WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Frédérique Laforest, Raphaël Troncy, Elena Simperl, Deepak Agarwal, Aristides Gionis, Ivan Herman, Lionel Médini (Editors)
- Anthology ID:
- 2022.wwwconf_conference-2022
- Year:
- 2022
- Venue:
- wwwconf_conference
- Publisher:
- ACM
- URL:
- https://doi.org/10.1145/3485447
- DOI:
- 10.1145/3485447
- DBLP:
- conf/www/2022
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Search Engines: From the Lab to the Engine Room, and Back: Keynote Talk
Prabhakar Raghavan
How the Web Will Shape the Hybrid Work Era: Keynote Talk
Jaime Teevan
Responsible AI: From Principles To Action: Keynote Talk
Virginia Dignum
Regulatory Instruments for Fair Personalized Pricing
Renzhe Xu
|
Xingxuan Zhang
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Peng Cui
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Bo Li
|
Zheyan Shen
|
Jiazheng Xu
Allocating Stimulus Checks in Times of Crisis
Marios Papachristou
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Jon M. Kleinberg
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework
Xiaoxiao Xu
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Chen Yang
|
Qian Yu
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Zhiwei Fang
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Jiaxing Wang
|
Chaosheng Fan
|
Yang He
|
Changping Peng
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Zhangang Lin
|
Jingping Shao
BONUS! Maximizing Surprise
Zhihuan Huang
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Yuqing Kong
|
Tracy Xiao Liu
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Grant Schoenebeck
|
Shengwei Xu
Calibrated Click-Through Auctions
Dirk Bergemann
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Paul Dütting
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Renato Paes Leme
|
Song Zuo
Price Manipulability in First-Price Auctions
Johannes Brustle
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Paul Dütting
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Balasubramanian Sivan
Equilibria in Auctions with Ad Types
Hadi Elzayn
|
Riccardo Colini-Baldeschi
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Brian Lan
|
Okke Schrijvers
Optimal Collaterals in Multi-Enterprise Investment Networks
Moshe Babaioff
|
Yoav Kolumbus
|
Eyal Winter
On Designing a Two-stage Auction for Online Advertising
Yiqing Wang
|
Xiangyu Liu
|
Zhenzhe Zheng
|
Zhilin Zhang
|
Miao Xu
|
Chuan Yu
|
Fan Wu
Auctions between Regret-Minimizing Agents
Yoav Kolumbus
|
Noam Nisan
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction
Min Hou
|
Chang Xu
|
Zhi Li
|
Yang Liu
|
Weiqing Liu
|
Enhong Chen
|
Jiang Bian
Almost (Weighted) Proportional Allocations for Indivisible Chores1003310033
Bo Li
|
Yingkai Li
|
Xiaowei Wu
Beyond Customer Lifetime Valuation: Measuring the Value of Acquisition and Retention for Subscription Services
Hamidreza Badri
|
Allen Tran
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
Xiaotie Deng
|
Xinyan Hu
|
Tao Lin
|
Weiqiang Zheng
Truthful Online Scheduling of Cloud Workloads under Uncertainty
Moshe Babaioff
|
Ronny Lempel
|
Brendan Lucier
|
Ishai Menache
|
Aleksandrs Slivkins
|
Sam Chiu-wai Wong
The Parity Ray Regularizer for Pacing in Auction Markets
Andrea Celli
|
Riccardo Colini-Baldeschi
|
Christian Kroer
|
Eric Sodomka
Auction Design in an Auto-bidding Setting: Randomization Improves Efficiency Beyond VCG
Aranyak Mehta
Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms
Hannah Li
|
Geng Zhao
|
Ramesh Johari
|
Gabriel Y. Weintraub
Learning Explicit User Interest Boundary for Recommendation
Jianhuan Zhuo
|
Qiannan Zhu
|
Yinliang Yue
|
Yuhong Zhao
Modeling User Behavior with Graph Convolution for Personalized Product Search
Lu Fan
|
Qimai Li
|
Bo Liu
|
Xiao-Ming Wu
|
Xiaotong Zhang
|
Fuyu Lv
|
Guli Lin
|
Sen Li
|
Taiwei Jin
|
Keping Yang
Global or Local: Constructing Personalized Click Models for Web Search
Junqi Zhang
|
Yiqun Liu
|
Jiaxin Mao
|
Xiaohui Xie
|
Min Zhang
|
Shaoping Ma
|
Qi Tian
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data
Zihua Si
|
Xueran Han
|
Xiao Zhang
|
Jun Xu
|
Yue Yin
|
Yang Song
|
Ji-Rong Wen
CoSimHeat: An Effective Heat Kernel Similarity Measure Based on Billion-Scale Network Topology10033
Weiren Yu
|
Jian Yang
|
Maoyin Zhang
|
Di Wu
Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads
Kaifu Zheng
|
Lu Wang
|
Yu Li
|
Xusong Chen
|
Hu Liu
|
Jing Lu
|
Xiwei Zhao
|
Changping Peng
|
Zhangang Lin
|
Jingping Shao
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search
Dian Cheng
|
Jiawei Chen
|
Wenjun Peng
|
Wenqin Ye
|
Fuyu Lv
|
Tao Zhuang
|
Xiaoyi Zeng
|
Xiangnan He
Efficient Neural Ranking using Forward Indexes
Jurek Leonhardt
|
Koustav Rudra
|
Megha Khosla
|
Abhijit Anand
|
Avishek Anand
A Gain-Tuning Dynamic Negative Sampler for Recommendation
Qiannan Zhu
|
Haobo Zhang
|
Qing He
|
Zhicheng Dou
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval
Shitao Xiao
|
Zheng Liu
|
Weihao Han
|
Jianjin Zhang
|
Yingxia Shao
|
Defu Lian
|
Chaozhuo Li
|
Hao Sun
|
Denvy Deng
|
Liangjie Zhang
|
Qi Zhang
|
Xing Xie
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback
Jie Li
|
Yongli Ren
|
Ke Deng
Efficient and Effective Similarity Search over Bipartite Graphs
Renchi Yang
Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments
Kevin Roitero
|
Alessandro Checco
|
Stefano Mizzaro
|
Gianluca Demartini
Optimizing Rankings for Recommendation in Matching Markets
Yi Su
|
Magd Bayoumi
|
Thorsten Joachims
Socialformer: Social Network Inspired Long Document Modeling for Document Ranking
Yujia Zhou
|
Zhicheng Dou
|
Huaying Yuan
|
Zhengyi Ma
PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation
Haoyu Pang
|
Fausto Giunchiglia
|
Ximing Li
|
Renchu Guan
|
Xiaoyue Feng
A Category-aware Multi-interest Model for Personalized Product Search
Jiongnan Liu
|
Zhicheng Dou
|
Qiannan Zhu
|
Ji-Rong Wen
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction
Yu Chen
|
Jiaqi Jin
|
Hui Zhao
|
Pengjie Wang
|
Guojun Liu
|
Jian Xu
|
Bo Zheng
Towards a Better Understanding of Human Reading Comprehension with Brain Signals
Ziyi Ye
|
Xiaohui Xie
|
Yiqun Liu
|
Zhihong Wang
|
Xuesong Chen
|
Min Zhang
|
Shaoping Ma
ParClick: A Scalable Algorithm for EM-based Click Models
Pooya Khandel
|
Ilya Markov
|
Andrew Yates
|
Ana Lucia Varbanescu
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed
Guogang Liao
|
Ze Wang
|
Xiaoxu Wu
|
Xiaowen Shi
|
Chuheng Zhang
|
Yongkang Wang
|
Xingxing Wang
|
Dong Wang
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation
Yue He
|
Zimu Wang
|
Peng Cui
|
Hao Zou
|
Yafeng Zhang
|
Qiang Cui
|
Yong Jiang
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation
Qijie Shen
|
Hong Wen
|
Wanjie Tao
|
Jing Zhang
|
Fuyu Lv
|
Zulong Chen
|
Zhao Li
Learning Neural Ranking Models Online from Implicit User Feedback
Yiling Jia
|
Hongning Wang
StruBERT: Structure-aware BERT for Table Search and Matching
Mohamed Trabelsi
|
Zhiyu Chen
|
Shuo Zhang
|
Brian D. Davison
|
Jeff Heflin
Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees
Philip A. Etter
|
Kai Zhong
|
Hsiang-Fu Yu
|
Lexing Ying
|
Inderjit S. Dhillon
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
Ruijie Wang
|
Zheng Li
|
Danqing Zhang
|
Qingyu Yin
|
Tong Zhao
|
Bing Yin
|
Tarek F. Abdelzaher
Learning Probabilistic Box Embeddings for Effective and Efficient Ranking
Lang Mei
|
Jiaxin Mao
|
Gang Guo
|
Ji-Rong Wen
Knowledge-aware Conversational Preference Elicitation with Bandit Feedback
Canzhe Zhao
|
Tong Yu
|
Zhihui Xie
|
Shuai Li
A Multi-task Learning Framework for Product Ranking with BERT
Xuyang Wu
|
Alessandro Magnani
|
Suthee Chaidaroon
|
Ajit Puthenputhussery
|
Ciya Liao
|
Yi Fang
Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning
Euna Jung
|
Jaekeol Choi
|
Wonjong Rhee
Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack
Shahroz Tariq
|
Sowon Jeon
|
Simon S. Woo
Game of Hide-and-Seek: Exposing Hidden Interfaces in Embedded Web Applications of IoT Devices
Wei Xie
|
Jiongyi Chen
|
Zhenhua Wang
|
Chao Feng
|
Enze Wang
|
Yifei Gao
|
Baosheng Wang
|
Kai Lu
Reproducibility and Replicability of Web Measurement Studies
Nurullah Demir
|
Matteo Große-Kampmann
|
Tobias Urban
|
Christian Wressnegger
|
Thorsten Holz
|
Norbert Pohlmann
Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning
Thai Le
|
Long Tran-Thanh
|
Dongwon Lee
A View into YouTube View Fraud
Dhruv Kuchhal
|
Frank Li
Et tu, Brute? Privacy Analysis of Government Websites and Mobile Apps
Nayanamana Samarasinghe
|
Aashish Adhikari
|
Mohammad Mannan
|
Amr M. Youssef
Investigating Advertisers' Domain-changing Behaviors and Their Impacts on Ad-blocker Filter Lists
Su-Chin Lin
|
Kai-Hsiang Chou
|
Yen Chen
|
Hsu-Chun Hsiao
|
Darion Cassel
|
Lujo Bauer
|
Limin Jia
Verba Volant, Scripta Volant: Understanding Post-publication Title Changes in News Outlets
Xingzhi Guo
|
Brian Kondracki
|
Nick Nikiforakis
|
Steven Skiena
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy
Zhongzheng Xiong
|
Jialin Sun
|
Xiaojun Mao
|
Jian Wang
|
Shan Ying
|
Zengfeng Huang
MemStream: Memory-Based Streaming Anomaly Detection
Siddharth Bhatia
|
Arjit Jain
|
Shivin Srivastava
|
Kenji Kawaguchi
|
Bryan Hooi
Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang
|
Song Guo
|
Xin Xie
|
Heng Qi
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
Xinjie Lin
|
Gang Xiong
|
Gaopeng Gou
|
Zhen Li
|
Junzheng Shi
|
Jing Yu
Attention-Based Vandalism Detection in OpenStreetMap
Nicolas Tempelmeier
|
Elena Demidova
CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning
Zhensu Sun
|
Xiaoning Du
|
Fu Song
|
Mingze Ni
|
Li Li
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
Sijia Li
|
Gaopeng Gou
|
Chang Liu
|
Chengshang Hou
|
Zhenzhen Li
|
Gang Xiong
Measuring Alexa Skill Privacy Practices across Three Years
Jide S. Edu
|
Xavier Ferrer Aran
|
Jose M. Such
|
Guillermo Suarez-Tangil
Revisiting Email Forwarding Security under the Authenticated Received Chain Protocol
Chenkai Wang
|
Gang Wang
ALLIE: Active Learning on Large-scale Imbalanced Graphs
Limeng Cui
|
Xianfeng Tang
|
Sumeet Katariya
|
Nikhil Rao
|
Pallav Agrawal
|
Karthik Subbian
|
Dongwon Lee
Beyond Bot Detection: Combating Fraudulent Online Survey Takers10033
Ziyi Zhang
|
Shuofei Zhu
|
Jaron Mink
|
Aiping Xiong
|
Linhai Song
|
Gang Wang
Measuring the Privacy vs. Compatibility Trade-off in Preventing Third-Party Stateful Tracking
Jordan Jueckstock
|
Peter Snyder
|
Shaown Sarker
|
Alexandros Kapravelos
|
Benjamin Livshits
DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders
Benjamin Weggenmann
|
Valentin Rublack
|
Michael Andrejczuk
|
Justus Mattern
|
Florian Kerschbaum
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning
Xue Yang
|
Yan Feng
|
Weijun Fang
|
Jun Shao
|
Xiaohu Tang
|
Shu-Tao Xia
|
Rongxing Lu
Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning
Soyoung Lee
|
Seongil Wi
|
Sooel Son
HiddenCPG: Large-Scale Vulnerable Clone Detection Using Subgraph Isomorphism of Code Property Graphs
Seongil Wi
|
Sijae Woo
|
Joyce Jiyoung Whang
|
Sooel Son
Understanding the Practice of Security Patch Management across Multiple Branches in OSS Projects
Xin Tan
|
Yuan Zhang
|
Jiajun Cao
|
Kun Sun
|
Mi Zhang
|
Min Yang
Ontology-enhanced Prompt-tuning for Few-shot Learning
Hongbin Ye
|
Ningyu Zhang
|
Shumin Deng
|
Xiang Chen
|
Hui Chen
|
Feiyu Xiong
|
Xi Chen
|
Huajun Chen
Time-aware Entity Alignment using Temporal Relational Attention
Chengjin Xu
|
Fenglong Su
|
Bo Xiong
|
Jens Lehmann
Rethinking Graph Convolutional Networks in Knowledge Graph Completion
Zhanqiu Zhang
|
Jie Wang
|
Jieping Ye
|
Feng Wu
Creating Signature-Based Views for Description Logic Ontologies with Transitivity and Qualified Number Restrictions
Yue Xiang
|
Xuan Wu
|
Chang Lu
|
Yizheng Zhao
EvoLearner: Learning Description Logics with Evolutionary Algorithms
Stefan Heindorf
|
Lukas Blübaum
|
Nick Düsterhus
|
Till Werner
|
Varun Nandkumar Golani
|
Caglar Demir
|
Axel-Cyrille Ngonga Ngomo
Uncertainty-aware Pseudo Label Refinery for Entity Alignment
Jia Li
|
Dandan Song
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings
Kai Wang
|
Yu Liu
|
Quan Z. Sheng
EventBERT: A Pre-Trained Model for Event Correlation Reasoning
Yucheng Zhou
|
Xiubo Geng
|
Tao Shen
|
Guodong Long
|
Daxin Jiang
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
Xiao Liu
|
Haoyun Hong
|
Xinghao Wang
|
Zeyi Chen
|
Evgeny Kharlamov
|
Yuxiao Dong
|
Jie Tang
Unified Question Generation with Continual Lifelong Learning
Wei Yuan
|
Hongzhi Yin
|
Tieke He
|
Tong Chen
|
Qiufeng Wang
|
Lizhen Cui
What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition
Shahin Sharifi Noorian
|
Sihang Qiu
|
Ujwal Gadiraju
|
Jie Yang
|
Alessandro Bozzon
Enhancing Knowledge Bases with Quantity Facts
Vinh Thinh Ho
|
Daria Stepanova
|
Dragan Milchevski
|
Jannik Strötgen
|
Gerhard Weikum
Translating Place-Related Questions to GeoSPARQL Queries
Ehsan Hamzei
|
Martin Tomko
|
Stephan Winter
Knowledge Graph Reasoning with Relational Digraph
Yongqi Zhang
|
Quanming Yao
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations
Minhao Jiang
|
Xiangchen Song
|
Jieyu Zhang
|
Jiawei Han
Conditional Generation Net for Medication Recommendation
Rui Wu
|
Zhaopeng Qiu
|
Jiacheng Jiang
|
Guilin Qi
|
Xian Wu
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation
Shijie Geng
|
Zuohui Fu
|
Juntao Tan
|
Yingqiang Ge
|
Gerard de Melo
|
Yongfeng Zhang
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
Jiacheng Huang
|
Yao Zhao
|
Wei Hu
|
Zhen Ning
|
Qijin Chen
|
Xiaoxia Qiu
|
Chengfu Huo
|
Weijun Ren
What's in an Index: Extracting Domain-specific Knowledge Graphs from Textbooks
Isaac Alpizar Chacon
|
Sergey A. Sosnovsky
Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?
Aleksandr Perevalov
|
Andreas Both
|
Dennis Diefenbach
|
Axel-Cyrille Ngonga Ngomo
AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations
Sk Mainul Islam
|
Sourangshu Bhattacharya
Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models
Weiqi Sun
|
Haidar Khan
|
Nicolas Guenon des Mesnards
|
Melanie Rubino
|
Konstantine Arkoudas
QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations
Suyuchen Wang
|
Ruihui Zhao
|
Yefeng Zheng
|
Bang Liu
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
Juntao Tan
|
Shijie Geng
|
Zuohui Fu
|
Yingqiang Ge
|
Shuyuan Xu
|
Yunqi Li
|
Yongfeng Zhang
Exploring Edge Disentanglement for Node Classification
Tianxiang Zhao
|
Xiang Zhang
|
Suhang Wang
Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus
Vinh Nguyen
|
Hong Yung Yip
|
Goonmeet Bajaj
|
Thilini Wijesiriwardene
|
Vishesh Javangula
|
Srinivasan Parthasarathy
|
Amit P. Sheth
|
Olivier Bodenreider
Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments
Lars Heling
|
Maribel Acosta
An Invertible Graph Diffusion Neural Network for Source Localization
Junxiang Wang
|
Junji Jiang
|
Liang Zhao
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
Jun Xia
|
Lirong Wu
|
Jintao Chen
|
Bozhen Hu
|
Stan Z. Li
MiDaS: Representative Sampling from Real-world Hypergraphs
Minyoung Choe
|
Jaemin Yoo
|
Geon Lee
|
Woonsung Baek
|
U Kang
|
Kijung Shin
A New Dynamic Algorithm for Densest Subhypergraphs
Suman K. Bera
|
Sayan Bhattacharya
|
Jayesh Choudhari
|
Prantar Ghosh
Graph Alignment with Noisy Supervision
Shichao Pei
|
Lu Yu
|
Guoxian Yu
|
Xiangliang Zhang
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking
Namyong Park
|
Ryan A. Rossi
|
Eunyee Koh
|
Iftikhar Ahamath Burhanuddin
|
Sungchul Kim
|
Fan Du
|
Nesreen K. Ahmed
|
Christos Faloutsos
Graph Neural Networks Beyond Compromise Between Attribute and Topology
Liang Yang
|
Wenmiao Zhou
|
Weihang Peng
|
Bingxin Niu
|
Junhua Gu
|
Chuan Wang
|
Xiaochun Cao
|
Dongxiao He
Graph Sanitation with Application to Node Classification
Zhe Xu
|
Boxin Du
|
Hanghang Tong
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media
Erxue Min
|
Yu Rong
|
Yatao Bian
|
Tingyang Xu
|
Peilin Zhao
|
Junzhou Huang
|
Sophia Ananiadou
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning
Zhihao Wen
|
Yuan Fang
Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling
Mingkai Lin
|
Wenzhong Li
|
Ding Li
|
Yizhou Chen
|
Sanglu Lu
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation
Weiming Liu
|
Xiaolin Zheng
|
Mengling Hu
|
Chaochao Chen
Lightning Fast and Space Efficient k-clique Counting
Xiaowei Ye
|
Rong-Hua Li
|
Qiangqiang Dai
|
Hongzhi Chen
|
Guoren Wang
Graph Communal Contrastive Learning
Bolian Li
|
Baoyu Jing
|
Hanghang Tong
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
Jian Kang
|
Yan Zhu
|
Yinglong Xia
|
Jiebo Luo
|
Hanghang Tong
Geometric Graph Representation Learning via Maximizing Rate Reduction
Xiaotian Han
|
Zhimeng Jiang
|
Ninghao Liu
|
Qingquan Song
|
Jundong Li
|
Xia Hu
Dual Space Graph Contrastive Learning
Haoran Yang
|
Hongxu Chen
|
Shirui Pan
|
Lin Li
|
Philip S. Yu
|
Guandong Xu
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Hongrui Liu
|
Binbin Hu
|
Xiao Wang
|
Chuan Shi
|
Zhiqiang Zhang
|
Jun Zhou
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong
|
Ninghao Liu
|
Brian Jalaian
|
Jundong Li
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily
Xiaojun Ma
|
Qin Chen
|
Yuanyi Ren
|
Guojie Song
|
Liang Wang
Model-Agnostic Augmentation for Accurate Graph Classification
Jaemin Yoo
|
Sooyeon Shim
|
U Kang
Multimodal Continual Graph Learning with Neural Architecture Search
Jie Cai
|
Xin Wang
|
Chaoyu Guan
|
Yateng Tang
|
Jin Xu
|
Bin Zhong
|
Wenwu Zhu
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios
Yiqing Xie
|
Zhen Wang
|
Carl Yang
|
Yaliang Li
|
Bolin Ding
|
Hongbo Deng
|
Jiawei Han
AUC-oriented Graph Neural Network for Fraud Detection
Mengda Huang
|
Yang Liu
|
Xiang Ao
|
Kuan Li
|
Jianfeng Chi
|
Jinghua Feng
|
Hao Yang
|
Qing He
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Sixiao Zhang
|
Hongxu Chen
|
Xiangguo Sun
|
Yicong Li
|
Guandong Xu
Graph-adaptive Rectified Linear Unit for Graph Neural Networks
Yifei Zhang
|
Hao Zhu
|
Ziqiao Meng
|
Piotr Koniusz
|
Irwin King
Neural Predicting Higher-order Patterns in Temporal Networks
Yunyu Liu
|
Jianzhu Ma
|
Pan Li
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction
Yanfu Zhang
|
Hongchang Gao
|
Jian Pei
|
Heng Huang
Adversarial Graph Contrastive Learning with Information Regularization
Shengyu Feng
|
Baoyu Jing
|
Yada Zhu
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Hanghang Tong
A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation
Zhen Wang
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Dongpeng Hou
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Chao Gao
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Jiajin Huang
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Qi Xuan
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
Lanning Wei
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Huan Zhao
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Zhiqiang He
Towards Unsupervised Deep Graph Structure Learning
Yixin Liu
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Yu Zheng
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Daokun Zhang
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Hongxu Chen
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Hao Peng
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Shirui Pan
Polarized Graph Neural Networks
Zheng Fang
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Lingjun Xu
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Guojie Song
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Qingqing Long
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Yingxue Zhang
Fair k-Center Clustering in MapReduce and Streaming Settings
Suman K. Bera
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Syamantak Das
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Sainyam Galhotra
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Sagar Sudhir Kale
Unbiased Graph Embedding with Biased Graph Observations
Nan Wang
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Lu Lin
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Jundong Li
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Hongning Wang
Prohibited Item Detection via Risk Graph Structure Learning
Yugang Ji
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Guanyi Chu
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Xiao Wang
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Chuan Shi
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Jianan Zhao
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Junping Du
FreSCo: Mining Frequent Patterns in Simplicial Complexes
Giulia Preti
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Gianmarco De Francisci Morales
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Francesco Bonchi
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation
Chaochao Chen
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Huiwen Wu
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Jiajie Su
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Lingjuan Lyu
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Xiaolin Zheng
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Li Wang
Inflation Improves Graph Neural Networks
Dongxiao He
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Rui Guo
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Xiaobao Wang
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Di Jin
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Yuxiao Huang
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Wenjun Wang
Generating Simple Directed Social Network Graphs for Information Spreading
Christoph Schweimer
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Christine Gfrerer
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Florian Lugstein
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David Pape
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Jan A. Velimsky
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Robert Elsässer
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Bernhard C. Geiger
H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections
Fengzhao Shi
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Yanan Cao
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Yanmin Shang
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Yuchen Zhou
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Chuan Zhou
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Jia Wu
SATMargin: Practical Maximal Frequent Subgraph Mining via Margin Space Sampling
Muyi Liu
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Pan Li
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks
Zemin Liu
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Qiheng Mao
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Chenghao Liu
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Yuan Fang
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Jianling Sun
Listing Maximal k-Plexes in Large Real-World Graphs
Zhengren Wang
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Yi Zhou
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Mingyu Xiao
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Bakhadyr Khoussainov
Curvature Graph Generative Adversarial Networks
Jianxin Li
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Xingcheng Fu
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Qingyun Sun
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Cheng Ji
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Jiajun Tan
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Jia Wu
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Hao Peng
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices
Puja Trivedi
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Ekdeep Singh Lubana
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Yujun Yan
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Yaoqing Yang
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Danai Koutra
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily
Lun Du
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Xiaozhou Shi
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Qiang Fu
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Xiaojun Ma
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Hengyu Liu
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Shi Han
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Dongmei Zhang
Learning the Markov Order of Paths in Graphs
Luka V. Petrovic
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Ingo Scholtes
A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks
Sijing Tu
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Stefan Neumann
ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks
Diego Santoro
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Ilie Sarpe
FirmCore Decomposition of Multilayer Networks
Farnoosh Hashemi
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Ali Behrouz
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Laks V. S. Lakshmanan
Compact Graph Structure Learning via Mutual Information Compression
Nian Liu
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Xiao Wang
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Lingfei Wu
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Yu Chen
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Xiaojie Guo
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Chuan Shi
ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs
Yanling Wang
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Jing Zhang
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Haoyang Li
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Yuxiao Dong
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Hongzhi Yin
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Cuiping Li
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Hong Chen
Graph Neural Network for Higher-Order Dependency Networks
Di Jin
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Yingli Gong
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Zhiqiang Wang
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Zhizhi Yu
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Dongxiao He
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Yuxiao Huang
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Wenjun Wang
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
Can Wang
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Sheng Zhou
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Kang Yu
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Defang Chen
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Bolang Li
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Yan Feng
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Chun Chen
Temporal Walk Centrality: Ranking Nodes in Evolving Networks
Lutz Oettershagen
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Petra Mutzel
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Nils M. Kriege
Dual-branch Density Ratio Estimation for Signed Network Embedding
Pinghua Xu
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Yibing Zhan
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Liu Liu
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Baosheng Yu
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Bo Du
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Jia Wu
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Wenbin Hu
Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling
Lingzhi Wang
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Jing Li
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Xingshan Zeng
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Kam-Fai Wong
This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign
Abraham Israeli
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Alexander Kremiansky
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Oren Tsur
The Influences of Task Design on Crowdsourced Judgement: A Case Study of Recidivism Risk Evaluation
Xiaoni Duan
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Chien-Ju Ho
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Ming Yin
Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making
Xinru Wang
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Zhuoran Lu
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Ming Yin
Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game
Agathe Balayn
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Gaole He
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Andrea Hu
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Jie Yang
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Ujwal Gadiraju
Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks
Alexander Braylan
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Omar Alonso
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Matthew Lease
Capturing Diverse and Precise Reactions to a Comment with User-Generated Labels
Eun-Young Ko
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Eunseo Choi
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Jeong-woo Jang
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Juho Kim
Accelerating Serverless Computing by Harvesting Idle Resources
Hanfei Yu
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Hao Wang
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Jian Li
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Xu Yuan
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Seung-Jong Park
QCluster: Clustering Packets for Flow Scheduling
Tong Yang
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Jizhou Li
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Yikai Zhao
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Kaicheng Yang
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Hao Wang
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Jie Jiang
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Yinda Zhang
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Nicholas Zhang
Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training
Ting Liu
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Tianhao Miao
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Qinghua Wu
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Zhenyu Li
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Guangxin He
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Jiaoren Wu
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Shengzhuo Zhang
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Xingwu Yang
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Gareth Tyson
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Gaogang Xie
Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing
Liekang Zeng
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Peng Huang
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Ke Luo
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Xiaoxi Zhang
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Zhi Zhou
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Xu Chen
Robust System Instance Clustering for Large-Scale Web Services
Shenglin Zhang
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Dongwen Li
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Zhenyu Zhong
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Jun Zhu
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Minghan Liang
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Jiexi Luo
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Yongqian Sun
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Ya Su
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Sibo Xia
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Zhongyou Hu
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Yuzhi Zhang
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Dan Pei
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Jiyan Sun
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Yinlong Liu
A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems
Tao Huang
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Pengfei Chen
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Ruipeng Li
DREW: Efficient Winograd CNN Inference with Deep Reuse
Ruofan Wu
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Feng Zhang
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Jiawei Guan
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Zhen Zheng
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Xiaoyong Du
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Xipeng Shen
PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm
Wentao Zhang
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Yu Shen
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Zheyu Lin
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Yang Li
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Xiaosen Li
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Wen Ouyang
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Yangyu Tao
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Zhi Yang
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Bin Cui
TRACE: A Fast Transformer-based General-Purpose Lossless Compressor
Yu Mao
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Yufei Cui
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Tei-Wei Kuo
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Chun Jason Xue
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding
Haoyu Wang
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Handong Zhao
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Yaqing Wang
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Tong Yu
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Jiuxiang Gu
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Jing Gao
Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training
Yun-Yong Ko
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Dongwon Lee
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Sang-Wook Kim
Pyramid: Enabling Hierarchical Neural Networks with Edge Computing
Qiang He
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Zeqian Dong
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Feifei Chen
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Shuiguang Deng
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Weifa Liang
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Yun Yang
A Sampling-based Learning Framework for Big Databases
Jingtian Zhang
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Sai Wu
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Junbo Zhao
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Zhongle Xie
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Feifei Li
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Yusong Gao
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Gang Chen
The Case of SPARQL UNION, FILTER and DISTINCT
Medha Atre
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu
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Xu Zhang
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Shilin He
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Hongyu Zhang
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Liqun Li
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Yu Kang
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Yong Xu
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Minghua Ma
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Qingwei Lin
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Yingnong Dang
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Saravan Rajmohan
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Dongmei Zhang
Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction
Le Yu
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Guanghui Wu
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Leilei Sun
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Bowen Du
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Weifeng Lv
Hypercomplex Graph Collaborative Filtering
Anchen Li
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Bo Yang
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Huan Huo
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Farookh Khadeer Hussain
Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation
Mingyue Cheng
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Zhiding Liu
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Qi Liu
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Shenyang Ge
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Enhong Chen
Outlier Detection for Streaming Task Assignment in Crowdsourcing
Yan Zhao
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Xuanhao Chen
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Liwei Deng
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Tung Kieu
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Chenjuan Guo
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Bin Yang
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Kai Zheng
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Christian S. Jensen
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
Jin Chen
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Defu Lian
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Binbin Jin
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Xu Huang
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Kai Zheng
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Enhong Chen
Graph Neural Transport Networks with Non-local Attentions for Recommender Systems
Huiyuan Chen
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Chin-Chia Michael Yeh
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Fei Wang
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Hao Yang
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
Seongku Kang
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Dongha Lee
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Wonbin Kweon
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Junyoung Hwang
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Hwanjo Yu
AutoField: Automating Feature Selection in Deep Recommender Systems
Yejing Wang
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Xiangyu Zhao
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Tong Xu
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Xian Wu
OffDQ: An Offline Deep Learning Framework for QoS Prediction
Soumi Chattopadhyay
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Richik Chanda
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Suraj Kumar
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Chandranath Adak
Learning Recommenders for Implicit Feedback with Importance Resampling
Jin Chen
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Defu Lian
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Binbin Jin
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Kai Zheng
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Enhong Chen
Similarity-based Multi-Domain Dialogue State Tracking with Copy Mechanisms for Task-based Virtual Personal Assistants
Jarana Manotumruksa
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Jeffrey Dalton
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Edgar Meij
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Emine Yilmaz
Learning Robust Recommenders through Cross-Model Agreement
Yu Wang
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Xin Xin
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Zaiqiao Meng
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Joemon M. Jose
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Fuli Feng
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Xiangnan He
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge
Eustache Diemert
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Romain Fabre
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Alexandre Gilotte
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Fei Jia
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Basile Leparmentier
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Jérémie Mary
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Zhonghua Qu
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Ugo Tanielian
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Hui Yang
Sequential Recommendation via Stochastic Self-Attention
Ziwei Fan
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Zhiwei Liu
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Yu Wang
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Alice Wang
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Zahra Nazari
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Lei Zheng
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Hao Peng
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Philip S. Yu
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations
Haochen Liu
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Da Tang
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Ji Yang
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Xiangyu Zhao
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Hui Liu
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Jiliang Tang
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Youlong Cheng
Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation
Teng-Yue Han
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Pengfei Wang
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Shaozhang Niu
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Chenliang Li
MINDSim: User Simulator for News Recommenders
Xufang Luo
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Zheng Liu
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Shitao Xiao
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Xing Xie
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Dongsheng Li
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation
Zixuan Xu
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Penghui Wei
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Weimin Zhang
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Shaoguo Liu
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Liang Wang
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Bo Zheng
FeedRec: News Feed Recommendation with Various User Feedbacks
Chuhan Wu
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Fangzhao Wu
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Tao Qi
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Qi Liu
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Xuan Tian
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Jie Li
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Wei He
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Yongfeng Huang
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Xing Xie
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning
Xiting Wang
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Kunpeng Liu
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Dongjie Wang
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Le Wu
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Yanjie Fu
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Xing Xie
Dynamic Gaussian Embedding of Authors
Antoine Gourru
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Julien Velcin
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Christophe Gravier
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Julien Jacques
GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction
Chunyu Wei
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Bing Bai
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Kun Bai
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Fei Wang
Towards a Multi-View Attentive Matching for Personalized Expert Finding
Qiyao Peng
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Hongtao Liu
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Yinghui Wang
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Hongyan Xu
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Pengfei Jiao
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Minglai Shao
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Wenjun Wang
Deep Unified Representation for Heterogeneous Recommendation
Chengqiang Lu
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Mingyang Yin
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Shuheng Shen
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Luo Ji
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Qi Liu
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Hongxia Yang
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation
Yiming Zhang
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Lingfei Wu
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Qi Shen
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Yitong Pang
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Zhihua Wei
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Fangli Xu
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Bo Long
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Jian Pei
Graph-based Extractive Explainer for Recommendations
Peng Wang
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Renqin Cai
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Hongning Wang
Intent Contrastive Learning for Sequential Recommendation
Yongjun Chen
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Zhiwei Liu
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Jia Li
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Julian J. McAuley
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Caiming Xiong
Learning to Augment for Casual User Recommendation
Jianling Wang
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Ya Le
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Bo Chang
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Yuyan Wang
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Ed H. Chi
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Minmin Chen
Unbiased Sequential Recommendation with Latent Confounders
Zhenlei Wang
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Shiqi Shen
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Zhipeng Wang
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Bo Chen
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Xu Chen
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Ji-Rong Wen
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks
Yun He
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Xue Feng
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Cheng Cheng
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Geng Ji
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Yunsong Guo
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James Caverlee
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation
Shengyu Zhang
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Lingxiao Yang
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Dong Yao
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Yujie Lu
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Fuli Feng
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Zhou Zhao
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Tat-Seng Chua
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Fei Wu
Generative Session-based Recommendation
Zhidan Wang
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Wenwen Ye
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Xu Chen
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Wenqiang Zhang
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Zhenlei Wang
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Lixin Zou
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Weidong Liu
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
Siguang Huang
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Yunli Wang
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Lili Mou
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Huayue Zhang
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Han Zhu
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Chuan Yu
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Bo Zheng
Adaptive Experimentation with Delayed Binary Feedback
Zenan Wang
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Carlos Carrion
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Xiliang Lin
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Fuhua Ji
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Yongjun Bao
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Weipeng Yan
Disentangling Long and Short-Term Interests for Recommendation
Yu Zheng
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Chen Gao
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Jianxin Chang
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Yanan Niu
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Yang Song
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Depeng Jin
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Yong Li
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction10033
Zhi Zheng
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Zhaopeng Qiu
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Tong Xu
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Xian Wu
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Xiangyu Zhao
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Enhong Chen
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Hui Xiong
Meta-Learning Helps Personalized Product Search
Bin Wu
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Zaiqiao Meng
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Qiang Zhang
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Shangsong Liang
Sequential Recommendation with Decomposed Item Feature Routing
Kun Lin
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Zhenlei Wang
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Shiqi Shen
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Zhipeng Wang
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Bo Chen
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Xu Chen
An Empirical Investigation of Personalization Factors on TikTok
Maximilian Boeker
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Aleksandra Urman
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm
Meng Ai
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Biao Li
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Heyang Gong
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Qingwei Yu
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Shengjie Xue
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Yuan Zhang
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Yunzhou Zhang
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Peng Jiang
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
Zihan Lin
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Changxin Tian
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Yupeng Hou
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Wayne Xin Zhao
Contrastive Learning for Knowledge Tracing
Wonsung Lee
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Jaeyoon Chun
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Youngmin Lee
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Kyoungsoo Park
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Sungrae Park
MCL: Mixed-Centric Loss for Collaborative Filtering
Zhaolin Gao
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Zhaoyue Cheng
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Felipe Pérez
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Jianing Sun
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Maksims Volkovs
Off-policy Learning over Heterogeneous Information for Recommendation
Xiangmeng Wang
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Qian Li
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Dianer Yu
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Guandong Xu
FIRE: Fast Incremental Recommendation with Graph Signal Processing
Jiafeng Xia
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Dongsheng Li
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Hansu Gu
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Jiahao Liu
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Tun Lu
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Ning Gu
Cross Pairwise Ranking for Unbiased Item Recommendation
Qi Wan
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Xiangnan He
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Xiang Wang
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Jiancan Wu
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Wei Guo
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Ruiming Tang
Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems
Yaochen Zhu
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Zhenzhong Chen
Filter-enhanced MLP is All You Need for Sequential Recommendation
Kun Zhou
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Hui Yu
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Wayne Xin Zhao
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Ji-Rong Wen
QLUE: A Computer Vision Tool for Uniform Qualitative Evaluation of Web Pages
Waleed Hashmi
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Moumena Chaqfeh
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Lakshminarayanan Subramanian
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Yasir Zaki
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors
Christina Göpfert
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Yinlam Chow
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Chih-Wei Hsu
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Ivan Vendrov
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Tyler Lu
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Deepak Ramachandran
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Craig Boutilier
Distributional Contrastive Embedding for Clarification-based Conversational Critiquing
Tianshu Shen
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Zheda Mai
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Ga Wu
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Scott Sanner
Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations
Zahra Nazari
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Praveen Chandar
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Ghazal Fazelnia
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Catherine M. Edwards
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Benjamin A. Carterette
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Mounia Lalmas
Efficient Online Learning to Rank for Sequential Music Recommendation
Pedro Dalla Vecchia Chaves
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Bruno L. Pereira
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Rodrygo L. T. Santos
Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data
Jiarui Jin
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Xianyu Chen
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Weinan Zhang
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Junjie Huang
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Ziming Feng
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Yong Yu
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization
Menglin Yang
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Min Zhou
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Jiahong Liu
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Defu Lian
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Irwin King
Prototype Feature Extraction for Multi-task Learning
Shen Xin
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Yuhang Jiao
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Cheng Long
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Yuguang Wang
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Xiaowei Wang
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Sen Yang
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Ji Liu
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Jie Zhang
Stochastic-Expert Variational Autoencoder for Collaborative Filtering
Yoon-Sik Cho
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Min-hwan Oh
Left or Right: A Peek into the Political Biases in Email Spam Filtering Algorithms During US Election 2020
Hassan Iqbal
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Usman Mahmood Khan
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Hassan Ali Khan
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Muhammad Shahzad
Evidence-aware Fake News Detection with Graph Neural Networks
Weizhi Xu
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Junfei Wu
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Qiang Liu
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Shu Wu
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Liang Wang
BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis
Weijie He
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Xiaohao Mao
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Chao Ma
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Yu Huang
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José Miguel Hernández-Lobato
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Ting Chen
Leveraging Google's Publisher-Specific IDs to Detect Website Administration
Emmanouil Papadogiannakis
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Panagiotis Papadopoulos
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Evangelos P. Markatos
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Nicolas Kourtellis
Second-level Digital Divide: A Longitudinal Study of Mobile Traffic Consumption Imbalance in France
Sachit Mishra
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Zbigniew Smoreda
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Marco Fiore
The Impact of Twitter Labels on Misinformation Spread and User Engagement: Lessons from Trump's Election Tweets
Orestis Papakyriakopoulos
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Ellen Goodmann
PopNet: Real-Time Population-Level Disease Prediction with Data Latency
Junyi Gao
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Cao Xiao
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Lucas M. Glass
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Jimeng Sun
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification
Usman Naseem
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Adam G. Dunn
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Jinman Kim
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Matloob Khushi
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification
Usman Naseem
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Jinman Kim
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Matloob Khushi
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Adam G. Dunn
Jettisoning Junk Messaging in the Era of End-to-End Encryption: A Case Study of WhatsApp
Pushkal Agarwal
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Aravindh Raman
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Damilola Ibosiola
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Nishanth Sastry
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Gareth Tyson
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Kiran Garimella
Understanding Conflicts in Online Conversations
Sharon Levy
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Robert E. Kraut
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Jane A. Yu
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Kristen M. Altenburger
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Yi-Chia Wang
Emotion Bubbles: Emotional Composition of Online Discourse Before and After the COVID-19 Outbreak
Assem Zhunis
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Gabriel Lima
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Hyeonho Song
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Jiyoung Han
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Meeyoung Cha
Characterizing, Detecting, and Predicting Online Ban Evasion
Manoj Niverthi
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Gaurav Verma
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Srijan Kumar
Controlled Analyses of Social Biases in Wikipedia Bios
Anjalie Field
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Chan Young Park
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Kevin Z. Lin
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Yulia Tsvetkov
EvidenceNet: Evidence Fusion Network for Fact Verification
Zhendong Chen
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Siu Cheung Hui
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Fuzhen Zhuang
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Lejian Liao
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Fei Li
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Meihuizi Jia
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Jiaqi Li
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction
Gourab K. Patro
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Prithwish Jana
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Abhijnan Chakraborty
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Krishna P. Gummadi
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Niloy Ganguly
Context-based Collective Preference Aggregation for Prioritizing Crowd Opinions in Social Decision-making
Jiyi Li
How Misinformation Density Affects Health Information Search
Qiurong Song
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Jiepu Jiang
Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
Jing Ma
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Yushun Dong
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Zheng Huang
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Daniel Mietchen
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Jundong Li
What Does Perception Bias on Social Networks Tell Us About Friend Count Satisfaction?
Shen Yan
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Kristen M. Altenburger
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Yi-Chia Wang
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Justin Cheng
How Do Mothers and Fathers Talk About Parenting to Different Audiences?: Stereotypes and Audience Effects: An Analysis of r/Daddit, r/Mommit, and r/Parenting Using Topic Modelling
Melody Sepahpour-Fard
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Michael Quayle
Conspiracy Brokers: Understanding the Monetization of YouTube Conspiracy Theories
Cameron Ballard
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Ian Goldstein
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Pulak Mehta
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Genesis Smothers
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Kejsi Take
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Victoria Zhong
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Rachel Greenstadt
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Tobias Lauinger
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Damon McCoy
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways
Francesco Fabbri
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Yanhao Wang
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Francesco Bonchi
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Carlos Castillo
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Michael Mathioudakis
GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates
Vibhor Agarwal
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Sagar Joglekar
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Anthony P. Young
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Nishanth Sastry
Zero-Shot Stance Detection via Contrastive Learning
Bin Liang
|
Zixiao Chen
|
Lin Gui
|
Yulan He
|
Min Yang
|
Ruifeng Xu
Is Least-Squares Inaccurate in Fitting Power-Law Distributions? The Criticism is Complete Nonsense
Xiaoshi Zhong
|
Muyin Wang
|
Hongkun Zhang
Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering
Meng Li
|
Deyi Chen
|
Haipeng Dai
|
Rongbiao Xie
|
Siqiang Luo
|
Rong Gu
|
Tong Yang
|
Guihai Chen
Recommendation Unlearning
Chong Chen
|
Fei Sun
|
Min Zhang
|
Bolin Ding
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen
|
Ningyu Zhang
|
Xin Xie
|
Shumin Deng
|
Yunzhi Yao
|
Chuanqi Tan
|
Fei Huang
|
Luo Si
|
Huajun Chen
Rumor Detection on Social Media with Graph Adversarial Contrastive Learning
Tiening Sun
|
Zhong Qian
|
Sujun Dong
|
Peifeng Li
|
Qiaoming Zhu
Detecting False Rumors from Retweet Dynamics on Social Media
Christof Naumzik
|
Stefan Feuerriegel
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks
Fayokemi Ojo
|
Ryan A. Rossi
|
Jane Hoffswell
|
Shunan Guo
|
Fan Du
|
Sungchul Kim
|
Chang Xiao
|
Eunyee Koh
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
Dongha Lee
|
Jiaming Shen
|
Seongku Kang
|
Susik Yoon
|
Jiawei Han
|
Hwanjo Yu
Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network
Ye Tao
|
Ying Li
|
Su Zhang
|
Zhirong Hou
|
Zhonghai Wu
Genre-Controllable Story Generation via Supervised Contrastive Learning
Jin-Uk Cho
|
Min-Su Jeong
|
JinYeong Bak
|
Yun-Gyung Cheong
Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack Detection
Maryam Sadat Mirzaei
|
Kourosh Meshgi
|
Satoshi Sekine
Modeling Inter Round Attack of Online Debaters for Winner Prediction
Fa-Hsuan Hsiao
|
An-Zi Yen
|
Hen-Hsen Huang
|
Hsin-Hsi Chen
A Guided Topic-Noise Model for Short Texts
Robert Churchill
|
Lisa Singh
|
Rebecca Ryan
|
Pamela Davis-Kean
Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction
Shisong Tang
|
Qing Li
|
Xiaoteng Ma
|
Ci Gao
|
Dingmin Wang
|
Yong Jiang
|
Qian Ma
|
Aoyang Zhang
|
Hechang Chen
"I Have No Text in My Post": Using Visual Hints to Model User Emotions in Social Media
Junho Song
|
Kyungsik Han
|
Sang-Wook Kim
Cross-modal Ambiguity Learning for Multimodal Fake News Detection
Yixuan Chen
|
Dongsheng Li
|
Peng Zhang
|
Jie Sui
|
Qin Lv
|
Tun Lu
|
Li Shang
Contrastive Learning with Positive-Negative Frame Mask for Music Representation
Dong Yao
|
Zhou Zhao
|
Shengyu Zhang
|
Jieming Zhu
|
Yudong Zhu
|
Rui Zhang
|
Xiuqiang He
CycleNER: An Unsupervised Training Approach for Named Entity Recognition
Andrea Iovine
|
Anjie Fang
|
Besnik Fetahu
|
Oleg Rokhlenko
|
Shervin Malmasi
A Meta-learning based Stress Category Detection Framework on Social Media
Xin Wang
|
Lei Cao
|
Huijun Zhang
|
Ling Feng
|
Yang Ding
|
Ningyun Li
Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing
Emanuele Bugliarello
|
Rishabh Mehrotra
|
James Kirk
|
Mounia Lalmas
Massive Text Normalization via an Efficient Randomized Algorithm
Nan Jiang
|
Chen Luo
|
Vihan Lakshman
|
Yesh Dattatreya
|
Yexiang Xue
Effective Messaging on Social Media: What Makes Online Content Go Viral?
Maryam Mousavi
|
Hasan Davulcu
|
Mohsen Ahmadi
|
Robert Axelrod
|
Richard Davis
|
Scott Atran
Using Web Data to Reveal 22-Year History of Sneaker Designs
Sungkyu Park
|
Hyeonho Song
|
Sungwon Han
|
Berhane Weldegebriel
|
Lev Manovich
|
Emanuele Arielli
|
Meeyoung Cha
AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions
Quoc-Tuan Truong
|
Tong Zhao
|
Changhe Yuan
|
Jin Li
|
Jim Chan
|
Soo-Min Pantel
|
Hady W. Lauw
DUET: A Generic Framework for Finding Special Quadratic Elements in Data Streams
Jiaqian Liu
|
Haipeng Dai
|
Rui Xia
|
Meng Li
|
Ran Ben Basat
|
Rui Li
|
Guihai Chen
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems
Yang Deng
|
Wenxuan Zhang
|
Wai Lam
|
Hong Cheng
|
Helen Meng
Can Small Heads Help? Understanding and Improving Multi-Task Generalization
Yuyan Wang
|
Zhe Zhao
|
Bo Dai
|
Christopher Fifty
|
Dong Lin
|
Lichan Hong
|
Li Wei
|
Ed H. Chi
Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval
Jinpeng Wang
|
Bin Chen
|
Dongliang Liao
|
Ziyun Zeng
|
Gongfu Li
|
Shu-Tao Xia
|
Jin Xu
Explainable Neural Rule Learning
Shaoyun Shi
|
Yuexiang Xie
|
Zhen Wang
|
Bolin Ding
|
Yaliang Li
|
Min Zhang
Making Decision like Human: Joint Aspect Category Sentiment Analysis and Rating Prediction with Fine-to-Coarse Reasoning
Hao Fei
|
Jingye Li
|
Yafeng Ren
|
Meishan Zhang
|
Donghong Ji
Significance and Coverage in Group Testing on the Social Web
Nassim Bouarour
|
Idir Benouaret
|
Sihem Amer-Yahia
Geospatial Entity Resolution
Pasquale Balsebre
|
Dezhong Yao
|
Gao Cong
|
Zhen Hai
A Deep Markov Model for Clickstream Analytics in Online Shopping
Yilmazcan Özyurt
|
Tobias Hatt
|
Ce Zhang
|
Stefan Feuerriegel
DiriE: Knowledge Graph Embedding with Dirichlet Distribution
Feiyang Wang
|
Zhongbao Zhang
|
Li Sun
|
Junda Ye
|
Yang Yan
Accurate and Explainable Recommendation via Review Rationalization
Sicheng Pan
|
Dongsheng Li
|
Hansu Gu
|
Tun Lu
|
Xufang Luo
|
Ning Gu
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting
Sheo Yon Jhin
|
Jaehoon Lee
|
Minju Jo
|
Seungji Kook
|
Jinsung Jeon
|
Jihyeon Hyeong
|
Jayoung Kim
|
Noseong Park
Comparative Explanations of Recommendations
Aobo Yang
|
Nan Wang
|
Renqin Cai
|
Hongbo Deng
|
Hongning Wang
WebFormer: The Web-page Transformer for Structure Information Extraction
Qifan Wang
|
Yi Fang
|
Anirudh Ravula
|
Fuli Feng
|
Xiaojun Quan
|
Dongfang Liu
Topological Transduction for Hybrid Few-shot Learning
Jiayi Chen
|
Aidong Zhang
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
Yu Meng
|
Yunyi Zhang
|
Jiaxin Huang
|
Yu Zhang
|
Jiawei Han
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
Xinyang Zhang
|
Chenwei Zhang
|
Xian Li
|
Xin Luna Dong
|
Jingbo Shang
|
Christos Faloutsos
|
Jiawei Han
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification
Yu Zhang
|
Zhihong Shen
|
Chieh-Han Wu
|
Boya Xie
|
Junheng Hao
|
Ye-Yi Wang
|
Kuansan Wang
|
Jiawei Han
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
Harshavardhan Kamarthi
|
Lingkai Kong
|
Alexander Rodríguez
|
Chao Zhang
|
B. Aditya Prakash
Using Survival Models to Estimate User Engagement in Online Experiments
Praveen Chandar
|
Brian St. Thomas
|
Lucas Maystre
|
Vijay Pappu
|
Roberto Sanchis-Ojeda
|
Tiffany Wu
|
Ben Carterette
|
Mounia Lalmas
|
Tony Jebara
Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse
Maxwell A. Weinzierl
|
Sanda M. Harabagiu
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation
Jiarui Jin
|
Xianyu Chen
|
Yuanbo Chen
|
Weinan Zhang
|
Renting Rui
|
Zaifan Jiang
|
Zhewen Su
|
Yong Yu
STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation
Zhen Yang
|
Ming Ding
|
Bin Xu
|
Hongxia Yang
|
Jie Tang
Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation
Wei Zhang
|
Junbing Yan
|
Zhuo Wang
|
Jianyong Wang
A Contrastive Sharing Model for Multi-Task Recommendation
Ting Bai
|
Yudong Xiao
|
Bin Wu
|
Guojun Yang
|
Hongyong Yu
|
Jian-Yun Nie
GRAND+: Scalable Graph Random Neural Networks
Wenzheng Feng
|
Yuxiao Dong
|
Tinglin Huang
|
Ziqi Yin
|
Xu Cheng
|
Evgeny Kharlamov
|
Jie Tang
Interpreting BERT-based Text Similarity via Activation and Saliency Maps
Itzik Malkiel
|
Dvir Ginzburg
|
Oren Barkan
|
Avi Caciularu
|
Jonathan Weill
|
Noam Koenigstein
Socially-Equitable Interactive Graph Information Fusion-based Prediction for Urban Dockless E-Scooter Sharing
Suining He
|
Kang G. Shin
MagNet: Cooperative Edge Caching by Automatic Content Congregating
Junkun Peng
|
Qing Li
|
Xiaoteng Ma
|
Yong Jiang
|
Yutao Dong
|
Chuang Hu
|
Meng Chen
Learning-based Fuzzy Bitrate Matching at the Edge for Adaptive Video Streaming
Wanxin Shi
|
Qing Li
|
Chao Wang
|
Longhao Zou
|
Gengbiao Shen
|
Pei Zhang
|
Yong Jiang
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices
Qiyang Zhang
|
Xiang Li
|
Xiangying Che
|
Xiao Ma
|
Ao Zhou
|
Mengwei Xu
|
Shangguang Wang
|
Yun Ma
|
Xuanzhe Liu
Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests
Yanxin Xi
|
Tong Li
|
Huandong Wang
|
Yong Li
|
Sasu Tarkoma
|
Pan Hui
Multi-dimensional Probabilistic Regression over Imprecise Data Streams
Ran Gao
|
Xike Xie
|
Kai Zou
|
Torben Bach Pedersen
Lie to Me: Abusing the Mobile Content Sharing Service for Fun and Profit
Guosheng Xu
|
Siyi Li
|
Hao Zhou
|
Shucen Liu
|
Yutian Tang
|
Li Li
|
Xiapu Luo
|
Xusheng Xiao
|
Guoai Xu
|
Haoyu Wang
Knowledge Enhanced GAN for IoT Traffic Generation
Shuodi Hui
|
Huandong Wang
|
Zhenhua Wang
|
Xinghao Yang
|
Zhongjin Liu
|
Depeng Jin
|
Yong Li
LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning
Seungeun Oh
|
Jihong Park
|
Praneeth Vepakomma
|
Sihun Baek
|
Ramesh Raskar
|
Mehdi Bennis
|
Seong-Lyun Kim
Commutativity-guaranteed Docker Image Reconstruction towards Effective Layer Sharing
Sisi Li
|
Ao Zhou
|
Xiao Ma
|
Mengwei Xu
|
Shangguang Wang
FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection
Wenbin Li
|
Xiaokai Chu
|
Yueyang Su
|
Di Yao
|
Shiwei Zhao
|
Runze Wu
|
Shize Zhang
|
Jianrong Tao
|
Hao Deng
|
Jingping Bi
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network
Liangwei Yang
|
Zhiwei Liu
|
Yu Wang
|
Chen Wang
|
Ziwei Fan
|
Philip S. Yu
Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games
Chuang Zhao
|
Hongke Zhao
|
Yong Ge
|
Runze Wu
|
Xudong Shen
Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking
Jiashu Pu
|
Jianshi Lin
|
Xiaoxi Mao
|
Jianrong Tao
|
Xudong Shen
|
Yue Shang
|
Runze Wu
Nebula: Reliable Low-latency Video Transmission for Mobile Cloud Gaming
Ahmad Yousef Alhilal
|
Tristan Braud
|
Bo Han
|
Pan Hui
Analyzing the Differences between Professional and Amateur Esports through Win Probability
Peter Xenopoulos
|
William Robert Freeman
|
Cláudio T. Silva
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
Hojoon Lee
|
Dongyoon Hwang
|
Hyunseung Kim
|
Byungkun Lee
|
Jaegul Choo
The Price to Play: A Privacy Analysis of Free and Paid Games in the Android Ecosystem
Pierre Laperdrix
|
Naif Mehanna
|
Antonin Durey
|
Walter Rudametkin
On The Origins Of Hypertext In The Disasters Of The Short 20th Century
Mark Bernstein
Through the Lens of the Web Conference Series: A Look Into the History of the Web
Damien Graux
|
Fabrizio Orlandi
From Indymedia to Tahrir Square: The Revolutionary Origins of Status Updates on Twitter
Harry Halpin
|
Evan Henshaw-Plath
"Way back then": A Data-driven View of 25+ years of Web Evolution
Vibhor Agarwal
|
Nishanth Sastry
A Never-Ending Project for Humanity Called "the Web"
Fabien Gandon
|
Wendy Hall
Fairness Audit of Machine Learning Models with Confidential Computing
Saerom Park
|
Seongmin Kim
|
Yeon-sup Lim
BZNet: Unsupervised Multi-scale Branch Zooming Network for Detecting Low-quality Deepfake Videos
Sangyup Lee
|
Jaeju An
|
Simon S. Woo
VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification Reading
Kuan-Chieh Lo
|
Shih-Chieh Dai
|
Aiping Xiong
|
Jing Jiang
|
Lun-Wei Ku
End-to-End Learning for Fair Ranking Systems
James Kotary
|
Ferdinando Fioretto
|
Pascal Van Hentenryck
|
Ziwei Zhu
To Trust or Not To Trust: How a Conversational Interface Affects Trust in a Decision Support System
Akshit Gupta
|
Debadeep Basu
|
Ramya Ghantasala
|
Sihang Qiu
|
Ujwal Gadiraju
Link Recommendations for PageRank Fairness
Sotiris Tsioutsiouliklis
|
Evaggelia Pitoura
|
Konstantinos Semertzidis
|
Panayiotis Tsaparas
Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes
Hui Hu
|
Lu Cheng
|
Jayden Parker Vap
|
Mike Borowczak
Causal Representation Learning for Out-of-Distribution Recommendation
Wenjie Wang
|
Xinyu Lin
|
Fuli Feng
|
Xiangnan He
|
Min Lin
|
Tat-Seng Chua
Privacy-Preserving Fair Learning of Support Vector Machine with Homomorphic Encryption
Saerom Park
|
Junyoung Byun
|
Joohee Lee
Regulating Online Political Advertising
Eray Turkel
Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data
Luyu Qiu
|
Yi Yang
|
Caleb Chen Cao
|
Yueyuan Zheng
|
Hilary Hei Ting Ngai
|
Janet Hui-wen Hsiao
|
Lei Chen
Distributionally-robust Recommendations for Improving Worst-case User Experience
Hongyi Wen
|
Xinyang Yi
|
Tiansheng Yao
|
Jiaxi Tang
|
Lichan Hong
|
Ed H. Chi
Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition
Ziyi Kou
|
Lanyu Shang
|
Yang Zhang
|
Siyu Duan
|
Dong Wang
A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection
Lanyu Shang
|
Ziyi Kou
|
Yang Zhang
|
Dong Wang
Domain Adaptive Fake News Detection via Reinforcement Learning
Ahmadreza Mosallanezhad
|
Mansooreh Karami
|
Kai Shu
|
Michelle V. Mancenido
|
Huan Liu
Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs
Thi Huyen Nguyen
|
Koustav Rudra
On Explaining Multimodal Hateful Meme Detection Models
Ming Shan Hee
|
Roy Ka-Wei Lee
|
Wen-Haw Chong
Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity
Kirill Solovev
|
Nicolas Pröllochs
Exposing Query Identification for Search Transparency
Ruohan Li
|
Jianxiang Li
|
Bhaskar Mitra
|
Fernando Diaz
|
Asia J. Biega
Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation
Shoujin Wang
|
Xiaofei Xu
|
Xiuzhen Zhang
|
Yan Wang
|
Wenzhuo Song
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders
Xinyi Zhou
|
Kai Shu
|
Vir V. Phoha
|
Huan Liu
|
Reza Zafarani
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers
Abhisek Dash
|
Abhijnan Chakraborty
|
Saptarshi Ghosh
|
Animesh Mukherjee
|
Krishna P. Gummadi
Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media
Kirill Solovev
|
Nicolas Pröllochs
Fostering Engagement of Underserved Communities with Credible Health Information on Social Media
Agha Ali Raza
|
Mustafa Naseem
|
Namoos Hayat Qasmi
|
Shan Randhawa
|
Fizzah Malik
|
Behzad Taimur
|
Sacha St-Onge Ahmad
|
Sarojini Hirshleifer
|
Arman Rezaee
|
Aditya Vashistha
Screenshots, Symbols, and Personal Thoughts: The Role of Instagram for Social Activism
Ehsan ul Haq
|
Tristan Braud
|
Yui-Pan Yau
|
Lik-Hang Lee
|
Franziska B. Keller
|
Pan Hui
ExpScore: Learning Metrics for Recommendation Explanation
Bingbing Wen
|
Yunhe Feng
|
Yongfeng Zhang
|
Chirag Shah
Following Good Examples - Health Goal-Oriented Food Recommendation based on Behavior Data
Yabo Ling
|
Jian-Yun Nie
|
Daiva Nielsen
|
Bärbel Knäuper
|
Nathan Yang
|
Laurette Dubé
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement
Karishma Sharma
|
Emilio Ferrara
|
Yan Liu