Research tracks:
Economics, Monetization, and Online Markets
- Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework
Xiaoxiao Xu, Chen Yang, Qian Yu, Zhiwei Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin and Jingping Shao - Allocating Stimulus Checks in Times of Crisis
Marios Papachristou and Jon Kleinberg - Almost (Weighted) Proportional Allocations for Indivisible Chores
Bo Li, Yingkai Li and Xiaowei Wu - Auction Design in an Auto-bidding Setting: Randomization Improves Efficiency beyond VCG
Aranyak Mehta - Auctions between Regret-Minimizing Agents
Yoav Kolumbus and Noam Nisan - Beyond Customer Lifetime Valuation: Measuring the Value of Acquisition and Retention for Subscription Services
Hamidreza Badri and Allen Tran - BONUS! Maximizing Surprise
Zhihuan Huang, Yuqing Kong, Xiao Liu, Grant Schoenebeck and Shengwei Xu - Calibrated Click-Through Auctions
Dirk Bergemann, Paul Duetting, Renato Paes Leme and Song Zuo - Equilibria in Auctions with Ad Types
Hadi Elzayn, Riccardo Colini Baldeschi, Brian Lan and Okke Schrijvers - Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms
Hannah Li, Geng Zhao, Ramesh Johari and Gabriel Weintraub - Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction
Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen and Jiang Bian - Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions
Xiaotie Deng, Xinyan Hu, Tao Lin and Weiqiang Zheng - On Designing a Two-stage Auction for Online Advertising
Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu and Fan Wu - Optimal Collaterals in Multi-Enterprise Investment Networks
Moshe Babaioff, Yoav Kolumbus and Eyal Winter - Price Manipulability in First-Price Auctions
Johannes Brustle, Paul Duetting and Balasubramanian Sivan - Regulatory Instruments for Fair Personalized Pricing
Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen and Jiazheng Xu - The Parity Ray Regularizer for Pacing in Auction Markets
Andrea Celli, Riccardo Colini Baldeschi, Christian Kroer and Eric Sodomka - Truthful Online Scheduling of Cloud Workloads under Uncertainty
Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins and Sam Wong
Search
- A Category-aware Multi-interest Model for Personalized Product Search
Jiongnan Liu, Zhicheng Dou, Qiannan Zhu and Ji-Rong Wen - A Gain-Tuning Dynamic Negative Sampler for Recommendation
Qiannan Zhu, Haobo Zhang, Qing He and Zhicheng Dou - A Model-Agnostic Causal Learning Framework for Recommendation using Search Data
Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song and Ji-Rong Wen - A Multi-task Learning Framework for Product Ranking with BERT
Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao and Yi Fang - Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction
Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu and Bo Zheng - CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation
Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui and Yong Jiang - CoSimHeat: An Effective Heat Kernel Similarity Measure Based on Billion-Scale Network Topology
Weiren Yu, Jian Yang, Maoyin Zhang and Di Wu - 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 and Dong Wang - 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 and Zhao Li - Efficient and Effective Similarity Search over Bipartite Graphs
(Best Paper Award candidate)
Renchi Yang - Efficient Neural Ranking using Forward Indexes
Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand and Avishek Anand - Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying and Inderjit Dhillon - FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback
Jie Li, Yongli Ren and Ke Deng - Global or Local: Constructing Personalized Click Models for Web Search
Junqi Zhang, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma and Qi Tian - IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search
Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Xiangnan He, Fuyu Lv, Tao Zhuang and Xiaoyi Zeng - Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads
Kaifu Zheng, Lu Wang, Yu Li, Xusong Chen, Xiwei Zhao, Hu Liu, Jing Lu, Changping Peng, Zhangang Lin and Jingping Shao - Knowledge-aware Conversational Preference Elicitation with Bandit Feedback
Canzhe Zhao, Tong Yu, Zhihui Xie and Shuai Li - Learning Explicit User Interest Boundary for Recommendation
Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue and Yuhong Zhao - Learning Neural Ranking Models Online from Implicit User Feedback
Yiling Jia and Hongning Wang - Learning Probabilistic Box Embeddings for Effective and Efficient Ranking
Lang Mei, Jiaxin Mao, Gang Guo and Ji-Rong Wen - 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 and Keping Yang - Optimizing Rankings for Recommendation in Matching Markets
Yi Su, Magd Bayoumi and Thorsten Joachims - ParClick: A Scalable Algorithm for EM-based Click Models
Pooya Khandel, Ilya Markov, Andrew Yates and Ana-Lucia Varbanescu - PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation
Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan and Xiaoyue Feng - Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments
Kevin Roitero, Alessandro Checco, Stefano Mizzaro and Gianluca Demartini - 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 and Xing Xie - RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin and Tarek Abdelzaher - Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning
Euna Jung, Jaekeol Choi, Naver Corp. and Wonjong Rhee - Socialformer: Social Network Inspired Long Document Modeling for Document Ranking
Yujia Zhou, Zhicheng Dou, Huaying Yuan and Zhengyi Ma - StruBERT: Structure-aware BERT for Table Search and Matching
Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison and Jeff Heflin - Towards a Better Understanding of Human Reading Comprehension with Brain Signals
Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang and Shaoping Ma
Security, Privacy, and Trust
- A View into Youtube View Fraud
Dhruv Kuchhal and Frank Li - ALLIE: Active Learning on Large-scale Imbalanced Graphs
Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian and Dongwon Lee - Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack
Shahroz Tariq, Sowon Jeon and Simon S. Woo - 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 and Rongxing Lu - Attention-Based Vandalism Detection in OpenStreetMap
Nicolas Tempelmeier and Elena Demidova - Beyond Bot Detection: Combating Fraudulent Online Survey Takers
Ziyi Zhang, Shuofei Zhu, Jaron Mink, Aiping Xiong, Linhai Song and Gang Wang - Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy
Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Ying Shan and Zengfeng Huang - CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning
Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni and Li Li - DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders
Benjamin Weggenmann, Valentin Rublack, Michael Andrejczuk, Justus Mattern and Florian Kerschbaum - Et tu, Brute? Privacy Analysis of Government Websites and Mobile Apps
Nayanamana Samarasinghe, Aashish Adhikari, Mohammad Mannan and Amr Youssef - ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
Xinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi and Jing Yu - Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang, Song Guo, Xin Xie and Heng Qi - 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 and Kai Lu - HiddenCPG: Large-Scale Vulnerable Clone Detection Using Subgraph Isomorphism of Code Property Graphs
Seongil Wi, Sijae Woo, Joyce Whang and Sooel Son - 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 and Limin Jia - Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning
Soyoung Lee, Seongil Wi and Sooel Son - Measuring Alexa Skill Privacy Practices across Three Years
Jide Edu, Xavier Ferrer Aran, Jose Such and Guillermo Suarez-Tangil - Measuring the Privacy vs. Compatibility Trade-off in Preventing Third-Party Stateful Tracking
Jordan Jueckstock, Peter Snyder, Shaown Sarker, Alexandros Kapravelos and Benjamin Livshits - MemStream: Memory-Based Streaming Anomaly Detection
Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi and Bryan Hooi - Reproducibility and Replicability of Web Measurement Studies
Nurullah Demir, Matteo Große-Kampmann, Tobias Urban, Christian Wressnegger, Thorsten Holz and Norbert Pohlmann - Revisiting Email Forwarding Security under the Authenticated Received Chain Protocol
Chenkai Wang and Gang Wang - Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning
Thai Le, Long Tran-Thanh and Dongwon Lee - TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
Sijia Li, Gaopeng Gou, Chang Liu, Chengshang Hou, Zhenzhen Li and Gang Xiong - Understanding the Practice of Security Patch Management across Multiple Branches in OSS Projects
Xin Tan, Yuan Zhang, Jiajun Cao, Kun Sun, Mi Zhang and Min Yang - Verba Volant, Scripta Volant: Understanding Post-publication Title Changes in News Outlets
Xingzhi Guo, Brian Kondracki, Nick Nikiforakis and Steven Skiena
Semantics and Knowledge
- AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations
Sk Mainul Islam and Sourangshu Bhattacharya - Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?
Aleksandr Perevalov, Andreas Both, Dennis Diefenbach and Axel-Cyrille Ngonga Ngomo - Conditional Generation Net for Medication Recommendation
Rui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi and Xian Wu - 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, Amit Sheth, Srinivasan Parthasarathy and Olivier Bodenreider - Creating Signature-Based Views for Description Logic Ontologies with Transitivity and Qualified Number Restrictions
Yue Xiang, Xuan Wu, Chang Lu and Yizheng Zhao - Enhancing Knowledge Bases with Quantity Facts
Vinh Thinh Ho, Daria Stepanova, Dragan Milchevski, Jannik Strötgen and Gerhard Weikum - EventBERT: A Pre-Trained Model for Event Correlation Reasoning
Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long and Daxin Jiang - EvoLearner: Learning Description Logics with Evolutionary Algorithms
Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir and Axel-Cyrille Ngonga Ngomo - Exploring Edge Disentanglement for Node Classification
Tianxiang Zhao, Xiang Zhang and Suhang Wang - Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments
(Best Paper Award candidate)
Lars Heling and Maribel Acosta - Knowledge Graph Reasoning with Relational Digraph
Yongqi Zhang and Quanming Yao - 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 and Yongfeng Zhang - Ontology-enhanced Prompt-tuning for Few-shot Learning
Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen and Huajun Chen - Path Language Modeling over Knowledge Graphs for Explainable Recommendation
Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo and Yongfeng Zhang - QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations
Suyuchen Wang, Ruihui Zhao, Yefeng Zheng and Bang Liu - Rethinking Graph Convolutional Networks in Knowledge Graph Completion
Zhanqiu Zhang, Jie Wang, Jieping Ye and Feng Wu - SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
(Best Paper Award candidate)
Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong and Jie Tang - Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings
Kai Wang, Yu Liu and Quan Z. Sheng - TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations
Minhao Jiang, Xiangchen Song, Jieyu Zhang and Jiawei Han - Time-aware Entity Alignment using Temporal Relational Attention
Chengjin Xu, Fenglong Su, Bo Xiong and Jens Lehmann - Translating Place-Related Questions to GeoSPARQL Queries
Ehsan Hamzei, Martin Tomko and Stephan Winter - Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo and Weijun Ren - Uncertainty-aware Pseudo Label Refinery for Entity Alignment
Jia Li and Dandan Song - Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models
Weiqi Sun, Haidar Khan, Nicolas Guenon Des Mesnards, Melanie Rubino and Konstantine Arkoudas - Unified Question Generation with Continual Lifelong Learning
Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang and 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 and Alessandro Bozzon - What’s in an Index: Extracting Domain-specific Knowledge Graphs from Textbooks
Isaac Alpizar Chacon and Sergey Sosnovsky
Social Network Analysis and Graph Algorithms
- A New Dynamic Algorithm for Densest Subhypergraphs
(Best Paper Award candidate)
Suman K. Bera, Sayan Bhattacharya, Jayesh Choudhari and Prantar Ghosh - A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation
Zhen Wang, Dongpeng Hou, Chao Gao, Jiajin Huang and Qi Xuan - A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks
Sijing Tu and Stefan Neumann - Adversarial Graph Contrastive Learning with Information Regularization
Shengyu Feng, Baoyu Jing, Yada Zhu and Hanghang Tong - An Invertible Graph Diffusion Neural Network for Source Localization
Junxiang Wang, Junji Jiang and Liang Zhao - AUC-oriented Graph Neural Network for Fraud Detection
Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Yang Hao and Qing He - Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices
Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang and Danai Koutra - CGC: Contrastive Graph Clustering for Community Detection and Tracking
Namyong Park, Ryan Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen Ahmed and Christos Faloutsos - ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs
Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li and Hong Chen - Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation
Weiming Liu, Xiaolin Zheng, Mengling Hu and Chaochao Chen - Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding
Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng and Chun Chen - Compact Graph Structure Learning via Mutual Information Compression
Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo and Chuan Shi - Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang and Jun Zhou - Curvature Graph Generative Adversarial Networks
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu and Hao Peng - Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective
Lanning Wei, Huan Zhao and Zhiqiang He - Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation
Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng and Li Wang - Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media
Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang and Sophia Ananiadou - Dual Space Graph Contrastive Learning
Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S Yu and Guandong Xu - Dual-branch Density Ratio Estimation for Signed Network Embedding
Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu and Wenbin Hu - EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong, Ninghao Liu, Brian Jalaian and Jundong Li - Fair k-Center Clustering in MapReduce and Streaming Settings
Suman K. Bera, Syamantak Das, Sainyam Galhotra and Sagar Sudhir Kale - FirmCore Decomposition of Multilayer Networks
Farnoosh Hashemi, Ali Behrouz and Laks V.S. Lakshmanan - FreSCo: Mining Frequent Patterns in Simplicial Complexes
Giulia Preti, Gianmarco De Francisci Morales and Francesco Bonchi - GBK-GNN: Gated Bi-Kernel Graph Neural Network for Modeling Both Homophily and Heterophily
Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han and Dongmei Zhang - Generating Simple Directed Social Network Graphs for Information Spreading
Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan Velimsky, Robert Elsässer and Bernhard C. Geiger - Geometric Graph Representation Learning via Maximizing Rate Reduction
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li and Xia Hu - Graph Alignment with Noisy Supervision
Shichao Pei, Lu Yu, Guoxian Yu and Xiangliang Zhang - Graph Communal Contrastive Learning
Bolian Li, Baoyu Jing and Hanghang Tong - Graph Neural Network for Higher-Order Dependency Networks
Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang and Wenjun Wang - Graph Neural Networks Beyond Compromise Between Attribute and Topology
Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao and Dongxiao He - Graph Sanitation with Application to Node Classification
Zhe Xu, Boxin Du and Hanghang Tong - Graph-adaptive Rectified Linear Unit for Graph Neural Networks
Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz and Irwin King - H2 -FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections
Fengzhao Shi, Yanmin Shang, Yanan Cao, Yuchen Zhou, Chuan Zhou and Jia Wu - Inflation Improves Graph Neural Networks
Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang and Wenjun Wang - KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios
Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng and Jiawei Han - Learning the Markov Order of Paths in Graphs
Luka V. Petrovic and Ingo Scholtes - Lightning Fast and Space Efficient k-clique Counting
Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen and Guoren Wang - Listing Maximal k-Plexes in Large Real-World Graphs
Zhengren Wang, Yi Zhou, Mingyu Xiao and Bakhadyr Khoussainov - Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily
Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song and Liang Wang - MiDaS: Representative Sampling from Real-world Hypergraphs
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang and Kijung Shin - Model-Agnostic Augmentation for Accurate Graph Classification
Jaemin Yoo, Sooyeon Shim and U Kang - Multimodal Continual Graph Learning with Neural Architecture Search
Jie Cai, Xin Wang, Chaoyu Guan, Yateng Tang, Jin Xu, Bin Zhong and Wenwu Zhu - Neural Predicting Higher-order Patterns in Temporal Networks
Yunyu Liu, Jianzhu Ma and Pan Li - On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks
Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang and Jianling Sun - ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks
Diego Santoro and Ilie Sarpe - Polarized Graph Neural Networks
Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long and Yingxue Zhang - Prohibited Item Detection via Risk Graph Structure Learning
Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi and Jianan Zhao - RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo and Hanghang Tong - Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling
Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen and Sanglu Lu - Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction
Yanfu Zhang, Hongchang Gao, Jian Pei and Heng Huang - SATMargin: Practical Maximal Frequent Subgraph Mining via Margin Space Sampling
Muyi Liu and Pan Li - SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation
Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu and Stan Z. Li - Temporal Walk Centrality: Ranking Nodes in Evolving Networks
Lutz Oettershagen, Petra Mutzel and Nils Kriege - Towards Unsupervised Deep Graph Structure Learning
(Best Paper Award candidate)
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng and Shirui Pan - TREND: TempoRal Event and Node Dynamics for Graph Representation Learning
Zhihao Wen and Yuan Fang - Unbiased Graph Embedding with Biased Graph Observations
Nan Wang, Lu Lin, Jundong Li and Hongning Wang - Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation
Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li and Guandong Xu
Social Web
- Capturing Diverse and Precise Reactions to a Comment with User-Generated Labels
Eun-Young Ko, Eunseo Choi, Jeong-woo Jang and Juho Kim - Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks
Alexander Braylan, Omar Alonso and Matthew Lease - Outlier Detection for Streaming Task Assignment in Crowdsourcing
Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng and Christian S. Jensen - Ready Player One! Eliciting Diverse Knowledge Using a Configurable Game
(Best Paper Award candidate)
Agathe Balayn, Gaole He, Andrea Hu, Jie Yang and Ujwal Gadiraju - Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling
Lingzhi Wang, Jing Li, Xingshan Zeng and Kam-Fai Wong - The Influences of Task Design on Crowdsourced Judgement: A Case Study of Recidivism Risk Evaluation
Xiaoni Duan, Chien-Ju Ho and Ming Yin - This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign
Abraham Israeli, Alexander Kremiansky and Oren Tsur - Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making
Xinru Wang, Zhuoran Lu and Ming Yin
Systems and Infrastructure
- A Sampling-based Learning Framework for Big Databases
Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao and Gang Chen - A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems
Tao Huang, Pengfei Chen and Ruipeng Li - Accelerating Serverless Computing by Harvesting Idle Resources
Hanfei Yu, Hao Wang, Jian Li, Xu Yuan and Seung-Jong Park - DREW: Efficient Winograd CNN Inference with Deep Reuse
Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du and Xipeng Shen - FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding
Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu and Jing Gao - Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing
Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou and Xu Chen - Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training
Ting Liu, Tianhao Miao, Qinghua Wu, Zhenyu Li, Guangxin He, Jiaoren Wu, Shengzhuo Zhang, Xingwu Yang, Gareth Tyson and Gaogang Xie - Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training
Yunyong Ko, Dongwon Lee and Sang-Wook Kim - PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm
(Best Paper Award candidate)
Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang and Bin Cui - Pyramid: Enabling Hierarchical Neural Networks with Edge Computing
Qiang He, Zeqian Dong, Feifei Chen, Shuiguang Deng, Weifa Liang and Yun Yang - QCluster: Clustering Packets for Flow Scheduling
Tong Yang, Jizhou Li, Yikai Zhao, Kaicheng Yang, Hao Wang, Jie Jiang, Yinda Zhang and Nicholas Zhang - Robust System Instance Clustering for Large-Scale Web Services
Shenglin Zhang, Dongwen Li, Zhenyu Zhong, Jun Zhu, Minghan Liang, Jiexi Luo, Yongqian Sun, Ya Su, Sibo Xia, Zhongyou Hu, Yuzhi Zhang, Dan Pei, Jiyan Sun and Yinlong Liu - The Case of SPARQL UNION, FILTER and DISTINCT
Medha Atre - TRACE: A Fast Transformer-based General-Purpose Lossless Compressor
Yu Mao, Yufei Cui, Tei-Wei Kuo and Chun Jason Xue - UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan and Dongmei Zhang
User Modeling, Personalization and Accessibility
- Adaptive Experimentation with Delayed Binary Feedback
Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao and Weipeng Yan - An Empirical Investigation of Personalization Factors on TikTok
Maximilian Boeker and Aleksandra Urman - AutoField: Automating Feature Selection in Deep Recommender Systems
Yejing Wang, Xiangyu Zhao, Tong Xu and Xian Wu - CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction
Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen and Hui Xiong - Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations
Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catie Edwards, Benjamin Carterette and Mounia Lalmas - Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang and Hwanjo Yu - Contrastive Learning for Knowledge Tracing
Wonsung Lee, Jaeyoon Chun, Youngmin Lee, Kyoungsoo Park and Sungrae Park - Cross Pairwise Ranking for Unbiased Item Recommendation
Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo and Ruiming Tang - Deep Unified Representation for Heterogeneous Recommendation
Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu and Hongxia Yang - Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors
Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Inc, Deepak Ramachandran and Craig Boutilier - Disentangling Long and Short-Term Interests for Recommendation
Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin and Yong Li - Distributional Contrastive Embedding for Clarification-based Conversational Critiquing
Tianshu Shen, Zheda Mai, Ga Wu and Scott Sanner - Dynamic Gaussian Embedding of Authors
Antoine Gourru, Julien Velcin, Christophe Gravier and Julien Jacques - Efficient Online Learning to Rank for Sequential Music Recommendation
Pedro Dalla Vecchia Chaves, Bruno L. Pereira and Rodrygo L. T. Santos - Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction
Le Yu, Guanghui Wu, Leilei Sun, Bowen Du and Weifeng Lv - Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering
Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng and Enhong Chen - FeedRec: News Feed Recommendation with Various User Feedbacks
Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang and Xing Xie - Filter-enhanced MLP is All You Need for Sequential Recommendation
Kun Zhou, Hui Yu, Wayne Xin Zhao and Ji-Rong Wen - FIRE: Fast Incremental Recommendation with Graph Signal Processing
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu and Ning Gu - Generative Session-based Recommendation
Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou and Weidong Liu - Graph Neural Transport Networks with Non-local Attentions for Recommender Systems
Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang and Hao Yang - Graph-based Extractive Explainer for Recommendations
Peng Wang, Renqin Cai and Hongning Wang - GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction
Chunyu Wei, Bing Bai, Kun Bai and Fei Wang - HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization
Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian and Irwin King - Hypercomplex Graph Collaborative Filtering
Anchen Li, Bo Yang, Huan Huo and Farookh Hussain - Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
Zihan Lin, Changxin Tian, Yupeng Hou and Wayne Xin Zhao - Intent Contrastive Learning for Sequential Recommendation
Yongjun Chen, Zhiwei Liu, Jia Li, Julian McAuley and Caiming Xiong - LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm
Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang and Peng Jiang - Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data
Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng and Yong Yu - Learning Recommenders for Implicit Feedback with Importance Resampling
Jin Chen, Binbin Jin, Defu Lian, Kai Zheng and Enhong Chen - Learning Robust Recommenders through Cross-Model Agreement
Yu Wang, Xin Xin, Zaiqiao Meng, Jeoman Jose, Fuli Feng and Xinagnan He - Learning to Augment for Casual User Recommendation
Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed Chi and Minmin Chen - Lessons from the AdKDD’21 Privacy-Preserving ML Challenge
Eustache Diemert, Alexandre Gilotte, Romain Fabre, Basile Leparmentier, Jeremie Mary, Ugo Tanielian, Hui Yang and Qu Zhonghua - MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu and Bo Zheng - MCL: Mixed-Centric Loss for Collaborative Filtering
Zhaolin Gao, Zhaoyue Cheng, Felipe Perez, Jianing Sun and Maksims Volkovs - Meta-Learning Helps Personalized Product Search
Bin Wu, Zaiqiao Meng, Qiang Zhang and Shangsong Liang - MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks
Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo and James Caverlee - MINDSim: User Simulator for News Recommenders
Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie and Dongsheng Li - Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation
Tengyue Han, Pengfei Wang, Shaozhang Niu and Chenliang Li - Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning
Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu and Xing Xie - Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation
Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long and Jian Pei - Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems
Yaochen Zhu and Zhenzhong Chen - Off-policy Learning over Heterogeneous Information for Recommendation
Xiangmeng Wang, Qian Li, Dianer Yu and Guandong Xu - OffDQ: An Offline Deep Learning Framework for QoS Prediction
Soumi Chattopadhyay, Richik Chanda, Suraj Kumar and Chandranath Adak - Prototype Feature Extraction for Multi-task Learning
Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu and Jie Zhang - QLUE: A Computer Vision Tool for Uniform Qualitative Evaluation of Web Pages
Waleed Hashmi, Moumena Chaqfeh, Lakshminarayanan Subramanian and Yasir Zaki - Rating Distribution Calibration for Selection Bias Mitigation in Recommendations
Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang and Youlong Cheng - Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation
Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua and Fei Wu - Sequential Recommendation via Stochastic Self-Attention
Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng and Philip S. Yu - Sequential Recommendation with Decomposed Item Feature Routing
Kun Lin, Zhenlei Wang, Zhipeng Wang, Bo Chen, Shiqi Shen and Xu Chen - Similarity-based Multi-Domain Dialogue State Tracking with Copy Mechanisms for Task-based Virtual Personal Assistants
Jarana Manotumruksa, Jeffrey Dalton, Edgar Meij and Emine Yilmaz - Stochastic-Expert Variational Autoencoder for Collaborative Filtering
Yoon-Sik Cho and Min-hwan Oh - Towards a Multi-view Attentive Matching for Personalized Expert Finding
Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao and Wenjun Wang - Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation
Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge and Enhong Chen - UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation
Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang and Bo Zheng - Unbiased Sequential Recommendation with Latent Confounders
Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen and Ji-Rong Wen
Web and Society
- Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen and Jundong Li - BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis
Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato and Ting Chen - Characterizing, Detecting, and Predicting Online Ban Evasion
Manoj Niverthi, Gaurav Verma and Srijan Kumar - Conspiracy Brokers: Understanding the Monetization of YouTube Conspiracy Theories
Cameron Ballard, Ian Goldstein, Pulak Mehta, Genesis Smothers, Kejsi Take, Victoria Zhong, Rachel Greenstadt, Tobias Lauinger and Damon McCoy - Context-based Collective Preference Aggregation for Prioritizing Crowd Opinions in Social Decision-making
Jiyi Li - Controlled Analyses of Social Biases in Wikipedia Bios
Anjalie Field, Chan Young Park, Kevin Lin and Yulia Tsvetkov - Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification
Usman Naseem, Adam G. Dunn, Jinman Kim and Matloob Khushi - Emotion Bubbles: Emotional Composition of Online Discourse Before and After the COVID-19 Outbreak
Assem Zhunis, Gabriel Lima, Hyeonho Song, Jiyoung Han and Meeyoung Cha - Evidence-aware Fake News Detection with Graph Neural Networks
Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu and Liang Wang - EvidenceNet: Evidence Fusion Network for Fact Verification
Zhendong Chen, Siu Cheung Hui, Lejian Liao, Fuzhen Zhuang, Fei Li, Meihuizi Jia and Jiaqi Li - GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates
Vibhor Agarwal, Sagar Joglekar, Anthony P. Young and Nishanth Sastry - How Do Mothers and Fathers Talk About Parenting to Different Audiences?
Melody Sepahpour-Fard and Michael Quayle - How Misinformation Density Affects Health Information Search
Qiurong Song and Jiepu Jiang - Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification
Usman Naseem, Jinman Kim, Matloob Khushi and Adam G. Dunn - Jettisoning Junk Messaging in the Era of End-to-End Encryption: A Case Study of WhatsApp
Pushkal Agarwal, Aravindh Raman, Kiran Garimella, Damiola Ibosiola, Gareth Tyson and Nishanth Sastry - Left or Right: A Peek into the Political Biases in Email Spam Filtering Algorithms During US Election 2020
Hassan Iqbal, Usman Mahmood Khan, Hassan Ali Khan and Muhammad Shahzad - Leveraging Google’s Publisher-Specific IDs to Detect Website Administration
Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos and Nicolas Kourtellis - PopNet: Real-Time Population-Level Disease Prediction with Data Latency
Junyi Gao, Cao Xiao, Lucas Glass and Jimeng Sun - Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways
(Best Paper Award candidate)
Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo and Michael Mathioudakis - Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction
Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi and Niloy Ganguly - Second-level Digital Divide: A Longitudinal Study of Mobile Traffic Consumption Imbalance in France
Sachit Mishra, Zbigniew Smoreda and Marco Fiore - The Impact of Twitter Labels on Misinformation Spread and User Engagement: Lessons from Trump’s Election Tweets
Orestis Papakyriakopoulos and Ellen Goodmann - Understanding Conflicts in Online Conversations
Sharon Levy, Robert E. Kraut, Jane Yu, Kristen M. Altenburger and Yi-Chia Wang - What Does Perception Bias on Social Networks Tell Us about Friend Count Satisfaction?
Shen Yan, Kristen M. Altenburger, Yi-Chia Wang and Justin Cheng
Web Mining and Content Analysis
- “I Have No Text in My Post”: Using Visual Hints to Model User Emotions in Social Media
(Best Paper Award candidate)
Junho Song, Kyungsik Han and Sang-Wook Kim - A Contrastive Sharing Model for Multi-Task Recommendation
Ting Bai, Yudong Xiao, Bin Wu, Guojun Yang, Hongyong Yu and Jian-Yun Nie - A Deep Markov Model for Clickstream Analytics in Online Shopping
Yilmazcan Ozyurt, Tobias Hatt, Ce Zhang and Stefan Feuerriegel - A Guided Topic-Noise Model for Short Texts
Robert Churchill, Lisa Singh, Rebecca Ryan and Pamela Davis-Kean - A Meta-learning based Stress Category Detection Framework on Social Media
Xin Wang, Lei Cao, Huijun Zhang, Ling Feng, Yang Ding and Ningyun Li - Accurate and Explainable Recommendation via Review Rationalization
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo and Ning Gu - AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions
Quoc-Tuan Truong, Tong Zhao, Chenghe Yuan, Jin Li, Jim Chan, Soo-Min Pantel and Hady W. Lauw - CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodriguez, Chao Zhang and B Aditya Prakash - Can Small Heads Help? Understanding and Improving Multi-Task Generalization
Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei and Ed Chi - Comparative Explanations of Recommendations
Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng and Hongning Wang - Contrastive Learning with Positive-Negative Frame Mask for Music Representation
Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang and Xiuqiang He - Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun and Li Shang - CycleNER: An Unsupervised Training Approach for Named Entity Recognition
Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko and Shervin Malmasi - Detecting False Rumors from Retweet Dynamics on Social Media
Christof Naumzik and Stefan Feuerriegel - DiriE: Knowledge Graph Embedding with Dirichlet Distribution
Feiyang Wang, Zhongbao Zhang, Li Sun, Junda Ye and Yang Yan - 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 and Guihai Chen - Effective Messaging on Social Media: What Makes Online Content Go Viral?
Maryam Mousavi, Hasan Davulcu, Mohsen Ahmadi, Robert Axelrod, Richard Davis and Scott Atran - 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 and Noseong Park - Explainable Neural Rule Learning
Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li and Min Zhang - Genre-Controllable Story Generation via Supervised Contrastive Learning
JinUk Cho, MinSu Jeong, JinYeong Bak and Yun-Gyung Cheong - Geospatial Entity Resolution
Pasquale Balsebre, Dezhong Yao, Gao Cong and Zhen Hai - GRAND+: Scalable Graph Random Neural Networks
Wenzheng Feng, Yuxiao Dong, Huang Tinglin, Ziqi Yin, Xu Cheng, Evgeny Kharlamov and Jie Tang - Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval
Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia and Jin Xu - Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse
Maxwell Weinzierl and Sanda Harabagiu - Interpreting BERT-based Text Similarity via Activation and Saliency Maps
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill and Noam Koenigstein - Is Least-Squares Inaccurate in Fitting Power-Law Distributions? The Criticism is Complete Nonsense
Xiaoshi Zhong, Muyin Wang and Hongkun Zhang - Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack Detection
Maryam Sadat Mirzaei, Kourosh Meshgi and Satoshi Sekine - 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 and Hechang Chen - 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 and Huajun Chen - 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 and Donghong Ji - Massive Text Normalization via an Efficient Randomized Algorithm
Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya and Yexiang Xue - 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 and Jiawei Han - Modeling Inter Round Attack of Online Debaters for Winner Prediction
Fa-Hsuan Hsiao, An-Zi Yen, Hen-Hsen Huang and Hsin-Hsi Chen - Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing
Emanuele Bugliarello, Rishabh Mehrotra, James Kirk and Mounia Lalmas - Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation
Wei Zhang, Junbing Yan, Zhuo Wang and Jianyong Wang - OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision
Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Dong, Jingbo Shang, Christos Faloutsos and Jiawei Han - Recommendation Unlearning
Chong Chen, Fei Sun, Min Zhang and Bolin Ding - Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network
Ye Tao, Ying Li, Su Zhang, Zhirong Hou and Zhonghai Wu - Rumor Detection on Social Media with Graph Adversarial Contrastive Learning
Tiening Sun, Zhong Qian, Sujun Dong, Peifeng Li and Qiaoming Zhu - 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 and Guihai Chen - Significance and Coverage in Group Testing on the Social Web
Nassim Bouarour, Idir Benouaret and Sihem Amer-Yahia - STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation
Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang and Jie Tang - TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters
Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han and Hwanjo Yu - Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang and Jiawei Han - Topological Transduction for Hybrid Few-shot Learning
Jiayi Chen and Aidong Zhang - User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems
Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng and Helen Meng - 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 and Tony Jebara - Using Web Data to Reveal 22-Year History of Sneaker Designs
(Best Paper Award candidate)
Sungkyu Park, Hyeonho Song, Sungwon Han, Lev Manovich, Berhane Weldegebriel, Emanuele Arielli and Meeyoung Cha - VisGNN: Personalized Visualization Recommendation via Graph Neural Networks
Fayokemi Ojo, Ryan Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao and Eunyee Koh - WebFormer: The Web-page Transformer for Structure Information Extraction
Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan and Dongfang Liu - Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation
Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Zaifan Jiang, Zhewen Su and Yong Yu - Zero-Shot Stance Detection via Contrastive Learning
Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang and Ruifeng Xu
Web of Things, Ubiquitous and Mobile Computing
- 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 and 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 and Pan Hui - Commutativity-guaranteed Docker Image Reconstruction towards Effective Layer Sharing
Sisi Li, Ao Zhou, Xiao Ma, Mengwei Xu and Shangguang Wang - Knowledge Enhanced GAN for IoT Traffic Generation
Shuodi Hui, Huandong Wang, Zhenhua Wang, Xinghao Yang, Zhongjin Liu, Depeng Jin and Yong Li - Learning-based Fuzzy Bitrate Matching at the Edge for Adaptive Video Streaming
Wanxin Shi, Qing Li, Chao Wang, Longhao Zou, Gengbiao Shen, Pei Zhang and Yong Jiang - 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 and Haoyu Wang - 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 and Seong-Lyun Kim - MagNet: Cooperative Edge Caching by Automatic Content Congregating
Junkun Peng, Qing Li, Xiaoteng Ma, Yong Jiang, Yutao Dong, Chuang Hu and Meng Chen - Multi-dimensional Probabilistic Regression over Imprecise Data Streams
Ran Gao, Xike Xie, Kai Zou and Torben Bach Pedersen - Socially-Equitable Interactive Graph Information Fusion-based Prediction for Urban Dockless E-Scooter Sharing
Suining He and Kang G. Shin
Special tracks:
Esports and Online Gaming
- Analyzing the Differences Between Professional and Amateur Esports Through Win Probability
Peter Xenopoulos, William Freeman and Claudio Silva - DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee and Jaegul Choo - 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 and 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 and Philip Yu - Nebula: Reliable Low-latency Video Transmission for Mobile Cloud Gaming
Ahmad Alhilal, Tristan Braud, Bo Han and Pan Hui - The Price to Play: A Privacy Analysis of Free and Paid Games in the Android Ecosystem
Pierre Laperdrix, Naif Mehanna, Antonin Durey and Walter Rudametkin - Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking
Jiashu Pu, Jianshi Lin, Xiaoxi Mao, Runze Wu, Xudong Shen, Jianrong Tao and Yue Shang - Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games
Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu and Xudong Shen
History of the Web
- “Way back then”: A Data-driven View of 25+ years of Web Evolution
Vibhor Agarwal and Nishanth Sastry - A Never-Ending Project for Humanity Called “the Web”
Fabien Gandon and Wendy Hall - From Indymedia to Tahrir Square: The Revolutionary Origins of Status Updates on Twitter
Harry Halpin and Evan Henshaw-Plath - 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 and Fabrizio Orlandi
Web for Good
- “This is Fake! Shared It by Mistake”: Assessing the Intent of Fake News Spreaders
Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu and Reza Zafarani - A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection
Lanyu Shang, Ziyi Kou, Yang Zhang and Dong Wang - Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee and Krishna P. Gummadi - BZNet: Unsupervised Multi-scale Branch Zooming Network for Detecting Low-quality Deepfake Videos
Sangyup Lee, Jaeju An and Simon S. Woo - 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 and Dong Wang - Causal Representation Learning for Out-of-Distribution Recommendation
Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin and Tat-Seng Chua - Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement
Karishma Sharma, Emilio Ferrara and Yan Liu - Distributionally-robust Recommendations for Improving Worst-case User Experience (short paper)
Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong and Ed H. Chi - Domain Adaptive Fake News Detection via Reinforcement Learning
Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle Mancenido and Huan Liu - End-to-end Learning for Fair Ranking Systems
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck and Ziwei Zhu - Exposing Query Identification for Search Transparency
Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz and Asia J. Biega - ExpScore: Learning Metrics for Recommendation Explanation (short paper)
Bingbing Wen, Yunhe Feng, Yongfeng Zhang and Chirag Shah - Fairness Audit of Machine Learning Models with Confidential Computing
Saerom Park, Seongmin Kim and Yeon-sup Lim - Following Good Examples – Health Goal-Oriented Food Recommendation based on Behavior Data
Yabo Ling, Jian-Yun Nie, Daiva Nielsen, Barbel Knauper, Nathan Yang and Laurette Dubé - 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 and Aditya Vashistha - Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data
Luyu Qiu, Yi Yang, Caleb Chen Cao, Yueyuan Zheng, Hilary Ngai, Janet Hsiao and Lei Chen - Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity (short paper)
Kirill Solovev and Nicolas Pröllochs - Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes
Hui Hu, Lu Cheng, Jayden Vap and Mike Borowczak - Link Recommendations for PageRank Fairness
Sotiris Tsioutsiouliklis, Konstantinos Semertzidis, Evaggelia Pitoura and Panayiotis Tsaparas - Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media
Kirill Solovev and Nicolas Pröllochs - On Explaining Multimodal Hateful Meme Detection Models (short paper)
Ming Shan Hee, Roy Ka-Wei Lee and Wen-Haw Chong - Privacy-preserving Fair Learning of Support Vector Machine with Homomorphic Encryption
Saerom Park, Junyoung Byun and Joohee Lee - Regulating Online Political Advertising
Eray Turkel - 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 and Pan Hui - 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 and Ujwal Gadiraju - Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs
Thi Huyen Nguyen and Koustav Rudra - Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation
Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang and Wenzhuo Song - VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification Reading
Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang and Lun-Wei Ku
Alternate tracks:
Industry
- A Cluster-Based Nearest Neighbor Matching Algorithm for Enhanced A/A Validation in Online Experimentation
Yan He, Lin Yu, Miao Chen, William Choi and Don Matheson - A Multi-Task Learning Approach for Delayed Feedback Modeling
Zhigang Huangfu, Gong-Duo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou and Jinjie Gu - An Exploratory Study of Stock Price Movements from Earnings Calls (long paper)
Sourav Medya, Mohammad Rasoolinejad, Yang Yang and Brian Uzzi - Beyond NDCG: behavioral testing of recommender systems with RecList
Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He and Brian Ko - Cyclic Arbitrage in Decentralized Exchanges (long paper)
Ye Wang, Yan Chen, Haotian Wu, Liyi Zhou, Shuiguang Deng and Roger Wattenhofer - DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval (long paper)
Chenchen Feng, Yu He, Shiyang Wen, Guojun Liu, Liang Wang, Jian Xu and Bo Zheng - DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction
Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng and Trishul Chilimbi - Deriving Customer Experience Implicitly from Social Media Data
Aditya Kumar, Sneh Gupta, Ankit Sahu and Mayank Kant - Fair Effect Attribution in Parallel Online Experiments
Alexander Buchholz, Fabian Moerchen, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein and Matteo Ruffini - FastClip: An Efficient Video Understanding System with Heterogeneous Computing and Coarse-to-fine Processing
Liming Zhao, Siyang Sun, Yanhao Zhang, Yun Zheng and Pan Pan - Informative Integrity Frictions in Social Networks
Luis Garcia Pueyo, Samantha Guthrie, Baoxuan Xu and Bernardo Santana Schwarz - Modeling Position Bias Ranking for Streaming Media Services
Matteo Ruffini, Yannik Stein, Alexander Buchholz, Giuseppe Di Benedetto and Vito Bellini - Multi-task Ranking with User Behaviors for Text-Video Search
Peidong Liu, Dongliang Liao, Jinpeng Wang, Yangxin Wu, Gongfu Li, Shu-Tao Xia and Jin Xu - Multilingual Semantic Sourcing using Product Images for Cross-lingual Alignment (long paper)
Sourab Mangrulkar, Ankith M S and Vivek Sembium - On Reliability Scores for Knowledge Graphs
Thomas Grubb, Bill Andersen and Omar Alonso - PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao and Xiuqiang He - Personalized Complementary Product Recommendation
An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun and Julian Mcauley - Privacy-Preserving Methods for Repeated Measures Experiments
Kevin Liou, Wenjing Zheng and Sathya Anand - ROSE: Robust Caches for Amazon Product Search
Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song and Yin Bing - Search Filter Ranking with Language-Aware Label Embeddings
Jacek Golebiowski, Felice Antonio Merra, Ziawasch Abedjan and Felix Biessmann - Semantic IR fused Heterogeneous Graph Model in Tag-based Video Search
Liming Gao, Dongliang Liao, Gongfu Li, Jin Xu and Hankz Hankui Zhuo - Short, Colorful, and Irreverent! A Comparative Analysis of New Users on WallstreetBets During the Gamestop Short-squeeze (long paper)
Ehsan Ul Haq, Tristan Braud, Lik Hang Lee, Anish Krishna Vallapuram, Yue Yu, Gareth Tyson and Pan Hui - Spot Virtual Machine Eviction Prediction in Microsoft Cloud
Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin and Dongmei Zhang - Unsupervised Customer Segmentation with Knowledge Graph Embeddings
Sumit Pai, Fiona Brennan, Adrianna Janik, Teutly Correia and Luca Costabello - WISE: Wavelet based Interpretable Stock Embedding for Risk-Sensitive Portfolio Management (long paper)
Mengying Zhu, Yan Wang, Fei Wu, Mengyuan Yang, Cheng Chen, Qianqiao Liang and Xiaolin Zheng
Journal
- Cross-Site Prediction on Social Influence for Cold-Start Users in Online Social Networks
Qingyuan Gong, Yang Chen, Xinlei He, Yu Xiao, Pan Hui, Xin Wang, Xiaoming Fu - Exploiting Anomalous Structural Change-based Nodes in Generalized Dynamic Social Networks
Huan Wang, Chunming Qiao, Xuan Guo, Lei Fang, Ying Sha, Zhiguo Gong - Who Has the Last Word? Understanding How to Sample Online Discussions
Gioia Boschi, Anthony P. Young, Sagar Joglekar, Chiara Cammarota, Nishanth Sastry
PhD Symposium
- Canonicalisation of SPARQL 1.1 Queries
Jaime Salas - Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing
Tin Kuculo - Enhancing Multilingual Accessibility of Question Answering over Knowledge Graphs
Aleksandr Perevalov - Enhancing Query Answer Completeness with Query Expansion based on Synonym Predicates
Emetis Niazmand - Geometric and Topological Inference for Deep Representations of Complex Networks
Baihan Lin - Interactions in information spread
Gaël Poux-Médard, Julien Velcin and Sabine Loudcher - Personal Knowledge Graphs: Use cases in e-learning platforms
Eleni Ilkou - Predicting SPARQL Query Dynamics
Alberto Moya Loustaunau - Towards Automated Technologies in the Referencing Quality of Wikidata
Seyed Amir Hosseini Beghaeiraveri - User Access Models to Event-Centric Information
Sara Abdollahi
Posters and Demos
- A Graph Temporal Information Learning Framework for Popularity Prediction
Caipiao Yang, Peng Bao, Rong Yan, Jianian Li and Xuanyan Li - A Two-stage User Intent Detection Model on Complicated Utterances with Multi-task Learning
Shuangyong Song, Xiangyan Chen, Chao Wang, Xiaoguang Yu, Jia Wang and Xiaodong He - COCTEAU: an Empathy-Based Tool for Decision-Making
Andrea Mauri, Andrea Tocchetti, Lorenzo Corti, Yen-Chia Hsu, Himanshu Verma and Marco Brambilla - Cross-Language Learning for Product Matching
Ralph Peeters and Christian Bizer - Demo: PhishChain: A Decentralized and Transparent System to Blacklist Phishing URLs
Shehan Edirimannage, Mohamed Nabeel, Charith Elvitigala and Chamath Keppitiyagama - Does Evidence from Peers Help Crowd Workers in Assessing Truthfulness?
Jiechen Xu, Lei Han, Shaoyang Fan, Shazia Sadiq and Gianluca Demartini - ECCE: Entity-centric Corpus Exploration Using Contextual Implicit Networks
Julian Schelb, Maud Ehrmann, Matteo Romanello and Andreas Spitz - Effectiveness of Data Augmentation to Identify Relevant Reviews for Product Question Answering
Kalyani Roy, Avani Goel and Pawan Goyal - From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer
Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen and Huajun Chen - Graph-level Semantic Matching model for Knowledge base Aggregate Question Answering
Ya Liu, Shaojuan Wu, Jiarui Zhang, Linyi Han, Xiaowang Zhang, Yongxin Yu and Zhiyong Feng - GraphReformCD: Graph Reformulation for Effective Community Detection in Real-World Graphs
Jiwon Hong, Dong-hyuk Seo, Jeewon Ahn and Sang-Wook Kim - GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries
Anoushka Vyas, Nurendra Choudhary, Mehrdad Khatir and Chandan K. Reddy - HybEx: A Hybrid Tool for Template Extraction
Julián Alarte and Josep Silva - Hypermedea: A Framework for Web (of Things) Agents
Victor Charpenay, Antoine Zimmermann, Olivier Boissier and Maxime Lefrançois - Know Your Victim: Tor Browser Setting Identification via Network Traffic Analysis
Chun-Ming Chang, Hsu-Chun Hsiao, Timothy Lynar and Tatsuya Mori - Knowledge Distillation for Discourse Relation Analysis
Congcong Jiang, Tieyun Qian and Bing Liu - Linking Streets in OpenStreetMap to Persons in Wikidata
Daria Gurtovoy and Simon Gottschalk - Multi-task GNN for Substitute Identification
Tong Jian, Fan Yang, Zhen Zuo, Wenbo Wang, Michinari Momma, Tong Zhao, Chaosheng Dong, Yan Gao and Yi Sun - Personal Attribute Prediction from Conversations
Yinan Liu, Hu Chen and Wei Shen - PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction
Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao and Xueqi Cheng - QAnswer: Towards question answering search over websites
Kunpeng Guo, Clement Defretiere, Dennis Diefenbach, Christophe Gravier and Antoine Gourru - QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings
Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen and Dinh Phung - Scriptoria: A Crowd-powered Music Transcription System
Ioannis Petros Samiotis, Christoph Lofi, Shaad Alaka, Cynthia C.S. Liem and Alessandro Bozzon - SHACL and ShEx in the Wild: A Community Survey on Validating Shapes Generation and Adoption
Kashif Rabbani, Matteo Lissandrini and Katja Hose - Supervised Contrastive Learning for Product Matching
Ralph Peeters and Christian Bizer - Technology Growth Ranking Using Temporal Graph Representation Learning
Daniel Cummings, Ashrita Brahmaroutu, Marcel Nassar and Nesreen Ahmed - Towards Knowledge-Driven Symptom Monitoring & Trigger Detection of Primary Headache Disorders
Mathias De Brouwer, Nicolas Vandenbussche, Bram Steenwinckel, Marija Stojchevska, Jonas Van Der Donckt, Vic Degraeve, Filip De Turck, Koen Paemeleire, Sofie Van Hoecke and Femke Ongenae - Towards Preserving Server-Side Privacy of On-Device Models
Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash Maharaj and Prashant Shenoy - Universal Graph Transformer Self-Attention Networks
Dai Quoc Nguyen, Tu Dinh Nguyen and Dinh Phung - Unsupervised Post-Time Fake Social Message Detection with Recommendation-aware Representation Learning
Shao-Ping Hsiao, Yu-Che Tsai and Cheng-Te Li - User Donations in Online Social Game Streaming: the Case of paid subscription in Twitch.tv
Jiajun Yu and Lu Jia - Using Schema.org and Solid for Linked Data-based Machine-to-Machine Sales Contract Conclusion
Xinni Wang, Christoph Braun, Andreas Both and Tobias Käfer - VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking
Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos and Reihaneh Rabbany - Web mining to inform locations of charging stations for electric vehicles
Philipp C. Hummler, Christof Naumzik and Stefan Feuerriegel - XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages
Tushar Abhishek, Shivprasad Sagare, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta and Vasudeva Varma
Web developer and W3C
- JSRehab: Weaning Common Web Interface Components from JavaScript Addiction
Romain Fouquet, Pierre Laperdrix and Romain Rouvoy - Walks in Cyberspace: Improving Web Browsing and Network Activity Analysis With 3D Live Graph Rendering
Lionel Tailhardat, Raphaël Troncy and Yoan Chabot - Web Audio Modules 2.0 an open Web Audio plugin standard
Michel Buffa, Shihing Ren, Owen Campbell, Tom Burns, Steven Yi, Jari Kleimola and Oliver Larkin - With One Voice: Composing a Travel Voice Assistant from Repurposed Models
Shachaf Poran, Gil Amsalem, Amit Beka and Dmitri Goldenberg