twitter
Javier Beltrán
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Rubén Míguez
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Irene Larraz
Fact-checking, False Narratives, and Argumentation Schemes
Giovanni Luca Ciampaglia
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John Licato
Interrupting the Propaganda Supply Chain
Kyle Hamilton
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Bojan Bozic
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Luca Longo
KI^TE: Knowledge-Infused InterpreTable Embeddings for COVID-19 Misinformation Detection
William Shiao
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Evangelos E. Papalexakis
REMOD: Relation Extraction for Modeling Online Discourse
Matthew Sumpter
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Giovanni Luca Ciampaglia
Using Heterogeneous Information Networks for Integrative Discourse Mapping
Alexander Brand
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Tim König
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Wolf J. Schünemann
Proceedings of the 2nd International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 30th The Web Conference (WWW 2021), Ljubljana, Slovenia, April 12, 2021 (online event due to COVID-19 outbreak)
Scaling Semantic Role Labeling and Semantic Parsing Across Languages
Roberto Navigli
Building and Evaluating Universal Named-Entity Recognition English corpus
Diego Alves
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Gaurish Thakkar
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Marko Tadic
Simple Ways to Improve NER in Every Language using Markup
Luis Adrián Cabrera-Diego
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José G. Moreno
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Antoine Doucet
On the Role of Images for Analyzing Claims in Social Media
Gullal S. Cheema
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Sherzod Hakimov
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Eric Müller-Budack
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Ralph Ewerth
Using the Profile of Publishers to Predict Barriers across News Articles
Abdul Sittar
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Dunja Mladenic
OEKG: The Open Event Knowledge Graph
Simon Gottschalk
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Endri Kacupaj
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Sara Abdollahi
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Diego Alves
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Gabriel Amaral
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Elisavet Koutsiana
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Tin Kuculo
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Daniela Major
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Caio Mello
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Gullal S. Cheema
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Abdul Sittar
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Swati
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Golsa Tahmasebzadeh
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Gaurish Thakkar
Multi-task Learning for Cross-Lingual Sentiment Analysis
Gaurish Thakkar
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Nives Mikelic Preradovic
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Marko Tadic
"Alignment is All You Need": Analyzing Cross-Lingual Document Similarity for Domain-Specific Applications
Sourav Dutta
Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
Companion of The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
Improving Bounce Rate Prediction for Rare Queries by Leveraging Landing Page Signals
Yeshi Dolma
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Raunak Kalani
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Astha Agrawal
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Saurav Basu
Managing Knowledge in Energy Data Spaces
Valentina Janev
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Maria-Esther Vidal
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Kemele M. Endris
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Dea Pujic
Analyzing a Knowledge Graph of Industry 4.0 Standards
Irlán Grangel-González
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Maria-Esther Vidal
EMR: Scalable Clustering of Big HR Data using Evolutionary MapReduce
Mahdi Bohlouli
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Zhonghua He
SciBiD: Novel Scientometrics and NoSQL-enabled Scalable and domain-specific Analysis of Big Scholar Data
Mahdi Bohlouli
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Jonathan Hermann
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Fabian Sunnus
Artificial Neural Network Based Sensor Ontology Matching Technique
Xingsi Xue
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Chao Jiang
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Chaofan Yang
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Hai Zhu
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Cong Hu
Task Offloading Strategy of Internet of Vehicles Based on Stackelberg Game
Shuo Xiao
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Shengzhi Wang
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Zhenzhen Huang
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Tianyu Wang
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Wei Chen
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Guopeng Zhang
Distributed Fog Computing Based on Improved LT codes for Deep Learning in Web of Things
Lei Zhang
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Jie Liu
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Fuquan Zhang
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Yu Mao
A Deep End-to-end Hand Detection Application On Mobile Device Based On Web Of Things
Linjuan Ma
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Fuquan Zhang
Progressive Semantic Reasoning for Image Inpainting
Junjie Jin
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Xinrong Hu
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Kai He
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Tao Peng
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Junping Liu
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Jie Yang
Timing-Driven X-architecture Steiner Minimum Tree Construction Based on Social Learning Multi-Objective Particle Swarm Optimization
Xiaohua Chen
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Ruping Zhou
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Genggeng Liu
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Zhen Chen
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Wenzhong Guo
PDTM: Poisson Distribution-based Trust Model for Web of Things
Weidong Fang
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Wuxiong Zhang
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Wei Chen
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Li Yi
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Weiwei Gao
A Kind of Prediction Based on SOM Neural Clustering and Combination Weighting Evaluation Method
Ye Sun
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Bing Tian
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Xiaoyue Liu
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Dufeng Chen
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Yuliang Wu
Mobile Positioning Based on TAE-GRU
Canyang Guo
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Ling Wu
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Cheng Shi
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Chi-Hua Chen
What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline
Zhao Li
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Pengrui Hui
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Peng Zhang
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Jiaming Huang
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Biao Wang
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Ling Tian
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Ji Zhang
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Jianliang Gao
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Xing Tang
A Feature Analysis Tool for Batch RL Datasets
Ruiyang Xu
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Zhengxing Chen
Optimizing AD Pruning of Sponsored Search with Reinforcement Learning
Yijiang Lian
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Zhijie Chen
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Xin Pei
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Shuang Li
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Yifei Wang
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Yuefeng Qiu
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Zhiheng Zhang
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Zhipeng Tao
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Liang Yuan
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Hanju Guan
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Kefeng Zhang
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Zhigang Li
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Xiaochun Liu
Challenges and Opportunities in Using Data Science for Homelessness Service Provision
Charalampos Chelmis
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Wenting Qi
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Wonhyung Lee
Developing Annotated Resources for Internal Displacement Monitoring
Fabio Poletto
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Yunbai Zhang
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André Panisson
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Yelena Mejova
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Daniela Paolotti
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Sylvain Ponserre
Using Facebook Ads Data to Assess Gender Balance in STEM: Evidence from Brazil
Carolina C. Vieira
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Marisa Vasconcelos
Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts
Esther Mead
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Maryam Maleki
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Recep Erol
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Nitin Agarwal
How Fair is Fairness-aware Representative Ranking?
Akrati Saxena
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George Fletcher
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Mykola Pechenizkiy
Analyzing European Migrant-related Twitter Deliberations
Aparup Khatua
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Wolfgang Nejdl
Parallelizing DNN Training on GPUs: Challenges and Opportunities
Weizheng Xu
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Youtao Zhang
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Xulong Tang
Reliability of Large Scale GPU Clusters for Deep Learning Workloads
Junjie Qian
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Taeyoon Kim
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Myeongjae Jeon
Transitive Power Modeling for Improving Resource Efficiency in a Hyperscale Datacenter
Alexander Gilgur
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Brian Coutinho
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Iyswarya Narayanan
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Parth Malani
DL Inference and Training Optimization Towards Speed and Scale
Minjia Zhang
Automating Fairness Configurations for Machine Learning
Haipei Sun
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Yiding Yang
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Yanying Li
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Huihui Liu
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Xinchao Wang
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Wendy Hui Wang
Fairness beyond "equal": The Diversity Searcher as a Tool to Detect and Enhance the Representation of Socio-political Actors in News Media
Bettina Berendt
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Özgür Karadeniz
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Stefan Mertens
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Leen D'Haenens
Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
Golshan Madraki
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Isabella Grasso
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Jacqueline M. Otala
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Yu Liu
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Jeanna N. Matthews
Political Polarization and Platform Migration: : A Study of Parler and Twitter Usage by United States of America Congress Members
Jacqueline M. Otala
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Gillian Kurtic
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Isabella Grasso
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Yu Liu
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Jeanna N. Matthews
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Golshan Madraki
Auditing Source Diversity Bias in Video Search Results Using Virtual Agents
Aleksandra Urman
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Mykola Makhortykh
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Roberto Ulloa
AI Principles in Identifying Toxicity in Online Conversation: Keynote at the Third Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web
Lucy Vasserman
Financial Fraud Detection on Micro-credit Loan Scenario via Fuller Location Information Embedding
Junxiang Jiang
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Boyi Ni
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Chunping Wang
Hierarchical Model for Goal Guided Summarization of Annual Financial Reports
Yash Agrawal
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Vivek Anand
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S. Arunachalam
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Vasudeva Varma
A Chinese Dataset for Exploring Financial Numeral Attributes
Maofu Liu
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Xinxin Xia
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Wei Wang
A Comparison of Pre-Trained Language Models for Multi-Class Text Classification in the Financial Domain
Yusuf Arslan
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Kevin Allix
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Lisa Veiber
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Cedric Lothritz
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Tegawendé F. Bissyandé
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Jacques Klein
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Anne Goujon
Centralized Borrower and Lender Matching under Uncertainty for P2P Lending
Soumajyoti Sarkar
Enhancing Intent Detection in Customer Service with Social Media Data
Jiantao Huang
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Yi-Ru Liou
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Hsin-Hsi Chen
FinSBD-2021: The 3rd Shared Task on Structure Boundary Detection in Unstructured Text in the Financial Domain
Willy Au
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Abderrahim Ait-Azzi
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Juyeon Kang
taka at the FinSBD-3 task: Tables and Figures Extraction using Object Detection Techniques
Tien-Dung Le
aiai at the FinSBD-3 task: Structure Boundary Detection of Noisy Financial Texts in English and French Using Data Augmentation and Hybrid Deep Learning Model
Ke Tian
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Hua Chen
The FinSim-2 2021 Shared Task: Learning Semantic Similarities for the Financial Domain
Youness Mansar
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Juyeon Kang
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Ismaïl El Maarouf
FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs
Jan Portisch
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Michael Hladik
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Heiko Paulheim
JSI at the FinSim-2 task: Ontology-Augmented Financial Concept Classification
Timen Stepisnik Perdih
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Senja Pollak
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Blaz Skrlj
L3i_LBPAM at the FinSim-2 task: Learning Financial Semantic Similarities with Siamese Transformers
Nhu Khoa Nguyen
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Emanuela Boros
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Gaël Lejeune
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Antoine Doucet
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Thierry Delahaut
GOAT at the FinSim-2 task: Learning Word Representations of Financial Data with Customized Corpus
Yulong Pei
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Qian Zhang
TCS_WITM_2021 @FinSim-2: Transformer based Models for Automatic Classification of Financial Terms
Tushar Goel
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Vipul Chauhan
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Ishan Verma
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Tirthankar Dasgupta
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Lipika Dey
PolyU-CBS at the FinSim-2 Task: Combining Distributional, String-Based and Transformers-Based Features for Hypernymy Detection in the Financial Domain
Emmanuele Chersoni
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Chu-Ren Huang
aiai at the FinSim-2 task: Finance Domain Terms Automatic Classification Via Word Ontology and Embedding
Ke Tian
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Hua Chen
LocWeb2021 Workshop - Chair's Welcome: Eleventh International Workshop on Location and the Web at The Web Conference 2021
Dirk Ahlers
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Erik Wilde
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Rossano Schifanella
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Jalal S. Alowibdi
Understanding & Predicting User Lifetime with Machine Learning in an Anonymous Location-Based Social Network
Jens Helge Reelfs
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Max Bergmann
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Oliver Hohlfeld
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Niklas Henckell
IP Geolocation Using Traceroute Location Propagation and IP Range Location Interpolation
Ovidiu Dan
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Vaibhav Parikh
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Brian D. Davison
Cross-city Analysis of Location-based Sentiment in User-generated Text
Christopher Stelzmüller
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Sebastian Tanzer
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Markus Schedl
Learning Spatio-Temporal Behavioural Representations for Urban Activity Forecasting
Flora D. Salim
Generating Rich Product Descriptions for Conversational E-commerce Systems
Shashank Kedia
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Aditya Mantha
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Sneha Gupta
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Stephen Guo
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Kannan Achan
Making Sense of Subtitles: Sentence Boundary Detection and Speaker Change Detection in Unpunctuated Texts
Gregor Donabauer
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Udo Kruschwitz
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David P. A. Corney
Language, Vision and Action are Better Together
Rada Mihalcea
Beyond Text and Back Again
Desmond Elliott
Language, Vision and Action are Better Together
Jason Baldridge
Grounding Language in Visual and Conversational Contexts
Raquel Fernández
Tweet Sentiment Analysis of the 2020 U.S. Presidential Election
Ethan Xia
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Han Yue
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Hongfu Liu
Boosting Share Routing for Multi-task Learning
Xiaokai Chen
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Xiaoguang Gu
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Libo Fu
EUDETECTOR: Leveraging Language Model to Identify EU-Related News
Koustav Rudra
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Danny Tran
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Miroslav Shaltev
Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles
Jamell Dacon
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Haochen Liu
Collocating News Articles with Structured Web Tables10033
Alyssa Lees
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Luciano Barbosa
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Flip Korn
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Levy de Souza Silva
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You Wu
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Cong Yu
Toward the Next Generation of News Recommender Systems
Himan Abdollahpouri
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Edward C. Malthouse
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Joseph A. Konstan
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Bamshad Mobasher
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Jeremy Gilbert
How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution
Mingfei Guo
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Xiuying Chen
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Juntao Li
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Dongyan Zhao
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Rui Yan
Combining Explicit Entity Graph with Implicit Text Information for News Recommendation
Xuanyu Zhang
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Qing Yang
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Dongliang Xu
Deep Learning meets Knowledge Graphs for Scholarly Data Classification
Fabian Hoppe
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Danilo Dessì
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Harald Sack
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs
Angelika Romanou
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Panayiotis Smeros
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Karl Aberer
Extraction and Evaluation of Statistical Information from Social and Behavioral Science Papers
Sree Sai Teja Lanka
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Sarah Michele Rajtmajer
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Jian Wu
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C. Lee Giles
FAIR Linked Data - Towards a Linked Data Backbone for Users and Machines
Johannes Frey
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Sebastian Hellmann
HierClasSArt: Knowledge-Aware Hierarchical Classification of Scholarly Articles
Mehwish Alam
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Russa Biswas
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Yiyi Chen
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Danilo Dessì
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Genet Asefa Gesese
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Fabian Hoppe
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Harald Sack
C-Rex: A Comprehensive System for Recommending In-Text Citations with Explanations
Michael Färber
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Vinzenz Zinecker
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Isabela Bragaglia Cartus
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Sebastian Celis
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Maria Duma
Rewarding Research Data Management
Joachim Schöpfel
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Otmane Azeroual
Finding Keystone Citations for Constructing Validity Chains among Research Papers
Yuanxi Fu
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Jodi Schneider
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Catherine Blake
BIP! DB: A Dataset of Impact Measures for Scientific Publications
Thanasis Vergoulis
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Ilias Kanellos
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Claudio Atzori
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Andrea Mannocci
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Serafeim Chatzopoulos
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Sandro La Bruzzo
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Natalia Manola
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Paolo Manghi
Predicting Paper Acceptance via Interpretable Decision Sets
Peng Bao
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Weihui Hong
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Xuanya Li
Visualising Scientific Topic Evolution
Panagiotis Deligiannis
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Thanasis Vergoulis
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Serafeim Chatzopoulos
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Christos Tryfonopoulos
Tweet-aware News Summarization with Dual-Attention Mechanism
Xin Zheng
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Aixin Sun
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Karthik Muthuswamy
Are Your Friends Also Haters? Identification of Hater Networks on Social Media: Data Paper
Maximilian Wich
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Melissa Breitinger
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Wienke Strathern
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Marlena Naimarevic
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Georg Groh
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Jürgen Pfeffer
Emotion-Aware Event Summarization in Microblogs
Rrubaa Panchendrarajan
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Wynne Hsu
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Mong-Li Lee
Response Selection for a Virtual Counsellor
John Lee
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Baikun Liang
A Comparative Study of Using Pre-trained Language Models for Toxic Comment Classification
Zhixue Zhao
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Ziqi Zhang
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Frank Hopfgartner
Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube
Sultan Alshamrani
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Ahmed Abusnaina
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Mohammed Abuhamad
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Daehun Nyang
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David Mohaisen
Affect Classification in Tweets using Multitask Deep Neural Networks
Seema Nagar
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Achintya Shankhdhar
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Ferdous Ahmed Barbhuiya
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Kuntal Dey
PaCo: Fast Counting of Causal Paths in Temporal Network Data
Luka V. Petrovic
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Ingo Scholtes
Learning to Persist: Exploring the Tradeoff Between Model Optimization and Experience Consistency
Dmitri Goldenberg
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Guy Tsype
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Igor Spivak
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Javier Albert
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Amir Tzur
Analysis and Visualisation of Time Series Data on Networks with Pathpy
Jürgen Hackl
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Ingo Scholtes
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Luka V. Petrovic
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Vincenzo Perri
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Luca Verginer
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Christoph Gote
Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis
Vincenzo Perri
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Ingo Scholtes
References in Wikipedia: The Editors' Perspective
Lucie-Aimée Kaffee
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Hady Elsahar
Do I Trust this Stranger? Generalized Trust and the Governance of Online Communities
Jérôme Hergueux
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Yann Algan
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Yochai Benkler
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Mayo Fuster Morell
Negative Knowledge for Open-world Wikidata
Hiba Arnaout
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Simon Razniewski
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Gerhard Weikum
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Jeff Z. Pan
A Brief Analysis of Bengali Wikipedia's Journey to 100, 000 Articles
Ankan Ghosh Dastider
WikiShark: An Online Tool for Analyzing Wikipedia Traffic and Trends
Elad Vardi
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Lev Muchnik
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Alex Conway
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Micha Breakstone
Tracing the Factoids: the Anatomy of Information Re-organization in Wikipedia Articles
Amit Arjun Verma
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Neeru Dubey
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S. R. S. Iyengar
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Simran Setia
Wikidata Logical Rules and Where to Find Them
Naser Ahmadi
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Paolo Papotti
Simple Wikidata Analysis for Tracking and Improving Biographies in Catalan Wikipedia
Toni Hermoso Pulido
Structural Analysis of Wikigraph to Investigate Quality Grades of Wikipedia Articles
Anamika Chhabra
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Shubham Srivastava
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S. R. S. Iyengar
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Poonam Saini
Towards Open-domain Vision and Language Understanding with Wikimedia
David Semedo
Language-agnostic Topic Classification for Wikipedia
Isaac Johnson
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Martin Gerlach
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Diego Sáez-Trumper
Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation
Philipp Scharpf
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Moritz Schubotz
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Bela Gipp
ShExStatements: Simplifying Shape Expressions for Wikidata
John Samuel
Inferring Sociodemographic Attributes of Wikipedia Editors: State-of-the-art and Implications for Editor Privacy
Sebastian Brückner
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Florian Lemmerich
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Markus Strohmaier
The Language of Liberty: A preliminary study
Oscar Araque
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Lorenzo Gatti
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Kyriaki Kalimeri
Information flow on COVID-19 over Wikipedia: A case study of 11 languages
Changwook Jung
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Inho Hong
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Diego Sáez-Trumper
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Damin Lee
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Jaehyeon Myung
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Danu Kim
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Jinhyuk Yun
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Woo-Sung Jung
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Meeyoung Cha
Towards Ongoing Detection of Linguistic Bias on Wikipedia
Karthic Madanagopal
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James Caverlee
Characterizing Opinion Dynamics and Group Decision Making in Wikipedia Content Discussions
Khandaker Tasnim Huq
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Giovanni Luca Ciampaglia
Assessing the quality of health-related Wikipedia articles with generic and specific metrics
Luis Couto
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Carla Teixeira Lopes
Data-Driven Solutions in Smart Cities: The case of Covid-19
Nenad N. Petrovic
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Vlado Dimovski
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Judita Peterlin
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Maja Mesko
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Vasja Roblek
Shaping a Digital Transformation Strategy for Smart Cities under the COVID-19 pandemic: Evidence from Greece
Leonidas G. Anthopoulos
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Christos Ziozias
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Apostolos Siokis
Carpooling Platforms in Smart Cities for COVID-19 Pandemic: A Bibliometric Analysis
Leonidas G. Anthopoulos
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Dimitrios Tzimos
Insurance Assistant: An Intelligent Platform for Video Insurance Assessment
Shuang Peng
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Minghui Yang
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Fudong Wang
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Xiangyang Li
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Zujie Wen
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Lei Liu
ClaimLinker: Linking Text to a Knowledge Graph of Fact-checked Claims
Evangelos Maliaroudakis
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Katarina Boland
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Stefan Dietze
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Konstantin Todorov
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Yannis Tzitzikas
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Pavlos Fafalios
TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration
Dongjin Choi
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Sara Evensen
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Çagatay Demiralp
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Estevam Hruschka
Plumber: A Modular Framework to Create Information Extraction Pipelines
Mohamad Yaser Jaradeh
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Kuldeep Singh
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Markus Stocker
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Sören Auer
FastSNG: The Fastest Social Network Dataset Generator
Binbin Wang
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Chaokun Wang
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Hao Feng
Demonstration of Faceted Search on Scholarly Knowledge Graphs
Golsa Heidari
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Ahmad Ramadan
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Markus Stocker
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Sören Auer
The Observatory of Anonymity: An Interactive Tool to Understand Re-Identification Risks in 89 countries
Luc Rocher
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Meenatchi Sundaram Muthu
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Yves-Alexandre de Montjoye
Semantic Search via Entity-Types: The SEMANNOREX Framework
Amit Kumar
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Govind
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Marc Spaniol
PROV4ITDaTa: Transparent and direct transferof personal data to personal stores
Gertjan De Mulder
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Ben De Meester
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Pieter Heyvaert
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Ruben Taelman
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Anastasia Dimou
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Ruben Verborgh
ARK-Virus: An ARK Platform Extension for Mindful Risk Governance of Personal Protective Equipment Use in Healthcare
Lucy McKenna
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Junli Liang
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Natalia Duda
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Nick McDonald
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Rob Brennan
BrFAST: a Tool to Select Browser Fingerprinting Attributes for Web Authentication According to a Usability-Security Trade-off
Nampoina Andriamilanto
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Tristan Allard
TAKCO: A Platform for Extracting Novel Facts from Tables
Benno Kruit
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Peter A. Boncz
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Jacopo Urbani
TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release
Tianyi Yang
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Cuiyun Gao
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Jingya Zang
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David Lo
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Michael R. Lyu
Escape from An Echo Chamber
Kuan-Chieh Lo
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Shih-Chieh Dai
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Aiping Xiong
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Jing Jiang
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Lun-Wei Ku
Marketing Communications and the Semantic Web: Theoretical Intersections and Practical Implications
Teodora Petkova
Counterfactual-Augmented Data for Multi-Hop Knowledge Base Question Answering
Yingting Li
Modeling Text Data Over Time - Example on Job Postings
Jakob Jelencic
Explainable Demand Forecasting: A Data Mining Goldmine
Joze M. Rozanec
How to See Smells: Extracting Olfactory References from Artworks
Mathias Zinnen
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
REST: Relational Event-driven Stock Trend Forecasting
Wentao Xu
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Weiqing Liu
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Chang Xu
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Jiang Bian
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Jian Yin
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Tie-Yan Liu
Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading
Ramit Sawhney
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Shivam Agarwal
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Arnav Wadhwa
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Rajiv Ratn Shah
Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges
Friedhelm Victor
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Andrea Marie Weintraud
Towards Understanding and Demystifying Bitcoin Mixing Services
Lei Wu
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Yufeng Hu
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Yajin Zhou
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Haoyu Wang
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Xiapu Luo
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Zhi Wang
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Fan Zhang
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Kui Ren
Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX
Kyle Soska
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Jin-Dong Dong
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Alex Khodaverdian
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Ariel Zetlin-Jones
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Bryan R. Routledge
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Nicolas Christin
On the Feasibility of Automated Built-in Function Modeling for PHP Symbolic Execution
Penghui Li
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Wei Meng
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Kangjie Lu
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Changhua Luo
TLS 1.3 in Practice: How TLS 1.3 Contributes to the Internet
Hyunwoo Lee
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Doowon Kim
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Yonghwi Kwon
Towards Realistic and ReproducibleWeb Crawl Measurements
Jordan Jueckstock
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Shaown Sarker
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Peter Snyder
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Aidan Beggs
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Panagiotis Papadopoulos
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Matteo Varvello
|
Benjamin Livshits
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Alexandros Kapravelos
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Hyejin Shin
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WooChul Shim
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Saebom Kim
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Sol Lee
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Yong Goo Kang
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Yong Ho Hwang
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Guannan Liu
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Xing Gao
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Haining Wang
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Sebastian Bruch
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Le Yan
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Zhen Qin
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Rama Kumar Pasumarthi
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Xuanhui Wang
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Michael Bendersky
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Tao Yang
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Qingyao Ai
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Yiling Jia
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Huazheng Wang
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Stephen Guo
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Hongning Wang
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Harrie Oosterhuis
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Maarten de Rijke
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Jing Ma
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Qiuchen Zhang
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Jian Lou
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Li Xiong
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Joyce C. Ho
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Yujie Feng
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Jiangtao Wang
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Yasha Wang
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Sumi Helal
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Ashish Sharma
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Inna W. Lin
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Adam S. Miner
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David C. Atkins
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Tim Althoff
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Sebastian Cross
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Ahmed Mourad
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Guido Zuccon
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Bevan Koopman
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Chacha Chen
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Junjie Liang
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Fenglong Ma
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Lucas Glass
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Jimeng Sun
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Cao Xiao
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Yusi Zhang
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Chuanjie Liu
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Angen Luo
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Hui Xue
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Xuan Shan
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Yuxiang Luo
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Yiqian Xia
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Yuanchi Yan
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Haidong Wang
Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction
Qiannan Cheng
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Zhaochun Ren
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Yujie Lin
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Pengjie Ren
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Zhumin Chen
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Xiangyuan Liu
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Maarten de Rijke
On the Value of Wikipedia as a Gateway to the Web
Tiziano Piccardi
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Miriam Redi
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Giovanni Colavizza
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Robert West
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering
Christian Hansen
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Casper Hansen
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Jakob Grue Simonsen
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Christina Lioma
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Ruizhe Zhang
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Xiaohui Xie
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Jiaxin Mao
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Yiqun Liu
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Min Zhang
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Shaoping Ma
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Jia Zhang
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Enhuan Dong
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Zili Meng
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Yuan Yang
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Mingwei Xu
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Sijie Yang
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Miao Zhang
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Yang Yue
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Lorenzo Corneo
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Maximilian Eder
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Nitinder Mohan
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Aleksandr Zavodovski
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Suzan Bayhan
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Walter Wong
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Per Gunningberg
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Jussi Kangasharju
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Jörg Ott
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Conor Kelton
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Matteo Varvello
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Andrius Aucinas
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Ben Livshits
Superways: A Datacenter Topology for Incast-heavy workloads
Hamed Rezaei
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Balajee Vamanan
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Santiago Vargas
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Rebecca Drucker
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Aiswarya Renganathan
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Aruna Balasubramanian
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Anshul Gandhi
Graph Structure Estimation Neural Networks
Ruijia Wang
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Shuai Mou
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Xiao Wang
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Wanpeng Xiao
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Qi Ju
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Chuan Shi
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Xing Xie
Efficient Probabilistic Truss Indexing on Uncertain Graphs
Zitan Sun
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Xin Huang
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Jianliang Xu
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Francesco Bonchi
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Katherine Van Koevering
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Austin R. Benson
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Jon M. Kleinberg
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Ahmet Erdem Sariyüce
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Di Jin
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Cuiying Huo
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Chundong Liang
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Liang Yang
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Yu Zheng
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Chen Gao
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Liang Chen
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Depeng Jin
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Yong Li
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Junliang Yu
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Hongzhi Yin
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Jundong Li
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Qinyong Wang
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Nguyen Quoc Viet Hung
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Xiangliang Zhang
Reinforcement Recommendation with User Multi-aspect Preference
Xu Chen
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Yali Du
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Long Xia
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Jun Wang
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Shuchang Liu
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Fei Sun
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Yingqiang Ge
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Changhua Pei
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Yongfeng Zhang
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
Zhe Xie
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Chengxuan Liu
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Yichi Zhang
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Hongtao Lu
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Dong Wang
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Yue Ding
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Antonis Papasavva
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Jeremy Blackburn
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Gianluca Stringhini
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Savvas Zannettou
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Emiliano De Cristofaro
Chinese Wall or Swiss Cheese? Keyword filtering in the Great Firewall of China
Zachary Weinberg
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Diogo Barradas
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Nicolas Christin
Understanding the Impact of Encrypted DNS on Internet Censorship
Lin Jin
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Shuai Hao
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Haining Wang
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Chase Cotton
Improving Cyberbullying Detection with User Interaction
Suyu Ge
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Lu Cheng
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Huan Liu
IFSpard: An Information Fusion-based Framework for Spam Review Detection
Yao Zhu
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Hongzhi Liu
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Yingpeng Du
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Zhonghai Wu
Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond
Mingxuan Ju
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Wei Song
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Shiyu Sun
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Yanfang Ye
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Yujie Fan
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Shifu Hou
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Kenneth A. Loparo
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Liang Zhao
Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking
Prashanth Vijayaraghavan
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Deb Roy
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
Sicheng Zhao
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Yang Xiao
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Jiang Guo
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Xiangyu Yue
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Jufeng Yang
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Ravi Krishna
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Pengfei Xu
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Kurt Keutzer
Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective
Hao Fei
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Yafeng Ren
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Shengqiong Wu
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Bobo Li
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Donghong Ji
Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary
Mohammadzaman Zamani
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H. Andrew Schwartz
High-dimensional Sparse Embeddings for Collaborative Filtering
Jan Van Balen
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Bart Goethals
Sinkhorn Collaborative Filtering
Xiucheng Li
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Jin Yao Chin
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Yile Chen
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Gao Cong
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering
Jianing Sun
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Zhaoyue Cheng
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Saba Zuberi
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Felipe Pérez
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Maksims Volkovs
Collaborative Filtering with Preferences Inferred from Brain Signals
Keith M. Davis III
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Michiel M. A. Spapé
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Tuukka Ruotsalo
Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective
Chao Wang
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Hengshu Zhu
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Qiming Hao
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Keli Xiao
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Hui Xiong
User-oriented Fairness in Recommendation
Yunqi Li
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Hanxiong Chen
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Zuohui Fu
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Yingqiang Ge
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Yongfeng Zhang
Mitigating Gender Bias in Captioning Systems
Ruixiang Tang
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Mengnan Du
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Yuening Li
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Zirui Liu
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Na Zou
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Xia Hu
Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding
Nuno Mota
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Negar Mohammadi
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Palash Dey
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Krishna P. Gummadi
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Abhijnan Chakraborty
Understanding User Sensemaking in Machine Learning Fairness Assessment Systems
Ziwei Gu
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Jing Nathan Yan
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Jeffrey M. Rzeszotarski
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy
Fatemehsadat Mireshghallah
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Mohammadkazem Taram
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Ali Jalali
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Ahmed Taha Elthakeb
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Dean M. Tullsen
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Hadi Esmaeilzadeh
Twin Peaks, a Model for Recurring Cascades
Matteo Almanza
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Silvio Lattanzi
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Alessandro Panconesi
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Giuseppe Re
TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks
Yanbang Wang
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Pan Li
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Chongyang Bai
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Jure Leskovec
Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes
Maximilian Nickel
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Matthew Le
DYMOND: DYnamic MOtif-NoDes Network Generative Model
Giselle Zeno
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Timothy La Fond
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Jennifer Neville
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
Alasdair Tran
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Alexander Patrick Mathews
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Cheng Soon Ong
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Lexing Xie
Towards a Better Understanding of Query Reformulation Behavior in Web Search
Jia Chen
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Jiaxin Mao
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Yiqun Liu
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Fan Zhang
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Min Zhang
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Shaoping Ma
Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation
Xiangsheng Li
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Jiaxin Mao
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Weizhi Ma
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Yiqun Liu
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Min Zhang
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Shaoping Ma
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Zhaowei Wang
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Xiuqiang He
Controllable Gradient Item Retrieval
Haonan Wang
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Chang Zhou
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Carl Yang
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Hongxia Yang
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Jingrui He
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
Xueli Yu
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Weizhi Xu
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Zeyu Cui
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Shu Wu
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Liang Wang
Cross-Positional Attention for Debiasing Clicks
Honglei Zhuang
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Zhen Qin
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Xuanhui Wang
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Michael Bendersky
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Xinyu Qian
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Po Hu
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Dan Chary Chen
Inductive Entity Representations from Text via Link Prediction
Daniel Daza
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Michael Cochez
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Paul Groth
Revisiting the Evaluation Protocol of Knowledge Graph Completion Methods for Link Prediction
Sudhanshu Tiwari
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Iti Bansal
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Carlos R. Rivero
Boosting the Speed of Entity Alignment 10 ×: Dual Attention Matching Network with Normalized Hard Sample Mining
Xin Mao
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Wenting Wang
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Yuanbin Wu
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Man Lan
Progressive, Holistic Geospatial Interlinking
George Papadakis
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Georgios M. Mandilaras
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Nikos Mamoulis
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Manolis Koubarakis
RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs
Paolo Rosso
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Dingqi Yang
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Natalia Ostapuk
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Philippe Cudré-Mauroux
A Recommender System for Crowdsourcing Food Rescue Platforms
Zheyuan Ryan Shi
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Leah Lizarondo
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Fei Fang
A Workflow Analysis of Context-driven Conversational Recommendation
Shengnan Lyu
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Arpit Rana
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Scott Sanner
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Mohamed Reda Bouadjenek
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang
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Tinglin Huang
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Dingxian Wang
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Yancheng Yuan
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Zhenguang Liu
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Xiangnan He
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Tat-Seng Chua
Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests
Xing Zhao
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Ziwei Zhu
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James Caverlee
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce
Jialiang Han
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Yun Ma
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Qiaozhu Mei
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Xuanzhe Liu
Meta-HAR: Federated Representation Learning for Human Activity Recognition
Chenglin Li
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Di Niu
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Bei Jiang
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Xiao Zuo
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Jianming Yang
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization
Bingyan Liu
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Yao Guo
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Xiangqun Chen
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
Chengxu Yang
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Qipeng Wang
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Mengwei Xu
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Zhenpeng Chen
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Kaigui Bian
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Yunxin Liu
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Xuanzhe Liu
Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction
Jingwen Zhang
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Yuezhou Wu
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Rong Pan
Hierarchical Personalized Federated Learning for User Modeling
Jinze Wu
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Qi Liu
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Zhenya Huang
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Yuting Ning
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Hao Wang
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Enhong Chen
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Jinfeng Yi
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Bowen Zhou
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Minghong Fang
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Minghao Sun
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Qi Li
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Neil Zhenqiang Gong
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Jin Tian
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Jia Liu
Deepfake Videos in the Wild: Analysis and Detection
Jiameng Pu
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Neal Mangaokar
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Lauren Kelly
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Parantapa Bhattacharya
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Kavya Sundaram
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Mobin Javed
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Bolun Wang
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Bimal Viswanath
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks
Tianhao Wang
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Florian Kerschbaum
CoResident Evil: Covert Communication In The Cloud With Lambdas
Anil Yelam
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Shibani Subbareddy
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Keerthana Ganesan
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Stefan Savage
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Ariana Mirian
DAPter: Preventing User Data Abuse in Deep Learning Inference Services
Hao Wu
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Xuejin Tian
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Yuhang Gong
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Xing Su
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Minghao Li
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Fengyuan Xu
Cross-lingual Language Model Pretraining for Retrieval
Puxuan Yu
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Hongliang Fei
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Ping Li
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
Ziyan Luo
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Linfeng Zhao
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Wei Cheng
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Sihao Chen
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Qi Chen
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Hui Xue
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Haidong Wang
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Chuanjie Liu
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Mao Yang
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Lintao Zhang
A Linguistic Study on Relevance Modeling in Information Retrieval
Yixing Fan
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Jiafeng Guo
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Xinyu Ma
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Ruqing Zhang
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Yanyan Lan
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Xueqi Cheng
Estimation of Fair Ranking Metrics with Incomplete Judgments
Ömer Kirnap
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Fernando Diaz
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Asia Biega
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Michael D. Ekstrand
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Ben Carterette
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Emine Yilmaz
Pivot-based Candidate Retrieval for Cross-lingual Entity Linking
Qian Liu
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Xiubo Geng
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Jie Lu
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Daxin Jiang
The Structure of Toxic Conversations on Twitter
Martin Saveski
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Brandon Roy
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Deb Roy
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Andreas Spitz
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Ahmad Abu-Akel
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Robert West
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups
Punyajoy Saha
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Binny Mathew
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Kiran Garimella
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Animesh Mukherjee
"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19
Fatemeh Tahmasbi
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Leonard Schild
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Chen Ling
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Jeremy Blackburn
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Gianluca Stringhini
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Yang Zhang
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Savvas Zannettou
Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations
Jiajun Bao
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Junjie Wu
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Yiming Zhang
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Eshwar Chandrasekharan
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David Jurgens
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
Patara Trirat
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Jae-Gil Lee
Dissecting Performance of Production QUIC
Alexander Yu
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Theophilus A. Benson
XY-Sketch: on Sketching Data Streams at Web Scale
Yongqiang Liu
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Xike Xie
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
Chuan Luo
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Pu Zhao
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Bo Qiao
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Youjiang Wu
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Hongyu Zhang
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Wei Wu
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Weihai Lu
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Yingnong Dang
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Saravanakumar Rajmohan
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Qingwei Lin
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Dongmei Zhang
WebSocket Adoption and the Landscape of the Real-Time Web
Paul Murley
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Zane Ma
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Joshua Mason
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Michael Bailey
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Amin Kharraz
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
Qingqing Long
|
Yilun Jin
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Yi Wu
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Guojie Song
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
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Xiao Wang
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Chuan Shi
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Houye Ji
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Peng Cui
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Cheng Yang
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Jiawei Liu
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Chuan Shi
CurGraph: Curriculum Learning for Graph Classification
Yiwei Wang
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Wei Wang
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Yuxuan Liang
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Yujun Cai
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Bryan Hooi
Lorentzian Graph Convolutional Networks
Yiding Zhang
|
Xiao Wang
|
Chuan Shi
|
Nian Liu
|
Guojie Song
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation
Yongji Wu
|
Defu Lian
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Neil Zhenqiang Gong
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Lu Yin
|
Mingyang Yin
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Jingren Zhou
|
Hongxia Yang
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation
Junsu Cho
|
Dongmin Hyun
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SeongKu Kang
|
Hwanjo Yu
Drug Package Recommendation via Interaction-aware Graph Induction
Zhi Zheng
|
Chao Wang
|
Tong Xu
|
Dazhong Shen
|
Penggang Qin
|
Baoxing Huai
|
Tongzhu Liu
|
Enhong Chen
Interest-aware Message-Passing GCN for Recommendation
Fan Liu
|
Zhiyong Cheng
|
Lei Zhu
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Zan Gao
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Liqiang Nie
Task-adaptive Neural Process for User Cold-Start Recommendation
Xixun Lin
|
Jia Wu
|
Chuan Zhou
|
Shirui Pan
|
Yanan Cao
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Bin Wang
Consistent Sampling Through Extremal Process
Ping Li
|
Xiaoyun Li
|
Gennady Samorodnitsky
|
Weijie Zhao
Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network
Hongzuo Xu
|
Yijie Wang
|
Songlei Jian
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Zhenyu Huang
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Yongjun Wang
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Ning Liu
|
Fei Li
Fair and Representative Subset Selection from Data Streams
Yanhao Wang
|
Francesco Fabbri
|
Michael Mathioudakis
CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining
Zhuoyi Wang
|
Yuqiao Chen
|
Chen Zhao
|
Yu Lin
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Xujiang Zhao
|
Hemeng Tao
|
Yigong Wang
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Latifur Khan
Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective
Paul Liu
|
Akshay Soni
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Eun Yong Kang
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Yajun Wang
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Mehul Parsana
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
Nurendra Choudhary
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Nikhil Rao
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Sumeet Katariya
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Karthik Subbian
|
Chandan K. Reddy
ColChain: Collaborative Linked Data Networks
Christian Aebeloe
|
Gabriela Montoya
|
Katja Hose
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths
Muchao Ye
|
Suhan Cui
|
Yaqing Wang
|
Junyu Luo
|
Cao Xiao
|
Fenglong Ma
Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration
Yuxuan Shi
|
Gong Cheng
|
Trung-Kien Tran
|
Evgeny Kharlamov
|
Yulin Shen
WiseKG: Balanced Access to Web Knowledge Graphs
Amr Azzam
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Christian Aebeloe
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Gabriela Montoya
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Ilkcan Keles
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Axel Polleres
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Katja Hose
A Longitudinal Study of Removed Apps in iOS App Store
Fuqi Lin
|
Haoyu Wang
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Liu Wang
|
Xuanzhe Liu
Demystifying Illegal Mobile Gambling Apps
Yuhao Gao
|
Haoyu Wang
|
Li Li
|
Xiapu Luo
|
Guoai Xu
|
Xuanzhe Liu
ReACt: A Resource-centric Access Control System for Web-app Interactions on Android
Xin Zhang
|
Yifan Zhang
NeuroPose: 3D Hand Pose Tracking using EMG Wearables
Yilin Liu
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Shijia Zhang
|
Mahanth Gowda
Whale Watching in Inland Indonesia: Analyzing a Small, Remote, Internet-Based Community Cellular Network
Matthew Johnson
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Jenny Liang
|
Michelle Lin
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Sudheesh Singanamalla
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Kurtis Heimerl
Learning Neural Point Processes with Latent Graphs
Qiang Zhang
|
Aldo Lipani
|
Emine Yilmaz
OCT-GAN: Neural ODE-based Conditional Tabular GANs
Jayoung Kim
|
Jinsung Jeon
|
Jaehoon Lee
|
Jihyeon Hyeong
|
Noseong Park
Neural Collaborative Reasoning
Hanxiong Chen
|
Shaoyun Shi
|
Yunqi Li
|
Yongfeng Zhang
Deep Co-Attention Network for Multi-View Subspace Learning
Lecheng Zheng
|
Yu Cheng
|
Hongxia Yang
|
Nan Cao
|
Jingrui He
ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases
Jinze Bai
|
Jialin Wang
|
Zhao Li
|
Donghui Ding
|
Ji Zhang
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Jun Gao
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles
Jiahuan Pei
|
Pengjie Ren
|
Maarten de Rijke
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling
Mengfan Yao
|
Siqian Zhao
|
Shaghayegh Sahebi
|
Reza Feyzi-Behnagh
Personalized Treatment Selection using Causal Heterogeneity
Ye Tu
|
Kinjal Basu
|
Cyrus DiCiccio
|
Romil Bansal
|
Preetam Nandy
|
Padmini Jaikumar
|
Shaunak Chatterjee
Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching
Zixuan Yuan
|
Hao Liu
|
Junming Liu
|
Yanchi Liu
|
Yang Yang
|
Renjun Hu
|
Hui Xiong
Slot Self-Attentive Dialogue State Tracking
Fanghua Ye
|
Jarana Manotumruksa
|
Qiang Zhang
|
Shenghui Li
|
Emine Yilmaz
Dynamic Embeddings for Interaction Prediction
Zekarias T. Kefato
|
Sarunas Girdzijauskas
|
Nasrullah Sheikh
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Alberto Montresor
Knowledge Embedding Based Graph Convolutional Network
Donghan Yu
|
Yiming Yang
|
Ruohong Zhang
|
Yuexin Wu
Motif-Preserving Dynamic Attributed Network Embedding
Zhijun Liu
|
Chao Huang
|
Yanwei Yu
|
Junyu Dong
Highly Liquid Temporal Interaction Graph Embeddings
Huidi Chen
|
Yun Xiong
|
Yangyong Zhu
|
Philip S. Yu
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
Hansheng Xue
|
Luwei Yang
|
Vaibhav Rajan
|
Wen Jiang
|
Yi Wei
|
Yu Lin
Semi-Open Information Extraction
Bowen Yu
|
Zhenyu Zhang
|
Jiawei Sheng
|
Tingwen Liu
|
Yubin Wang
|
Yucheng Wang
|
Bin Wang
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network
Anson Bastos
|
Abhishek Nadgeri
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Kuldeep Singh
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Isaiah Onando Mulang'
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Saeedeh Shekarpour
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Johannes Hoffart
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Manohar Kaul
GNEM: A Generic One-to-Set Neural Entity Matching Framework
Runjin Chen
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Yanyan Shen
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Dongxiang Zhang
Effective Named Entity Recognition with Boundary-aware Bidirectional Neural Networks
Fei Li
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Zheng Wang
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Siu Cheung Hui
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Lejian Liao
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Dandan Song
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Jing Xu
A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction
Yongliang Shen
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Xinyin Ma
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Yechun Tang
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Weiming Lu
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings
Kai Wang
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Yu Liu
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Qian Ma
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Quan Z. Sheng
Efficient Non-Sampling Knowledge Graph Embedding
Zelong Li
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Jianchao Ji
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Zuohui Fu
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Yingqiang Ge
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Shuyuan Xu
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Chong Chen
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Yongfeng Zhang
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
Bo Wang
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Tao Shen
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Guodong Long
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Tianyi Zhou
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Ying Wang
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Yi Chang
An Adversarial Transfer Network for Knowledge Representation Learning
Huijuan Wang
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Shuangyin Li
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Rong Pan
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion
Shen Wang
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Xiaokai Wei
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Cícero Nogueira dos Santos
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Zhiguo Wang
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Ramesh Nallapati
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Andrew O. Arnold
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Bing Xiang
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Philip S. Yu
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Isabel F. Cruz
Elo-MMR: A Rating System for Massive Multiplayer Competitions
Aram Ebtekar
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Paul Liu
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
Ruoxi Wang
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Rakesh Shivanna
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Derek Zhiyuan Cheng
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Sagar Jain
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Dong Lin
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Lichan Hong
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Ed H. Chi
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning
Yaqing Wang
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Quanming Yao
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James T. Kwok
An Adversarial Imitation Click Model for Information Retrieval
Xinyi Dai
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Jianghao Lin
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Weinan Zhang
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Shuai Li
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Weiwen Liu
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Ruiming Tang
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Xiuqiang He
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Jianye Hao
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Jun Wang
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Yong Yu
CrowdGP: a Gaussian Process Model for Inferring Relevance from Crowd Annotations
Dan Li
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Zhaochun Ren
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Evangelos Kanoulas
Fine-Grained Urban Flow Prediction
Yuxuan Liang
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Kun Ouyang
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Junkai Sun
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Yiwei Wang
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Junbo Zhang
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Yu Zheng
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David S. Rosenblum
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Roger Zimmermann
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph10033
Zheyi Pan
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Songyu Ke
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Xiaodu Yang
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Yuxuan Liang
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Yong Yu
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Junbo Zhang
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Yu Zheng
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
Weijia Zhang
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Hao Liu
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Fan Wang
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Tong Xu
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Haoran Xin
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Dejing Dou
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Hui Xiong
STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility
Zhengyang Zhou
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Yang Wang
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Xike Xie
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Lei Qiao
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Yuantao Li
DeepFEC: Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities
Sayda Elmi
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Kian-Lee Tan
Separ: Towards Regulating Future of Work Multi-Platform Crowdworking Environments with Privacy Guarantees
Mohammad Javad Amiri
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Joris Duguépéroux
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Tristan Allard
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Divyakant Agrawal
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Amr El Abbadi
Online Label Aggregation: A Variational Bayesian Approach
Chi Hong
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Amirmasoud Ghiassi
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Yichi Zhou
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Robert Birke
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Lydia Y. Chen
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process
Ines Arous
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Jie Yang
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Mourad Khayati
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Philippe Cudré-Mauroux
Multi-Session Diversity to Improve User Satisfaction in Web Applications
Mohammadreza Esfandiari
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Ria Mae Borromeo
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Sepideh Nikookar
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Paras Sakharkar
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Sihem Amer-Yahia
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Senjuti Basu Roy
What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis
Agathe Balayn
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Panagiotis Soilis
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Christoph Lofi
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Jie Yang
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Alessandro Bozzon
FINN: Feedback Interactive Neural Network for Intent Recommendation
Yatao Yang
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Biyu Ma
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Jun Tan
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Hongbo Deng
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Haikuan Huang
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Zibin Zheng
Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates
Haozhe Qin
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Jiangang Zhu
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Beijun Shen
Controlling the Risk of Conversational Search via Reinforcement Learning
Zhenduo Wang
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Qingyao Ai
Joint Spatio-Textual Reasoning for Answering Tourism Questions
Danish Contractor
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Shashank Goel
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Mausam
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Parag Singla
Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection
Chen Zhang
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Hao Wang
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Feijun Jiang
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Hongzhi Yin
Understanding the Complexity of Detecting Political Ads
Vera Sosnovik
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Oana Goga
War of Words II: Enriched Models of Law-Making Processes
Victor Kristof
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Aswin Suresh
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Matthias Grossglauser
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Patrick Thiran
Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections
Aaron Schein
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Keyon Vafa
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Dhanya Sridhar
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Victor Veitch
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Jeffrey Quinn
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James Moffet
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David M. Blei
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Donald P. Green
Fast Evaluation for Relevant Quantities of Opinion Dynamics
Wanyue Xu
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Qi Bao
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Zhongzhi Zhang
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks
Bibek Paudel
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Abraham Bernstein
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks
Mingqi Yang
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Yanming Shen
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Heng Qi
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Baocai Yin
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
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Yichen Xu
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Feng Yu
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Qiang Liu
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Shu Wu
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Liang Wang
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Qingyun Sun
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Jianxin Li
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Hao Peng
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Jia Wu
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Yuanxing Ning
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Philip S. Yu
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Lifang He
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning
Meng Liu
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Nate Veldt
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Haoyu Song
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Pan Li
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David F. Gleich
TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints
Liming Zhang
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Liang Zhao
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Shan Qin
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Dieter Pfoser
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Chen Ling
Cookie Swap Party: Abusing First-Party Cookies for Web Tracking
Quan Chen
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Panagiotis Ilia
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Michalis Polychronakis
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Alexandros Kapravelos
User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users
Emmanouil Papadogiannakis
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Panagiotis Papadopoulos
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Nicolas Kourtellis
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Evangelos P. Markatos
It's Not Just the Site, It's the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts
Kailong Wang
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Junzhe Zhang
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Guangdong Bai
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Ryan K. L. Ko
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Jin Song Dong
Have You been Properly Notified? Automatic Compliance Analysis of Privacy Policy Text with GDPR Article 13
Shuang Liu
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Baiyang Zhao
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Renjie Guo
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Guozhu Meng
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Fan Zhang
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Meishan Zhang
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset
Ryan Amos
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Gunes Acar
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Elena Lucherini
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Mihir Kshirsagar
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Arvind Narayanan
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Jonathan R. Mayer
STAN: Spatio-Temporal Attention Network for Next Location Recommendation
Yingtao Luo
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Qiang Liu
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Zhaocheng Liu
Session-aware Linear Item-Item Models for Session-based Recommendation
Minjin Choi
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Jinhong Kim
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Joonseok Lee
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Hyunjung Shim
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Jongwuk Lee
Learning Fair Representations for Recommendation: A Graph-based Perspective
Le Wu
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Lei Chen
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Pengyang Shao
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Richang Hong
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Xiting Wang
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Meng Wang
Leveraging Review Properties for Effective Recommendation
Xi Wang
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Iadh Ounis
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Craig Macdonald
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation
Yin Zhang
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Derek Zhiyuan Cheng
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Tiansheng Yao
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Xinyang Yi
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Lichan Hong
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Ed H. Chi
DeepVista: 16K Panoramic Cinema on Your Mobile Device
Wenxiao Zhang
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Feng Qian
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Bo Han
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Pan Hui
CoopEdge: A Decentralized Blockchain-based Platform for Cooperative Edge Computing
Liang Yuan
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Qiang He
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Siyu Tan
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Bo Li
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Jiangshan Yu
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Feifei Chen
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Hai Jin
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Yun Yang
Temporal Analysis of the Entire Ethereum Blockchain Network
Lin Zhao
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Sourav Sen Gupta
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Arijit Khan
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Robby Luo
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series
Tsung-Yu Hsieh
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Yiwei Sun
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Xianfeng Tang
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Suhang Wang
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Vasant G. Honavar
Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network
Takuma Oda
Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision
Ye Li
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Hong Xie
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Yishi Lin
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John C. S. Lui
Automated Creative Optimization for E-Commerce Advertising
Jin Chen
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Ju Xu
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Gangwei Jiang
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Tiezheng Ge
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Zhiqiang Zhang
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Defu Lian
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Kai Zheng
GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising
Feiyang Pan
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Haoming Li
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Xiang Ao
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Wei Wang
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Yanrong Kang
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Ao Tan
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Qing He
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
Shiyao Wang
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Qi Liu
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Tiezheng Ge
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Defu Lian
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Zhiqiang Zhang
Local Clustering in Contextual Multi-Armed Bandits
Yikun Ban
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Jingrui He
Learning from Graph Propagation via Ordinal Distillation for One-Shot Automated Essay Scoring
Zhiwei Jiang
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Meng Liu
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Yafeng Yin
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Hua Yu
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Zifeng Cheng
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Qing Gu
Wiki2Prop: A Multimodal Approach for Predicting Wikidata Properties from Wikipedia
Michael Luggen
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Julien Audiffren
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Djellel Eddine Difallah
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Philippe Cudré-Mauroux
FANCY: Human-centered, Deep Learning-based Framework for Fashion Style Analysis
Youngseung Jeon
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Seungwan Jin
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Kyungsik Han
PARIMA: Viewport Adaptive 360-Degree Video Streaming
Lovish Chopra
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Sarthak Chakraborty
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Abhijit Mondal
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Sandip Chakraborty
Controllable and Diverse Text Generation in E-commerce
Huajie Shao
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Jun Wang
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Haohong Lin
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Xuezhou Zhang
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Aston Zhang
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Heng Ji
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Tarek F. Abdelzaher
Nonlinear Higher-Order Label Spreading
Francesco Tudisco
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Austin R. Benson
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Konstantin Prokopchik
HDMI: High-order Deep Multiplex Infomax
Baoyu Jing
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Chanyoung Park
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Hanghang Tong
Network of Tensor Time Series
Baoyu Jing
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Hanghang Tong
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Yada Zhu
Improving Graph Neural Networks with Structural Adaptive Receptive Fields
Xiaojun Ma
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Junshan Wang
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Hanyue Chen
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Guojie Song
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Kaize Ding
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Qinghai Zhou
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Hanghang Tong
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Huan Liu
Learning Dynamic User Behavior Based on Error-driven Event Representation
Honglian Wang
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Peiyan Li
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Wujun Tao
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Bailin Feng
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Junming Shao
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks
Tingyu Xia
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Yue Wang
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Yuan Tian
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Yi Chang
Wait, Let's Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases
Yunha Han
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Hwiyeon Kim
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Hyeshin Chu
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Joohee Kim
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Hyunwook Lee
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Seunghyeong Choe
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Dooyoung Jung
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Dongil Chung
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Bum Chul Kwon
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Sungahn Ko
Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance
Chunjong Park
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Morelle Arian
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Xin Liu
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Leon Sasson
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Jeffrey Kahn
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Shwetak N. Patel
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Alex Mariakakis
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Tim Althoff
Quiz-Style Question Generation for News Stories
Ádám D. Lelkes
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Vinh Q. Tran
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Cong Yu
Large-scale Comb-K Recommendation
Houye Ji
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Junxiong Zhu
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Chuan Shi
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Xiao Wang
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Bai Wang
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Chaoyu Zhang
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Zixuan Zhu
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Feng Zhang
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Yanghua Li
Dual Side Deep Context-aware Modulation for Social Recommendation
Bairan Fu
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Wenming Zhang
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Guangneng Hu
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Xinyu Dai
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Shujian Huang
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Jiajun Chen
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms
Aravind Sankar
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Yozen Liu
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Jun Yu
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Neil Shah
Pathfinder Discovery Networks for Neural Message Passing
Benedek Rozemberczki
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Peter Englert
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Amol Kapoor
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Martin Blais
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Bryan Perozzi
Few-Shot Graph Learning for Molecular Property Prediction
Zhichun Guo
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Chuxu Zhang
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Wenhao Yu
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John Herr
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Olaf Wiest
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Meng Jiang
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Nitesh V. Chawla
Multi-domain Dialogue State Tracking with Recursive Inference
Lizi Liao
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Tongyao Zhu
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Le Hong Long
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Tat-Seng Chua
Automatic Intent-Slot Induction for Dialogue Systems
Zengfeng Zeng
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Dan Ma
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Haiqin Yang
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Zhen Gou
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Jianping Shen
Multilingual COVID-QA: Learning towards Global Information Sharing via Web Question Answering in Multiple Languages
Rui Yan
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Weiheng Liao
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Jianwei Cui
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Hailei Zhang
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Yichuan Hu
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Dongyan Zhao
ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks
Bingning Wang
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Ting Yao
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Weipeng Chen
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Jingfang Xu
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Xiaochuan Wang
Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems
Cen Chen
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Chengyu Wang
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Minghui Qiu
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Dehong Gao
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Linbo Jin
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Wang Li
Computing Views of OWL Ontologies for the Semantic Web
Jiaqi Li
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Xuan Wu
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Chang Lu
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Wenxing Deng
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Yizheng Zhao
Advanced Semantics for Commonsense Knowledge Extraction
Tuan-Phong Nguyen
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Simon Razniewski
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Gerhard Weikum
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge
Tianqing Fang
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Hongming Zhang
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Weiqi Wang
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Yangqiu Song
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Bin He
Role-Aware Modeling for N-ary Relational Knowledge Bases
Yu Liu
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Quanming Yao
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Yong Li
Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus
Vinh Nguyen
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Hong Yung Yip
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Olivier Bodenreider
Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning
William Melicher
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Clement Fung
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Lujo Bauer
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Limin Jia
An Empirical Study of Real-World WebAssembly Binaries: Security, Languages, Use Cases
Aaron Hilbig
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Daniel Lehmann
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Michael Pradel
Security of Alerting Authorities in the WWW: Measuring Namespaces, DNSSEC, and Web PKI
Pouyan Fotouhi Tehrani
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Eric Osterweil
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Jochen H. Schiller
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Thomas C. Schmidt
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Matthias Wählisch
LChecker: Detecting Loose Comparison Bugs in PHP
Penghui Li
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Wei Meng
SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization
Dongsong Yu
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Guangliang Yang
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Guozhu Meng
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Xiaorui Gong
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Xiu Zhang
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Xiaobo Xiang
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Xiaoyu Wang
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Yue Jiang
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Kai Chen
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Wei Zou
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Wenke Lee
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Wenchang Shi
From Personal Data to Digital Legacy: Exploring Conflicts in the Sharing, Security and Privacy of Post-mortem Data
Jack Holt
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James Nicholson
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Jan David Smeddinck
ConceptGuide: Supporting Online Video Learning with Concept Map-based Recommendation of Learning Path
Chien-Lin Tang
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Jingxian Liao
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Hao-Chuan Wang
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Ching-Ying Sung
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Wen-Chieh Lin
An Experimental Study to Understand User Experience and Perception Bias Occurred by Fact-checking Messages
Sungkyu Park
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Jamie Yejean Park
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Hyojin Chin
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Jeong-han Kang
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Meeyoung Cha
Touch Screen Exploration of Visual Artwork for Blind People
Dragan Ahmetovic
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Nahyun Kwon
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Uran Oh
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Cristian Bernareggi
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Sergio Mascetti
Generating Accurate Caption Units for Figure Captioning
Xin Qian
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Eunyee Koh
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Fan Du
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Sungchul Kim
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Joel Chan
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Ryan A. Rossi
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Sana Malik
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Tak Yeon Lee
Stochastic bandits for multi-platform budget optimization in online advertising
Vashist Avadhanula
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Riccardo Colini-Baldeschi
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Stefano Leonardi
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Karthik Abinav Sankararaman
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Okke Schrijvers
Incrementality Testing in Programmatic Advertising: Enhanced Precision with Double-Blind Designs
Joel Barajas
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Narayan Bhamidipati
FM2: Field-matrixed Factorization Machines for Recommender Systems
Yang Sun
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Junwei Pan
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Alex Zhang
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Aaron Flores
Integrating Floor Plans into Hedonic Models for Rent Price Appraisal
Kirill Solovev
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Nicolas Pröllochs
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search
Jason Zhu
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Yanling Cui
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Yuming Liu
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Hao Sun
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Xue Li
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Markus Pelger
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Tianqi Yang
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Liangjie Zhang
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Ruofei Zhang
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Huasha Zhao
Leveraging User Behavior History for Personalized Email Search
Keping Bi
|
Pavel Metrikov
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Chunyuan Li
|
Byungki Byun
Partial-Softmax Loss based Deep Hashing
Rong-Cheng Tu
|
Xian-Ling Mao
|
Jia-Nan Guo
|
Wei Wei
|
Heyan Huang
Unsupervised Multi-Index Semantic Hashing
Christian Hansen
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Casper Hansen
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Jakob Grue Simonsen
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Stephen Alstrup
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Christina Lioma
Learning a Product Relevance Model from Click-Through Data in E-Commerce
Shaowei Yao
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Jiwei Tan
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Xi Chen
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Keping Yang
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Rong Xiao
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Hongbo Deng
|
Xiaojun Wan
High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding
Yongxin Wang
|
Zhen-Duo Chen
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Xin Luo
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Xin-Shun Xu
Hashing-Accelerated Graph Neural Networks for Link Prediction
Wei Wu
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Bin Li
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Chuan Luo
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Wolfgang Nejdl
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction
Yingheng Wang
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Yaosen Min
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Xin Chen
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Ji Wu
Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks
Xiangguo Sun
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Hongzhi Yin
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Bo Liu
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Hongxu Chen
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Qing Meng
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Wang Han
|
Jiuxin Cao
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
Ping Wang
|
Khushbu Agarwal
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Colby Ham
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Sutanay Choudhury
|
Chandan K. Reddy
Community Value Prediction in Social E-commerce
Guozhen Zhang
|
Yong Li
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Yuan Yuan
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Fengli Xu
|
Hancheng Cao
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Yujian Xu
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Depeng Jin
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
Cheng Hsu
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Cheng-Te Li
Disentangling User Interest and Conformity for Recommendation with Causal Embedding
Yu Zheng
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Chen Gao
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Xiang Li
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Xiangnan He
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Yong Li
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Depeng Jin
Future-Aware Diverse Trends Framework for Recommendation
Yujie Lu
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Shengyu Zhang
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Yingxuan Huang
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Luyao Wang
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Xinyao Yu
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Zhou Zhao
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Fei Wu
Graph Embedding for Recommendation against Attribute Inference Attacks
Shijie Zhang
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Hongzhi Yin
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Tong Chen
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Zi Huang
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Lizhen Cui
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Xiangliang Zhang
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems
Xiangyu Zhao
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Haochen Liu
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Hui Liu
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Jiliang Tang
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Weiwei Guo
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Jun Shi
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Sida Wang
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Huiji Gao
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Bo Long
Verdi: Quality Estimation and Error Detection for Bilingual Corpora
Mingjun Zhao
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Haijiang Wu
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Di Niu
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Zixuan Wang
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Xiaoli Wang
Crosslingual Topic Modeling with WikiPDA
Tiziano Piccardi
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Robert West
Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries
Yizhu Liu
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Qi Jia
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Kenny Q. Zhu
Graph Topic Neural Network for Document Representation
Qianqian Xie
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Jimin Huang
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Pan Du
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Min Peng
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Jian-Yun Nie
Insightful Dimensionality Reduction with Very Low Rank Variable Subsets
Bruno Ordozgoiti
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Sachith Pai
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Marta Kolczynska
SDFVAE: Static and Dynamic Factorized VAE for Anomaly Detection of Multivariate CDN KPIs
Liang Dai
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Tao Lin
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Chang Liu
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Bo Jiang
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Yanwei Liu
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Zhen Xu
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Zhi-Li Zhang
MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments
Guangba Yu
|
Pengfei Chen
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Hongyang Chen
|
Zijie Guan
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Zicheng Huang
|
Linxiao Jing
|
Tianjun Weng
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Xinmeng Sun
|
Xiaoyun Li
Outlier-Resilient Web Service QoS Prediction
Fanghua Ye
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Zhiwei Lin
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Chuan Chen
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Zibin Zheng
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Hong Huang
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
Letian Zhang
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Lixing Chen
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Jie Xu
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Shohreh Deldari
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Daniel V. Smith
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Hao Xue
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Flora D. Salim
REST: Reciprocal Framework for Spatiotemporal-coupled Predictions
Haozhe Lin
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Yushun Fan
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Jia Zhang
|
Bing Bai
Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks
Jinghua Piao
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Guozhen Zhang
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Fengli Xu
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Zhilong Chen
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Yong Li
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding
Song Jiang
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Bernard Koch
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Yizhou Sun
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
Yang Liu
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Xiang Ao
|
Zidi Qin
|
Jianfeng Chi
|
Jinghua Feng
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Hao Yang
|
Qing He
Rumor Detection with Field of Linear and Non-Linear Propagation
An Lao
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Chongyang Shi
|
Yayi Yang
Situation and Behavior Understanding by Trope Detection on Films
Chen-Hsi Chang
|
Hung-Ting Su
|
Juiheng Hsu
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Yu-Siang Wang
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Yu-Cheng Chang
|
Zhe Yu Liu
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Ya-Liang Chang
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Wen-Feng Cheng
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Ke-Jyun Wang
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Winston H. Hsu
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Kun Zhou
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Jing Cai
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Yancheng He
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Xingji Luo
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Ji-Rong Wen
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Lucas Maystre
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Dmitrii Moor
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Ashton Anderson
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Mounia Lalmas
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Masahiro Kato
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Mayu Otani
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Shin'ichi Satoh
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Ziyi Wang
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Zulong Chen
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Detao Lv
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Yao Yu
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Chuanfei Xu
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Zhihong Shen
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Yuxiao Dong
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Jiawei Han
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Chenwei Zhang
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Xin Luna Dong
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Jingbo Shang
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Jiawei Han
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Yuhua Tang
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Fuad T. Jamour
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Ruihui Zhao
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Xi Chen
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Denilson Barbosa
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Davide Mottin
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Paolo Papotti
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Jan Ehmüller
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Benjamin Feldmann
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Felix Naumann
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Jiaoyan Chen
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Zhuo Chen
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Jeff Z. Pan
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Zhiquan Ye
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Zonggang Yuan
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Yantao Jia
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Huajun Chen
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Philipp D. Rohde
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Maria-Esther Vidal
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks
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Rui Wen
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Xi Chen
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Shilei Cao
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Shao-Lun Huang
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Buyue Qian
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Kristen M. Altenburger
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Farshad Kooti
MStream: Fast Anomaly Detection in Multi-Aspect Streams
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Arjit Jain
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Pan Li
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Ritesh Kumar
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Bryan Hooi
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
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Hao Peng
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Jia Wu
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Yingtong Dou
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Jianxin Li
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Philip S. Yu
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Minyoung Choe
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Kijung Shin
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Gianmarco De Francisci Morales
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Xiaolan Wang
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Yoshihiko Suhara
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Stefanos Angelidis
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Yuliang Li
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Jinfeng Li
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Wang-Chiew Tan
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Jacob Danovitch
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Reihaneh Rabbany
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Yunfeng Cai
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Mingming Sun
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Ping Li
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Yonghao Fu
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Lin Gui
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Min Yang
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Jiachen Du
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Yulan He
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Ruifeng Xu
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Juan Cao
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Xirong Li
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Qiang Sheng
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Lei Zhong
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Kai Shu
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Sue Kase
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Michelle Vanni
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Brian M. Sadler
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Percy Liang
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Xifeng Yan
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Yu Su
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Tieke He
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Xinyu Dai
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Kenny Q. Zhu
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Xiubo Geng
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Tao Qin
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Yunfang Wu
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Daxin Jiang
Multi-level Connection Enhanced Representation Learning for Script Event Prediction
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Juwei Yue
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Shu Guo
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Jiawei Sheng
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Qianren Mao
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Zhenyu Chen
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Shenghai Zhong
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Chen Li
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Sheng Chen
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Baijun Wu
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Xu Yuan
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Xindong Wu
Taxonomy-aware Learning for Few-Shot Event Detection
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Fei Cai
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Wanyu Chen
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Wengqiang Lei
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Honghui Chen
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Xinyu Ma
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Junyi Gao
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Xianfeng Jiao
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Zhihao Yu
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Chaohe Zhang
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Wenjie Ruan
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Yasha Wang
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Shenda Hong
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Cao Xiao
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Bryan Low
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Jimeng Sun
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Long Xia
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Lixin Zou
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Dawei Yin
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Jiliang Tang
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Martha A. Larson
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ShiYao Zhou
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Wei Yuan
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Meng Luo
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Brian Kondracki
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Sangyup Lee
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Simon S. Woo
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Jun Wang
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Yuqing Tang
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Francisco Guzmán
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Benjamin I. P. Rubinstein
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Trevor Cohn
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Jiawei Chen
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Fuli Feng
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Xiangnan He
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Shuxian Bi
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Zhaolin Ding
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Peng Cui
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Wei Wang
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Yuxuan Liang
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Yujun Cai
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Bryan Hooi
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Jieming Shi
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Yin Yang
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Keke Huang
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Shiqi Zhang
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Xiaokui Xiao
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Mengzhou Liu
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Honglei Zhang
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Pengyun Wang
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Yong Wen
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Lujia Pan
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Hong Cheng
Bridging the Gap between von Neumann Graph Entropy and Structural Information: Theory and Applications
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Luoyi Fu
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Xinbing Wang
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Erik Schultheis
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Priyanshu Gupta
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Rohit Babbar
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Noveen Sachdeva
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Sheshansh Agrawal
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Sumeet Agarwal
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Purushottam Kar
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Manik Varma
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Arnav Kumar Jain
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Kushal Dave
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Jian Jiao
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Amit Singh
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Ruofei Zhang
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Manik Varma
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Hamed Zamani
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Xiaolu Lu
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J. Shane Culpepper
FedPS: A Privacy Protection Enhanced Personalized Search Framework
Jing Yao
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Zhicheng Dou
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Ji-Rong Wen
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Aleksandra Korolova
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John S. Heidemann
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Rashidul Islam
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Kamrun Naher Keya
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Ziqian Zeng
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Shimei Pan
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James R. Foulds
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Ping Liu
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Karthik Shivaram
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Aron Culotta
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Matthew A. Shapiro
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Mustafa Bilgic
Dialect Diversity in Text Summarization on Twitter
Vijay Keswani
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L. Elisa Celis
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Evaggelia Pitoura
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Panayiotis Tsaparas
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Ilias Kleftakis
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Nikos Mamoulis
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Ying Sun
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Fuzhen Zhuang
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Hengshu Zhu
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Qing He
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Hui Xiong
Personalized Approximate Pareto-Efficient Recommendation
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Yanlei Liu
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Shaoliang Zhang
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Rui Wang
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Feng Xia
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Leyu Lin
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models
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Soumajit Pramanik
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Rishiraj Saha Roy
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Gerhard Weikum
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SeongKu Kang
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Hwanjo Yu
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Ruohan Zhan
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Konstantina Christakopoulou
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Ya Le
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Jayden Ooi
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Martin Mladenov
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Alex Beutel
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Craig Boutilier
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Ed H. Chi
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Minmin Chen
Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination
Yang Zhou
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Zeru Zhang
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Sixing Wu
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Victor S. Sheng
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Xiaoying Han
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Zijie Zhang
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Ruoming Jin
Attent: Active Attributed Network Alignment
Qinghai Zhou
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Liangyue Li
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Xintao Wu
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Nan Cao
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Lei Ying
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Hanghang Tong
BRIGHT: A Bridging Algorithm for Network Alignment
Yuchen Yan
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Si Zhang
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Hanghang Tong
Sketch-based Algorithms for Approximate Shortest Paths in Road Networks
Gaurav Aggarwal
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Sreenivas Gollapudi
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Raghavender
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Ali Kemal Sinop
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Sen Huang
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Yi Zhou
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Bolin Ding
Auction Design for ROI-Constrained Buyers
Negin Golrezaei
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Ilan Lobel
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Renato Paes Leme
Bid Prediction in Repeated Auctions with Learning
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Vasilis Syrgkanis
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Yuan Deng
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Jieming Mao
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Vahab S. Mirrokni
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Song Zuo
Information Elicitation from Rowdy Crowds
Grant Schoenebeck
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Fang-Yi Yu
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Yichi Zhang
Evaluating the Rationales of Amateur Investors
Chung-Chi Chen
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Hen-Hsen Huang
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Hsin-Hsi Chen
Information Extraction From Co-Occurring Similar Entities
Nicolas Heist
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Heiko Paulheim
Unsupervised Semantic Association Learning with Latent Label Inference
Yanzhao Zhang
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Richong Zhang
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Jaein Kim
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Xudong Liu
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Yongyi Mao
TCN: Table Convolutional Network for Web Table Interpretation
Daheng Wang
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Prashant Shiralkar
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Colin Lockard
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Binxuan Huang
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Xin Luna Dong
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Meng Jiang
Extracting Contextualized Quantity Facts from Web Tables
Vinh Thinh Ho
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Koninika Pal
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Simon Razniewski
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Klaus Berberich
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Gerhard Weikum
Searching to Sparsify Tensor Decomposition for N-ary Relational Data
Shimin Di
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Quanming Yao
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Lei Chen