| 2021 | "Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19. Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou |
| 2021 | "Is it a Qoincidence?": An Exploratory Study of QAnon on Voat. Antonis Papasavva, Jeremy Blackburn, Gianluca Stringhini, Savvas Zannettou, Emiliano De Cristofaro |
| 2021 | "Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups. Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee |
| 2021 | #Twiti: Social Listening for Threat Intelligence. Hyejin Shin, Woochul Shim, Saebom Kim, Sol Lee, Yong Goo Kang, Yong Ho Hwang |
| 2021 | A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. Jiahuan Pei, Pengjie Ren, Maarten de Rijke |
| 2021 | A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang |
| 2021 | A Linguistic Study on Relevance Modeling in Information Retrieval. Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng |
| 2021 | A Longitudinal Study of Removed Apps in iOS App Store. Fuqi Lin, Haoyu Wang, Liu Wang, Xuanzhe Liu |
| 2021 | A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi |
| 2021 | A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen |
| 2021 | A Recommender System for Crowdsourcing Food Rescue Platforms. Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang |
| 2021 | A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. Yaqing Wang, Quanming Yao, James T. Kwok |
| 2021 | A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning. Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction. Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu |
| 2021 | A Workflow Analysis of Context-driven Conversational Recommendation. Shengnan Lyu, Arpit Rana, Scott Sanner, Mohamed Reda Bouadjenek |
| 2021 | AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun |
| 2021 | ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases. Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Ji Zhang, Jun Gao |
| 2021 | Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection. Chen Zhang, Hao Wang, Feijun Jiang, Hongzhi Yin |
| 2021 | Advanced Semantics for Commonsense Knowledge Extraction. Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum |
| 2021 | Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. Zhuoran Liu, Martha A. Larson |
| 2021 | Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding |
| 2021 | An Adversarial Imitation Click Model for Information Retrieval. Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu |
| 2021 | An Adversarial Transfer Network for Knowledge Representation Learning. Huijuan Wang, Shuangyin Li, Rong Pan |
| 2021 | An Alternative Cross Entropy Loss for Learning-to-Rank. Sebastian Bruch |
| 2021 | An Empirical Study of Real-World WebAssembly Binaries: Security, Languages, Use Cases. Aaron Hilbig, Daniel Lehmann, Michael Pradel |
| 2021 | An Experimental Study to Understand User Experience and Perception Bias Occurred by Fact-checking Messages. Sungkyu Park, Jamie Yejean Park, Hyojin Chin, Jeong-han Kang, Meeyoung Cha |
| 2021 | An Investigation of Identity-Account Inconsistency in Single Sign-On. Guannan Liu, Xing Gao, Haining Wang |
| 2021 | Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections. Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei, Donald P. Green |
| 2021 | Attent: Active Attributed Network Alignment. Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong |
| 2021 | Auction Design for ROI-Constrained Buyers. Negin Golrezaei, Ilan Lobel, Renato Paes Leme |
| 2021 | Auditing for Discrimination in Algorithms Delivering Job Ads. Basileal Imana, Aleksandra Korolova, John S. Heidemann |
| 2021 | AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long |
| 2021 | AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng |
| 2021 | Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning. Letian Zhang, Lixing Chen, Jie Xu |
| 2021 | Automated Creative Optimization for E-Commerce Advertising. Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng |
| 2021 | Automatic Intent-Slot Induction for Dialogue Systems. Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen |
| 2021 | BBR Bufferbloat in DASH Video. Santiago Vargas, Rebecca Drucker, Aiswarya Renganathan, Aruna Balasubramanian, Anshul Gandhi |
| 2021 | BRIGHT: A Bridging Algorithm for Network Alignment. Yuchen Yan, Si Zhang, Hanghang Tong |
| 2021 | Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su |
| 2021 | Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li |
| 2021 | Bid Prediction in Repeated Auctions with Learning. Gali Noti, Vasilis Syrgkanis |
| 2021 | Bidirectional Distillation for Top-K Recommender System. Wonbin Kweon, SeongKu Kang, Hwanjo Yu |
| 2021 | Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus. Vinh Nguyen, Hong Yung Yip, Olivier Bodenreider |
| 2021 | Boosting the Speed of Entity Alignment 10 ×: Dual Attention Matching Network with Normalized Hard Sample Mining. Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan |
| 2021 | Bridging the Gap between von Neumann Graph Entropy and Structural Information: Theory and Applications. Xuecheng Liu, Luoyi Fu, Xinbing Wang |
| 2021 | BrowseLite: A Private Data Saving Solution for the Web. Conor Kelton, Matteo Varvello, Andrius Aucinas, Ben Livshits |
| 2021 | CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining. Zhuoyi Wang, Yuqiao Chen, Chen Zhao, Yu Lin, Xujiang Zhao, Hemeng Tao, Yigong Wang, Latifur Khan |
| 2021 | Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests. Yuan Yuan, Kristen M. Altenburger, Farshad Kooti |
| 2021 | Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu |
| 2021 | Chinese Wall or Swiss Cheese? Keyword filtering in the Great Firewall of China. Zachary Weinberg, Diogo Barradas, Nicolas Christin |
| 2021 | CoResident Evil: Covert Communication In The Cloud With Lambdas. Anil Yelam, Shibani Subbareddy, Keerthana Ganesan, Stefan Savage, Ariana Mirian |
| 2021 | ColChain: Collaborative Linked Data Networks. Christian Aebeloe, Gabriela Montoya, Katja Hose |
| 2021 | Collaborative Filtering with Preferences Inferred from Brain Signals. Keith M. Davis III, Michiel M. A. Spapé, Tuukka Ruotsalo |
| 2021 | ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks. Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang |
| 2021 | Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho |
| 2021 | Community Value Prediction in Social E-commerce. Guozhen Zhang, Yong Li, Yuan Yuan, Fengli Xu, Hancheng Cao, Yujian Xu, Depeng Jin |
| 2021 | Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations. Yujie Feng, Jiangtao Wang, Yasha Wang, Sumi Helal |
| 2021 | Computing Views of OWL Ontologies for the Semantic Web. Jiaqi Li, Xuan Wu, Chang Lu, Wenxing Deng, Yizheng Zhao |
| 2021 | ConceptGuide: Supporting Online Video Learning with Concept Map-based Recommendation of Learning Path. Chien-Lin Tang, Jingxian Liao, Hao-Chuan Wang, Ching-Ying Sung, Wen-Chieh Lin |
| 2021 | Consistent Sampling Through Extremal Process. Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao |
| 2021 | Constructing Explainable Opinion Graphs from Reviews. Nofar Carmeli, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Yuliang Li, Jinfeng Li, Wang-Chiew Tan |
| 2021 | Constructing a Comparison-based Click Model for Web Search. Ruizhe Zhang, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2021 | Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary. Mohammadzaman Zamani, H. Andrew Schwartz |
| 2021 | Controllable Gradient Item Retrieval. Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He |
| 2021 | Controllable and Diverse Text Generation in E-commerce. Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher |
| 2021 | Controlling the Risk of Conversational Search via Reinforcement Learning. Zhenduo Wang, Qingyao Ai |
| 2021 | Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations. Jiajun Bao, Junjie Wu, Yiming Zhang, Eshwar Chandrasekharan, David Jurgens |
| 2021 | Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels. Mohammadreza Qaraei, Erik Schultheis, Priyanshu Gupta, Rohit Babbar |
| 2021 | Cookie Swap Party: Abusing First-Party Cookies for Web Tracking. Quan Chen, Panagiotis Ilia, Michalis Polychronakis, Alexandros Kapravelos |
| 2021 | CoopEdge: A Decentralized Blockchain-based Platform for Cooperative Edge Computing. Liang Yuan, Qiang He, Siyu Tan, Bo Li, Jiangshan Yu, Feifei Chen, Hai Jin, Yun Yang |
| 2021 | Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong |
| 2021 | Cross-Positional Attention for Debiasing Clicks. Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen |
| 2021 | Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li |
| 2021 | Cross-lingual Language Model Pretraining for Retrieval. Puxuan Yu, Hongliang Fei, Ping Li |
| 2021 | Crosslingual Topic Modeling with WikiPDA. Tiziano Piccardi, Robert West |
| 2021 | CrowdGP: a Gaussian Process Model for Inferring Relevance from Crowd Annotations. Dan Li, Zhaochun Ren, Evangelos Kanoulas |
| 2021 | CurGraph: Curriculum Learning for Graph Classification. Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi |
| 2021 | Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer |
| 2021 | DAPter: Preventing User Data Abuse in Deep Learning Inference Services. Hao Wu, Xuejin Tian, Yuhang Gong, Xing Su, Minghao Li, Fengyuan Xu |
| 2021 | DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi |
| 2021 | DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior. Patara Trirat, Jae-Gil Lee |
| 2021 | DGCN: Diversified Recommendation with Graph Convolutional Networks. Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li |
| 2021 | DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge. Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, Bin He |
| 2021 | DYMOND: DYnamic MOtif-NoDes Network Generative Model. Giselle Zeno, Timothy La Fond, Jennifer Neville |
| 2021 | Data Poisoning Attacks and Defenses to Crowdsourcing Systems. Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu |
| 2021 | Debiasing Career Recommendations with Neural Fair Collaborative Filtering. Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds |
| 2021 | Deep Co-Attention Network for Multi-View Subspace Learning. Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He |
| 2021 | DeepFEC: Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities. Sayda Elmi, Kian-Lee Tan |
| 2021 | DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. Jialiang Han, Yun Ma, Qiaozhu Mei, Xuanzhe Liu |
| 2021 | DeepVista: 16K Panoramic Cinema on Your Mobile Device. Wenxiao Zhang, Feng Qian, Bo Han, Pan Hui |
| 2021 | Deepfake Videos in the Wild: Analysis and Detection. Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath |
| 2021 | Demystifying Illegal Mobile Gambling Apps. Yuhao Gao, Haoyu Wang, Li Li, Xiapu Luo, Guoai Xu, Xuanzhe Liu |
| 2021 | Density-Ratio Based Personalised Ranking from Implicit Feedback. Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh |
| 2021 | Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges. Friedhelm Victor, Andrea Marie Weintraud |
| 2021 | Dialect Diversity in Text Summarization on Twitter. Vijay Keswani, L. Elisa Celis |
| 2021 | Disentangling User Interest and Conformity for Recommendation with Causal Embedding. Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin |
| 2021 | Dissecting Performance of Production QUIC. Alexander Yu, Theophilus A. Benson |
| 2021 | Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis. Liantao Ma, Xinyu Ma, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Chaohe Zhang, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang |
| 2021 | Diverse and Specific Clarification Question Generation with Keywords. Zhiling Zhang, Kenny Q. Zhu |
| 2021 | Diversification-Aware Learning to Rank using Distributed Representation. Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky |
| 2021 | Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective. Paul Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Mehul Parsana |
| 2021 | Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao |
| 2021 | Drug Package Recommendation via Interaction-aware Graph Induction. Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen |
| 2021 | Dual Side Deep Context-aware Modulation for Social Recommendation. Bairan Fu, Wenming Zhang, Guangneng Hu, Xinyu Dai, Shujian Huang, Jiajun Chen |
| 2021 | Dynamic Embeddings for Interaction Prediction. Zekarias T. Kefato, Sarunas Girdzijauskas, Nasrullah Sheikh, Alberto Montresor |
| 2021 | ECLARE: Extreme Classification with Label Graph Correlations. Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma |
| 2021 | ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models. Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum |
| 2021 | Effective Named Entity Recognition with Boundary-aware Bidirectional Neural Networks. Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Dandan Song, Jing Xu |
| 2021 | Effective and Scalable Clustering on Massive Attributed Graphs. Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao |
| 2021 | Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration. Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov, Yulin Shen |
| 2021 | Efficient Non-Sampling Knowledge Graph Embedding. Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang |
| 2021 | Efficient Probabilistic Truss Indexing on Uncertain Graphs. Zitan Sun, Xin Huang, Jianliang Xu, Francesco Bonchi |
| 2021 | Efficient Reductions and a Fast Algorithm of Maximum Weighted Independent Set. Mingyu Xiao, Sen Huang, Yi Zhou, Bolin Ding |
| 2021 | Elo-MMR: A Rating System for Massive Multiplayer Competitions. Aram Ebtekar, Paul Liu |
| 2021 | Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu |
| 2021 | Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network. Takuma Oda |
| 2021 | Estimation of Fair Ranking Metrics with Incomplete Judgments. Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz |
| 2021 | Evaluating the Rationales of Amateur Investors. Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2021 | Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah |
| 2021 | Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. Cheng Yang, Jiawei Liu, Chuan Shi |
| 2021 | Extracting Contextualized Quantity Facts from Web Tables. Vinh Thinh Ho, Koninika Pal, Simon Razniewski, Klaus Berberich, Gerhard Weikum |
| 2021 | FANCY: Human-centered, Deep Learning-based Framework for Fashion Style Analysis. Youngseung Jeon, Seungwan Jin, Kyungsik Han |
| 2021 | FINN: Feedback Interactive Neural Network for Intent Recommendation. Yatao Yang, Biyu Ma, Jun Tan, Hongbo Deng, Haikuan Huang, Zibin Zheng |
| 2021 | FM2: Field-matrixed Factorization Machines for Recommender Systems. Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores |
| 2021 | Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding. Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty |
| 2021 | Fair and Representative Subset Selection from Data Streams. Yanhao Wang, Francesco Fabbri, Michael Mathioudakis |
| 2021 | Fairness-Aware PageRank. Sotiris Tsioutsiouliklis, Evaggelia Pitoura, Panayiotis Tsaparas, Ilias Kleftakis, Nikos Mamoulis |
| 2021 | Fast Evaluation for Relevant Quantities of Opinion Dynamics. Wanyue Xu, Qi Bao, Zhongzhi Zhang |
| 2021 | FedPS: A Privacy Protection Enhanced Personalized Search Framework. Jing Yao, Zhicheng Dou, Ji-Rong Wen |
| 2021 | Few-Shot Graph Learning for Molecular Property Prediction. Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla |
| 2021 | Few-Shot Knowledge Validation using Rules. Michael Loster, Davide Mottin, Paolo Papotti, Jan Ehmüller, Benjamin Feldmann, Felix Naumann |
| 2021 | Few-shot Network Anomaly Detection via Cross-network Meta-learning. Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu |
| 2021 | Fine-Grained Urban Flow Prediction. Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann |
| 2021 | From Personal Data to Digital Legacy: Exploring Conflicts in the Sharing, Security and Privacy of Post-mortem Data. Jack Holt, James Nicholson, Jan David Smeddinck |
| 2021 | Future-Aware Diverse Trends Framework for Recommendation. Yujie Lu, Shengyu Zhang, Yingxuan Huang, Luyao Wang, Xinyao Yu, Zhou Zhao, Fei Wu |
| 2021 | GNEM: A Generic One-to-Set Neural Entity Matching Framework. Runjin Chen, Yanyan Shen, Dongxiang Zhang |
| 2021 | GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma |
| 2021 | Generalizing Discriminative Retrieval Models using Generative Tasks. Binsheng Liu, Hamed Zamani, Xiaolu Lu, J. Shane Culpepper |
| 2021 | Generating Accurate Caption Units for Figure Captioning. Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A. Rossi, Sana Malik, Tak Yeon Lee |
| 2021 | Graph Contrastive Learning with Adaptive Augmentation. Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang |
| 2021 | Graph Embedding for Recommendation against Attribute Inference Attacks. Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang |
| 2021 | Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah |
| 2021 | Graph Structure Estimation Neural Networks. Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie |
| 2021 | Graph Topic Neural Network for Document Representation. Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie |
| 2021 | Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang |
| 2021 | GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He |
| 2021 | HDMI: High-order Deep Multiplex Infomax. Baoyu Jing, Chanyoung Park, Hanghang Tong |
| 2021 | HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering. Jianing Sun, Zhaoyue Cheng, Saba Zuberi, Felipe Pérez, Maksims Volkovs |
| 2021 | HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. Song Jiang, Bernard Koch, Yizhou Sun |
| 2021 | Hashing-Accelerated Graph Neural Networks for Link Prediction. Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl |
| 2021 | Have You been Properly Notified? Automatic Compliance Analysis of Privacy Policy Text with GDPR Article 13. Shuang Liu, Baiyang Zhao, Renjie Guo, Guozhu Meng, Fan Zhang, Meishan Zhang |
| 2021 | Heterogeneous Graph Neural Network via Attribute Completion. Di Jin, Cuiying Huo, Chundong Liang, Liang Yang |
| 2021 | Hierarchical Personalized Federated Learning for User Modeling. Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou |
| 2021 | High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding. Yongxin Wang, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu |
| 2021 | High-dimensional Sparse Embeddings for Collaborative Filtering. Jan Van Balen, Bart Goethals |
| 2021 | Highly Liquid Temporal Interaction Graph Embeddings. Huidi Chen, Yun Xiong, Yangyong Zhu, Philip S. Yu |
| 2021 | How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators. Geon Lee, Minyoung Choe, Kijung Shin |
| 2021 | IFSpard: An Information Fusion-based Framework for Spam Review Detection. Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu |
| 2021 | Improving Cyberbullying Detection with User Interaction. Suyu Ge, Lu Cheng, Huan Liu |
| 2021 | Improving Graph Neural Networks with Structural Adaptive Receptive Fields. Xiaojun Ma, Junshan Wang, Hanyue Chen, Guojie Song |
| 2021 | Improving Neural Question Generation using Deep Linguistic Representation. Wei Yuan, Tieke He, Xinyu Dai |
| 2021 | Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction. Jingwen Zhang, Yuezhou Wu, Rong Pan |
| 2021 | Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong |
| 2021 | Incrementality Testing in Programmatic Advertising: Enhanced Precision with Double-Blind Designs. Joel Barajas, Narayan Bhamidipati |
| 2021 | Inductive Entity Representations from Text via Link Prediction. Daniel Daza, Michael Cochez, Paul Groth |
| 2021 | Information Elicitation from Rowdy Crowds. Grant Schoenebeck, Fang-Yi Yu, Yichi Zhang |
| 2021 | Information Extraction From Co-Occurring Similar Entities. Nicolas Heist, Heiko Paulheim |
| 2021 | Insightful Dimensionality Reduction with Very Low Rank Variable Subsets. Bruno Ordozgoiti, Sachith Pai, Marta Kolczynska |
| 2021 | Integrating Floor Plans into Hedonic Models for Rent Price Appraisal. Kirill Solovev, Nicolas Pröllochs |
| 2021 | Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong |
| 2021 | Interest-aware Message-Passing GCN for Recommendation. Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie |
| 2021 | Interpreting and Unifying Graph Neural Networks with An Optimization Framework. Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui |
| 2021 | Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial. Andreas Spitz, Ahmad Abu-Akel, Robert West |
| 2021 | It's Not Just the Site, It's the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts. Kailong Wang, Junzhe Zhang, Guangdong Bai, Ryan K. L. Ko, Jin Song Dong |
| 2021 | Itinerary-aware Personalized Deep Matching at Fliggy. Jia Xu, Ziyi Wang, Zulong Chen, Detao Lv, Yao Yu, Chuanfei Xu |
| 2021 | Joint Spatio-Textual Reasoning for Answering Tourism Questions. Danish Contractor, Shashank Goel, Mausam, Parag Singla |
| 2021 | Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries. Yizhu Liu, Qi Jia, Kenny Q. Zhu |
| 2021 | Knowledge Embedding Based Graph Convolutional Network. Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu |
| 2021 | Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang |
| 2021 | Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu |
| 2021 | LChecker: Detecting Loose Comparison Bugs in PHP. Penghui Li, Wei Meng |
| 2021 | Large-scale Comb-K Recommendation. Houye Ji, Junxiong Zhu, Chuan Shi, Xiao Wang, Bai Wang, Chaoyu Zhang, Zixuan Zhu, Feng Zhang, Yanghua Li |
| 2021 | Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective. Hao Fei, Yafeng Ren, Shengqiong Wu, Bobo Li, Donghong Ji |
| 2021 | Learning Dynamic User Behavior Based on Error-driven Event Representation. Honglian Wang, Peiyan Li, Wujun Tao, Bailin Feng, Junming Shao |
| 2021 | Learning Fair Representations for Recommendation: A Graph-based Perspective. Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang |
| 2021 | Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu |
| 2021 | Learning Intents behind Interactions with Knowledge Graph for Recommendation. Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua |
| 2021 | Learning Neural Point Processes with Latent Graphs. Qiang Zhang, Aldo Lipani, Emine Yilmaz |
| 2021 | Learning a Product Relevance Model from Click-Through Data in E-Commerce. Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan |
| 2021 | Learning from Graph Propagation via Ordinal Distillation for One-Shot Automated Essay Scoring. Zhiwei Jiang, Meng Liu, Yafeng Yin, Hua Yu, Zifeng Cheng, Qing Gu |
| 2021 | Leveraging Review Properties for Effective Recommendation. Xi Wang, Iadh Ounis, Craig Macdonald |
| 2021 | Leveraging User Behavior History for Personalized Email Search. Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun |
| 2021 | Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang |
| 2021 | Linguistically-Enriched and Context-AwareZero-shot Slot Filling. A. B. Siddique, Fuad T. Jamour, Vagelis Hristidis |
| 2021 | Local Clustering in Contextual Multi-Armed Bandits. Yikun Ban, Jingrui He |
| 2021 | Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, Maarten de Rijke |
| 2021 | Lorentzian Graph Convolutional Networks. Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song |
| 2021 | MATCH: Metadata-Aware Text Classification in A Large Hierarchy. Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han |
| 2021 | MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks. Yusi Zhang, Chuanjie Liu, Angen Luo, Hui Xue, Xuan Shan, Yuxiang Luo, Yiqian Xia, Yuanchi Yan, Haidong Wang |
| 2021 | MQuadE: a Unified Model for Knowledge Fact Embedding. Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li |
| 2021 | MStream: Fast Anomaly Detection in Multi-Aspect Streams. Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi |
| 2021 | Mask-GVAE: Blind Denoising Graphs via Partition. Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng |
| 2021 | Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang |
| 2021 | Maximizing Marginal Fairness for Dynamic Learning to Rank. Tao Yang, Qingyao Ai |
| 2021 | MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2021 | Meta-HAR: Federated Representation Learning for Human Activity Recognition. Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang |
| 2021 | MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments. Guangba Yu, Pengfei Chen, Hongyang Chen, Zijie Guan, Zicheng Huang, Linxiao Jing, Tianjun Weng, Xinmeng Sun, Xiaoyun Li |
| 2021 | Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han |
| 2021 | Mining Dual Emotion for Fake News Detection. Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, Kai Shu |
| 2021 | Mitigating Gender Bias in Captioning Systems. Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu |
| 2021 | Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz |
| 2021 | Mixup for Node and Graph Classification. Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi |
| 2021 | Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking. Prashanth Vijayaraghavan, Deb Roy |
| 2021 | Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes. Maximilian Nickel, Matthew Le |
| 2021 | Motif-Preserving Dynamic Attributed Network Embedding. Zhijun Liu, Chao Huang, Yanwei Yu, Junyu Dong |
| 2021 | Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks. Ahmet Erdem Sariyüce |
| 2021 | MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings. Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng |
| 2021 | Multi-Session Diversity to Improve User Satisfaction in Web Applications. Mohammadreza Esfandiari, Ria Mae Borromeo, Sepideh Nikookar, Paras Sakharkar, Sihem Amer-Yahia, Senjuti Basu Roy |
| 2021 | Multi-domain Dialogue State Tracking with Recursive Inference. Lizi Liao, Tongyao Zhu, Le Hong Long, Tat-Seng Chua |
| 2021 | Multi-level Connection Enhanced Representation Learning for Script Event Prediction. Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong, Chen Li |
| 2021 | Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks. Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Qing Meng, Wang Han, Jiuxin Cao |
| 2021 | Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction. Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu |
| 2021 | Multilingual COVID-QA: Learning towards Global Information Sharing via Web Question Answering in Multiple Languages. Rui Yan, Weiheng Liao, Jianwei Cui, Hailei Zhang, Yichuan Hu, Dongyan Zhao |
| 2021 | Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin |
| 2021 | NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2021 | Network of Tensor Time Series. Baoyu Jing, Hanghang Tong, Yada Zhu |
| 2021 | Neural Collaborative Reasoning. Hanxiong Chen, Shaoyun Shi, Yunqi Li, Yongfeng Zhang |
| 2021 | NeuroPose: 3D Hand Pose Tracking using EMG Wearables. Yilin Liu, Shijia Zhang, Mahanth Gowda |
| 2021 | Nonlinear Higher-Order Label Spreading. Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik |
| 2021 | Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy. Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean M. Tullsen, Hadi Esmaeilzadeh |
| 2021 | OCT-GAN: Neural ODE-based Conditional Tabular GANs. Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park |
| 2021 | On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui |
| 2021 | On the Feasibility of Automated Built-in Function Modeling for PHP Symbolic Execution. Penghui Li, Wei Meng, Kangjie Lu, Changhua Luo |
| 2021 | On the Value of Wikipedia as a Gateway to the Web. Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West |
| 2021 | One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework. Shahroz Tariq, Sangyup Lee, Simon S. Woo |
| 2021 | Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng |
| 2021 | Online Label Aggregation: A Variational Bayesian Approach. Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen |
| 2021 | Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance. Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak N. Patel, Alex Mariakakis, Tim Althoff |
| 2021 | OntoZSL: Ontology-enhanced Zero-shot Learning. Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen |
| 2021 | Outlier-Resilient Web Service QoS Prediction. Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang |
| 2021 | PARIMA: Viewport Adaptive 360-Degree Video Streaming. Lovish Chopra, Sarthak Chakraborty, Abhijit Mondal, Sandip Chakraborty |
| 2021 | PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. Bingyan Liu, Yao Guo, Xiangqun Chen |
| 2021 | PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. Yiling Jia, Huazheng Wang, Stephen D. Guo, Hongning Wang |
| 2021 | Partial-Softmax Loss based Deep Hashing. Rong-Cheng Tu, Xian-Ling Mao, Jia-Nan Guo, Wei Wei, Heyan Huang |
| 2021 | Pathfinder Discovery Networks for Neural Message Passing. Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi |
| 2021 | Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process. Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux |
| 2021 | Personalized Approximate Pareto-Efficient Recommendation. Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2021 | Personalized Treatment Selection using Causal Heterogeneity. Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar, Shaunak Chatterjee |
| 2021 | Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He |
| 2021 | Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang |
| 2021 | Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks. Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yong Li |
| 2021 | Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset. Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan R. Mayer |
| 2021 | Progressive, Holistic Geospatial Interlinking. George Papadakis, Georgios M. Mandilaras, Nikos Mamoulis, Manolis Koubarakis |
| 2021 | Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma |
| 2021 | Quiz-Style Question Generation for News Stories. Ádám D. Lelkes, Vinh Q. Tran, Cong Yu |
| 2021 | RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network. Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Manohar Kaul |
| 2021 | REST: Reciprocal Framework for Spatiotemporal-coupled Predictions. Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai |
| 2021 | REST: Relational Event-driven Stock Trend Forecasting. Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu |
| 2021 | RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs. Paolo Rosso, Dingqi Yang, Natalia Ostapuk, Philippe Cudré-Mauroux |
| 2021 | RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks. Tianhao Wang, Florian Kerschbaum |
| 2021 | Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. Xing Zhao, Ziwei Zhu, James Caverlee |
| 2021 | Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series. Alasdair Tran, Alexander Patrick Mathews, Cheng Soon Ong, Lexing Xie |
| 2021 | Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg |
| 2021 | Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. Bibek Paudel, Abraham Bernstein |
| 2021 | ReACt: A Resource-centric Access Control System for Web-app Interactions on Android. Xin Zhang, Yifan Zhang |
| 2021 | Reinforcement Recommendation with User Multi-aspect Preference. Xu Chen, Yali Du, Long Xia, Jun Wang |
| 2021 | RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. Cheng Hsu, Cheng-Te Li |
| 2021 | Revisiting the Evaluation Protocol of Knowledge Graph Completion Methods for Link Prediction. Sudhanshu Tiwari, Iti Bansal, Carlos R. Rivero |
| 2021 | Robust Android Malware Detection against Adversarial Example Attacks. Heng Li, Shiyao Zhou, Wei Yuan, Xiapu Luo, Cuiying Gao, Shuiyan Chen |
| 2021 | Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank. Harrie Oosterhuis, Maarten de Rijke |
| 2021 | Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin |
| 2021 | Role-Aware Modeling for N-ary Relational Knowledge Bases. Yu Liu, Quanming Yao, Yong Li |
| 2021 | Rumor Detection with Field of Linear and Non-Linear Propagation. An Lao, Chongyang Shi, Yayi Yang |
| 2021 | SDFVAE: Static and Dynamic Factorized VAE for Anomaly Detection of Multivariate CDN KPIs. Liang Dai, Tao Lin, Chang Liu, Bo Jiang, Yanwei Liu, Zhen Xu, Zhi-Li Zhang |
| 2021 | SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization. Dongsong Yu, Guangliang Yang, Guozhu Meng, Xiaorui Gong, Xiu Zhang, Xiaobo Xiang, Xiaoyu Wang, Yue Jiang, Kai Chen, Wei Zou, Wenke Lee, Wenchang Shi |
| 2021 | STAN: Spatio-Temporal Attention Network for Next Location Recommendation. Yingtao Luo, Qiang Liu, Zhaocheng Liu |
| 2021 | STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility. Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li |
| 2021 | STruD: Truss Decomposition of Simplicial Complexes. Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi |
| 2021 | SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He |
| 2021 | Scalable Auto-weighted Discrete Multi-view Clustering. Longqi Yang, Liangliang Zhang, Yuhua Tang |
| 2021 | Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice. Sebastian Cross, Ahmed Mourad, Guido Zuccon, Bevan Koopman |
| 2021 | Searching to Sparsify Tensor Decomposition for N-ary Relational Data. Shimin Di, Quanming Yao, Lei Chen |
| 2021 | Security of Alerting Authorities in the WWW: Measuring Namespaces, DNSSEC, and Web PKI. Pouyan Fotouhi Tehrani, Eric Osterweil, Jochen H. Schiller, Thomas C. Schmidt, Matthias Wählisch |
| 2021 | Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy |
| 2021 | Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy |
| 2021 | Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang |
| 2021 | Semi-Open Information Extraction. Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang |
| 2021 | Separ: Towards Regulating Future of Work Multi-Platform Crowdworking Environments with Privacy Guarantees. Mohammad Javad Amiri, Joris Duguépéroux, Tristan Allard, Divyakant Agrawal, Amr El Abbadi |
| 2021 | Session-aware Linear Item-Item Models for Session-based Recommendation. Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee |
| 2021 | Sinkhorn Collaborative Filtering. Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong |
| 2021 | Situation and Behavior Understanding by Trope Detection on Films. Chen-Hsi Chang, Hung-Ting Su, Juiheng Hsu, Yu-Siang Wang, Yu-Cheng Chang, Zhe Yu Liu, Ya-Liang Chang, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu |
| 2021 | Sketch-based Algorithms for Approximate Shortest Paths in Road Networks. Gaurav Aggarwal, Sreenivas Gollapudi, Raghavender, Ali Kemal Sinop |
| 2021 | Slot Self-Attentive Dialogue State Tracking. Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz |
| 2021 | Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks. Mingqi Yang, Yanming Shen, Heng Qi, Baocai Yin |
| 2021 | SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar |
| 2021 | Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh |
| 2021 | Stochastic bandits for multi-platform budget optimization in online advertising. Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers |
| 2021 | Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich |
| 2021 | Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang |
| 2021 | Superways: A Datacenter Topology for Incast-heavy workloads. Hamed Rezaei, Balajee Vamanan |
| 2021 | Surrounded by the Clouds: A Comprehensive Cloud Reachability Study. Lorenzo Corneo, Maximilian Eder, Nitinder Mohan, Aleksandr Zavodovski, Suzan Bayhan, Walter Wong, Per Gunningberg, Jussi Kangasharju, Jörg Ott |
| 2021 | TCN: Table Convolutional Network for Web Table Interpretation. Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang |
| 2021 | TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec |
| 2021 | TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints. Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser, Chen Ling |
| 2021 | TLS 1.3 in Practice: How TLS 1.3 Contributes to the Internet. Hyunwoo Lee, Doowon Kim, Yonghwi Kwon |
| 2021 | Target-adaptive Graph for Cross-target Stance Detection. Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He, Ruifeng Xu |
| 2021 | Task-adaptive Neural Process for User Cold-Start Recommendation. Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang |
| 2021 | Taxonomy-aware Learning for Few-Shot Event Detection. Jianming Zheng, Fei Cai, Wanyu Chen, Wengqiang Lei, Honghui Chen |
| 2021 | Temporal Analysis of the Entire Ethereum Blockchain Network. Lin Zhao, Sourav Sen Gupta, Arijit Khan, Robby Luo |
| 2021 | TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Tianqi Yang, Liangjie Zhang, Ruofei Zhang, Huasha Zhao |
| 2021 | The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms. Ping Liu, Karthik Shivaram, Aron Culotta, Matthew A. Shapiro, Mustafa Bilgic |
| 2021 | The Structure of Toxic Conversations on Twitter. Martin Saveski, Brandon Roy, Deb Roy |
| 2021 | The Surprising Performance of Simple Baselines for Misinformation Detection. Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany |
| 2021 | Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. Qingqing Long, Yilun Jin, Yi Wu, Guojie Song |
| 2021 | Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding. Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim |
| 2021 | Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He |
| 2021 | Touch Screen Exploration of Visual Artwork for Blind People. Dragan Ahmetovic, Nahyun Kwon, Uran Oh, Cristian Bernareggi, Sergio Mascetti |
| 2021 | Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen |
| 2021 | Towards Efficient Auctions in an Auto-bidding World. Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo |
| 2021 | Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach. Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff |
| 2021 | Towards Realistic and ReproducibleWeb Crawl Measurements. Jordan Jueckstock, Shaown Sarker, Peter Snyder, Aidan Beggs, Panagiotis Papadopoulos, Matteo Varvello, Benjamin Livshits, Alexandros Kapravelos |
| 2021 | Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX. Kyle Soska, Jin-Dong Dong, Alex Khodaverdian, Ariel Zetlin-Jones, Bryan R. Routledge, Nicolas Christin |
| 2021 | Towards Understanding and Demystifying Bitcoin Mixing Services. Lei Wu, Yufeng Hu, Yajin Zhou, Haoyu Wang, Xiapu Luo, Zhi Wang, Fan Zhang, Kui Ren |
| 2021 | Towards a Better Understanding of Query Reformulation Behavior in Web Search. Jia Chen, Jiaxin Mao, Yiqun Liu, Fan Zhang, Min Zhang, Shaoping Ma |
| 2021 | Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning. William Melicher, Clement Fung, Lujo Bauer, Limin Jia |
| 2021 | Trav-SHACL: Efficiently Validating Networks of SHACL Constraints. Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal |
| 2021 | Twin Peaks, a Model for Recurring Cascades. Matteo Almanza, Silvio Lattanzi, Alessandro Panconesi, Giuseppe Re |
| 2021 | Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out. Peiran Yao, Denilson Barbosa |
| 2021 | UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao |
| 2021 | Understanding User Sensemaking in Machine Learning Fairness Assessment Systems. Ziwei Gu, Jing Nathan Yan, Jeffrey M. Rzeszotarski |
| 2021 | Understanding the Complexity of Detecting Political Ads. Vera Sosnovik, Oana Goga |
| 2021 | Understanding the Impact of Encrypted DNS on Internet Censorship. Lin Jin, Shuai Hao, Haining Wang, Chase Cotton |
| 2021 | Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision. Ye Li, Hong Xie, Yishi Lin, John C. S. Lui |
| 2021 | Unsupervised Lifelong Learning with Curricula. Yi He, Sheng Chen, Baijun Wu, Xu Yuan, Xindong Wu |
| 2021 | Unsupervised Multi-Index Semantic Hashing. Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma |
| 2021 | Unsupervised Semantic Association Learning with Latent Label Inference. Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao |
| 2021 | User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users. Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos |
| 2021 | User-oriented Fairness in Recommendation. Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang |
| 2021 | UserSim: User Simulation via Supervised GenerativeAdversarial Network. Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang |
| 2021 | Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang |
| 2021 | Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong |
| 2021 | Variation Control and Evaluation for Generative Slate Recommendations. Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang |
| 2021 | Verdi: Quality Estimation and Error Detection for Bilingual Corpora. Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang |
| 2021 | WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia |
| 2021 | Wait, Let's Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases. Yunha Han, Hwiyeon Kim, Hyeshin Chu, Joohee Kim, Hyunwook Lee, Seunghyeong Choe, Dooyoung Jung, Dongil Chung, Bum Chul Kwon, Sungahn Ko |
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| 2021 | Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates. Haozhe Qin, Jiangang Zhu, Beijun Shen |
| 2021 | WebSocket Adoption and the Landscape of the Real-Time Web. Paul Murley, Zane Ma, Joshua Mason, Michael D. Bailey, Amin Kharraz |
| 2021 | Whale Watching in Inland Indonesia: Analyzing a Small, Remote, Internet-Based Community Cellular Network. Matthew Johnson, Jenny T. Liang, Michelle Lin, Sudheesh Singanamalla, Kurtis Heimerl |
| 2021 | What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang, Alessandro Bozzon |
| 2021 | Where To Next? A Dynamic Model of User Preferences. Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson, Mounia Lalmas |
| 2021 | Where are you taking me?Understanding Abusive Traffic Distribution Systems. Janos Szurdi, Meng Luo, Brian Kondracki, Nick Nikiforakis, Nicolas Christin |
| 2021 | Wiki2Prop: A Multimodal Approach for Predicting Wikidata Properties from Wikipedia. Michael Luggen, Julien Audiffren, Djellel Eddine Difallah, Philippe Cudré-Mauroux |
| 2021 | WiseKG: Balanced Access to Web Knowledge Graphs. Amr Azzam, Christian Aebeloe, Gabriela Montoya, Ilkcan Keles, Axel Polleres, Katja Hose |
| 2021 | WiseTrans: Adaptive Transport Protocol Selection for Mobile Web Service. Jia Zhang, Enhuan Dong, Zili Meng, Yuan Yang, Mingwei Xu, Sijie Yang, Miao Zhang, Yang Yue |
| 2021 | XY-Sketch: on Sketching Data Streams at Web Scale. Yongqiang Liu, Xike Xie |