Accepted Research Papers

Papers are clustered by conference sessions. Program is available here.


235: Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications

Jina Suh (University of Washington, Microsoft Research), Eric Horvitz (Microsoft Research), Ryen White (Microsoft Research), Tim Althoff (University of Washington)

465: Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging

Muhammad Ali (Northeastern University), Piotr Sapiezynski (Northeastern University), Aleksandra Korolova (University of Southern California), Alan Mislove (Northeastern University), Aaron Rieke (Upturn, Inc)

479: Towards Ordinal Suicide Ideation Detection on Social Media

Ramit Sawhney (IIIT Delhi), Harshit Joshi (Cluster Innovation Center), Saumya Gandhi (Visvesvaraya National Institute Of Technology), Rajiv Shah (IIIT Delhi)


493: Semi-Supervised Text Classification via Self-Pretraining

Payam Karisani (Emory University), Negin Karisani (Purdue University)

134: DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents

Kunal Dahiya (Indian Institute of Technology Delhi), Deepak Saini (Microsoft Research India), Anshul Mittal (Indian Institute of Technology Delhi), Ankush Shaw (Indian Institute of Technology Delhi), Kushal Dave (Microsoft), Akshay Soni (Microsoft), Himanshu Jain (Indian Institute of Technology Delhi), Sumeet Agarwal (IIT Delhi), Manik Varma (Microsoft)

87: DECAF: Deep Extreme Classification with Label Features

Anshul Mittal (Indian Institute of Technology Delhi), Kunal Dahiya (Indian Institute of Technology Delhi), Sheshansh Agrawal (Microsoft Research), Deepak Saini (Microsoft Research), Sumeet Agarwal (Indian Institute of Technology Delhi), Manik Varma (Microsoft Research), Purushottam Kar (Microsoft Research)

306: Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce

Junhao Zhang, Weidi Xu, Jianhui Ji, Xi Chen, Hongbo Deng, Keping Yang (Alibaba Group)

312: On the impact of predicate complexity in crowdsourced classification tasks

Jorge Ramírez (University of Trento), Marcos Baez (Université Claude Bernard Lyon 1), Fabio Casati (Tomsk Polytechnic University), Luca Cernuzzi (DEI - Universidad Católica), Boualem Benatallah (The University of New South Wales), Ekaterina A. Taran (Tomsk Polytechnic University), Veronika A. Malanina (Tomsk Polytechnic University)

107: Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems

Zhe Chen, Yuyan Wang, Dong Lin, Zhiyuan Cheng, Lichan Hong, Ed Chi, Claire Cui (GOOGLE)

Recommender Systems

508: Popularity-Opportunity Bias in Collaborative Filtering

Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee (Texas A&M University)

609: A Black-Box Attack Model for Visually-Aware Recommenders

Rami Cohen (Intuit), Oren Sar Shalom (Bar Ilan University), Dietmar Jannach (University of Klagenfurt), Amihood Amir (Bar-Ilan University and Johns Hopkins University)

634: Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users

Roger Zhe Li, Julián Urbano, Alan Hanjalic (Delft University of Technology)

246: Real-time Relevant Recommendation Suggestion

Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin (WeChat Search Application Department, Tencent)

622: User Response Models to Improve a REINFORCE Recommender System

Minmin Chen, Bo Chang, Can Xu, Ed Chi (Google)

155: Diverse User Preference Elicitation with Multi-Armed Bandits

Javier Parapar, Filip Radlinski (Google)


513: RePBubLik: Reducing Polarized Bubble Radius with Link Insertions

Shahrzad Haddadan (Brown university), Cristina Menghini (Sapienza University), Matteo Riondato (Amherst College), Eli Upfal (Brown University)

566: Node Similarity Preserving Graph Convolutional Networks

Wei Jin (Michigan State University), Tyler Derr (Vanderbilt University), Yiqi Wang (Michigan State University), Yao Ma (Michigan State University), Zitao Liu (TAL Education Group), Jiliang Tang (Michigan State University)

405: BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks

Di Jin (Tianjin University), Xiangchen Song (University of Illinois at Urbana-Champaign), Zhizhi Yu (Tianjin University), Ziyang Liu (, Heling Zhang (University of Illinois at Urbana-Champaign), Zhaomeng Cheng (, Jiawei Han (University of Illinois at Urbana-Champaign)

501: Deconfounding with Networked Observational Data in a Dynamic Environment

Jing Ma (University of Virginia), Ruocheng Guo (Arizona State University), Chen Chen (Google Inc), Aidong Zhang (University of Virginia), Jundong Li (University of Virginia)

439: Balanced Influence Maximization in the Presence of Homophily

Md Sanzeed Anwar, Martin Saveski, Deb Roy (Massachusetts Institute of Technology)

345: Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network

Yuanzhen Xie (Sun-Yat Sen University), Zijing Ou (Sun-Yat Sen University), Liang Chen (Sun-Yat Sen University), Yang Liu (Sun-Yat Sen University), Kun Xu (South China Normal University), Carl Yang (Emory University), Zibin Zheng (Sun-Yat Sen University)


337: A/B Testing, Controlled Experiments, Surrogate Metrics

Weitao Duan, Shan Ba, Chunzhe Zhang (LinkedIn Corporation)

421: CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments

Weinan Wang, Xi Zhang (Snap Inc.)

532: Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction

Shuxi Zeng (Duke University), Joel Pfeiffer (Microsoft), Murat Bayir (Microsoft), Denis Charles (Microsoft), Emre Kiciman (Microsoft)


12: Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records

Jiatu Shi (Alibaba Group), Huaxiu Yao (The Pennsylvania State University), Xian Wu (University of Notre Dame), Tong Li (Alibaba Group), Zedong Lin (Alibaba Group), Tengfei Wang (Alibaba Group), Binqiang Zhao (Alibaba Group), Zhenhui Li (The Pennsylvania State University)

80: Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets

Ting Liang (Alibaba Group), Guanxiong Zeng (Alibaba Group), Qiwei Zhong (Alibaba Group), Jianfeng Chi (Alibaba Group), Jinghua Feng (Ailbaba Group), Xiang Ao (Institute of Computing Technology, CAS), Jiayu Tang (Ailbaba Group)

412: Shifting Consumption towards Diverse Content on Music Streaming Platforms

Christian Hansen (University of Copenhagen), Rishabh Mehrotra (Spotify Research), Casper Hansen (University of Copenhagen), Brian Brost (Spotify), Lucas Maystre (Spotify), Mounia Lalmas (Spotify)

Clustering and Representation Learning

200: Chebyshev Accelerated Spectral Clustering

Tianyu Yu, Yonghua Zhao, Rongfeng Huang, Shifang Liu, Xinyin Zhang (Computer Network Information Center, Chinese Achedmy of Sciences)

567: Theoretical Understandings of Product Embedding for E-commerce Machine Learning

Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan (Walmart Labs)

64: Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation

Bowen Hao (Renmin University of China), Jing Zhang (Renmin University of China), Hongzhi Yin (The University of Queensland), Cuiping Li (Renmin University of China), Hong Chen (Renmin University of China)

242: Long-Term Effect Estimation with Surrogate Representation

Lu Cheng, Ruocheng Guo, Huan Liu (Arizona State University)

419: PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval

Xinyu Ma (UCAS), Jiafeng Guo (Institute of Computing Technology), Ruqing Zhang (CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences), Yixing Fan (ict), Xiang Ji (UCAS), Xueqi Cheng (Institute of Computing Technology, CAS, P. R. China)

253: Bilateral Variational Autoencoder for Collaborative Filtering

Quoc-Tuan Truong (Singapore Management University), Aghiles Salah (School of Information Systems, Singapore Management University), Hady Lauw (Singapore Management University)

Web Analysis

488: Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study

Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Cliff Brunk, Andrew Tomkins (Google Research)

229: Generating Tips from Product Reviews

Sharon Hirsch, Slava Novgorodov, Ido Guy, Alexander Nus (eBay Research)

470: Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning

Seungbae Kim, Jyun-Yu Jiang, Wei Wang (University of California, Los Angeles)

611: Quotebank: A Corpus of Quotations from a Decade of News

Timoté Vaucher (Ecole Polytechnique Fédérale de Lausanne), Andreas Spitz (Ecole Polytechnique Fédérale de Lausanne), Michele Catasta (Stanford University), Robert West (Ecole Polytechnique Fédérale de Lausanne)

237: Abstractive Opinion Tagging

Qintong Li (Shandong University), Piji Li (Tencent AI Lab), Xinyi Li (National University of Defense Technology), Zhumin Chen (Shandong University), Zhaochun Ren (Shandong University), Maarten de Rijke (University of Amsterdam & Ahold Delhaize)

380: Contextualizing Trending Entities in News Stories

Marco Ponza (Bloomberg LP), Diego Ceccarelli (Bloomberg LP), Paolo Ferragina (University of Pisa), Edgar Meij (Bloomberg L.P.), Sambhav Kothari (Bloomberg LP)

Search and Recommendation

586: Question Rewriting for Conversational Question Answering

Svitlana Vakulenko (University of Amsterdam), Shayne Longpre (Apple Inc.), Zhucheng Tu (Apple Inc.), Raviteja Anantha (Apple Inc.)

101: Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation

Kerui Xu (Beijing University of Posts and Telecommunications), Jingxuan Yang (Beijing University of Posts and Telecommunications), Jun Xu (Gaoling School of Artificial Intelligence, Renmin University of China), Sheng Gao (Beijing University of Posts and Telecommunications), Jun Guo (Beijing University of Posts and Telecommunications), Ji-Rong Wen (Gaoling School of Artificial Intelligence, Renmin University of China)

133: Denoising Implicit Feedback for Recommendation

Wenjie Wang (National University of Singapore), Fuli Feng (National University of Singapore), Xiangnan He (University of Science and Technology of China), Liqiang Nie (Shandong University), Tat-Seng Chua (National University of Singapore)

294: Origin-Aware Next Destination Recommendation with Personalized Preference Attention

Xiang Hui Nicholas Lim (Grab), Kuen Yew Bryan Hooi (NUS), See Kiong Ng (NUS), Xueou Wang (NUS), Yong Liang Goh (Grab), Renrong Weng (Grab), Rui Tan (Grab)

450: Event-Driven Query Expansion

Guy D. Rosin (Technion – Israel Institute of Technology), Ido Guy (eBay), Kira Radinsky (Technion)

441: An Efficient and Effective Framework for Session-based Social Recommendation

Tianwen Chen, Raymond Chi-Wing Wong (The Hong Kong University of Science and Technology)

Explainability and Intervention

305: Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions

Yanbo Xu (Georgia Institute of Technology), Divyat Mahajan (Microsoft Research), Liz Manrao (Microsoft), Amit Sharma (Microsoft), Emre Kiciman (Microsoft)

363: Explain and Predict, and then Predict again

Zijian Zhang, Koustav Rudra, Avishek Anand (L3S Research Center)

132: Combating Selection Biases in Recommender Systems with A Few Unbiased Ratings

Xiaojie Wang ( Inc.), Rui Zhang (University of Melbourne), Yu Sun (Twitter Inc.), Jianzhong Qi (University of Melbourne)


330: Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems

Xuezhi Wang (Google), Nithum Thain (Jigsaw), Anu Sinha (Google), Flavien Prost (Google), Ed H. Chi (Google), Jilin Chen (Google), Alex Beutel (Google)

512: Towards Long-term Fairness in Recommendation

Yingqiang Ge (Rutgers University), Shuchang Liu (Rutgers University), Ruoyuan Gao (Rutgers University), Yikun Xian (Rutgers University), Yunqi Li (Rutgers University), Xiangyu Zhao (Michigan State University), Changhua Pei (Tsinghua University), Fei Sun (Alibaba Group), Junfeng Ge (Alibaba Group), Wenwu Ou (alibaba group), Yongfeng Zhang (Rutgers University)

536: Online Post-Processing In Rankings For Fair Utility Maximization

Ananya Gupta (University of Massachusetts Amherst), Eric Johnson (University of Massachusetts Amherst), Aditya Kumar Roy (University of Massachusetts Amherst), Justin Payan (University of Massachusetts Amherst), Ari Kobren (Oracle Labs), Swetasudha Panda (Oracle Labs), Jean-Baptiste Tristan (Oracle Labs), Michael Wick (Oracle Labs)


38: Unifying Online and Counterfactual Learning to Rank

Harrie Oosterhuis (University of Amsterdam), Maarten de Rijke (University of Amsterdam & Ahold Delhaize)

289: Bias-Variance Decomposition for Ranking

Pannagadatta Shivaswamy (Netflix Inc), Ashok Chandrashekar (Netflix)

257: Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction

Nan Wang (University of Virginia), Zhen Qin (Google), Xuanhui Wang (Google), Hongning Wang (University of Virginia)

51: Unbiased Learning to Rank in Feeds Recommendation

Xinwei Wu (Jilin University), Hechang Chen (Jilin University), Jiashu Zhao (Wilfrid Laurier University), Li He (JD.COM), Dawei Yin (, Yi Chang (Jilin University)

293: Interpretable Ranking with Generalized Additive Models

Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian (Google)

46: Improving Cloud Storage Search with User Activity

Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork (Google)


71: Temporal Cross-Effects in Knowledge Tracing

Chenyang Wang (Tsinghua University), Weizhi Ma (Tsinghua University), Min Zhang (Tsinghua University), Chuancheng Lv (Tsinghua University), Fengyuan Wan (Tsinghua University), Huijie Lin (Netease Youdao Inc.), Taoran Tang (Netease Youdao Inc.), Yiqun Liu (Tsinghua University), Shaoping Ma (Tsinghua University)

521: FACE-KEG: FAct Checking Explained using KnowledgE Graphs

Nikhita Vedula (The Ohio State University), Srinivasan Parthasarathy (The Ohio state university)

342: Learning Dynamic Embeddings for Temporal Knowledge Graphs

Siyuan Liao (Sun Yat-sen University), Shangsong Liang (Sun Yat-sen University), Zaiqiao Meng (University of Glasgow), Qiang Zhang (University College London)

495: Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph

Yu Chen (RPI), Ananya Subburathinam (RPI), Ching-Hua Chen (IBM), Mohammed J. Zaki (RPI)

361: Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals

Gaole He (Renmin University of China), Yunshi Lan (Singapore Management University), Jing Jiang (Singapore Management University), Xin Zhao (Renmin University of China), Ji-Rong Wen (Renmin University of China)

428: Beyond Relevance: Trustworthy Answer Selection via Consensus Verification

Lixin Su (Institute of Computing Technology (ICT) Chinese Academy of Sciences (CAS)), Ruqing Zhang (Institute of Computing Technology, Chinese Academy of Sciences), Jiafeng Guo (Institute of Computing Technology, Chinese Academy of Sciences), Yixing Fan (Institute of Computing Technology, Chinese Academy of Sciences), Jiangui Chen (Institute of Computing Technology, Chinese Academy of Sciences), Yanyan Lan (Institute of Computing Technology, Chinese Academy of Sciences), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences)

Temporal Data and Forecasting

577: Long Horizon Forecasting With Temporal Point Processes

Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi (Indian Institute of Technology Bombay)

309: Time-Series Event Prediction with Evolutionary State Graph

Wenjie Hu (Alibaba Cloud, Alibaba Group), Yang Yang (Zhejiang University), Ziqiang Cheng (Zhejiang University), Carl Yang (University of Illinois), Xiang Ren (University of Southern California)

481: F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams

Yen-Yu Chang (Stanford University), Pan Li (Purdue University), Rok Sosic (Stanford University), Mohamed Ibrahim (Barracuda Networks), Marco Schweighauser (Barracuda Networks), Jure Leskovec (Stanford University)

74: Sparse-Interest Network for Sequential Recommendation

Qiaoyu Tan (Texas A&M University), Jianwei Zhang (Alibaba Group), Jiangchao Yao (Alibaba Group), Ninghao Liu (Texas A&M University), Jingren Zhou (Alibaba Group), Hongxia Yang (Alibaba Group), Xia Hu (Texas A&M University)

494: Explainable Recommendation with Comparative Constraints on Product Aspects

Trung-Hoang Le, Hady Lauw (Singapore Management University)

281: Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction

Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu (Shanghai Jiao Tong University)

Posters Session 1

22: Bipartite Graph Embedding via Mutual Information Maximization

Jiangxia Cao (Institute of Information Engineering, Chinese Academy of Sciences), Xixun Lin (Institute of Information Engineering, Chinese Academy of Sciences), Shu Guo (National Computer Network Emergency Response Technical Team & Coordination Center of China), Luchen Liu (Institute of Information Engineering, Chinese Academy of Sciences), Tingwen Liu (Institute of Information Engineering, Chinese Academy of Sciences), Bin Wang (Xiaomi AI Lab)

53: Centrality with Diversity

Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang (Duke University)

106: Filter Pruning via Probabilistic Model-based Optimization for Accelerating Deep Convolutional Neural Networks

Qinghua Li, Cuiping Li, Hong Chen (Information School, Renmin University of China)

125: Federated Deep Knowledge Tracing

Jinze Wu (University of Science and Technology of China), Zhenya Huang (University of Science and Technology of China), Qi Liu (University of Science and Technology of China), Defu Lian (University of Science and Technology of China), Hao Wang (University of Science and Technology of China), Enhong Chen (University of Science and Technology of China), Haiping Ma (Anhui University), Shijin Wang (iFLYTEK Research)

162: Fast Disjunctive Candidate Generation Using Live Block Filtering

Antonio Mallia, Michal Siedlaczek, Torsten Suel (New York University)

169: Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information

Enyan Dai, Suhang Wang (The Pennsylvania State University)

183: A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores

Kasimir Gabert (Georgia Institute of Technology), Ali Pinar (Sandia National Laboratories), Ümit Çatalyürek (Georgia Institute of Technology)

204: Adversarial Immunization for Certifiable Robustness on Graphs

Shuchang Tao (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Huawei Shen (Institute of Computing Technology, Chinese Academy of Sciences;), Qi Cao (Institute of Computing Technology, Chinese Academy of Sciences;), Liang Hou (Institute of Computing Technology, Chinese Academy of Sciences;), Xueqi Cheng (Institute of Computing Technology, Chinese Academy of Sciences;)

216: Triangular Bidword Generation for Sponsored Search Auction

Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li (ByteDance)

231: Learning User Representations with Hypercuboids for Recommender Systems

Shuai Zhang (ETH Zurich), Huoyu Liu (Alibaba), Aston Zhang (UIUC), Yue Hu (Alibaba), Ce Zhang (ETH Zurich), Yumeng Li (Alibaba), Tanchao Zhu (Alibaba), Shaojian He (Alibaba), Wenwu Ou (Alibaba)

243: Heterogeneous Hypergraph Embedding for Graph Classification

Xiangguo Sun (Southeast University), Hongzhi Yin (The University of Queensland), Bo Liu (Southeast University), Hongxu Chen (University of Technology Sydney), Jiuxin Cao (Southeast University), Yingxia Shao (Beijing University of Posts and Telecommunications), Nguyen Quoc Viet Hung (Griffith University)

271: Local Collaborative Autoencoders

Minjin Choi (Sungkyunkwan University), Yoonki Jeong (Sungkyunkwan University), Joonseok Lee (Google Research), Jongwuk Lee (Sungkyunkwan University)

286: Exploring the Subgraph Density-Size Trade-off via the Lovasz Extension

Aritra Konar, Nikos Sidiropoulos (University of Virginia)

290: Balance Maximization in Signed Networks via Edge Deletions

Kartik Sharma (IIT Delhi), Iqra Altaf Gillani (IIT Delhi), Sourav Medya (Kellogg School of Management, Northwestern University), Sayan Ranu (IIT Delhi), Amitabha Bagchi (IIT Delhi)

311: DeepIS: Susceptibility Estimation on Social Networks

Wenwen Xia (Shanghai Jiao Tong University), Yuchen Li (Singapore Management University), Jun Wu (Shanghai Jiao Tong University), Shenghong Li (Shanghai Jiao Tong University)

327: Hierarchical Metadata-Aware Document Categorization under Weak Supervision

Yu Zhang (University of Illinois at Urbana-Champaign), Xiusi Chen (University of California, Los Angeles), Yu Meng (University of Illinois at Urbana-Champaign), Jiawei Han (University of Illinois at Urbana-Champaign)

333: Learning to Drop: Robust Graph Neural Network via Topological Denoising

Dongsheng Luo (The Pennsylvania State University), Wei Cheng (NEC Laboratories America), Wenchao Yu (NEC Laboratories America), Bo Zong (NEC Labs), Jingchao Ni (NEC Labs America), Haifeng Chen (NEC Labs), Xiang Zhang (The Pennsylvania State University)

341: AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation

Qingqin Wang (Shanghai Key Laboratory of Data Science, Shanghai), Yun Xiong (Shanghai Key Laboratory of Data Science, Shanghai), Yao Zhang (Shanghai Key Laboratory of Data Science, Shanghai), Jiawei Zhang (Florida State University, Tallahassee, FL, USA), Yangyong Zhu (Shanghai Key Laboratory of Data Science, Shanghai)

375: Unsupervised Attributed Network Embedding via Cross Fusion

Guosheng Pan (Nanjing University), Yuan Yao (Nanjing University), Hanghang Tong (University of Illinois Urbana-Champaign), Feng Xu (ICS, Nanjing University), Jian Lu (Nanjing University)

434: Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network

Congcong Miao (Tsinghua University), Jiajun Fu (Tsinghua University), Jilong Wang (Tsinghua University), Heng Yu (Tsinghua University), Botao Yao (Tsinghua University), Anqi Zhong (Tsinghua University), Jie Chen (Tencent), Zekun He (Tencent)

494: Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Time Intervals

Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant Honavar (The Pennsylvania State University)

499: Joint Subgraph-to-Subgraph Transitions -- Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling

Justus Hibshman, Daniel Gonzalez, Satyaki Sikdar, Tim Weninger (University of Notre Dame)

511: FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection

Jia Li (The Hong Kong University of Science and Technology), Shimin Di (The Hong Kong University of Science and Technology), Yanyan Shen (Shanghai Jiao Tong University), Lei Chen (The Hong Kong University of Science and Technology)

526: Imbalanced Node Classification on Graphs

Tianxiang Zhao (Pennsylvania state university), Xiang Zhang (The Pennsylvania State University), Suhang Wang (The Pennsylvania State University)

557: CalibreNet: Calibration Networks for Multilingual Sequence Labeling

Shining Liang (College of Computer Science and Technology, Jilin University), Linjun Shou (STCA NLP Group, Microsoft), Jian Pei (School of Computing Science, Simon Fraser University), Ming Gong (STCA NLP Group, Microsoft), Wanli Zuo (College of Computer Science and Technology, Jilin University), Daxin Jiang (STCA NLP Group, Microsoft)

580: Modeling Context Pair Interaction for Pairwise Tasks on Graphs

Zhen Wang (The Ohio State University), Bo Zong (NEC Labs America), Huan Sun (The Ohio State University)

583: HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Rahul Ragesh (Microsoft Research), Sundararajan Sellamanickam (Microsoft Research), Arun Iyer (Microsoft Research), Ramakrishna Bairi (Microsoft Research), Vijay Lingam (Microsoft Research, India)

628: Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening

Zhiqiang Zhao (Michigan Technological University), Ying Zhang (Stevens Institute of Technology), Zhuo Feng (Stevens Institute of Technology)

Posters Session 2

55: DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving

Wei Deng (Purdue University), Junwei Pan (Yahoo Research), Tian Zhou (Yahoo Research), Deguang Kong (Google), Aaron Flores (Yahoo Research), Guang Lin (Purdue University)

84: Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph

Riku Togashi (CyberAgent, Inc.), Mayu Otani (CyberAgent, Inc.), Shin'Ichi Satoh (National Institute of Informatics)

157: β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers

Dionysis Manousakas, Cecilia Mascolo (University of Cambridge)

193: How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments

Yuxiang Xie, Meng Xu, Evan Chow, Xiaolin Shi (Snap Inc.)

219: Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems

Hao Chen (Shanghai Jiao Tong University), Xin Xin (University of Glasgow), Dong Wang (Shanghai Jiao Tong University), Yue Ding (Shanghai Jiao Tong University)

298: Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals

Lucas Bernardi, Anastasiia Kornilova (

367: Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

Kai Zhang (University of Science and Technology of China), Hao Qian (Ant Group), Qing Cui (Ant Group), Qi Liu (University of Science and Technology of China), Longfei Li (Ant Group), Jun Zhou (Ant Group), Jianhui Ma (University of Science and Technology of China), Enhong Chen (University of Science and Technology of China)

392: Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising

Zhilin Zhang (Alibaba Group), Xiangyu Liu (Alibaba Group), Zhenzhe Zheng (Shanghai Jiao Tong University), Chenrui Zhang (Peking University), Miao Xu (Alibaba Group), Junwei Pan (Yahoo Research), Chuan Yu (Alibaba Group), Fan Wu (Shanghai Jiao Tong University), Jian Xu (Alibaba Group), Kun Gai (Alibaba Group)

433: Enhancing Neural Recommender Models through Domain-Specific Concordance

Ananth Balashankar (New York University), Alex Beutel (Google), Lakshminarayanan Subramanian (New York University)

539: QueryBlazer: Efficient Query Autocompletion Framework

Young Mo Kang, Yingbo Zhou, Wenhao Liu ( Inc.)

541: Explanation as a Defense of Recommendation

Aobo Yang (University of Virginia), Nan Wang (University of Virginia), Hongbo Deng (Alibaba Group), Hongning Wang (University of Virginia)

558: Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks

Xichuan Niu (Wuhan University), Bofang Li (Alibaba Group), Chenliang Li (Wuhan University), Jun Tan (Alibaba Group), Rong Xiao (Alibaba Group), Hongbo Deng (Alibaba Group)

590: Toward User Engagement Optimization in 2D Presentation

Liang Wu (Airbnb, Inc.), Mihajlo Grbovic (Airbnb), Jundong Li (University of Virginia)

614: Temporal Meta-path Guided Explainable Recommendation

Hongxu Chen (University of Technology Sydney), Yicong Li (University of Technology Sydney), Xiangguo Sun (Southeast University), Guandong Xu (University of Technology Sydney), Hongzhi Yin (The University of Queensland)