Table of Contents

• Ethical Challenges in AIRicardo Baeza-Yates. 1-2 [doi]
• Knowledge is Power: Symbolic Knowledge Distillation, Commonsense Morality, & Multimodal Script KnowledgeYejin Choi. 3 [doi]
• Graph Neural Network Research at AWS AIGeorge Karypis. 4 [doi]
• k-Clustering with Fair OutliersMatteo Almanza, Alessandro Epasto, Alessandro Panconesi, Giuseppe Re. 5-15 [doi]
• Wikipedia Reader Navigation: When Synthetic Data Is EnoughAkhil Arora 0001, Martin Gerlach, Tiziano Piccardi, Alberto García-Durán, Robert West 0001. 16-26 [doi]
• Harvesting More Answer Spans from Paragraph beyond AnnotationQiaoben Bao, Jiangjie Chen, Linfang Liu, JingPing Liu, Jiaqing Liang, Yanghua Xiao. 27-36 [doi]
• Sampling Multiple Nodes in Large Networks: Beyond Random WalksOmri Ben-Eliezer, Talya Eden, Joel Oren, Dimitris Fotakis. 37-47 [doi]
• 'It's on the tip of my tongue': A new Dataset for Known-Item RetrievalSamarth Bhargav, Georgios Sidiropoulos, Evangelos Kanoulas. 48-56 [doi]
• CAN: Feature Co-Action Network for Click-Through Rate PredictionWeijie Bian, Kailun Wu, Lejian Ren, Qi Pi, Yujing Zhang, Can Xiao, Xiang-Rong Sheng, Yong-Nan Zhu, Zhangming Chan, Na Mou, Xinchen Luo, Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng. 57-65 [doi]
• Towards Understanding and Answering Comparative QuestionsAlexander Bondarenko, Yamen Ajjour, Valentin Dittmar, Niklas Homann, Pavel Braslavski, Matthias Hagen. 66-74 [doi]
• Graph Collaborative ReasoningHanxiong Chen, Yunqi Li 0003, Shaoyun Shi, Shuchang Liu 0001, He Zhu, Yongfeng Zhang. 75-84 [doi]
• A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention MechanismZhuo Chen, Baoxi Liu, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu. 85-93 [doi]
• Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware RecommendationYankai Chen 0001, Menglin Yang 0001, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King. 94-102 [doi]
• Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal ProxiesLu Cheng, Ruocheng Guo, Huan Liu 0001. 103-112 [doi]
• Causal Mediation Analysis with Hidden ConfoundersLu Cheng, Ruocheng Guo, Huan Liu 0001. 113-122 [doi]
• AdaptKT: A Domain Adaptable Method for Knowledge TracingSong Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su. 123-131 [doi]
• An Adaptive Unified Allocation Framework for Guaranteed Display AdvertisingXiao Cheng, Chuanren Liu, Liang Dai, Peng Zhang, Zhen Fang, Zhonglin Zu. 132-140 [doi]
• The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?Jin Yao Chin, Yile Chen, Gao Cong. 141-149 [doi]
• S-Walk: Accurate and Scalable Session-based Recommendation with Random WalksMinjin Choi, JinHong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee. 150-160 [doi]
• ANTHEM: Attentive Hyperbolic Entity Model for Product SearchNurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy. 161-171 [doi]
• Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge BasesPhilipp Christmann, Rishiraj Saha Roy, Gerhard Weikum. 172-180 [doi]
• Towards Robust Graph Neural Networks for Noisy Graphs with Sparse LabelsEnyan Dai, Wei Jin, Hui Liu, Suhang Wang. 181-191 [doi]
• Predicting Human Mobility via Graph Convolutional Dual-attentive NetworksWeizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou 0001, Xin Chen, Jilong Wang 0001. 192-200 [doi]
• Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance PredictionSuchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra. 201-209 [doi]
• Improving Personalized Search with Dual-Feedback NetworkChenlong Deng, Yujia Zhou 0002, Zhicheng Dou. 210-218 [doi]
• Combinatorial Bandits under Strategic ManipulationsJing Dong, Ke Li, Shuai Li, Baoxiang Wang 0001. 219-229 [doi]
• Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization PerspectiveLun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang. 230-240 [doi]
• Semi-supervised Stance Detection of Tweets Via Distant Network SupervisionSubhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty 0002. 241-251 [doi]
• External Evaluation of Ranking Models under Extreme Position-BiasYaron Fairstein, Elad Haramaty, Arnon Lazerson, Liane Lewin-Eytan. 252-261 [doi]
• Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce SearchZhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, Xin-Yu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu. 262-270 [doi]
• Variational User Modeling with Slow and Fast FeaturesGhazal Fazelnia, Eric Simon, Ian Anderson 0003, Benjamin A. Carterette, Mounia Lalmas. 271-279 [doi]
• How Do You Test a Test?: A Multifaceted Examination of Significance TestsNicola Ferro 0001, Mark Sanderson. 280-288 [doi]
• Efficient Graph Convolution for Joint Node Representation Learning and ClusteringChakib Fettal, Lazhar Labiod, Mohamed Nadif. 289-297 [doi]
• Leveraging Multi-view Inter-passage Interactions for Neural Document RankingChengzhen Fu, Enrui Hu, Letian Feng, Zhicheng Dou, Yantao Jia, Lei Chen, Fan Yu, Zhao Cao. 298-306 [doi]
• HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph ModelingShen Gao, Yuchi Zhang, Yongliang Wang, Yang Dong, Xiuying Chen, Dongyan Zhao 0001, Rui Yan 0001. 307-315 [doi]
• Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement LearningYingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang. 316-324 [doi]
• Differentially Private Ensemble Classifiers for Data StreamsLovedeep Gondara, Ke Wang 0001, Ricardo Silva Carvalho. 325-333 [doi]
• Multi-Scale Variational Graph AutoEncoder for Link PredictionZhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang. 334-342 [doi]
• Learning Multi-granularity Consecutive User Intent Unit for Session-based RecommendationJiayan Guo, Yaming Yang 0001, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang. 343-352 [doi]
• Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover PredictionJinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu. 353-362 [doi]
• Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership PredictionZhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang. 363-371 [doi]
• Keyword Assisted Embedded Topic ModelBahareh Harandizadeh, J. Hunter Priniski, Fred Morstatter. 372-380 [doi]
• It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are DynamicJin Huang, Harrie Oosterhuis, Maarten de Rijke. 381-389 [doi]
• POLE: Polarized Embedding for Signed NetworksZexi Huang, Arlei Silva, Ambuj K. Singh. 390-400 [doi]
• Triangle Graph Interest Network for Click-through Rate PredictionWensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu. 401-409 [doi]
• On Generalizing Static Node Embedding to Dynamic SettingsDi Jin, SungChul Kim, Ryan A. Rossi, Danai Koutra. 410-420 [doi]
• KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph ClassificationWei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang. 421-429 [doi]
• Leveraging World Events to Predict E-Commerce Consumer Demand under AnomalyDan Kalifa, Uriel Singer, Ido Guy, Guy D. Rosin, Kira Radinsky. 430-438 [doi]
• GAGE: Geometry Preserving Attributed Graph EmbeddingsCharilaos I. Kanatsoulis, Nicholas D. Sidiropoulos. 439-448 [doi]
• Query Interpretations from Entity-Linked SegmentationsVaibhav Kasturia, Marcel Gohsen, Matthias Hagen. 449-457 [doi]
• An Unsupervised Detection Framework for Chinese Jargons in the DarknetLiang Ke, Xinyu Chen, Haizhou Wang. 458-466 [doi]
• ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and SemanticWenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng. 467-475 [doi]
• Cluster-Aware Heterogeneous Information Network EmbeddingRayyan Ahmad Khan, Martin Kleinsteuber. 476-486 [doi]
• Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior ModelHaruka Kiyohara, Yuta Saito, Tatsuya Matsuhiro, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto. 487-497 [doi]
• Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated RankingsTill Kletti, Jean-Michel Renders, Patrick Loiseau. 498-507 [doi]
• Multi-Resolution Attention for Personalized Item SearchFurkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, Heng Tze Cheng, Sagar Jain, Ed Chi, Ambuj Singh. 508-516 [doi]
• Linear, or Non-Linear, That is the Question!Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi 0002, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim. 517-525 [doi]
• Efficient Two-stage Label Noise Reduction for Retrieval-based TasksMengmeng Kuang, Weiyan Wang, Zhenhong Chen, Lie Kang, Qiang Yan 0001. 526-534 [doi]
• Differential Query Semantic Analysis: Discovery of Explicit Interpretable Knowledge from E-Com Search LogsSahiti Labhishetty, ChengXiang Zhai, Min Xie, Lin Gong, Rahul Sharnagat, Satya Chembolu. 535-543 [doi]
• Collaborative Curating for Discovery and Expansion of Visual ClustersDung D. Le, Hady W. Lauw. 544-552 [doi]
• A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query ReformulationXiangsheng Li, Jiaxin Mao, Weizhi Ma, Zhijing Wu 0001, Yiqun Liu 0001, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He. 553-561 [doi]
• Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial TrainingJia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang. 562-570 [doi]
• RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain RecommendationChenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu. 571-581 [doi]
• Graph Embedding with Hierarchical Attentive MembershipLu Lin, Ethan Blaser, Hongning Wang. 582-590 [doi]
• Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial AttacksZihan Liu, Yun Luo, Zelin Zang, Stan Z. Li. 591-598 [doi]
• Improving Knowledge Tracing with Collaborative InformationTing Long, Jiarui Qin, Jian Shen, Weinan Zhang 0001, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu 0001. 599-607 [doi]
• An Ensemble Model for Combating Label NoiseYangdi Lu, Yang Bo, Wenbo He. 608-617 [doi]
• Non-stationary Continuum-armed Bandits for Online Hyperparameter OptimizationShiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang 0005. 618-627 [doi]
• The Multi-vehicle Ride-Sharing ProblemKelin Luo, Chaitanya Agarwal, Syamantak Das, Xiangyu Guo. 628-637 [doi]
• Ada-GNN: Adapting to Local Patterns for Improving Graph Neural NetworksZihan Luo, Jianxun Lian, Hong Huang 0001, Hai Jin 0001, Xing Xie 0001. 638-647 [doi]
• RLMob: Deep Reinforcement Learning for Successive Mobility PredictionZiyan Luo, Congcong Miao. 648-656 [doi]
• ComGA: Community-Aware Attributed Graph Anomaly DetectionXuexiong Luo, Jia Wu 0001, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue. 657-665 [doi]
• VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative FilteringWanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming 0001. 666-674 [doi]
• Adversarial Attack on Graph Neural Networks as An Influence Maximization ProblemJiaqi Ma 0001, Junwei Deng, Qiaozhu Mei. 675-685 [doi]
• Diversified Subgraph Query Generation with Group FairnessHanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu. 686-694 [doi]
• Learning Fair Node Representations with Graph Counterfactual FairnessJing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li. 695-703 [doi]
• Deep Graph-level Anomaly Detection by Glocal Knowledge DistillationRongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel. 704-714 [doi]
• Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation ModelingJiaqi Ma 0001, Xingjian Zhang, Qiaozhu Mei. 715-725 [doi]
• Pretraining Multi-modal Representations for Chinese NER Task with Cross-Modality AttentionChengcheng Mai, Mengchuan Qiu, Kaiwen Luo, Ziyan Peng, Jian Liu, Chunfeng Yuan, Yihua Huang. 726-734 [doi]
• Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling ConversationsGaneshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty 0002. 735-745 [doi]
• Learning Relevant Questions for Conversational Product Search using Deep Reinforcement LearningAli Montazeralghaem, James Allan. 746-754 [doi]
• MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related MicroblogsRajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri, Sourangshu Bhattacharya, Koustav Rudra, Pawan Goyal 0002, Niloy Ganguly. 755-763 [doi]
• Reconfiguration Problems on Submodular FunctionsNaoto Ohsaka, Tatsuya Matsuoka. 764-774 [doi]
• Heterogeneous Global Graph Neural Networks for Personalized Session-based RecommendationYitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei. 775-783 [doi]
• Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable RecommendationSung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim. 784-793 [doi]
• EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge GraphsNamyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong. 794-803 [doi]
• Scope-aware Re-ranking with Gated Attention in FeedHao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu. 804-812 [doi]
• Contrastive Learning for Representation Degeneration Problem in Sequential RecommendationRuihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang. 813-823 [doi]
• A Simple but Effective Bidirectional Framework for Relational Triple ExtractionFeiliang Ren, Longhui Zhang, Xiaofeng Zhao, Shujuan Yin, Shilei Liu, Bochao Li. 824-832 [doi]
• Time Masking for Temporal Language ModelsGuy D. Rosin, Ido Guy, Kira Radinsky. 833-841 [doi]
• On Sampling Collaborative Filtering DatasetsNoveen Sachdeva, Carole-Jean Wu, Julian J. McAuley. 842-850 [doi]
• Understanding and Mitigating the Effect of Outliers in Fair RankingFatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke. 861-869 [doi]
• Enumerating Fair Packages for Group RecommendationsRyoma Sato. 870-878 [doi]
• Retrieving Black-box Optimal Images from External DatabasesRyoma Sato. 879-887 [doi]
• Evaluating Mixed-initiative Conversational Search Systems via User SimulationIvan Sekulic, Mohammad Aliannejadi, Fabio Crestani. 888-896 [doi]
• Diversified Query Generation Guided by Knowledge GraphXinyao Shen, Jiangjie Chen, Jiaze Chen, Chun Zeng, Yanghua Xiao. 897-907 [doi]
• Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic GraphsHyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin. 908-916 [doi]
• Using Conjunctions for Faster Disjunctive Top-k QueriesMichal Siedlaczek, Antonio Mallia, Torsten Suel. 917-927 [doi]
• Attributed Graph Modeling with Vertex Replacement GrammarsSatyaki Sikdar, Neil Shah, Tim Weninger. 928-936 [doi]
• Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-CommerceUriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser. 937-946 [doi]
• Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized RecommendationsYu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin 0001, Xing Xie 0001. 947-956 [doi]
• Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement LearningDusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas. 957-965 [doi]
• Efficient Reachability Query with Extreme Labeling FilterZhixiang Su, Di Wang, Xiaofeng Zhang, LiZhen Cui, Chunyan Miao. 966-975 [doi]
• MonLAD: Money Laundering Agents Detection in Transaction StreamsXiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia 0001, Bryan Hooi, Wenhan Wang, Xueqi Cheng. 976-986 [doi]
• Graph Few-shot Class-incremental LearningZhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu 0001. 987-996 [doi]
• Uncovering Causal Effects of Online Short Videos on Consumer BehaviorsZiqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu 0001. 997-1006 [doi]
• Friend Story Ranking with Edge-Contextual Local Graph ConvolutionsXianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah. 1007-1015 [doi]
• DAME: Domain Adaptation for Matching EntitiesMohamed Trabelsi, Jeff Heflin, Jin Cao. 1016-1024 [doi]
• A New Class of Polynomial Activation Functions of Deep Learning for Precipitation ForecastingJiachuan Wang, Lei Chen, Charles Wang Wai Ng. 1025-1035 [doi]
• Learning-To-Ensemble by Contextual Rank Aggregation in E-CommerceXuesi Wang, Guangda Huzhang, Qianying Lin, Qing Da. 1036-1044 [doi]
• Knowledge Enhanced Sports Game SummarizationJiaan Wang, Zhixu Li, Tingyi Zhang, Duo Zheng, Jianfeng Qu, An Liu 0002, Lei Zhao, Zhigang Chen. 1045-1053 [doi]
• MtCut: A Multi-Task Framework for Ranked List TruncationDong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao. 1054-1062 [doi]
• A Sequence-to-Sequence Model for Large-scale Chinese Abbreviation Database ConstructionChao Wang, JingPing Liu, Tianyi Zhuang, Jiahang Li, Juntao Liu, Yanghua Xiao, Wei Wang 0009, Rui Xie. 1063-1071 [doi]
• Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories MiningZhan Wang, Zhaohui Peng, Senzhang Wang, Qiao Song. 1072-1080 [doi]
• Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment RecommendationLu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He. 1081-1089 [doi]
• Structure Meets Sequences: Predicting Network of Co-evolving SequencesYaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong. 1090-1098 [doi]
• Scalable Graph Topology Learning via Spectral DensificationYongyu Wang, Zhiqiang Zhao, Zhuo Feng. 1099-1108 [doi]
• Profiling the Design Space for Graph Neural Networks based Collaborative FilteringZhenyi Wang, Huan Zhao, Chuan Shi. 1109-1119 [doi]
• Contrastive Meta Learning with Behavior Multiplicity for RecommendationWei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin. 1120-1128 [doi]
• A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online AdvertisingChao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng. 1129-1139 [doi]
• Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video EnhancementXiaotong Wu, Lianyong Qi, Xiaolong Xu 0001, Shui Yu, Wanchun Dou, Xuyun Zhang. 1140-1148 [doi]
• Improving the Applicability of Knowledge-Enhanced Dialogue Generation Systems by Using Heterogeneous Knowledge from Multiple SourcesSixing Wu, Minghui Wang, Ying Li 0015, Dawei Zhang, Zhonghai Wu. 1149-1157 [doi]
• Towards Unbiased and Robust Causal Ranking for Recommender SystemsTeng Xiao, Suhang Wang. 1158-1167 [doi]
• Long Short-Term Temporal Meta-learning in Online RecommendationRuobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia 0006, Leyu Lin. 1168-1176 [doi]
• A Peep into the Future: Adversarial Future Encoding in RecommendationRuobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia 0006, Leyu Lin. 1177-1185 [doi]
• Supervised Advantage Actor-Critic for Recommender SystemsXin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose. 1186-1196 [doi]
• Informed Multi-context Entity AlignmentKexuan Xin, Zequn Sun, Wen-hua, Wei Hu 0007, Xiaofang Zhou 0001. 1197-1205 [doi]
• Identifying Cost-effective Debunkers for Multi-stage Fake News Mitigation CampaignsXiaofei Xu, Ke Deng, Xiuzhen Zhang. 1206-1214 [doi]
• MAF: A General Matching and Alignment Framework for Multimodal Named Entity RecognitionBo Xu, Shizhou Huang, Chaofeng Sha, Hongya Wang. 1215-1223 [doi]
• Translating Human Mobility Forecasting through Natural Language GenerationHao Xue 0001, Flora D. Salim, Yongli Ren, Charles L. A. Clarke. 1224-1233 [doi]
• Lightweight Composite Re-Ranking for Efficient Keyword Search with BERTYingrui Yang, Yifan Qiao, Jinjin Shao, Xifeng Yan, Tao Yang. 1234-1244 [doi]
• Few-shot Link Prediction in Dynamic NetworksCheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong, Chuan Shi, Wei Wang, Xu Zhang. 1245-1255 [doi]
• MAVE: A Product Dataset for Multi-source Attribute Value ExtractionLi Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal. 1256-1265 [doi]
• Interpretable Relation Learning on Heterogeneous GraphsQiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang 0001. 1266-1274 [doi]
• Fast Semantic Matching via Flexible Contextualized InteractionWenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin. 1275-1283 [doi]
• Assessing Algorithmic Biases for Musical Version IdentificationFurkan Yesiler, Marius Miron, Joan Serrà, Emilia Gómez. 1284-1290 [doi]
• Directed Network Embedding with Virtual Negative EdgesHyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim. 1291-1299 [doi]
• Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data AugmentationsYuning You, Tianlong Chen, Zhangyang Wang, Yang Shen. 1300-1309 [doi]
• Sentiment Analysis of Fashion Related Posts in Social MediaYifei Yuan 0002, Wai Lam. 1310-1318 [doi]
• Community Trend Prediction on Heterogeneous Graph in E-commerceJiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang. 1319-1327 [doi]
• Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense RetrievalJingtao Zhan, Jiaxin Mao, Yiqun Liu 0001, Jiafeng Guo, Min Zhang, Shaoping Ma. 1328-1336 [doi]
• Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message PassingChengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao. 1337-1346 [doi]
• ESC-GAN: Extending Spatial Coverage of Physical SensorsXiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta 0001, Dezhi Hong. 1347-1356 [doi]
• MotifClass: Weakly Supervised Text Classification with Higher-order Metadata InformationYu Zhang 0044, Shweta Garg 0004, Yu Meng, Xiusi Chen, Jiawei Han 0001. 1357-1367 [doi]
• Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser ModelingQianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng. 1368-1376 [doi]
• Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-EncodersJuntao Zhang, Nanzhou Lin, Xuelong Zhang, Wei Song 0006, Xiandi Yang, Zhiyong Peng. 1377-1385 [doi]
• A GNN-based Multi-task Learning Framework for Personalized Video SearchLi Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu. 1386-1394 [doi]
• GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and PruningMinjia Zhang, Wenhan Wang, Yuxiong He. 1395-1405 [doi]
• CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-PredictionYudong Zhang 0001, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang. 1406-1414 [doi]
• PipAttack: Poisoning Federated Recommender Systems for Manipulating Item PromotionShijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, LiZhen Cui. 1415-1423 [doi]
• A Counterfactual Modeling Framework for Churn PredictionGuozhen Zhang, Jinwei Zeng, Zhengyue Zhao, Depeng Jin, Yong Li. 1424-1432 [doi]
• Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related FeaturesTianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang. 1433-1442 [doi]
• ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow PredictionLiang Zhao, Min Gao 0001, Zongwei Wang. 1443-1451 [doi]
• Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference LearningXiaoyun Zhao, Ning Yang, Philip S. Yu. 1452-1460 [doi]
• Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural NetworkKai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng. 1461-1469 [doi]
• AngHNE: Representation Learning for Bipartite Heterogeneous Networks with Angular LossCangqi Zhou, Hui Chen, Jing Zhang 0015, Qianmu Li, Dianming Hu. 1470-1478 [doi]
• Learning Transferable Node Representations for Attribute Extraction from Web DocumentsYichao Zhou, Ying Sheng 0002, Nguyen Vo, Nick Edmonds, Sandeep Tata. 1479-1487 [doi]
• C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender SystemYuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu 0001. 1488-1496 [doi]
• Fighting Mainstream Bias in Recommender Systems via Local Fine TuningZiwei Zhu, James Caverlee. 1497-1506 [doi]
• Personalized Transfer of User Preferences for Cross-domain RecommendationYongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He. 1507-1515 [doi]
• DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper ReasoningYushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang 0127, Huajun Chen. 1516-1524 [doi]
• A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph CompletionJianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han. 1525-1533 [doi]
• Improving Session Search by Modeling Multi-Granularity Historical Query ChangeXiaochen Zuo, Zhicheng Dou, Ji-Rong Wen. 1534-1542 [doi]
• Improving Text Generation via Neural Discourse PlanningAlexander Chernyavskiy. 1543-1544 [doi]
• Robust Graph Learning for Misbehavior DetectionYingtong Dou. 1545-1546 [doi]
• GNNs for Node Clustering in Signed and Directed NetworksYixuan He. 1547-1548 [doi]
• Towards Practical Robustness Evaluation and Robustness EnhancingYaxin Li. 1549-1550 [doi]
• From Uni-relational to Multi-relational Graph Neural NetworksJuanhui Li. 1551-1552 [doi]
• Trustworthy Machine Learning: Fairness and RobustnessHaochen Liu. 1553-1554 [doi]
• Obtaining Robust Models from Imbalanced DataWentao Wang. 1555-1556 [doi]
• Fair Graph Representation Learning with Imbalanced and Biased DataYu Wang. 1557-1558 [doi]
• Doctoral Consortium of WSDM'22: Exploring the Bias of Adversarial DefensesHan Xu. 1559-1560 [doi]
• Quality Assurance of a German COVID-19 Question Answering Systems using Component-based MicrobenchmarkingAndreas Both, Paul Heinze, Aleksandr Perevalov, Johannes Richard Bartsch, Rostislav Iudin, Johannes Rudolf Herkner, Tim Schrader, Jonas Wunsch, René Gürth, Ann Kristin Falkenhain. 1561-1564 [doi]
• iLFQA: A Platform for Efficient and Accurate Long-Form Question AnsweringRhys Butler, Vishnu Dutt Duggirala, Farnoush Banaei Kashani. 1565-1568 [doi]
• Web Search via an Efficient and Effective Brain-Machine InterfaceXuesong Chen, Ziyi Ye, Xiaohui Xie, Yiqun Liu 0001, Xiaorong Gao, Weihang Su, Shuqi Zhu, Yike Sun, Min Zhang, Shaoping Ma. 1569-1572 [doi]
• Aligning the Research and Practice of Building Search Applications: Elasticsearch and PyseriniJosh Devins, Julie Tibshirani, Jimmy Lin. 1573-1576 [doi]
• Building Multi-turn Query Interpreters for E-commercial Chatbots with Sparse-to-dense Attentive ModelingYan Fan, Chengyu Wang 0001, Peng He, Yunhua Hu. 1577-1580 [doi]
• Automating ETL and Mining of Ethereum Blockchain NetworkVoon Hou Su, Sourav Sen Gupta, Arijit Khan 0001. 1581-1584 [doi]
• a2RegInf: An Interactive System for Maximizing Influence within Arbitrary Number of Arbitrary Shaped Query RegionsHui Li, Qiting Yang, JiangTao Cui. 1585-1588 [doi]
• Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link PredictionDai Quoc Nguyen, Vinh Tong, Dinh Q. Phung, Dat Quoc Nguyen. 1589-1592 [doi]
• PrivacyCheck v3: Empowering Users with Higher-Level Understanding of Privacy PoliciesRazieh Nokhbeh Zaeem, Ahmad Ahbab, Josh Bestor, Hussam H. Djadi, Sunny Kharel, Victor Lai, Nick Wang, K. Suzanne Barber. 1593-1596 [doi]
• RGRecSys: A Toolkit for Robustness Evaluation of Recommender SystemsZohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong. 1597-1600 [doi]
• Fair-SRS: A Fair Session-based Recommendation SystemNaime Ranjbar Kermany, Jian Yang, Jia Wu 0001, Luiz Pizzato. 1601-1604 [doi]
• Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelfMichael Soprano, Kevin Roitero, Francesco Bombassei De Bona, Stefano Mizzaro. 1605-1608 [doi]
• An Interactive Knowledge Graph Based Platform for COVID-19 Clinical ResearchJuntao Su, Edward T. Dougherty, Shuang Jiang, Fang Jin. 1609-1612 [doi]
• Personalized Information Retrieval for Touristic Attractions in Augmented RealityFelix Yang, Saikishore Kalloori, Ribin Chalumattu, Markus Gross 0001. 1613-1616 [doi]
• Search and Discovery in Personal Email CollectionsMichael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler. 1617-1619 [doi]
• Graph Minimally-supervised LearningKaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu. 1620-1622 [doi]
• Graph Neural Networks for Recommender SystemChen Gao, Xiang Wang, Xiangnan He 0001, Yong Li 0008. 1623-1625 [doi]
• A Tutorial on Stance DetectionDilek Küçük, Fazli Can. 1626-1628 [doi]
• Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etcSarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty 0002. 1629-1631 [doi]
• Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 InfodemicPreslav Nakov, Giovanni Da San Martino, Firoj Alam. 1632-1634 [doi]
• Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval SystemDa Xu, Chuanwei Ruan. 1635-1637 [doi]
• The Pit Stop Problem: How to Plan Your Next Road TripKostas Kollias. 1638 [doi]
• Predicting Users' Gender and Age based on Mobile TasksYuan Tian. 1639 [doi]
• Towards a Cross-domain Semantically Interoperable EcosystemMilenko Tosic, Fábio André Coelho, Barry Nouwt, David Emanuel Rua, Aleksandar Tomcic, Sasa Pesic. 1640-1641 [doi]
• Exploration in Recommender SystemsMinmin Chen. 1642 [doi]
• Studying Long-Term User Behaviour Using Dynamic Time Warping for Customer RetentionHarsha Gwalani. 1643 [doi]
• AI & Public Data for Humanitarian and Emergency ResponseAlejandro Jaimes. 1644 [doi]
• Scalable Attribute Extraction at InstacartShih-Ting Lin. 1645 [doi]
• A Practical Guide to Robust Multimodal Machine Learning and Its Application in EducationZitao Liu. 1646 [doi]
• Mining Frequent Patterns on Knowledge GraphsLalla Mouatadid. 1647 [doi]
• Near Real Time AI Personalization for Notifications at LinkedInAjith Muralidharan. 1648 [doi]
• Successes and Opportunities in Enterprise AIVijay K. Narayanan. 1649 [doi]
• Experiments with Predictive Long Term Guardrail MetricsSri Sri Perangur. 1650 [doi]
• Challenges in Data Production for AI with Human-in-the-LoopDmitry Ustalov. 1651-1652 [doi]
• Rethink e-Commerce SearchHaixun Wang. 1653 [doi]
• The Incentives Platform at LyftAlex Wood-Doughty, Cameron Bruggeman. 1654 [doi]
• Graph Neural Networks for the Global Economy with Microsoft DeepGraphJaewon Yang, Baoxu Shi, Alex Samylkin. 1655 [doi]
• The Rise of Data Observability: Architecting the Future of Data TrustBarr Moses. 1657 [doi]