Table of Contents

• Towards Autonomous DrivingYa-Qin Zhang. 1 [doi]
• Beyond-Accuracy Goals, AgainMaarten de Rijke. 2-3 [doi]
• Learning to Understand Audio and Multimodal ContentRosie Jones. 4-5 [doi]
• Local Edge Dynamics and Opinion PolarizationNikita Bhalla, Adam Lechowicz, Cameron Musco. 6-14 [doi]
• Never Too Late to Learn: Regularizing Gender Bias in Coreference ResolutionSunyoung Park, Kyuri Choi, Haeun Yu, Youngjoong Ko. 15-23 [doi]
• Marginal-Certainty-Aware Fair Ranking AlgorithmTao Yang, Zhichao Xu, Zhenduo Wang, Anh Tran, Qingyao Ai. 24-32 [doi]
• Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political DiscussionRishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patricia Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev. 33-41 [doi]
• BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed GraphsSrinivas Virinchi, Anoop Saladi. 42-50 [doi]
• Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social NetworksXing Su, Jian Yang, Jia Wu 0001, Yuchen Zhang. 51-59 [doi]
• Simplifying Graph-based Collaborative Filtering for RecommendationLi He, Xianzhi Wang 0001, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu. 60-68 [doi]
• Self-Supervised Group Graph Collaborative Filtering for Group RecommendationKang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan. 69-77 [doi]
• Towards Universal Cross-Domain RecommendationJiangxia Cao, Shaoshuai Li, Bowen Yu 0002, Xiaobo Guo, Tingwen Liu, Bin Wang 0004. 78-86 [doi]
• A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery ShoppingMozhdeh Ariannezhad, Ming Li, Sebastian Schelter, Maarten de Rijke. 87-95 [doi]
• Disentangled Negative Sampling for Collaborative FilteringRiwei Lai, Li Chen, Yuhan Zhao, Rui Chen, Qilong Han. 96-104 [doi]
• Relation Preference Oriented High-order Sampling for RecommendationMukun Chen, Xiuwen Gong, YH Jin, Wenbin Hu. 105-113 [doi]
• Minimum Entropy Principle Guided Graph Neural NetworksZhenyu Yang, Ge Zhang 0002, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su. 114-122 [doi]
• Learning to Distill Graph Neural NetworksCheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin. 123-131 [doi]
• MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature DistributionWendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang. 132-140 [doi]
• Global Counterfactual Explainer for Graph Neural NetworksZexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh. 141-149 [doi]
• Effective Graph Kernels for Evolving Functional Brain NetworksXinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu 0001. 150-158 [doi]
• Self-Supervised Graph Structure Refinement for Graph Neural NetworksJianan Zhao 0002, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye 0001. 159-167 [doi]
• Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer NetworkPeiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim. 168-176 [doi]
• Learning Stance Embeddings from Signed Social GraphsJohn Pougué-Biyong, Akshay Gupta, Aria Haghighi, Ahmed El-Kishky. 177-185 [doi]
• Marketing Budget Allocation with Offline Constrained Deep Reinforcement LearningTianchi Cai, Jiyan Jiang, Wenpeng Zhang 0003, Shiji Zhou, Xierui Song, Li Yu, Lihong Gu, Xiaodong Zeng, Jinjie Gu, Guannan Zhang. 186-194 [doi]
• Knowledge Enhancement for Contrastive Multi-Behavior RecommendationHongrui Xuan, Yi Liu, Bohan Li 0001, Hongzhi Yin. 195-203 [doi]
• Learning to Distinguish Multi-User Coupling Behaviors for TV RecommendationJiarui Qin, Jiachen Zhu, Yankai Liu, Junchao Gao, Jianjie Ying, Chaoxiong Liu, Ding Wang, Junlan Feng, Chao Deng, Xiaozheng Wang, Jian Jiang, Cong Liu, Yong Yu, Haitao Zeng, Weinan Zhang 0001. 204-212 [doi]
• Range Restricted Route Recommendation Based on Spatial KeywordHongwei Tang, Detian Zhang. 213-221 [doi]
• Meta Policy Learning for Cold-Start Conversational RecommendationZhendong Chu, Hongning Wang, Yun Xiao, Bo Long, Lingfei Wu. 222-230 [doi]
• Variational Reasoning over Incomplete Knowledge Graphs for Conversational RecommendationXiaoyu Zhang, Xin Xin 0003, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren. 231-239 [doi]
• A Causal View for Item-level Effect of Recommendation on User PreferenceWei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu. 240-248 [doi]
• Counterfactual Collaborative ReasoningJianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang. 249-257 [doi]
• NGAME: Negative Mining-aware Mini-batching for Extreme ClassificationKunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao 0007, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma. 258-266 [doi]
• Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and InterpretationXuanhao Chen 0001, Liwei Deng 0001, Yan Zhao 0008, Kai Zheng 0001. 267-275 [doi]
• Few-shot Node Classification with Extremely Weak SupervisionSong Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li. 276-284 [doi]
• Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the WildDonghyun Son, Byounggyu Lew, KwangHee Choi, Yongsu Baek, Seungwoo Choi, Beomjun Shin, Sungjoo Ha, Buru Chang. 285-293 [doi]
• A Multi-graph Fusion Based Spatiotemporal Dynamic Learning FrameworkXu Wang, Lianliang Chen, Hongbo Zhang, Pengkun Wang, Zhengyang Zhou, Yang Wang. 294-302 [doi]
• Simultaneous Linear Multi-view Attributed Graph Representation Learning and ClusteringChakib Fettal, Lazhar Labiod, Mohamed Nadif. 303-311 [doi]
• DeMEtRIS: Counting (near)-Cliques by CrawlingSuman K. Bera 0001, Jayesh Choudhari, Shahrzad Haddadan, Sara Ahmadian. 312-320 [doi]
• Interpretable Research Interest Shift Detection with Temporal Heterogeneous GraphsQiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang 0001. 321-329 [doi]
• Self-supervised Graph Representation Learning for Black Market Account DetectionZequan Xu, Lianyun Li, Hui Li, Qihang Sun, Shaofeng Hu, Rongrong Ji. 330-338 [doi]
• GOOD-D: On Unsupervised Graph Out-Of-Distribution DetectionYixin Liu, Kaize Ding, Huan Liu 0001, Shirui Pan. 339-347 [doi]
• Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate InferenceYiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah. 348-356 [doi]
• Alleviating Structural Distribution Shift in Graph Anomaly DetectionYuan Gao, Xiang Wang, Xiangnan He 0001, Zhenguang Liu, Huamin Feng, Yongdong Zhang 0001. 357-365 [doi]
• One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain RecommendationChenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu. 366-374 [doi]
• S2TUL: A Semi-Supervised Framework for Trajectory-User LinkingLiwei Deng 0001, Hao Sun, Yan Zhao, Shuncheng Liu 0001, Kai Zheng 0001. 375-383 [doi]
• DIGMN: Dynamic Intent Guided Meta Network for Differentiated User Engagement Forecasting in Online Professional Social PlatformsFeifan Li, Lun Du, Qiang Fu, Shi Han, Yushu Du, Guangming Lu, Zi Li. 384-392 [doi]
• Federated Unlearning for On-Device RecommendationWei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang. 393-401 [doi]
• Cognition-aware Knowledge Graph Reasoning for Explainable RecommendationQingyu Bing, Qiannan Zhu, Zhicheng Dou. 402-410 [doi]
• Multi-Intention Oriented Contrastive Learning for Sequential RecommendationXuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu 0006, Di Jin, Mei Yu, Ruiguo Yu. 411-419 [doi]
• Friendly Conditional Text GeneratorNoriaki Kawamae. 420-428 [doi]
• Effective Seed-Guided Topic Discovery by Integrating Multiple Types of ContextsYu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han 0001. 429-437 [doi]
• Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt TuningZiyun Xu, Chengyu Wang 0001, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang. 438-446 [doi]
• Visual Matching is Enough for Scene Text RetrievalLilong Wen, Yingrong Wang, Dongxiang Zhang, Gang Chen. 447-455 [doi]
• AGREE: Aligning Cross-Modal Entities for Image-Text Retrieval Upon Vision-Language Pre-trained ModelsXiaodan Wang, Lei Li, Zhixu Li, Xuwu Wang, Xiangru Zhu, Chengyu Wang 0001, Jun Huang, Yanghua Xiao. 456-464 [doi]
• Can Pre-trained Language Models Understand Chinese Humor?Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen. 465-480 [doi]
• IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential RecommendationJing Du, Zesheng Ye, Bin Guo 0001, Zhiwen Yu 0001, Lina Yao 0001. 481-489 [doi]
• Disentangled Representation for Diversified RecommendationsXiaoying Zhang, Hongning Wang, Hang Li 0001. 490-498 [doi]
• Slate-Aware Ranking for RecommendationYi Ren, Xiao Han, Xu Zhao, Shenzheng Zhang, Yan Zhang. 499-507 [doi]
• DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest RecommendationYifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang. 508-516 [doi]
• MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized RecommendationSenrong Xu, Liangyue Li, Yuan Yao 0001, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong. 517-525 [doi]
• VRKG4Rec: Virtual Relational Knowledge Graph for RecommendationLingyun Lu, Bang Wang, Zizhuo Zhang, Shenghao Liu, Han Xu. 526-534 [doi]
• Knowledge-Adaptive Contrastive Learning for RecommendationHao Wang, Yao Xu, Cheng Yang 0002, Chuan Shi, Xin Li, Ning Guo, Zhiyuan Liu 0001. 535-543 [doi]
• Heterogeneous Graph Contrastive Learning for RecommendationMengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo. 544-552 [doi]
• Exploiting Explicit and Implicit Item relationships for Session-based RecommendationZihao Li, Xianzhi Wang 0001, Chao Yang, Lina Yao 0001, Julian J. McAuley, Guandong Xu. 553-561 [doi]
• Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User ModelingJingkun Wang, Yongtao Jiang, Haochen Li, Wen Zhao. 562-570 [doi]
• Calibrated Recommendations as a Minimum-Cost Flow ProblemHiman Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin A. Carterette, Mounia Lalmas, Tony Jebara. 571-579 [doi]
• Generative Slate Recommendation with Reinforcement LearningRomain Deffayet, Thibaut Thonet, Jean-Michel Renders, Maarten de Rijke. 580-588 [doi]
• SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized RecommendationBoyu Li 0003, Ting Guo, Xingquan Zhu 0001, Qian Li, Yang Wang, Fang Chen. 589-597 [doi]
• AutoGen: An Automated Dynamic Model Generation Framework for Recommender SystemChenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang 0001, Yong Yu 0001, Ruiming Tang. 598-606 [doi]
• Robust Training of Graph Neural Networks via Noise GovernanceSiyi Qian, Haochao Ying, Renjun Hu, Jingbo Zhou, Jintai Chen, Danny Z. Chen, Jian Wu 0001. 607-615 [doi]
• Cooperative Explanations of Graph Neural NetworksJunfeng Fang, Xiang Wang 0010, An Zhang 0003, Zemin Liu, Xiangnan He 0001, Tat-Seng Chua. 616-624 [doi]
• Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionQiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen 0012, Soo Hyun Choi, Xia Hu. 625-633 [doi]
• Towards Faithful and Consistent Explanations for Graph Neural NetworksTianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang. 634-642 [doi]
• Position-Aware Subgraph Neural Networks with Data-Efficient LearningChang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding 0001. 643-651 [doi]
• Graph Neural Networks with Interlayer Feature Representation for Image Super-ResolutionShenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang. 652-660 [doi]
• DGRec: Graph Neural Network for Recommendation with Diversified Embedding GenerationLiangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang. 661-669 [doi]
• CLNode: Curriculum Learning for Node ClassificationXiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du 0001, Yong Luo 0002, Wenbin Hu. 670-678 [doi]
• Inductive Graph Transformer for Delivery Time EstimationXin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen 0001, Cyril Leung. 679-687 [doi]
• Ask "Who", Not "What": Bitcoin Volatility Forecasting with Twitter DataM. Eren Akbiyik, Mert Erkul, Killian Kämpf, Vaiva Vasiliauskaite, Nino Antulov-Fantulin. 688-696 [doi]
• Search Behavior Prediction: A Hypergraph PerspectiveYan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao 0001, Zhangyang Wang, Karthik Subbian. 697-705 [doi]
• A Multimodal Framework for the Identification of Vaccine Critical Memes on TwitterUsman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn. 706-714 [doi]
• Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge DistillationZhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao. 715-723 [doi]
• Heterogeneous Graph-based Context-aware Document RankingShuting Wang, Zhicheng Dou, Yutao Zhu 0001. 724-732 [doi]
• Learning and Maximizing Influence in Social Networks Under Capacity ConstraintsPritish Chakraborty, Sayan Ranu, Krishna Sri Ipsit Mantri, Abir De. 733-741 [doi]
• Graph Summarization via Node Grouping: A Spectral AlgorithmArpit Merchant, Michael Mathioudakis, Yanhao Wang 0001. 742-750 [doi]
• Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between GroupsGongzhu Yin, Xing Wang, Hongli Zhang, Chao Meng, Yuchen Yang, Kun Lu, Yi Luo. 751-759 [doi]
• Scalable Adversarial Attack Algorithms on Influence MaximizationLichao Sun 0001, Xiaobin Rui, Wei Chen 0013. 760-768 [doi]
• Ranking-based Group Identification via Factorized Attention on Social Tripartite GraphMingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu. 769-777 [doi]
• Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse GraphsLinhao Luo, Gholamreza Haffari, Shirui Pan. 778-786 [doi]
• S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph MaskingQiaoyu Tan, Ninghao Liu, Xiao Huang 0001, Soo Hyun Choi, Li Li, Rui Chen 0012, Xia Hu. 787-795 [doi]
• Dependency-aware Self-training for Entity AlignmentBing Liu 0025, Tiancheng Lan, Wen-hua, Guido Zuccon. 796-804 [doi]
• CL4CTR: A Contrastive Learning Framework for CTR PredictionFangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang 0060, Ning Gu. 805-813 [doi]
• Weakly Supervised Entity Alignment with Positional InspirationWei Tang, Fenglong Su, Haifeng Sun 0001, Qi Qi 0001, Jingyu Wang, Shimin Tao, Hao Yang. 814-822 [doi]
• Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided TriggeringAlex Deng, Lo-Hua Yuan, Naoya Kanai, Alexandre Salama-Manteau. 823-831 [doi]
• Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking BenchmarkZhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin 0001. 832-840 [doi]
• Self-supervised Multi-view Disentanglement for Expansion of Visual CollectionsNihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari, Vishwa Vinay, Kuldeep Kulkarni. 841-849 [doi]
• Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement PredictionThanh Trung Huynh, Minh Hieu Nguyen, Thanh-Tam Nguyen, Phi-Le Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer. 850-858 [doi]
• Telecommunication Traffic Forecasting via Multi-task LearningXiaochuan Gou, Xiangliang Zhang 0001. 859-867 [doi]
• Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource SettingsYaguang Liu, Lisa Singh. 868-876 [doi]
• Active Ensemble Learning for Knowledge Graph Error DetectionJunnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao. 877-885 [doi]
• Stochastic Solutions for Dense Subgraph Discovery in Multilayer NetworksYasushi Kawase, Atsushi Miyauchi 0001, Hanna Sumita. 886-894 [doi]
• Model-based Unbiased Learning to RankDan Luo, Lixin Zou, Qingyao Ai, ZhiYu Chen, Dawei Yin, Brian D. Davison 0001. 895-903 [doi]
• Reducing Negative Effects of the Biases of Language Models in Zero-Shot SettingXiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu. 904-912 [doi]
• Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance RankingHaiyuan Zhao, Jun Xu, Xiao Zhang 0034, Guohao Cai, Zhenhua Dong, Ji-Rong Wen. 913-921 [doi]
• Unbiased and Efficient Self-Supervised Incremental Contrastive LearningCheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu. 922-930 [doi]
• Pairwise Fairness in Ranking as a Dissatisfaction MeasureAlessandro Fabris, Gianmaria Silvello, Gian Antonio Susto, Asia J. Biega. 931-939 [doi]
• Uncertainty Quantification for Fairness in Two-Stage Recommender SystemsLequn Wang, Thorsten Joachims. 940-948 [doi]
• Generating Explainable Product Comparisons for Online ShoppingNikhita Vedula, Marcus Collins, Eugene Agichtein, Oleg Rokhlenko. 949-957 [doi]
• Reducing the Bias of Visual Objects in Multimodal Named Entity RecognitionXin Zhang, Jingling Yuan, Lin Li, Jianquan Liu. 958-966 [doi]
• Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual BanditsAaron David Tucker, Thorsten Joachims. 967-975 [doi]
• Unbiased Knowledge Distillation for RecommendationGang Chen, Jiawei Chen 0007, Fuli Feng, Sheng Zhou 0004, Xiangnan He 0001. 976-984 [doi]
• Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave OptimizationCanzhe Zhao, Yanjie Ze, Jing Dong 0008, Baoxiang Wang 0001, Shuai Li. 985-993 [doi]
• Revisiting Code Search in a Two-Stage ParadigmFan Hu, Yanlin Wang 0001, Lun Du, Xirong Li 0001, Hongyu Zhang 0002, Shi Han, Dongmei Zhang 0001. 994-1002 [doi]
• Multi-queue Momentum Contrast for Microvideo-Product RetrievalYali Du, Yinwei Wei, Wei Ji 0008, Fan Liu, Xin Luo 0006, Liqiang Nie. 1003-1011 [doi]
• Beyond Hard Negatives in Product Search: Semantic Matching Using One-Class Classification (SMOCC)Arindam Bhattacharya, Ankit Gandhi, Vijay Huddar, Ankith M. S, Aayush Moroney, Atul Saroop, Rahul Bhagat. 1012-1020 [doi]
• Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity RetrievalTaiqiang Wu, Xingyu Bai, Weigang Guo, Weijie Liu 0002, Siheng Li, Yujiu Yang. 1021-1029 [doi]
• Feature Missing-aware Routing-and-Fusion Network for Customer Lifetime Value Prediction in AdvertisingXuejiao Yang, Binfeng Jia, Shuangyang Wang, Shijie Zhang. 1030-1038 [doi]
• Multimodal Pre-Training with Self-Distillation for Product Understanding in E-CommerceShilei Liu, Lin Li, Jun Song, Yonghua Yang, Xiaoyi Zeng. 1039-1047 [doi]
• Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport DistillationZhiqi Huang, Puxuan Yu, James Allan. 1048-1056 [doi]
• An F-shape Click Model for Information Retrieval on Multi-block Mobile PagesLingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang 0001, Rui Zhang, Yong Yu 0001. 1057-1065 [doi]
• Boosting Advertising Space: Designing Ad Auctions for Augment AdvertisingYangsu Liu, Dagui Chen, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Fan Wu, Guihai Chen. 1066-1074 [doi]
• A Bird's-eye View of Reranking: From List Level to Page LevelYunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang 0001, Rui Zhang, Ruiming Tang, Yong Yu 0001. 1075-1083 [doi]
• Long-Document Cross-Lingual SummarizationShaohui Zheng, Zhixu Li, Jiaan Wang, Jianfeng Qu, An Liu 0002, Lei Zhao, Zhigang Chen 0003. 1084-1092 [doi]
• FineSum: Target-Oriented, Fine-Grained Opinion SummarizationSuyu Ge, Jiaxin Huang, Yu Meng 0001, Jiawei Han 0001. 1093-1101 [doi]
• EZInterviewer: To Improve Job Interview Performance with Mock Interview GeneratorMingzhe Li, Xiuying Chen, Weiheng Liao, Yang Song, Tao Zhang, Dongyan Zhao 0001, Rui Yan 0001. 1102-1110 [doi]
• Concept-Oriented Transformers for Visual Sentiment AnalysisQuoc-Tuan Truong, Hady W. Lauw. 1111-1119 [doi]
• UnCommonSense in Action! Informative Negations for Commonsense Knowledge BasesHiba Arnaout, Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum. 1120-1123 [doi]
• A Framework for Detecting Frauds from Extremely Few LabelsYa Lin Zhang, Yi-Xuan Sun, Fangfang Fan, Meng Li, Yeyu Zhao, Wei Wang, Longfei Li, Jun Zhou, Jinghua Feng. 1124-1127 [doi]
• MMBench: The Match Making BenchmarkYongsheng Liu, Yanxing Qi, Jiangwei Zhang, Connie Kou, Qiaolin Chen. 1128-1131 [doi]
• SoCraft: Advertiser-level Predictive Scoring for Creative Performance on MetaAlfred Huang, Qi Yang, Sergey Nikolenko, Marlo Ongpin, Ilia Gossoudarev, Ngoc Yen Duong, Kirill Lepikhin, Sergey Vishnyakov, Yu-Yi Chu-Farseeva, Aleksandr Farseev. 1132-1135 [doi]
• DisKeyword: Tweet Corpora Exploration for Keyword SelectionSacha Lévy, Reihaneh Rabbany. 1136-1139 [doi]
• AgAsk: A Conversational Search Agent for Answering Agricultural QuestionsHang Li 0009, Bevan Koopman, Ahmed Mourad, Guido Zuccon. 1140-1143 [doi]
• Privacy Aware Experiments without CookiesShiv Shankar, Ritwik Sinha, Saayan Mitra, Viswanathan (Vishy) Swaminathan, Sridhar Mahadevan, Moumita Sinha. 1144-1147 [doi]
• ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic SchedulingJun Zhou, Ke Zhang, Feng Zhu, Qitao Shi, Wenjing Fang, Lin Wang, Yi Wang. 1148-1151 [doi]
• PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning ProfessionalsZhihao Zhang, Siwen Luo, Junyi Chen, Sijia Lai, Siqu Long, Hyunsuk Chung, Soyeon Caren Han. 1152-1155 [doi]
• A Synthetic Search Session Generator for Task-Aware Information Seeking and RetrievalShawon Sarkar, Chirag Shah. 1156-1159 [doi]
• UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender SystemsJafar Afzali, Aleksander Mark Drzewiecki, Krisztian Balog, Shuo Zhang 0006. 1160-1163 [doi]
• Travel Bird: A Personalized Destination Recommender with TourBERT and Airbnb ExperiencesVeronika Arefieva, Roman Egger, Michael Schrefl, Markus Schedl. 1164-1167 [doi]
• CoQEx: Entity Counts ExplainedShrestha Ghosh, Simon Razniewski, Gerhard Weikum. 1168-1171 [doi]
• Web of Conferences: A Conference Knowledge GraphShuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia 0001. 1172-1175 [doi]
• MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query ConstructionShuai Wang, Hang Li, Guido Zuccon. 1176-1179 [doi]
• Developing and Evaluating Graph Counterfactual Explanation with GRETELMario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo. 1180-1183 [doi]
• DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian NetworkYi Ding, Jun Zhou, Qing Cui, Lin Wang, Mengqi Zhang, Yang Dong. 1184-1187 [doi]
• SimSumIoT: A Platform for Simulating the Summarisation from Internet of ThingsWei Emma Zhang, Adnan Mahmood, Lixin Deng, Minhao Zhu. 1188-1191 [doi]
• AntTS: A Toolkit for Time Series Forecasting in Industrial ScenariosJianping Wei, Zhibo Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou. 1192-1195 [doi]
• "Just To See You Smile": SMILEY, a Voice-Guided GUY GANQi Yang, Christos Tzelepis, Sergey Nikolenko, Ioannis Patras, Aleksandr Farseev. 1196-1199 [doi]
• Unsupervised Question Duplicate and Related Questions Detection in e-learning platformsMaksimjeet Chowdhary, Sanyam Goyal, Venktesh V, Mukesh K. Mohania, Vikram Goyal. 1200-1203 [doi]
• DOCoR: Document-level OpenIE with Coreference ResolutionShan Jie Yong, Kuicai Dong, Aixin Sun. 1204-1207 [doi]
• A Semantic Search Framework for Similar Audit Issue Recommendation in Financial IndustryChuchu Zhang, Can Song, Samarth Agarwal, Huayu Wu 0006, Xuejie Zhang, John Jianan Lu. 1208-1211 [doi]
• Classification of Different Participating Entities in the Rise of Hateful Content in Social MediaMithun Das. 1212-1213 [doi]
• Generalizing Graph Neural Network across Graphs and TimeZhihao Wen. 1214-1215 [doi]
• Graphs: Privacy and Generation through MLRucha Bhalchandra Joshi. 1216-1217 [doi]
• Data-Efficient Graph Learning Meets Ethical ChallengesTao Tang. 1218-1219 [doi]
• From Classic GNNs to Hyper-GNNs for Detecting Camouflaged Malicious ActorsVenus Haghighi. 1220-1221 [doi]
• Efficient Graph Learning for Anomaly Detection SystemsFalih Gozi Febrinanto. 1222-1223 [doi]
• Self-supervision and Controlling Techniques to Improve Counter Speech GenerationPunyajoy Saha. 1224-1225 [doi]
• Understanding the Effect of Outlier Items in E-commerce RankingFatemeh Sarvi. 1226-1227 [doi]
• Knowledge-Augmented Methods for Natural Language ProcessingChenguang Zhu 0001, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang 0001, Wenhao Yu 0002. 1228-1231 [doi]
• Hate Speech: Detection, Mitigation and BeyondPunyajoy Saha, Mithun Das, Binny Mathew, Animesh Mukherjee 0001. 1232-1235 [doi]
• A Tutorial on Domain GeneralizationJindong Wang 0001, Haoliang Li, Sinno Jialin Pan, Xing Xie 0001. 1236-1239 [doi]
• Trustworthy Algorithmic Ranking SystemsMarkus Schedl, Emilia Gómez, Elisabeth Lex. 1240-1243 [doi]
• Proactive Conversational AgentsLizi Liao, Grace Hui Yang, Chirag Shah. 1244-1247 [doi]
• Preference-Based Offline EvaluationCharles L. A. Clarke, Fernando Diaz 0001, Negar Arabzadeh. 1248-1251 [doi]
• Natural and Artificial Dynamics in GNNs: A TutorialDongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He. 1252-1255 [doi]
• Next-generation Challenges of Responsible Data IntegrationFatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish. 1256-1259 [doi]
• Data Democratisation with Deep Learning: The Anatomy of a Natural Language Data InterfaceGeorge Katsogiannis-Meimarakis, Mike Xydas, Georgia Koutrika. 1260-1263 [doi]
• AutoML for Deep Recommender Systems: Fundamentals and AdvancesRuiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao. 1264-1267 [doi]
• 4th Crowd Science Workshop - CANDLE: Collaboration of Humans and Learning Algorithms for Data LabelingDmitry Ustalov, Saiph Savage, Niels van Berkel, Yang Liu. 1268 [doi]
• Integrity 2023: Integrity in Social Networks and MediaLluís Garcia Pueyo, Panayiotis Tsaparas, Prathyusha Senthil Kumar, Timos Sellis, Paolo Papotti, Sibel Adali, Giuseppe Manco 0001, Tudor Trufinescu, Gireeja Ranade, James Verbus, Mehmet N. Tek, Anthony McCosker. 1269-1270 [doi]
• The 3rd International Workshop on Machine Learning on Graphs (MLoG)Tyler Derr, Yao Ma 0001, Benedek Rozemberczki, Neil Shah, Shirui Pan. 1271-1272 [doi]
• International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and ReasoningQing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang. 1273-1274 [doi]
• WSDM 2023 Workshop on Interactive Recommender SystemsYong Liu, Hao Zhang, Zhu Sun, Shoujin Wang, Jie Zhang 0002. 1275-1276 [doi]
• Responsible AI for Trusted AI-powered Enterprise PlatformsSteven C. H. Hoi. 1277-1278 [doi]
• Simulating Humans at Scale to Evaluate Voice Interfaces for TVs: the Round-Trip System at ComcastBreck Baldwin, Lauren Reese, LiMing Zhang, Jan Neumann, Taylor Cassidy, Michael Pereira, G. Craig Murray, Kishorekumar Sundararajan, Yidnekachew Endale, Pramod Kadagattor, Paul Wolfe, Brian Aiken, Tony Braskich, Donte Jiggetts, Adam Sloan, Esther Vaturi, Crystal Pender, Ferhan Ture. 1279-1280 [doi]
• Under the Hood of Social Media Advertising: How Do We use AI Responsibly for Advertising Targeting and Creative EvaluationAleksandr Farseev. 1281-1282 [doi]
• An Open-Source Suite of Causal AI Tools and LibrariesEmre Kiciman. 1283-1284 [doi]
• Compliance Analyses of Australia's Online Household AppliancesChang How Tan, Vincent C. S. Lee, Jessie Nghiem, Priya Laxman. 1285-1286 [doi]
• Considerations for Ethical Speech Recognition DatasetsOrestis Papakyriakopoulos, Alice Xiang. 1287-1288 [doi]
• Incorporating Fairness in Large Scale NLU SystemsRahul Gupta 0001, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan. 1289-1290 [doi]
• Privacy in the Time of Language ModelsCharith Peris, Christophe Dupuy, Jimit Majmudar, Rahil Parikh, Sami Smaili, Richard Zemel, Rahul Gupta. 1291-1292 [doi]
• Learning to Infer Product Attribute Values From Descriptive Texts and ImagesPablo Montalvo, Aghiles Salah. 1293-1294 [doi]
• Recent Advances on Deep Learning based Knowledge TracingZitao Liu 0001, Jiahao Chen 0006, Weiqi Luo 0002. 1295-1296 [doi]
• Social Public Health Infrastructure for a Smart City Citizen Patient: Advances and Opportunities for AI Driven Disruptive InnovationAnkur Teredesai. 1297-1298 [doi]
• SmartCityBus - A Platform for Smart Transportation SystemsGeorgios Bouloukakis, Chrysostomos Zeginis, Nikolaos Papadakis, Kostas Magoutis, George Christodoulou 0005, Chrysanthi Kosyfaki, Konstantinos Lampropoulos 0002, Nikos Mamoulis. 1299-1300 [doi]
• Metropolitan-scale Mobility Digital TwinZipei Fan, Renhe Jiang, Ryosuke Shibasaki. 1301-1302 [doi]
• Towards an Event-Aware Urban Mobility Prediction SystemZhaonan Wang 0001, Renhe Jiang, Zipei Fan, Xuan Song 0001, Ryosuke Shibasaki. 1303-1304 [doi]
• Student Behavior Pattern Mining and Analysis: Towards Smart CampusesTeng Guo, Feng Xia 0001. 1305-1306 [doi]