WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia (Editors)
- Anthology ID:
- 2021.wwwconf_conference-2021
- Year:
- 2021
- Venue:
- wwwconf_conference
- Publisher:
- ACM / IW3C2
- URL:
- https://doi.org/10.1145/3442381
- DOI:
- 10.1145/3442381
- DBLP:
- conf/www/2021
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
REST: Relational Event-driven Stock Trend Forecasting
Wentao Xu
|
Weiqing Liu
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Chang Xu
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Jiang Bian
|
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
|
Shivam Agarwal
|
Arnav Wadhwa
|
Rajiv Ratn Shah
Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges
Friedhelm Victor
|
Andrea Marie Weintraud
Towards Understanding and Demystifying Bitcoin Mixing Services
Lei Wu
|
Yufeng Hu
|
Yajin Zhou
|
Haoyu Wang
|
Xiapu Luo
|
Zhi Wang
|
Fan Zhang
|
Kui Ren
Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX
Kyle Soska
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Jin-Dong Dong
|
Alex Khodaverdian
|
Ariel Zetlin-Jones
|
Bryan R. Routledge
|
Nicolas Christin
On the Feasibility of Automated Built-in Function Modeling for PHP Symbolic Execution
Penghui Li
|
Wei Meng
|
Kangjie Lu
|
Changhua Luo
TLS 1.3 in Practice: How TLS 1.3 Contributes to the Internet
Hyunwoo Lee
|
Doowon Kim
|
Yonghwi Kwon
Towards Realistic and ReproducibleWeb Crawl Measurements
Jordan Jueckstock
|
Shaown Sarker
|
Peter Snyder
|
Aidan Beggs
|
Panagiotis Papadopoulos
|
Matteo Varvello
|
Benjamin Livshits
|
Alexandros Kapravelos
#Twiti: Social Listening for Threat Intelligence
Hyejin Shin
|
WooChul Shim
|
Saebom Kim
|
Sol Lee
|
Yong Goo Kang
|
Yong Ho Hwang
An Investigation of Identity-Account Inconsistency in Single Sign-On
Guannan Liu
|
Xing Gao
|
Haining Wang
An Alternative Cross Entropy Loss for Learning-to-Rank
Sebastian Bruch
Diversification-Aware Learning to Rank using Distributed Representation
Le Yan
|
Zhen Qin
|
Rama Kumar Pasumarthi
|
Xuanhui Wang
|
Michael Bendersky
Maximizing Marginal Fairness for Dynamic Learning to Rank
Tao Yang
|
Qingyao Ai
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer
Yiling Jia
|
Huazheng Wang
|
Stephen Guo
|
Hongning Wang
Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank
Harrie Oosterhuis
|
Maarten de Rijke
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics
Jing Ma
|
Qiuchen Zhang
|
Jian Lou
|
Li Xiong
|
Joyce C. Ho
Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations
Yujie Feng
|
Jiangtao Wang
|
Yasha Wang
|
Sumi Helal
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Ashish Sharma
|
Inna W. Lin
|
Adam S. Miner
|
David C. Atkins
|
Tim Althoff
Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice
Sebastian Cross
|
Ahmed Mourad
|
Guido Zuccon
|
Bevan Koopman
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Chacha Chen
|
Junjie Liang
|
Fenglong Ma
|
Lucas Glass
|
Jimeng Sun
|
Cao Xiao
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
Yusi Zhang
|
Chuanjie Liu
|
Angen Luo
|
Hui Xue
|
Xuan Shan
|
Yuxiang Luo
|
Yiqian Xia
|
Yuanchi Yan
|
Haidong Wang
Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction
Qiannan Cheng
|
Zhaochun Ren
|
Yujie Lin
|
Pengjie Ren
|
Zhumin Chen
|
Xiangyuan Liu
|
Maarten de Rijke
On the Value of Wikipedia as a Gateway to the Web
Tiziano Piccardi
|
Miriam Redi
|
Giovanni Colavizza
|
Robert West
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering
Christian Hansen
|
Casper Hansen
|
Jakob Grue Simonsen
|
Christina Lioma
Constructing a Comparison-based Click Model for Web Search
Ruizhe Zhang
|
Xiaohui Xie
|
Jiaxin Mao
|
Yiqun Liu
|
Min Zhang
|
Shaoping Ma
WiseTrans: Adaptive Transport Protocol Selection for Mobile Web Service
Jia Zhang
|
Enhuan Dong
|
Zili Meng
|
Yuan Yang
|
Mingwei Xu
|
Sijie Yang
|
Miao Zhang
|
Yang Yue
Surrounded by the Clouds: A Comprehensive Cloud Reachability Study
Lorenzo Corneo
|
Maximilian Eder
|
Nitinder Mohan
|
Aleksandr Zavodovski
|
Suzan Bayhan
|
Walter Wong
|
Per Gunningberg
|
Jussi Kangasharju
|
Jörg Ott
BrowseLite: A Private Data Saving Solution for the Web
Conor Kelton
|
Matteo Varvello
|
Andrius Aucinas
|
Ben Livshits
Superways: A Datacenter Topology for Incast-heavy workloads
Hamed Rezaei
|
Balajee Vamanan
BBR Bufferbloat in DASH Video
Santiago Vargas
|
Rebecca Drucker
|
Aiswarya Renganathan
|
Aruna Balasubramanian
|
Anshul Gandhi
Graph Structure Estimation Neural Networks
Ruijia Wang
|
Shuai Mou
|
Xiao Wang
|
Wanpeng Xiao
|
Qi Ju
|
Chuan Shi
|
Xing Xie
Efficient Probabilistic Truss Indexing on Uncertain Graphs
Zitan Sun
|
Xin Huang
|
Jianliang Xu
|
Francesco Bonchi
Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis
Katherine Van Koevering
|
Austin R. Benson
|
Jon M. Kleinberg
Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks
Ahmet Erdem Sariyüce
Heterogeneous Graph Neural Network via Attribute Completion
Di Jin
|
Cuiying Huo
|
Chundong Liang
|
Liang Yang
DGCN: Diversified Recommendation with Graph Convolutional Networks
Yu Zheng
|
Chen Gao
|
Liang Chen
|
Depeng Jin
|
Yong Li
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Junliang Yu
|
Hongzhi Yin
|
Jundong Li
|
Qinyong Wang
|
Nguyen Quoc Viet Hung
|
Xiangliang Zhang
Reinforcement Recommendation with User Multi-aspect Preference
Xu Chen
|
Yali Du
|
Long Xia
|
Jun Wang
Variation Control and Evaluation for Generative Slate Recommendations
Shuchang Liu
|
Fei Sun
|
Yingqiang Ge
|
Changhua Pei
|
Yongfeng Zhang
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
Zhe Xie
|
Chengxuan Liu
|
Yichi Zhang
|
Hongtao Lu
|
Dong Wang
|
Yue Ding
"Is it a Qoincidence?": An Exploratory Study of QAnon on Voat
Antonis Papasavva
|
Jeremy Blackburn
|
Gianluca Stringhini
|
Savvas Zannettou
|
Emiliano De Cristofaro
Chinese Wall or Swiss Cheese? Keyword filtering in the Great Firewall of China
Zachary Weinberg
|
Diogo Barradas
|
Nicolas Christin
Understanding the Impact of Encrypted DNS on Internet Censorship
Lin Jin
|
Shuai Hao
|
Haining Wang
|
Chase Cotton
Improving Cyberbullying Detection with User Interaction
Suyu Ge
|
Lu Cheng
|
Huan Liu
IFSpard: An Information Fusion-based Framework for Spam Review Detection
Yao Zhu
|
Hongzhi Liu
|
Yingpeng Du
|
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
|
Wei Song
|
Shiyu Sun
|
Yanfang Ye
|
Yujie Fan
|
Shifu Hou
|
Kenneth A. Loparo
|
Liang Zhao
Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking
Prashanth Vijayaraghavan
|
Deb Roy
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources
Sicheng Zhao
|
Yang Xiao
|
Jiang Guo
|
Xiangyu Yue
|
Jufeng Yang
|
Ravi Krishna
|
Pengfei Xu
|
Kurt Keutzer
Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective
Hao Fei
|
Yafeng Ren
|
Shengqiong Wu
|
Bobo Li
|
Donghong Ji
Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary
Mohammadzaman Zamani
|
H. Andrew Schwartz
High-dimensional Sparse Embeddings for Collaborative Filtering
Jan Van Balen
|
Bart Goethals
Sinkhorn Collaborative Filtering
Xiucheng Li
|
Jin Yao Chin
|
Yile Chen
|
Gao Cong
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering
Jianing Sun
|
Zhaoyue Cheng
|
Saba Zuberi
|
Felipe Pérez
|
Maksims Volkovs
Collaborative Filtering with Preferences Inferred from Brain Signals
Keith M. Davis III
|
Michiel M. A. Spapé
|
Tuukka Ruotsalo
Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective
Chao Wang
|
Hengshu Zhu
|
Qiming Hao
|
Keli Xiao
|
Hui Xiong
User-oriented Fairness in Recommendation
Yunqi Li
|
Hanxiong Chen
|
Zuohui Fu
|
Yingqiang Ge
|
Yongfeng Zhang
Mitigating Gender Bias in Captioning Systems
Ruixiang Tang
|
Mengnan Du
|
Yuening Li
|
Zirui Liu
|
Na Zou
|
Xia Hu
Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding
Nuno Mota
|
Negar Mohammadi
|
Palash Dey
|
Krishna P. Gummadi
|
Abhijnan Chakraborty
Understanding User Sensemaking in Machine Learning Fairness Assessment Systems
Ziwei Gu
|
Jing Nathan Yan
|
Jeffrey M. Rzeszotarski
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy
Fatemehsadat Mireshghallah
|
Mohammadkazem Taram
|
Ali Jalali
|
Ahmed Taha Elthakeb
|
Dean M. Tullsen
|
Hadi Esmaeilzadeh
Twin Peaks, a Model for Recurring Cascades
Matteo Almanza
|
Silvio Lattanzi
|
Alessandro Panconesi
|
Giuseppe Re
TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks
Yanbang Wang
|
Pan Li
|
Chongyang Bai
|
Jure Leskovec
Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes
Maximilian Nickel
|
Matthew Le
DYMOND: DYnamic MOtif-NoDes Network Generative Model
Giselle Zeno
|
Timothy La Fond
|
Jennifer Neville
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
Alasdair Tran
|
Alexander Patrick Mathews
|
Cheng Soon Ong
|
Lexing Xie
Towards a Better Understanding of Query Reformulation Behavior in Web Search
Jia Chen
|
Jiaxin Mao
|
Yiqun Liu
|
Fan Zhang
|
Min Zhang
|
Shaoping Ma
Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation
Xiangsheng Li
|
Jiaxin Mao
|
Weizhi Ma
|
Yiqun Liu
|
Min Zhang
|
Shaoping Ma
|
Zhaowei Wang
|
Xiuqiang He
Controllable Gradient Item Retrieval
Haonan Wang
|
Chang Zhou
|
Carl Yang
|
Hongxia Yang
|
Jingrui He
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval
Xueli Yu
|
Weizhi Xu
|
Zeyu Cui
|
Shu Wu
|
Liang Wang
Cross-Positional Attention for Debiasing Clicks
Honglei Zhuang
|
Zhen Qin
|
Xuanhui Wang
|
Michael Bendersky
|
Xinyu Qian
|
Po Hu
|
Dan Chary Chen
Inductive Entity Representations from Text via Link Prediction
Daniel Daza
|
Michael Cochez
|
Paul Groth
Revisiting the Evaluation Protocol of Knowledge Graph Completion Methods for Link Prediction
Sudhanshu Tiwari
|
Iti Bansal
|
Carlos R. Rivero
Boosting the Speed of Entity Alignment 10 ×: Dual Attention Matching Network with Normalized Hard Sample Mining
Xin Mao
|
Wenting Wang
|
Yuanbin Wu
|
Man Lan
Progressive, Holistic Geospatial Interlinking
George Papadakis
|
Georgios M. Mandilaras
|
Nikos Mamoulis
|
Manolis Koubarakis
RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs
Paolo Rosso
|
Dingqi Yang
|
Natalia Ostapuk
|
Philippe Cudré-Mauroux
A Recommender System for Crowdsourcing Food Rescue Platforms
Zheyuan Ryan Shi
|
Leah Lizarondo
|
Fei Fang
A Workflow Analysis of Context-driven Conversational Recommendation
Shengnan Lyu
|
Arpit Rana
|
Scott Sanner
|
Mohamed Reda Bouadjenek
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang
|
Tinglin Huang
|
Dingxian Wang
|
Yancheng Yuan
|
Zhenguang Liu
|
Xiangnan He
|
Tat-Seng Chua
Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests
Xing Zhao
|
Ziwei Zhu
|
James Caverlee
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce
Jialiang Han
|
Yun Ma
|
Qiaozhu Mei
|
Xuanzhe Liu
Meta-HAR: Federated Representation Learning for Human Activity Recognition
Chenglin Li
|
Di Niu
|
Bei Jiang
|
Xiao Zuo
|
Jianming Yang
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization
Bingyan Liu
|
Yao Guo
|
Xiangqun Chen
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
Chengxu Yang
|
Qipeng Wang
|
Mengwei Xu
|
Zhenpeng Chen
|
Kaigui Bian
|
Yunxin Liu
|
Xuanzhe Liu
Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction
Jingwen Zhang
|
Yuezhou Wu
|
Rong Pan
Hierarchical Personalized Federated Learning for User Modeling
Jinze Wu
|
Qi Liu
|
Zhenya Huang
|
Yuting Ning
|
Hao Wang
|
Enhong Chen
|
Jinfeng Yi
|
Bowen Zhou
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Minghong Fang
|
Minghao Sun
|
Qi Li
|
Neil Zhenqiang Gong
|
Jin Tian
|
Jia Liu
Deepfake Videos in the Wild: Analysis and Detection
Jiameng Pu
|
Neal Mangaokar
|
Lauren Kelly
|
Parantapa Bhattacharya
|
Kavya Sundaram
|
Mobin Javed
|
Bolun Wang
|
Bimal Viswanath
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks
Tianhao Wang
|
Florian Kerschbaum
CoResident Evil: Covert Communication In The Cloud With Lambdas
Anil Yelam
|
Shibani Subbareddy
|
Keerthana Ganesan
|
Stefan Savage
|
Ariana Mirian
DAPter: Preventing User Data Abuse in Deep Learning Inference Services
Hao Wu
|
Xuejin Tian
|
Yuhang Gong
|
Xing Su
|
Minghao Li
|
Fengyuan Xu
Cross-lingual Language Model Pretraining for Retrieval
Puxuan Yu
|
Hongliang Fei
|
Ping Li
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning
Ziyan Luo
|
Linfeng Zhao
|
Wei Cheng
|
Sihao Chen
|
Qi Chen
|
Hui Xue
|
Haidong Wang
|
Chuanjie Liu
|
Mao Yang
|
Lintao Zhang
A Linguistic Study on Relevance Modeling in Information Retrieval
Yixing Fan
|
Jiafeng Guo
|
Xinyu Ma
|
Ruqing Zhang
|
Yanyan Lan
|
Xueqi Cheng
Estimation of Fair Ranking Metrics with Incomplete Judgments
Ömer Kirnap
|
Fernando Diaz
|
Asia Biega
|
Michael D. Ekstrand
|
Ben Carterette
|
Emine Yilmaz
Pivot-based Candidate Retrieval for Cross-lingual Entity Linking
Qian Liu
|
Xiubo Geng
|
Jie Lu
|
Daxin Jiang
The Structure of Toxic Conversations on Twitter
Martin Saveski
|
Brandon Roy
|
Deb Roy
Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial
Andreas Spitz
|
Ahmad Abu-Akel
|
Robert West
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups
Punyajoy Saha
|
Binny Mathew
|
Kiran Garimella
|
Animesh Mukherjee
"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19
Fatemeh Tahmasbi
|
Leonard Schild
|
Chen Ling
|
Jeremy Blackburn
|
Gianluca Stringhini
|
Yang Zhang
|
Savvas Zannettou
Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations
Jiajun Bao
|
Junjie Wu
|
Yiming Zhang
|
Eshwar Chandrasekharan
|
David Jurgens
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior
Patara Trirat
|
Jae-Gil Lee
Dissecting Performance of Production QUIC
Alexander Yu
|
Theophilus A. Benson
XY-Sketch: on Sketching Data Streams at Web Scale
Yongqiang Liu
|
Xike Xie
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms
Chuan Luo
|
Pu Zhao
|
Bo Qiao
|
Youjiang Wu
|
Hongyu Zhang
|
Wei Wu
|
Weihai Lu
|
Yingnong Dang
|
Saravanakumar Rajmohan
|
Qingwei Lin
|
Dongmei Zhang
WebSocket Adoption and the Landscape of the Real-Time Web
Paul Murley
|
Zane Ma
|
Joshua Mason
|
Michael Bailey
|
Amin Kharraz
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
Qingqing Long
|
Yilun Jin
|
Yi Wu
|
Guojie Song
Interpreting and Unifying Graph Neural Networks with An Optimization Framework
Meiqi Zhu
|
Xiao Wang
|
Chuan Shi
|
Houye Ji
|
Peng Cui
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
Cheng Yang
|
Jiawei Liu
|
Chuan Shi
CurGraph: Curriculum Learning for Graph Classification
Yiwei Wang
|
Wei Wang
|
Yuxuan Liang
|
Yujun Cai
|
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
|
Neil Zhenqiang Gong
|
Lu Yin
|
Mingyang Yin
|
Jingren Zhou
|
Hongxia Yang
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation
Junsu Cho
|
Dongmin Hyun
|
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
|
Zan Gao
|
Liqiang Nie
Task-adaptive Neural Process for User Cold-Start Recommendation
Xixun Lin
|
Jia Wu
|
Chuan Zhou
|
Shirui Pan
|
Yanan Cao
|
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
|
Zhenyu Huang
|
Yongjun Wang
|
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
|
Xujiang Zhao
|
Hemeng Tao
|
Yigong Wang
|
Latifur Khan
Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective
Paul Liu
|
Akshay Soni
|
Eun Yong Kang
|
Yajun Wang
|
Mehul Parsana
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
Nurendra Choudhary
|
Nikhil Rao
|
Sumeet Katariya
|
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
|
Christian Aebeloe
|
Gabriela Montoya
|
Ilkcan Keles
|
Axel Polleres
|
Katja Hose
A Longitudinal Study of Removed Apps in iOS App Store
Fuqi Lin
|
Haoyu Wang
|
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
|
Shijia Zhang
|
Mahanth Gowda
Whale Watching in Inland Indonesia: Analyzing a Small, Remote, Internet-Based Community Cellular Network
Matthew Johnson
|
Jenny Liang
|
Michelle Lin
|
Sudheesh Singanamalla
|
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
|
Jun Gao
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles
Jiahuan Pei
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Pengjie Ren
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Maarten de Rijke
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling
Mengfan Yao
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Siqian Zhao
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Shaghayegh Sahebi
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Reza Feyzi-Behnagh
Personalized Treatment Selection using Causal Heterogeneity
Ye Tu
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Kinjal Basu
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Cyrus DiCiccio
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Romil Bansal
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Preetam Nandy
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Padmini Jaikumar
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Shaunak Chatterjee
Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching
Zixuan Yuan
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Hao Liu
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Junming Liu
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Yanchi Liu
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Yang Yang
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Renjun Hu
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Hui Xiong
Slot Self-Attentive Dialogue State Tracking
Fanghua Ye
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Jarana Manotumruksa
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Qiang Zhang
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Shenghui Li
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Emine Yilmaz
Dynamic Embeddings for Interaction Prediction
Zekarias T. Kefato
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Sarunas Girdzijauskas
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Nasrullah Sheikh
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Alberto Montresor
Knowledge Embedding Based Graph Convolutional Network
Donghan Yu
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Yiming Yang
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Ruohong Zhang
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Yuexin Wu
Motif-Preserving Dynamic Attributed Network Embedding
Zhijun Liu
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Chao Huang
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Yanwei Yu
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Junyu Dong
Highly Liquid Temporal Interaction Graph Embeddings
Huidi Chen
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Yun Xiong
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Yangyong Zhu
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Philip S. Yu
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
Hansheng Xue
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Luwei Yang
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Vaibhav Rajan
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Wen Jiang
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Yi Wei
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Yu Lin
Semi-Open Information Extraction
Bowen Yu
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Zhenyu Zhang
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Jiawei Sheng
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Tingwen Liu
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Yubin Wang
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Yucheng Wang
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Bin Wang
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network
Anson Bastos
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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
|
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
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Byungki Byun
Partial-Softmax Loss based Deep Hashing
Rong-Cheng Tu
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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
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Xiaojun Wan
High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding
Yongxin Wang
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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
|
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
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Jiuxin Cao
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
Ping Wang
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Khushbu Agarwal
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Colby Ham
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Sutanay Choudhury
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Chandan K. Reddy
Community Value Prediction in Social E-commerce
Guozhen Zhang
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Yong Li
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Yuan Yuan
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Fengli Xu
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Hancheng Cao
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Yujian Xu
|
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
|
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
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Pengfei Chen
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Hongyang Chen
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Zijie Guan
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Zicheng Huang
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Linxiao Jing
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Tianjun Weng
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Xinmeng Sun
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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
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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
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Zidi Qin
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Jianfeng Chi
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Jinghua Feng
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Hao Yang
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Qing He
Rumor Detection with Field of Linear and Non-Linear Propagation
An Lao
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Chongyang Shi
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Yayi Yang
Situation and Behavior Understanding by Trope Detection on Films
Chen-Hsi Chang
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Hung-Ting Su
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Juiheng Hsu
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Yu-Siang Wang
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Yu-Cheng Chang
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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
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps
Shuqing Bian
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Wayne Xin Zhao
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Kun Zhou
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Xu Chen
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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
Where To Next? A Dynamic Model of User Preferences
Francesco Sanna Passino
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Lucas Maystre
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Dmitrii Moor
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Ashton Anderson
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Mounia Lalmas
Density-Ratio Based Personalised Ranking from Implicit Feedback
Riku Togashi
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Masahiro Kato
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Mayu Otani
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Shin'ichi Satoh
Itinerary-aware Personalized Deep Matching at Fliggy
Jia Xu
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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
MATCH: Metadata-Aware Text Classification in A Large Hierarchy
Yu Zhang
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Zhihong Shen
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Yuxiao Dong
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Kuansan Wang
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Jiawei Han
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks
Xinyang Zhang
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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
Scalable Auto-weighted Discrete Multi-view Clustering
Longqi Yang
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Liangliang Zhang
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Yuhua Tang
Linguistically-Enriched and Context-AwareZero-shot Slot Filling
A. B. Siddique
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Fuad T. Jamour
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Vagelis Hristidis
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion
Suyuchen Wang
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Ruihui Zhao
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Xi Chen
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Yefeng Zheng
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Bang Liu
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out
Peiran Yao
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Denilson Barbosa
Few-Shot Knowledge Validation using Rules
Michael Loster
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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
OntoZSL: Ontology-enhanced Zero-shot Learning
Yuxia Geng
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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
Trav-SHACL: Efficiently Validating Networks of SHACL Constraints
Mónica Figuera
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Philipp D. Rohde
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Maria-Esther Vidal
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks
Zifeng Wang
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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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Yefeng Zheng
Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests
Yuan Yuan
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Kristen M. Altenburger
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Farshad Kooti
MStream: Fast Anomaly Detection in Multi-Aspect Streams
Siddharth Bhatia
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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
Yuwei Cao
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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
How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators
Geon Lee
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Minyoung Choe
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Kijung Shin
STruD: Truss Decomposition of Simplicial Complexes
Giulia Preti
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Gianmarco De Francisci Morales
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Francesco Bonchi
Constructing Explainable Opinion Graphs from Reviews
Nofar Carmeli
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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
The Surprising Performance of Simple Baselines for Misinformation Detection
Kellin Pelrine
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Jacob Danovitch
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Reihaneh Rabbany
MQuadE: a Unified Model for Knowledge Fact Embedding
Jinxing Yu
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Yunfeng Cai
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Mingming Sun
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Ping Li
Target-adaptive Graph for Cross-target Stance Detection
Bin Liang
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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
Mining Dual Emotion for Fake News Detection
Xueyao Zhang
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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
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
Yu Gu
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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
Improving Neural Question Generation using Deep Linguistic Representation
Wei Yuan
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Tieke He
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Xinyu Dai
Diverse and Specific Clarification Question Generation with Keywords
Zhiling Zhang
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Kenny Q. Zhu
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training
Zhihan Zhang
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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
Lihong Wang
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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
Unsupervised Lifelong Learning with Curricula
Yi He
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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
Jianming Zheng
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Fei Cai
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Wanyu Chen
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Wengqiang Lei
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Honghui Chen
Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis
Liantao Ma
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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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Wen Tang
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Jiangtao Wang
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings
Trong Nghia Hoang
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Shenda Hong
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Cao Xiao
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Bryan Low
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Jimeng Sun
UserSim: User Simulation via Supervised GenerativeAdversarial Network
Xiangyu Zhao
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Long Xia
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Lixin Zou
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Hui Liu
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Dawei Yin
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Jiliang Tang
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
Zhuoran Liu
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Martha A. Larson
Robust Android Malware Detection against Adversarial Example Attacks
Heng Li
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ShiYao Zhou
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Wei Yuan
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Xiapu Luo
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Cuiying Gao
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Shuiyan Chen
Where are you taking me?Understanding Abusive Traffic Distribution Systems
Janos Szurdi
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Meng Luo
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Brian Kondracki
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Nick Nikiforakis
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Nicolas Christin
One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework
Shahroz Tariq
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Sangyup Lee
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Simon S. Woo
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning
Chang Xu
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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
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
Hande Dong
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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
Mixup for Node and 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
Effective and Scalable Clustering on Massive Attributed Graphs
Renchi Yang
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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
Mask-GVAE: Blind Denoising Graphs via Partition
Jia Li
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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
Xuecheng Liu
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Luoyi Fu
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Xinbing Wang
Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels
Mohammadreza Qaraei
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Erik Schultheis
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Priyanshu Gupta
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Rohit Babbar
ECLARE: Extreme Classification with Label Graph Correlations
Anshul Mittal
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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
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification
Deepak Saini
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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
Generalizing Discriminative Retrieval Models using Generative Tasks
Binsheng Liu
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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
Auditing for Discrimination in Algorithms Delivering Job Ads
Basileal Imana
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Aleksandra Korolova
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John S. Heidemann
Debiasing Career Recommendations with Neural Fair Collaborative Filtering
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
The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms
Ping Liu
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Karthik Shivaram
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Aron Culotta
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Matthew A. Shapiro
|
Mustafa Bilgic
Dialect Diversity in Text Summarization on Twitter
Vijay Keswani
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L. Elisa Celis
Fairness-Aware PageRank
Sotiris Tsioutsiouliklis
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Evaggelia Pitoura
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Panayiotis Tsaparas
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Ilias Kleftakis
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Nikos Mamoulis
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning
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
Ruobing Xie
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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
Azin Ghazimatin
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Soumajit Pramanik
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Rishiraj Saha Roy
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Gerhard Weikum
Bidirectional Distillation for Top-K Recommender System
Wonbin Kweon
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SeongKu Kang
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Hwanjo Yu
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
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
|
Zijie Zhang
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Ruoming Jin
Attent: Active Attributed Network Alignment
Qinghai Zhou
|
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
|
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
Efficient Reductions and a Fast Algorithm of Maximum Weighted Independent Set
Mingyu Xiao
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Sen Huang
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Yi Zhou
|
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
Gali Noti
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Vasilis Syrgkanis
Towards Efficient Auctions in an Auto-bidding World
Yuan Deng
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Jieming Mao
|
Vahab S. Mirrokni
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Song Zuo
Information Elicitation from Rowdy Crowds
Grant Schoenebeck
|
Fang-Yi Yu
|
Yichi Zhang
Evaluating the Rationales of Amateur Investors
Chung-Chi Chen
|
Hen-Hsen Huang
|
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
|
Richong Zhang
|
Jaein Kim
|
Xudong Liu
|
Yongyi Mao
TCN: Table Convolutional Network for Web Table Interpretation
Daheng Wang
|
Prashant Shiralkar
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Colin Lockard
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Binxuan Huang
|
Xin Luna Dong
|
Meng Jiang
Extracting Contextualized Quantity Facts from Web Tables
Vinh Thinh Ho
|
Koninika Pal
|
Simon Razniewski
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Klaus Berberich
|
Gerhard Weikum
Searching to Sparsify Tensor Decomposition for N-ary Relational Data
Shimin Di
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Quanming Yao
|
Lei Chen