Table of Contents

• The Power of (Statistical) Relational ThinkingLise Getoor. 1 [doi]
• AI for Social Impact: Results from Deployments for Public Health and ConversationMilind Tambe. 2 [doi]
• Beyond Traditional Characterizations in the Age of Data: Big Models, Scalable Algorithms, and Meaningful SolutionsShang-Hua Teng. 3 [doi]
• GBPNet: Universal Geometric Representation Learning on Protein StructuresSarp Aykent, Tian Xia. 4-14 [doi]
• Saliency-Regularized Deep Multi-Task LearningGuangji Bai, Liang Zhao 0002. 15-25 [doi]
• Submodular Feature Selection for Partial Label LearningWei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang. 26-34 [doi]
• Motif Prediction with Graph Neural NetworksMaciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler. 35-45 [doi]
• Practical Lossless Federated Singular Vector Decomposition over Billion-Scale DataDi Chai, Leye Wang, Junxue Zhang, Liu Yang, Shuowei Cai, Kai Chen 0005, Qiang Yang 0001. 46-55 [doi]
• Avoiding Biases due to Similarity Assumptions in Node EmbeddingsDeepayan Chakrabarti. 56-65 [doi]
• Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span ExtractionMohna Chakraborty, Adithya Kulkarni, Qi Li 0012. 66-75 [doi]
• Multi-Variate Time Series Forecasting on Variable SubsetsJatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran. 76-86 [doi]
• FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split NetworksJiayi Chen, Aidong Zhang. 87-96 [doi]
• Efficient Join Order Selection Learning with Graph-based RepresentationJin Chen 0008, Guanyu Ye, Yan Zhao 0008, Shuncheng Liu 0001, Liwei Deng 0001, Xu Chen, Rui Zhou, Kai Zheng 0001. 97-107 [doi]
• Knowledge-enhanced Black-box Attacks for RecommendationsJingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang. 108-117 [doi]
• Multi-modal Siamese Network for Entity AlignmentLiyi Chen, Zhi Li, Tong Xu 0001, Han Wu 0002, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen. 118-126 [doi]
• Efficient Orthogonal Multi-view Subspace ClusteringMansheng Chen, Chang-Dong Wang, Dong Huang 0001, Jian-Huang Lai, Philip S. Yu. 127-135 [doi]
• Scalar is Not Enough: Vectorization-based Unbiased Learning to RankMouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun. 136-145 [doi]
• Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series ForecastingWeiqi Chen, Wenwei Wang, Bingqing Peng, Qingsong Wen, Tian Zhou, Liang Sun 0001. 146-156 [doi]
• Efficient Approximate Algorithms for Empirical Variance with Hashed Block SamplingXingguang Chen, Fangyuan Zhang, Sibo Wang 0001. 157-167 [doi]
• Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K RecommendationYankai Chen 0001, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King. 168-178 [doi]
• RLogic: Recursive Logical Rule Learning from Knowledge GraphsKewei Cheng, Jiahao Liu, Wei Wang 0010, Yizhou Sun. 179-189 [doi]
• Sufficient Vision TransformerZhi-cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu 0002. 190-200 [doi]
• HyperAid: Denoising in Hyperbolic Spaces for Tree-fitting and Hierarchical ClusteringEli Chien, Puoya Tabaghi, Olgica Milenkovic. 201-211 [doi]
• TARNet: Task-Aware Reconstruction for Time-Series TransformerRanak Roy Chowdhury, Xiyuan Zhang 0001, Jingbo Shang, Rajesh K. Gupta 0001, Dezhi Hong. 212-220 [doi]
• Scalable Differentially Private Clustering via Hierarchically Separated TreesVincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab Mirrokni, Andres Muñoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii. 221-230 [doi]
• Noisy Interactive Graph SearchQianhao Cong, Jing Tang, Kai Han, Yuming Huang, Lei Chen, Yeow Meng Chee. 231-240 [doi]
• Collaboration Equilibrium in Federated LearningSen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang. 241-251 [doi]
• A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate PredictionQuanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun. 252-262 [doi]
• Discovering Significant Patterns under Sequential False Discovery ControlSebastian Dalleiger, Jilles Vreeken. 263-272 [doi]
• Debiasing the Cloze Task in Sequential Recommendation with Bidirectional TransformersKhalil Damak, Sami Khenissi, Olfa Nasraoui. 273-282 [doi]
• Framing Algorithmic Recourse for Anomaly DetectionDebanjan Datta, Feng Chen 0001, Naren Ramakrishnan. 283-293 [doi]
• Robust Event Forecasting with Spatiotemporal Confounder LearningSonggaojun Deng, Huzefa Rangwala, Yue Ning 0001. 294-304 [doi]
• Addressing Unmeasured Confounder for Recommendation with Sensitivity AnalysisSihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He 0001, Yong Liao, Yongdong Zhang 0001. 305-315 [doi]
• On Structural Explanation of Bias in Graph Neural NetworksYushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li. 316-326 [doi]
• Fair Labeled ClusteringSeyed A. Esmaeili, Sharmila Duppala, John P. Dickerson, Brian Brubach. 327-335 [doi]
• On Aligning Tuples for RegressionChenguang Fang, Shaoxu Song, Yinan Mei, Ye Yuan, Jianmin Wang. 336-346 [doi]
• Spatio-Temporal Trajectory Similarity Learning in Road NetworksZiquan Fang, Yuntao Du 0002, Xinjun Zhu, Danlei Hu, Lu Chen, Yunjun Gao, Christian S. Jensen. 347-356 [doi]
• FreeKD: Free-direction Knowledge Distillation for Graph Neural NetworksKaituo Feng, Changsheng Li, Ye Yuan 0001, Guoren Wang. 357-366 [doi]
• Meta-Learned Metrics over Multi-Evolution Temporal GraphsDongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He. 367-377 [doi]
• SIPF: Sampling Method for Inverse Protein FoldingTianfan Fu, Jimeng Sun. 378-388 [doi]
• Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy ModelTianfan Fu, Jimeng Sun. 389-399 [doi]
• Optimal Interpretable Clustering Using Oblique Decision TreesMagzhan Gabidolla, Miguel Á. Carreira-Perpiñán. 400-410 [doi]
• Finding Meta Winning Ticket to Train Your MAMLDawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding. 411-420 [doi]
• ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch SimilaritiesYunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li 0005, Pengfei Wang, Lu Chen 0001. 421-431 [doi]
• RES: A Robust Framework for Guiding Visual ExplanationYuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao 0002. 432-442 [doi]
• Disentangled Ontology Embedding for Zero-shot LearningYuxia Geng, Jiaoyan Chen, Wen Zhang, Yajing Xu, Zhuo Chen, Jeff Z. Pan, Yufeng Huang, Feiyu Xiong, Huajun Chen. 443-453 [doi]
• PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial ActionsEhsan Gholami, Mohammad Motamedi, Ashwin Aravindakshan. 454-464 [doi]
• Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to HydrologyRahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar 0001. 465-474 [doi]
• Subset Node Anomaly Tracking over Large Dynamic GraphsXingzhi Guo, Baojian Zhou, Steven Skiena. 475-485 [doi]
• BLISS: A Billion scale Index using Iterative Re-partitioningGaurav Gupta, Tharun Medini, Anshumali Shrivastava, Alexander J. Smola. 486-495 [doi]
• ProActive: Self-Attentive Temporal Point Process Flows for Activity SequencesVinayak Gupta, Srikanta Bedathur. 496-504 [doi]
• Connecting Low-Loss Subspace for Personalized Federated LearningSeok-Ju Hahn, Minwoo Jeong, Junghye Lee. 505-515 [doi]
• Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand PredictionLiangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du 0001, Yanjie Fu, Weifeng Lv, Hui Xiong 0001. 516-524 [doi]
• Streaming Hierarchical Clustering Based on Point-Set KernelXin Han, Ye Zhu, Kai Ming Ting, De-Chuan Zhan, Gang Li. 525-533 [doi]
• Compressing Deep Graph Neural Networks via Adversarial Knowledge DistillationHuarui He, Jie Wang, Zhanqiu Zhang, Feng Wu. 534-544 [doi]
• Partial Label Learning with Semantic Label RepresentationsShuo He, Lei Feng, Fengmao Lv, Wen Li, Guowu Yang. 545-553 [doi]
• Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth ImageryWenchong He, Zhe Jiang 0001, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan 0001, Yang Zhou 0001. 554-564 [doi]
• Core-periphery Partitioning and Quantum AnnealingCatherine F. Higham, Desmond J. Higham, Francesco Tudisco. 565-573 [doi]
• AdaAX: Explaining Recurrent Neural Networks by Learning Automata with Adaptive StatesDat Hong, Alberto Maria Segre, Tong Wang. 574-584 [doi]
• Towards Universal Sequence Representation Learning for Recommender SystemsYupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen. 585-593 [doi]
• GraphMAE: Self-Supervised Masked Graph AutoencodersZhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang 0001. 594-604 [doi]
• Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance GenerationJiaxin Huang, Yu Meng 0001, Jiawei Han 0001. 605-614 [doi]
• LinE: Logical Query Reasoning over Hierarchical Knowledge GraphsZijian Huang, Meng-Fen Chiang, Wang-Chien Lee. 615-625 [doi]
• Local Evaluation of Time Series Anomaly Detection AlgorithmsAlexis Huet, José Manuel Navarro, Dario Rossi. 635-645 [doi]
• Low-rank Nonnegative Tensor Decomposition in Hyperbolic SpaceBo Hui, Wei-Shinn Ku. 646-654 [doi]
• Global Self-Attention as a Replacement for Graph ConvolutionMd. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian. 655-665 [doi]
• Flexible Modeling and Multitask Learning using Differentiable Tree EnsemblesShibal Ibrahim, Hussein Hazimeh 0001, Rahul Mazumder. 666-675 [doi]
• Dual-Geometric Space Embedding Model for Two-View Knowledge GraphsRoshni G. Iyer, Yunsheng Bai, Wei Wang 0010, Yizhou Sun. 676-686 [doi]
• Detecting Cash-out Users via Dense SubgraphsYingsheng Ji, Zheng Zhang, Xinlei Tang, Jiachen Shen, Xi Zhang, Guangwen Yang. 687-697 [doi]
• A Spectral Representation of Networks: The Path of SubgraphsShengmin Jin, Hao Tian, Jiayu Li, Reza Zafarani. 698-708 [doi]
• Feature Overcorrelation in Deep Graph Neural Networks: A New PerspectiveWei Jin, Xiaorui Liu, Yao Ma 0001, Charu C. Aggarwal, Jiliang Tang. 709-719 [doi]
• Condensing Graphs via One-Step Gradient MatchingWei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin. 720-730 [doi]
• Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-WeightingYilun Jin, Kai Chen 0005, Qiang Yang 0001. 731-741 [doi]
• JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional NetworksJian Kang, Qinghai Zhou, Hanghang Tong. 742-752 [doi]
• HyperLogLogLog: Cardinality Estimation With One Log MoreMatti Karppa, Rasmus Pagh. 753-761 [doi]
• SOS: Score-based Oversampling for Tabular DataJayoung Kim 0002, Chaejeong Lee, Yehjin Shin, Sewon Park 0004, Minjung Kim, Noseong Park, Jihoon Cho. 762-772 [doi]
• CoRGi: Content-Rich Graph Neural Networks with AttentionJooyeon Kim, Angus Lamb, Simon Woodhead 0002, Simon Peyton Jones, Cheng Zhang, Miltiadis Allamanis. 773-783 [doi]
• Learned Token Pruning for TransformersSehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer. 784-794 [doi]
• ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape AnalysisSeonggyeom Kim, Dong-Kyu Chae. 795-803 [doi]
• In Defense of Core-set: A Density-aware Core-set Selection for Active LearningYeachan Kim, Bonggun Shin. 804-812 [doi]
• FlowGEN: A Generative Model for Flow GraphsFurkan Kocayusufoglu, Arlei Silva, Ambuj K. Singh. 813-823 [doi]
• Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label EstimationDanning Lao, Xinyu Yang, Qitian Wu, Junchi Yan. 824-834 [doi]
• Modeling Network-level Traffic Flow Transitions on Sparse DataXiaoliang Lei, Hao Mei, Bin Shi, Hua Wei. 835-845 [doi]
• The DipEncoder: Enforcing Multimodality in AutoencodersCollin Leiber, Lena G. M. Bauer, Michael Neumayr, Claudia Plant, Christian Böhm. 846-856 [doi]
• KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property PredictionHan Li, Dan Zhao, Jianyang Zeng. 857-867 [doi]
• Domain Adaptation in Physical Systems via Graph KernelHaoran Li 0005, Hanghang Tong, Yang Weng. 868-876 [doi]
• Sampling-based Estimation of the Number of Distinct Values in Distributed EnvironmentJiajun Li, Zhewei Wei, Bolin Ding, Xiening Dai, Lu Lu, Jingren Zhou. 893-903 [doi]
• HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis FrameworkJiatong Li, Fei Wang, Qi Liu 0003, Mengxiao Zhu 0001, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su 0002, Shijin Wang 0001. 904-913 [doi]
• Communication-Efficient Robust Federated Learning with Noisy LabelsJunyi Li, Jian Pei, Heng Huang. 914-924 [doi]
• Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNNKuan Li, Yang Liu, Xiang Ao 0001, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He 0003. 925-935 [doi]
• Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive LearningRongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou 0002. 936-944 [doi]
• PAC-Wrap: Semi-Supervised PAC Anomaly DetectionShuo Li, Xiayan Ji, Edgar Dobriban, Oleg Sokolsky, Insup Lee. 945-955 [doi]
• TransBO: Hyperparameter Optimization via Two-Phase Transfer LearningYang Li, Yu Shen, Huaijun Jiang, Wentao Zhang, Zhi Yang 0001, Ce Zhang 0001, Bin Cui 0001. 956-966 [doi]
• Transfer Learning based Search Space Design for Hyperparameter TuningYang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang, Bin Cui. 967-977 [doi]
• Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity RecognitionYinghao Li, Le Song, Chao Zhang. 978-988 [doi]
• Graph Structural Attack by Perturbing Spectral DistanceLu Lin, Ethan Blaser, Hongning Wang. 989-998 [doi]
• Deep Representations for Time-varying Brain DatasetsSikun Lin, Shuyun Tang, Scott T. Grafton, Ambuj K. Singh. 999-1009 [doi]
• Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse ProblemsChen Ling, Junji Jiang, Junxiang Wang, Zhao Liang 0002. 1010-1020 [doi]
• Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking GraphAiwei Liu, Xuming Hu, Li Lin 0011, Lijie Wen. 1021-1030 [doi]
• Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced DimensionalityChengchang Liu, Shuxian Bi, Luo Luo, John C. S. Lui. 1031-1041 [doi]
• MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal ForecastingDachuan Liu, Jin Wang 0007, Shuo Shang, Peng Han. 1042-1050 [doi]
• User-Event Graph Embedding Learning for Context-Aware RecommendationDugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming 0001. 1051-1059 [doi]
• Graph-in-Graph Network for Automatic Gene Ontology Description GenerationFenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang 0012. 1060-1068 [doi]
• Graph Rationalization with Environment-based AugmentationsGang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang 0001. 1069-1078 [doi]
• Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category DetectionHan Liu, Feng Zhang, Xiaotong Zhang 0003, Siyang Zhao, Junjie Sun, Hong Yu 0005, Xianchao Zhang. 1079-1087 [doi]
• Fair Representation Learning: An Alternative to Mutual InformationJi Liu, Zenan Li, Yuan Yao, Feng Xu 0007, Xiaoxing Ma, Miao Xu, Hanghang Tong. 1088-1097 [doi]
• Joint Knowledge Graph Completion and Question AnsweringLihui Liu, Boxin Du, JieJun Xu, Yinglong Xia, Hanghang Tong. 1098-1108 [doi]
• RL2: A Call for Simultaneous Representation Learning and Rule Learning for Graph StreamsQu Liu, Tingjian Ge. 1109-1119 [doi]
• Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical QueriesXiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu 0014, Yuxiao Dong, Jie Tang. 1120-1130 [doi]
• UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous GraphsYang Liu, Xiang Ao 0001, Fuli Feng, Qing He. 1131-1140 [doi]
• Practical Counterfactual Policy Learning for Top-K RecommendationsYaxu Liu, Jui-Nan Yen, Bo-Wen Yuan, Rundong Shi, Peng Yan, Chih-Jen Lin. 1141-1151 [doi]
• Geometer: Graph Few-Shot Class-Incremental Learning via Prototype RepresentationBin Lu 0005, Xiaoying Gan, Lina Yang, Weinan Zhang 0001, Luoyi Fu, Xinbing Wang. 1152-1161 [doi]
• Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge TransferBin Lu 0005, Xiaoying Gan, Weinan Zhang 0001, Huaxiu Yao, Luoyi Fu, Xinbing Wang. 1162-1172 [doi]
• Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data StreamsYue Lu, Renjie Wu 0001, Abdullah Mueen 0001, Maria A. Zuluaga, Eamonn J. Keogh. 1173-1182 [doi]
• S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?Shuang Luo, Yinchuan Li, Jiahui Li 0003, Kun Kuang, Furui Liu, Yunfeng Shao, Chao Wu. 1183-1191 [doi]
• Learning Differential Operators for Interpretable Time Series ModelingYingtao Luo, Chang Xu 0008, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian 0002. 1192-1201 [doi]
• Learning Causal Effects on HypergraphsJing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan. 1202-1212 [doi]
• ML4S: Learning Causal Skeleton from Vicinal GraphsPingchuan Ma 0004, Rui Ding 0001, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang 0001. 1213-1223 [doi]
• Non-stationary Time-aware Kernelized Attention for Temporal Event PredictionYu Ma, Zhining Liu 0001, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu. 1224-1232 [doi]
• CrossCBR: Cross-view Contrastive Learning for Bundle RecommendationYunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua. 1233-1241 [doi]
• Discovering Invariant and Changing Mechanisms from DataSarah Mameche, David Kaltenpoth, Jilles Vreeken. 1242-1252 [doi]
• Learning Models of Individual Behavior in ChessReid McIlroy-Young, Russell Wang, Siddhartha Sen 0001, Jon M. Kleinberg, Ashton Anderson. 1253-1263 [doi]
• Minimizing Congestion for Balanced DominatorsYosuke Mizutani, Annie Staker, Blair D. Sullivan. 1264-1274 [doi]
• Extracting Relevant Information from User's Utterances in Conversational Search and RecommendationAli Montazeralghaem, James Allan. 1275-1283 [doi]
• Nonlinearity Encoding for Extrapolation of Neural NetworksGyoung S. Na, Chanyoung Park. 1284-1294 [doi]
• Learning Fair Representation via Distributional Contrastive DisentanglementChangdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song. 1295-1305 [doi]
• Predicting Opinion Dynamics via Sociologically-Informed Neural NetworksMaya Okawa, Tomoharu Iwata. 1306-1316 [doi]
• FedWalk: Communication Efficient Federated Unsupervised Node Embedding with Differential PrivacyQiying Pan, Yifei Zhu. 1317-1326 [doi]
• MetaV: A Meta-Verifier Approach to Task-Agnostic Model FingerprintingXudong Pan, Yifan Yan, Mi Zhang, Min Yang. 1327-1336 [doi]
• Core-periphery Models for HypergraphsMarios Papachristou, Jon M. Kleinberg. 1337-1347 [doi]
• Compute Like Humans: Interpretable Step-by-step Symbolic Computation with Deep Neural NetworkShuai Peng, Di Fu, Yong Cao, Yijun Liang, Gu Xu, Liangcai Gao, Zhi Tang. 1348-1357 [doi]
• Bilateral Dependency Optimization: Defending Against Model-inversion AttacksXiong Peng, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han 0003. 1358-1367 [doi]
• Evaluating Knowledge Graph Accuracy Powered by Optimized Human-machine CollaborationYifan Qi, Weiguo Zheng, Liang Hong, Lei Zou 0001. 1368-1378 [doi]
• Neural Bandit with Arm Group GraphYunzhe Qi, Yikun Ban, Jingrui He. 1379-1389 [doi]
• Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive LearningYiyue Qian, Yiming Zhang 0002, Qianlong Wen, Yanfang Ye, Chuxu Zhang. 1390-1400 [doi]
• External Knowledge Infusion for Tabular Pre-training Models with Dual-adaptersCan Qin, SungChul Kim, Handong Zhao, Tong Yu 0001, Ryan A. Rossi, Yun Fu 0001. 1401-1409 [doi]
• Releasing Private Data for Numerical QueriesYuan Qiu, Wei Dong, Ke Yi 0001, Bin Wu, Feifei Li. 1410-1419 [doi]
• Importance Prioritized Policy DistillationXinghua Qu, Yew-Soon Ong, Abhishek Gupta 0001, Pengfei Wei, Zhu Sun, Zejun Ma. 1420-1429 [doi]
• Synthesising Audio Adversarial Examples for Automatic Speech RecognitionXinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew-Soon Ong, Zejun Ma. 1430-1440 [doi]
• p-Meta: Towards On-device Deep Model AdaptationZhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele. 1441-1451 [doi]
• Fair and Interpretable Models for Survival AnalysisMd. Mahmudur Rahman, Sanjay Purushotham. 1452-1462 [doi]
• Graph-Flashback Network for Next Location RecommendationXuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, Peng Han. 1463-1471 [doi]
• SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge GraphsHongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans. 1472-1482 [doi]
• DICE: Domain-attack Invariant Causal Learning for Improved Data Privacy Protection and Adversarial RobustnessQibing Ren, Yiting Chen, Yichuan Mo, Qitian Wu, Junchi Yan. 1483-1492 [doi]
• Variational Flow Graphical ModelShaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li. 1493-1503 [doi]
• Semi-supervised Drifted Stream Learning with Short LookbackWeijieying Ren, Pengyang Wang, Xiaolin Li, Charles E. Hughes, Yanjie Fu. 1504-1513 [doi]
• Fair Ranking as Fair Division: Impact-Based Individual Fairness in RankingYuta Saito, Thorsten Joachims. 1514-1524 [doi]
• A Generalized Backward Compatibility MetricTomoya Sakai. 1525-1535 [doi]
• Balancing Bias and Variance for Active Weakly Supervised LearningHitesh Sapkota, Qi Yu 0001. 1536-1546 [doi]
• On Missing Labels, Long-tails and Propensities in Extreme Multi-label ClassificationErik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski. 1547-1557 [doi]
• Active Model Adaptation Under Unknown ShiftJie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yu-Feng Li. 1558-1566 [doi]
• Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series ForecastingZezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu. 1567-1577 [doi]
• Multi-View Clustering for Open Knowledge Base CanonicalizationWei Shen 0004, Yang Yang, Yinan Liu. 1578-1588 [doi]
• Deep Learning for Prognosis Using Task-fMRI: A Novel Architecture and Training SchemeGe Shi, Jason Smucny, Ian Davidson. 1589-1597 [doi]
• Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain AdaptationWeili Shi, Ronghang Zhu, Sheng Li 0001. 1598-1606 [doi]
• State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and SimulationZijian Shi, John Cartlidge. 1607-1615 [doi]
• Robust and Informative Text Augmentation (RITA) via Constrained Worst-Case Transformations for Low-Resource Named Entity RecognitionHyunwoo Sohn, Baekkwan Park. 1616-1624 [doi]
• GUIDE: Group Equality Informed Individual Fairness in Graph Neural NetworksWeihao Song, Yushun Dong, Ninghao Liu, Jundong Li. 1625-1634 [doi]
• Learning on Graphs with Out-of-Distribution NodesYu Song, Donglin Wang. 1635-1645 [doi]
• RGVisNet: A Hybrid Retrieval-Generation Neural Framework Towards Automatic Data Visualization GenerationYuanfeng Song, Xuefang Zhao, Raymond Chi-Wing Wong, Di Jiang. 1646-1655 [doi]
• Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node ClassificationZixing Song, Yifei Zhang, Irwin King. 1656-1665 [doi]
• ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging DataYao Su, Zhentian Qian, Lifang He 0001, Xiangnan Kong. 1666-1675 [doi]
• Detecting Arbitrary Order Beneficial Feature Interactions for Recommender SystemsYixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang. 1676-1686 [doi]
• Knowledge Enhanced Search Result DiversificationZhan Su, Zhicheng Dou, Yutao Zhu 0001, Ji-Rong Wen. 1687-1695 [doi]
• Causal Attention for Interpretable and Generalizable Graph ClassificationYongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He 0001, Tat-Seng Chua. 1696-1705 [doi]
• Demystify Hyperparameters for Stochastic Optimization with Transferable RepresentationsJianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang. 1706-1716 [doi]
• GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural NetworksMingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, Xin Wang. 1717-1727 [doi]
• pureGAM: Learning an Inherently Pure Additive ModelXingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang 0001. 1728-1738 [doi]
• Learning Optimal Priors for Task-Invariant Representations in Variational AutoencodersHiroshi Takahashi, Tomoharu Iwata, Atsutoshi Kumagai, Sekitoshi Kanai, Masanori Yamada, Yuki Yamanaka, Hisashi Kashima. 1739-1748 [doi]
• Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and HeuristicsSuhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Michal Osadnik. 1749-1759 [doi]
• Incremental Cognitive Diagnosis for Intelligent EducationShiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang. 1760-1770 [doi]
• Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure UncertaintyChristopher Tran 0001, Elena Zheleva. 1787-1797 [doi]
• Aligning Dual Disentangled User Representations from Ratings and Textual ContentNhu-Thuat Tran, Hady W. Lauw. 1798-1806 [doi]
• Dense Feature Tracking of Atmospheric Winds with Deep Optical FlowThomas J. Vandal, Kate Duffy, Will McCarty, Akira Sewnath, Ramakrishna R. Nemani. 1807-1815 [doi]
• Towards Representation Alignment and Uniformity in Collaborative FilteringChenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang 0006, Chong Chen 0001, Yiqun Liu 0001, Shaoping Ma. 1816-1825 [doi]
• Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space ReconstructionDongjie Wang, Yanjie Fu, Kunpeng Liu 0001, Xiaolin Li, Yan Solihin. 1826-1834 [doi]
• A Model-Agnostic Approach to Differentially Private Topic MiningHan Wang, Jayashree Sharma, Shuya Feng, Kai Shu, Yuan Hong. 1835-1845 [doi]
• Toward Learning Robust and Invariant Representations with Alignment Regularization and Data AugmentationHaohan Wang, Zeyi Huang, Xindi Wu, Eric P. Xing. 1846-1856 [doi]
• Estimating Individualized Causal Effect with Confounded InstrumentsHaotian Wang 0001, Wenjing Yang 0002, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu 0001, Kun Kuang. 1857-1867 [doi]
• Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-DistributionJiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma. 1868-1877 [doi]
• Streaming Graph Neural Networks with Generative ReplayJunshan Wang, Wenhao Zhu, Guojie Song, Liang Wang. 1878-1888 [doi]
• Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL ParsingLihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Jian Sun, Fei Huang, Luo Si, Yongbin Li. 1889-1898 [doi]
• Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with TransformerMinrui Wang, Mingxiao Feng, Wengang Zhou, Houqiang Li. 1899-1909 [doi]
• Task-Adaptive Few-shot Node ClassificationSong Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li. 1910-1919 [doi]
• Partial Label Learning with Discrimination AugmentationWei Wang, Min-Ling Zhang. 1920-1928 [doi]
• Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt LearningXiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao. 1929-1937 [doi]
• Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute LeakageYu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr. 1938-1948 [doi]
• Graph Neural Networks with Node-wise ArchitectureZhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding. 1949-1958 [doi]
• Debiasing Learning for Membership Inference Attacks Against Recommender SystemsZihan Wang, Na Huang, Fei Sun 0001, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren. 1959-1968 [doi]
• Invariant Preference Learning for General Debiasing in RecommendationZimu Wang, Yue He 0001, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui 0001. 1969-1978 [doi]
• An Embedded Feature Selection Framework for ControlJiawen Wei, Fangyuan Wang, Wanxin Zeng, Wenwei Lin, Ning Gui. 1979-1988 [doi]
• Comprehensive Fair Meta-learned Recommender SystemTianxin Wei, Jingrui He. 1989-1999 [doi]
• SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin LossYing Wei, Qi Li. 2000-2008 [doi]
• Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose PredictionQianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang. 2009-2019 [doi]
• Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture ModelsTyler Wilson, Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo. 2020-2028 [doi]
• Multi-fidelity Hierarchical Neural ProcessesDongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu. 2029-2038 [doi]
• Domain Adaptation with Dynamic Open-Set TargetsJun Wu 0019, Jingrui He. 2039-2049 [doi]
• Adversarial Gradient Driven Exploration for Deep Click-Through Rate PredictionKailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng. 2050-2058 [doi]
• CLARE: A Semi-supervised Community Detection AlgorithmXixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu. 2059-2069 [doi]
• Geometric Policy Iteration for Markov Decision ProcessesYue Wu, Jesús A. De Loera. 2070-2078 [doi]
• Non-stationary A/B TestsYuhang Wu, Zeyu Zheng, Guangyu Zhang, Zuohua Zhang, Chu Wang. 2079-2089 [doi]
• Robust Tensor Graph Convolutional Networks via T-SVD based Graph AugmentationZhebin Wu, Lin Shu, Ziyue Xu 0002, Yaomin Chang, Chuan Chen 0001, Zibin Zheng. 2090-2099 [doi]
• Self-Supervised Hypergraph Transformer for Recommender SystemsLianghao Xia, Chao Huang 0001, Chuxu Zhang. 2100-2109 [doi]
• Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted DataXiaobo Xia, Shuo Shan, Mingming Gong, Nannan Wang, Fei Gao, Haikun Wei, Tongliang Liu. 2110-2119 [doi]
• RetroGraph: Retrosynthetic Planning with Graph SearchShufang Xie 0003, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang 0016, Tao Qin. 2120-2129 [doi]
• Ultrahyperbolic Knowledge Graph EmbeddingsBo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou 0001, Steffen Staab. 2130-2139 [doi]
• End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel NetworksZiran Xiong, Wanli Shi, Bin Gu 0001. 2140-2150 [doi]
• MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory PredictionYuan Xu, Jiajie Xu 0001, Jing Zhao, Kai Zheng, An Liu 0002, Lei Zhao, Xiaofang Zhou 0001. 2151-2159 [doi]
• Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding ApproachGe Yan, Yehui Tang, Junchi Yan. 2160-2168 [doi]
• Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization ApproachJie Yan, Yunlei Lu, Liting Chen, Si-qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang. 2169-2179 [doi]
• On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain AdaptionYikai Yan, Chaoyue Niu, Renjie Gu, Fan Wu 0006, ShaoJie Tang, Lifeng Hua, Chengfei Lyu, Guihai Chen. 2180-2190 [doi]
• Enhancing Machine Learning Approaches for Graph Optimization Problems with Diversifying Graph AugmentationChen-Hsu Yang, Chih-Ya Shen. 2191-2201 [doi]
• Causal Discovery on Non-Euclidean DataJing Yang 0008, Kai Xie, Ning An. 2202-2211 [doi]
• HICF: Hyperbolic Informative Collaborative FilteringMenglin Yang 0001, Zhihao Li, Min Zhou 0006, Jiahong Liu 0001, Irwin King. 2212-2221 [doi]
• Toward Real-life Dialogue State Tracking Involving Negative Feedback UtterancesPuhai Yang, Heyan Huang, Wei Wei 0002, Xian-Ling Mao. 2222-2232 [doi]
• Numerical Tuple Extraction from Tables with Pre-trainingQingping Yang, Yixuan Cao, Ping Luo 0001. 2233-2241 [doi]
• Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence DistributionsRui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu. 2242-2252 [doi]
• Reinforcement Subgraph Reasoning for Fake News DetectionRuichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie 0001. 2253-2262 [doi]
• Multi-Behavior Hypergraph-Enhanced Transformer for Sequential RecommendationYuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li. 2263-2274 [doi]
• TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity ComputationDi Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi. 2275-2285 [doi]
• Learning Classifiers under Delayed Feedback with a Time Window AssumptionShota Yasui, Masahiro Kato. 2286-2295 [doi]
• Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series ForecastingJunchen Ye, Zihan Liu, Bowen Du 0001, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong 0001. 2296-2306 [doi]
• LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based OptimizationMuchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma. 2307-2315 [doi]
• Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment RegimesChangchang Yin, Ruoqi Liu, Jeffrey M. Caterino, Ping Zhang 0016. 2316-2326 [doi]
• Nimble GNN Embedding with Tensor-Train DecompositionChunxing Yin, Da Zheng, Israt Nisa, Christos Faloutsos, George Karypis, Richard W. Vuduc. 2327-2335 [doi]
• Accurate Node Feature Estimation with Structured Variational Graph AutoencoderJaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang. 2336-2346 [doi]
• Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data StreamSusik Yoon, YoungJun Lee, Jae-Gil Lee 0001, Byung Suk Lee. 2347-2357 [doi]
• ROLAND: Graph Learning Framework for Dynamic GraphsJiaxuan You, Tianyu Du, Jure Leskovec. 2358-2366 [doi]
• Availability Attacks Create ShortcutsDa Yu, Huishuai Zhang, Wei Chen, Jian Yin 0001, Tie-Yan Liu. 2367-2376 [doi]
• Multiplex Heterogeneous Graph Convolutional NetworkPengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong. 2377-2387 [doi]
• MDP2 Forest: A Constrained Continuous Multi-dimensional Policy Optimization Approach for Short-video RecommendationSizhe Yu, Ziyi Liu, Shixiang Wan, Jia Zheng, Zang Li, Fan Zhou. 2388-2398 [doi]
• Intrinsic-Motivated Sensor Management: Exploring with Physical SurpriseJingyi Yuan, Yang Weng, Erik Blasch. 2399-2407 [doi]
• Dual Bidirectional Graph Convolutional Networks for Zero-shot Node ClassificationQin Yue, Jiye Liang, Junbiao Cui, Liang Bai. 2408-2417 [doi]
• M3Care: Learning with Missing Modalities in Multimodal Healthcare DataChaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao. 2418-2428 [doi]
• Variational Graph Author Topic ModelingDelvin Ce Zhang, Hady Wirawan Lauw. 2429-2438 [doi]
• Physics-infused Machine Learning for Crowd SimulationGuozhen Zhang, Zihan Yu, Depeng Jin, Yong Li. 2439-2449 [doi]
• Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge TransferQiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang 0001. 2450-2460 [doi]
• M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive LearningShaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu. 2461-2470 [doi]
• Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging PricingWeijia Zhang 0003, Hao Liu 0026, Jindong Han, Yong Ge, Hui Xiong 0001. 2471-2481 [doi]
• MetroGAN: Simulating Urban Morphology with Generative Adversarial NetworkWeiyu Zhang, Yiyang Ma, Di Zhu 0004, Lei Dong, Yu Liu 0003. 2482-2492 [doi]
• Model Degradation Hinders Deep Graph Neural NetworksWentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui 0001. 2493-2503 [doi]
• Counteracting User Attention Bias in Music Streaming Recommendation via Reward ModificationXiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen. 2504-2514 [doi]
• Improving Social Network Embedding via New Second-Order Continuous Graph Neural NetworksYanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang. 2515-2523 [doi]
• COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive LearningYifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King. 2524-2534 [doi]
• Unsupervised Key Event Detection from Massive Text CorporaYunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han 0001. 2535-2544 [doi]
• FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious ClientsZaixi Zhang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong. 2545-2555 [doi]
• Adaptive Learning for Weakly Labeled StreamsZhen-yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou. 2556-2564 [doi]
• Adaptive Fairness-Aware Online Meta-Learning for Changing EnvironmentsChen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen 0001. 2565-2575 [doi]
• MT-FlowFormer: A Semi-Supervised Flow Transformer for Encrypted Traffic ClassificationRuijie Zhao, Xianwen Deng, Zhicong Yan, Jun Ma, Zhi Xue, Yijun Wang. 2576-2584 [doi]
• Integrity Authentication in Tree ModelsWeijie Zhao 0001, Yingjie Lao, Ping Li. 2585-2593 [doi]
• Contrastive Learning with Complex HeterogeneityLecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He. 2594-2604 [doi]
• Instant Graph Neural Networks for Dynamic GraphsYanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang 0001. 2605-2615 [doi]
• KRATOS: Context-Aware Cell Type Classification and Interpretation using Joint Dimensionality Reduction and ClusteringZihan Zhou 0013, Zijia Du, Somali Chaterji. 2616-2625 [doi]
• Unified 2D and 3D Pre-Training of Molecular RepresentationsJinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie 0003, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu. 2626-2636 [doi]
• How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical ImplicationsJiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra. 2637-2647 [doi]
• A Nearly-Linear Time Algorithm for Minimizing Risk of Conflict in Social NetworksLiwang Zhu, Zhongzhi Zhang. 2648-2656 [doi]
• A Process-Aware Decision Support System for Business ProcessesPrerna Agarwal, Buyu Gao, Siyu Huo, Prabhat Reddy, Sampath Dechu, Yazan Obeidi, Vinod Muthusamy, Vatche Isahagian, Sebastian Carbajales. 2673-2681 [doi]
• RCAD: Real-time Collaborative Anomaly Detection System for Mobile Broadband NetworksAzza H. Ahmed, Michael A. Riegler, Steven Alexander Hicks, Ahmed Elmokashfi. 2682-2691 [doi]
• Generalizable Floorplanner through Corner Block List Representation and Hypergraph EmbeddingMohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu. 2692-2702 [doi]
• ItemSage: Learning Product Embeddings for Shopping Recommendations at PinterestPaul Baltescu, Haoyu Chen, Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg. 2703-2711 [doi]
• Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural NetworksWendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng. 2712-2720 [doi]
• Personalized Chit-Chat Generation for Recommendation Using External Chat CorporaChangyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie 0001, Rui Yan 0001. 2721-2731 [doi]
• EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored SearchChi Chen, Hui Chen, Kangzhi Zhao, Junsheng Zhou, Li He, Hongbo Deng, Jian Xu, Bo Zheng, Yong Zhang, Chunxiao Xing. 2732-2740 [doi]
• BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion LearningJunru Chen, Yang Yang 0009, Tao Yu, YingYing Fan, Xiaolong Mo, Carl Yang. 2741-2751 [doi]
• Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream NetworksShengyu Chen, Jacob A. Zwart, Xiaowei Jia. 2752-2761 [doi]
• AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial NetworksTianyi Chen, Charalampos E. Tsourakakis. 2762-2770 [doi]
• Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of ArrivalZebin Chen, Xiaolin Xiao, Yue-jiao Gong, Jun Fang, Nan Ma, Hua Chai, Zhiguang Cao. 2771-2779 [doi]
• ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production ScaleGopinath Chennupati, Milind Rao, Gurpreet Chadha, Aaron Eakin, Anirudh Raju, Gautam Tiwari, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo, Andy Oberlin, Buddha Nandanoor, Prahalad Venkataramanan, Zheng Wu, Pankaj Sitpure. 2780-2788 [doi]
• Graph-based Multilingual Language Model: Leveraging Product Relations for Search RelevanceNurendra Choudhary, Nikhil Rao 0001, Karthik Subbian, Chandan K. Reddy. 2789-2799 [doi]
• Ask to Know More: Generating Counterfactual Explanations for Fake ClaimsShih-Chieh Dai, Yi-Li Hsu, Aiping Xiong, Lun-Wei Ku. 2800-2810 [doi]
• The Good, the Bad, and the Outliers: A Testing Framework for Decision Optimization Model LearningOrit Davidovich, Gheorghe-Teodor Bercea, Segev Wasserkrug. 2811-2821 [doi]
• Amazon Shop the Look: A Visual Search System for Fashion and HomeMing Du, Arnau Ramisa, Amit Kumar K. C, Sampath Chanda, Mengjiao Wang, Neelakandan Rajesh, Shasha Li, Yingchuan Hu, Tao Zhou, Nagashri Lakshminarayana, Son Tran, Doug Gray 0002. 2822-2830 [doi]
• Affective Signals in a Social Media Recommender SystemJane Dwivedi-Yu, Yi-Chia Wang, Lijing Qin, Cristian Canton-Ferrer, Alon Y. Halevy. 2831-2841 [doi]
• TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized RecommendationAhmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi. 2842-2850 [doi]
• Automatic Generation of Product-Image Sequence in E-commerceXiaochuan Fan, Chi Zhang 0012, Yong Yang, Yue Shang, Xueying Zhang, Zhen He, Yun Xiao, Bo Long, Lingfei Wu. 2851-2859 [doi]
• SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology DataMajid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li 0049, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore. 2860-2870 [doi]
• Large-Scale Acoustic Automobile Fault Detection: Diagnosing Engines Through SoundDennis Fedorishin, Justas Birgiolas, Deen Dayal Mohan, Livio Forte, Philip Schneider, Srirangaraj Setlur, Venu Govindaraju. 2871-2881 [doi]
• Precise Mobility Intervention for Epidemic Control Using Unobservable Information via Deep Reinforcement LearningTao Feng, Tong Xia, Xiaochen Fan, Huandong Wang, Zefang Zong, Yong Li. 2882-2892 [doi]
• Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding SystemsJack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudre, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan. 2893-2902 [doi]
• DP-GAT: A Framework for Image-based Disease Progression PredictionAlex Foo, Wynne Hsu, Mong-Li Lee, Gavin Siew Wei Tan. 2903-2912 [doi]
• Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-DemandDaniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues 0001, Francisco C. Pereira, Marco Pavone. 2913-2923 [doi]
• Applying Deep Learning Based Probabilistic Forecasting to Food Preparation Time for On-Demand Delivery ServiceChengliang Gao, Fan Zhang, Yue Zhou, Ronggen Feng, Qiang Ru, Kaigui Bian, Renqing He, Zhizhao Sun. 2924-2934 [doi]
• Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active LearningJiannan Guo 0003, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu 0001. 2935-2945 [doi]
• Automatic Controllable Product Copywriting for E-CommerceXiaojie Guo 0002, Qingkai Zeng, Meng Jiang 0001, Yun Xiao, Bo Long, Lingfei Wu. 2946-2956 [doi]
• Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-LearningZhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong. 2957-2967 [doi]
• Real-Time Rideshare Driver Supply Values Using Online Reinforcement LearningBenjamin Han, Hyungjun Lee, Sébastien Martin. 2968-2976 [doi]
• Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time SeriesSiho Han, Simon S. Woo. 2977-2986 [doi]
• Three-Stage Root Cause Analysis for Logistics Time Efficiency via Explainable Machine LearningShiqi Hao, Yang Liu, Yu Wang, Yuan Wang, Wenming Zhe. 2987-2996 [doi]
• Unsupervised Learning Style Classification for Learning Path Generation in Online Education PlatformsZhicheng He 0001, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang. 2997-3006 [doi]
• Greykite: Deploying Flexible Forecasting at Scale at LinkedInReza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Yi Su, Saad Eddin Al Orjany, Sishi Tang, Parvez Ahammad. 3007-3017 [doi]
• Learning Backward Compatible EmbeddingsWeihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao 0001, Karthik Subbian, Jure Leskovec. 3018-3028 [doi]
• ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu MapsJizhou Huang, Haifeng Wang 0001, Yibo Sun, Yunsheng Shi, Zhengjie Huang, An Zhuo, Shikun Feng. 3029-3039 [doi]
• DuIVA: An Intelligent Voice Assistant for Hands-free and Eyes-free Voice Interaction with the Baidu Maps AppJizhou Huang, Haifeng Wang, Shiqiang Ding, Shaolei Wang. 3040-3050 [doi]
• Rax: Composable Learning-to-Rank Using JAXRolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork. 3051-3060 [doi]
• A Fully Differentiable Set AutoencoderNikita Janakarajan, Jannis Born, Matteo Manica. 3061-3071 [doi]
• Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised LearningJiahao Ji, Jingyuan Wang, Junjie Wu 0002, Boyang Han, Junbo Zhang, Yu Zheng 0004. 3072-3080 [doi]
• Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human FeedbackTong Jia, Ying Li, Yong Yang, Gang Huang, Zhonghai Wu. 3081-3089 [doi]
• T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-LabelingYiren Jian, Erik Kruus, Martin Renqiang Min. 3090-3097 [doi]
• Analyzing Online Transaction Networks with Network MotifsJiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui 0001. 3098-3106 [doi]
• Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical IndustryDovile Juodelyte, Veronika Cheplygina, Therese Graversen, Philippe Bonnet. 3107-3115 [doi]
• Vexation-Aware Active Learning for On-Menu Restaurant Dish AvailabilityJean-François Kagy, Flip Korn, Afshin Rostamizadeh, Chris Welty. 3116-3126 [doi]
• COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline GenerationYashal Shakti Kanungo, Gyanendra Das, Pooja A, Sumit Negi. 3127-3136 [doi]
• Preventing Catastrophic Forgetting in Continual Learning of New Natural Language TasksSudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko. 3137-3145 [doi]
• SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking DataHyunsung Kim, Bit Kim, Dongwook Chung, Jinsung Yoon, Sang-Ki Ko. 3146-3156 [doi]
• Fast Mining and Forecasting of Co-evolving Epidemiological Data StreamsTasuku Kimura, Yasuko Matsubara, Koki Kawabata, Yasushi Sakurai. 3157-3167 [doi]
• A/B Testing Intuition Busters: Common Misunderstandings in Online Controlled ExperimentsRon Kohavi, Alex Deng, Lukas Vermeer. 3168-3177 [doi]
• Multi-Aspect Dense RetrievalWeize Kong, Swaraj Khadanga, Cheng Li 0012, Shaleen Kumar Gupta, Mingyang Zhang 0001, Wensong Xu, Michael Bendersky. 3178-3186 [doi]
• Self-Supervised Augmentation and Generation for Multi-lingual Text Advertisements at BingXiaoyu Kou, Tianqi Zhao, Fan Zhang, Song Li, Qi Zhang. 3187-3196 [doi]
• A New Generation of Perspective API: Efficient Multilingual Character-level TransformersAlyssa Lees, Vinh Q. Tran 0002, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman. 3197-3207 [doi]
• EdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on BlockchainBo Li 0103, Qiang He 0001, Liang Yuan, Feifei Chen 0001, Lingjuan Lyu, Yun Yang 0001. 3208-3218 [doi]
• Design Domain Specific Neural Network via Symbolic TestingHui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi. 3219-3229 [doi]
• Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention RecognitionMingjie Li 0005, Zeyan Li, Kanglin Yin, Xiaohui Nie, Wenchi Zhang, Kaixin Sui, Dan Pei. 3230-3240 [doi]
• AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking SystemXiang Li, Xiaojiang Zhou, Yao Xiao, Peihao Huang, Dayao Chen, Sheng Chen, Yunsen Xian. 3241-3249 [doi]
• Arbitrary Distribution Modeling with Censorship in Real-Time Bidding AdvertisingXu Li, Michelle Ma Zhang, Zhenya Wang, Youjun Tong. 3250-3258 [doi]
• Automatically Discovering User Consumption Intents in MeituanYinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li. 3259-3269 [doi]
• Towards Learning Disentangled Representations for Time SeriesYuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu. 3270-3278 [doi]
• TaxoTrans: Taxonomy-Guided Entity TranslationZhuliu Li, Yiming Wang, Xiao Yan, Weizhi Meng, Yanen Li, Jaewon Yang. 3279-3287 [doi]
• Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion ParametersXiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li 0006, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang 0004, Ce Zhang 0001, Ji Liu 0002. 3288-3298 [doi]
• Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue SystemsTing-En Lin, Yuchuan Wu, Fei Huang, Luo Si, Jian Sun, Yongbin Li. 3299-3308 [doi]
• AdaFS: Adaptive Feature Selection in Deep Recommender SystemWeilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu 0001, Xian Wu. 3309-3317 [doi]
• A Logic Aware Neural Generation Method for Explainable Data-to-textXiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang. 3318-3326 [doi]
• Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant RecommendationZihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen. 3327-3335 [doi]
• Rapid Regression Detection in Software Deployments through Sequential TestingMichael Lindon, Chris Sanden, Vaché Shirikian. 3336-3346 [doi]
• Task-optimized User Clustering based on Mobile App Usage for Cold-start RecommendationsBulou Liu, Bing Bai, Weibang Xie, Yiwen Guo, Hao Chen 0003. 3347-3356 [doi]
• User Behavior Pre-training for Online Fraud DetectionCan Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang, Xiang Ao 0001. 3357-3365 [doi]
• Modeling Persuasion Factor of User Decision for RecommendationChang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li. 3366-3376 [doi]
• HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health RecordsHanyang Liu, Sunny S. Lou, Benjamin C. Warner, Derek R. Harford, Thomas George Kannampallil, Chenyang Lu 0001. 3377-3387 [doi]
• Lion: A GPU-Accelerated Online Serving System for Web-Scale Recommendation at BaiduHao Liu 0026, Qian Gao, Xiaochao Liao, Guangxing Chen, Hao Xiong, Silin Ren, Guobao Yang, Zhiwei Zha. 3388-3397 [doi]
• No One Left Behind: Inclusive Federated Learning over Heterogeneous DevicesRuixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen 0001, Xing Xie 0001. 3398-3406 [doi]
• Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand DeliveryWei Liu, Yi Ding, Shuai Wang 0008, Yu Yang 0010, Desheng Zhang. 3407-3417 [doi]
• OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge ServicesXiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang. 3418-3428 [doi]
• Pretraining Representations of Multi-modal Multi-query E-commerce SearchXinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, Bo Zheng. 3429-3437 [doi]
• Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service SystemsYudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang 0001. 3438-3446 [doi]
• Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerceEleanor Loh, Jalaj Khandelwal, Brian Regan, Duncan A. Little. 3447-3457 [doi]
• Uncovering the Heterogeneous Effects of Preference Diversity on User Activeness: A Dynamic Mixture ModelYunfei Lu, Peng Cui 0001, Linyun Yu, Lei Li 0005, Wenwu Zhu 0001. 3458-3467 [doi]
• Retrieval-Based Gradient Boosting Decision Trees for Disease Risk AssessmentHandong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang 0001, Wenbo Sheng, Shaodian Zhang, Yong Yu 0001. 3468-3476 [doi]
• An Online Multi-task Learning Framework for Google Feed Ads Auction ModelsNing Ma, Mustafa Ispir, Yuan Li, Yongpeng Yang, Zhe Chen, Derek Zhiyuan Cheng, Lan Nie, Kishor Barman. 3477-3485 [doi]
• CS-RAD: Conditional Member Status Refinement and Ability Discovery for Social Network ApplicationsYiming Ma. 3486-3494 [doi]
• Semantic Retrieval at WalmartAlessandro Magnani, Feng Liu, Suthee Chaidaroon, Sachin Yadav, Praveen Reddy Suram, Ajit Puthenputhussery, Sijie Chen, Min Xie 0002, Anirudh Kashi, Tony Lee, Ciya Liao. 3495-3503 [doi]
• BE3R: BERT based Early-Exit Using Expert RoutingSourab Mangrulkar, Ankith M. S, Vivek Sembium. 3504-3512 [doi]
• Looper: An End-to-End ML Platform for Product DecisionsIgor L. Markov, Hanson Wang, Nitya S. Kasturi, Shaun Singh, Mia R. Garrard, Yin Huang, Sze Wai Celeste Yuen, Sarah Tran, Zehui Wang, Igor Glotov, Tanvi Gupta, Peng Chen, Boshuang Huang, Xiaowen Xie, Michael Belkin, Sal Uryasev, Sam Howie, Eytan Bakshy, Norm Zhou. 3513-3523 [doi]
• Proactively Reducing the Hate Intensity of Online Posts via Hate Speech NormalizationSarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty 0002. 3524-3534 [doi]
• CERAM: Coverage Expansion for Recommendations by Associating Discarded ModelsYoshiki Matsune, Kota Tsubouchi, Nobuhiko Nishio. 3535-3545 [doi]
• Packet Representation Learning for Traffic ClassificationXuying Meng, Yequan Wang, Runxin Ma, Haitong Luo, Xiang Li, Yujun Zhang. 3546-3554 [doi]
• Graph Neural Network Training and Data TieringSeungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-mei Hwu. 3555-3565 [doi]
• Towards Reliable Detection of Dielectric Hotspots in Thermal Images of the Underground Distribution NetworkFrançois Mirallès, Luc Cauchon, Marc-André Magnan, François Grégoire, Mouhamadou Makhtar Dione, Arnaud Zinflou. 3566-3574 [doi]
• Generating Examples from CLI Usage: Can Transformers Help?Roshanak Zilouchian Moghaddam, Spandan Garg, Colin B. Clement, Yevhen Mohylevskyy, Neel Sundaresan. 3575-3583 [doi]
• ASPIRE: Air Shipping Recommendation for E-commerce Products via Causal Inference FrameworkAbhirup Mondal, Anirban Majumder, Vineet Chaoji. 3584-3592 [doi]
• DNA-Stabilized Silver Nanocluster Design via Regularized Variational AutoencodersFariha Moomtaheen, Matthew Killeen, James Oswald, Anna Gonzàlez-Rosell, Peter Mastracco, Alexander Gorovits, Stacy M. Copp, Petko Bogdanov. 3593-3602 [doi]
• GradMask: Gradient-Guided Token Masking for Textual Adversarial Example DetectionHan Cheol Moon, Shafiq R. Joty, Xu Chi. 3603-3613 [doi]
• Solar: Science of Entity Loss AttributionAnshuman Mourya, Prateek Sircar, Anirban Majumder, Deepak Gupta. 3614-3622 [doi]
• Pricing the Long Tail by Explainable Product Aggregation and Monotonic BanditsMarco Mussi, Gianmarco Genalti, Francesco Trovò, Alessandro Nuara, Nicola Gatti 0001, Marcello Restelli. 3623-3633 [doi]
• Counterfactual Phenotyping with Censored Time-to-EventsChirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski. 3634-3644 [doi]
• Crowdsourcing with Contextual UncertaintyViet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Narjes Torabi, Nimar S. Arora, Udi Weinsberg, Michael Tingley. 3645-3655 [doi]
• Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning ModelsDavid Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi. 3671-3681 [doi]
• Human-in-the-Loop Large-Scale Predictive Maintenance of WorkstationsAlexander V. Nikitin, Samuel Kaski. 3682-3690 [doi]
• GraphWorld: Fake Graphs Bring Real Insights for GNNsJohn Palowitch, Anton Tsitsulin, Brandon Mayer, Bryan Perozzi. 3691-3701 [doi]
• PinnerFormer: Sequence Modeling for User Representation at PinterestNikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg. 3702-3712 [doi]
• Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing AdsBochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao 0002, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang. 3713-3721 [doi]
• Temporal Multimodal Multivariate LearningHyoshin Park, Justice Darko, Niharika Deshpande, Venktesh Pandey, Hui Su, Masahiro Ono, Dedrick Barkely, Larkin Folsom, Derek J. Posselt, Steve Chien. 3722-3732 [doi]
• Downscaling Earth System Models with Deep LearningSungwon Park, Karandeep Singh, Arjun Nellikkattil, Elke Zeller, Tung-Duong Mai, Meeyoung Cha. 3733-3742 [doi]
• DocLayNet: A Large Human-Annotated Dataset for Document-Layout SegmentationBirgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, Peter W. J. Staar. 3743-3751 [doi]
• Multi-objective Optimization of Notifications Using Offline Reinforcement LearningPrakruthi Prabhakar, Yiping Yuan, Guangyu Yang, Wensheng Sun, Ajith Muralidharan. 3752-3760 [doi]
• What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?Hangwei Qian, Tian Tian, Chunyan Miao. 3761-3771 [doi]
• Intelligent Request Strategy Design in Recommender SystemXufeng Qian, Yue Xu, FuYu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu 0001. 3772-3782 [doi]
• Characterizing Covid Waves via Spatio-Temporal DecompositionKevin Quinn, Evimaria Terzi, Mark Crovella. 3783-3791 [doi]
• NxtPost: User To Post Recommendations In Facebook GroupsKaushik Rangadurai, Yiqun Liu 0006, Siddarth Malreddy, Xiaoyi Liu, Piyush Maheshwari, Vishwanath Sangale, Fedor Borisyuk. 3792-3800 [doi]
• Profiling Deep Learning Workloads at Scale using Amazon SageMakerNathalie Rauschmayr, Sami Kama, Muhyun Kim, Miyoung Choi, Krishnaram Kenthapadi. 3801-3809 [doi]
• Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records ModelingHouxing Ren, Jingyuan Wang, Wayne Xin Zhao. 3810-3818 [doi]
• ChemicalX: A Deep Learning Library for Drug Pair ScoringBenedek Rozemberczki, Charles Tapley Hoyt, Anna Gogleva, Piotr Grabowski, Klas Karis, Andrej Lamov, Andriy Nikolov, Sebastian Nilsson, Michaël Ughetto, Yu Wang, Tyler Derr, Benjamin M. Gyori. 3819-3828 [doi]
• Service Time Prediction for Delivery Tasks via Spatial Meta-LearningSijie Ruan, Cheng Long, Zhipeng Ma, Jie Bao 0003, Tianfu He, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng. 3829-3837 [doi]
• Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing MarketplaceSoheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Qin, Jinhan Mei, Cheng Zhang, Qianying Meng, Jia Xu. 3838-3848 [doi]
• Semantic Aware Answer Sentence Selection Using Self-Learning Based Domain AdaptationRajdeep Sarkar, Sourav Dutta, Haytham Assem, Mihael Arcan, John P. McCrae. 3849-3857 [doi]
• Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term SpaceYu Sha, Shuiping Gou, Johannes Faber, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou. 3858-3868 [doi]
• Generalized Deep Mixed ModelsJun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Yunbo Ouyang, Qiang Charles Xiao, Qingquan Song, Yi (Alice) Wu, Haichao Wei, Huiji Gao. 3869-3877 [doi]
• Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor ShoppingJongkyung Shin, Changhun Lee, Chiehyeon Lim, Yunmo Shin, Junseok Lim. 3878-3888 [doi]
• Septor: Seismic Depth Estimation Using Hierarchical Neural NetworksM. Ashraf Siddiquee, Vinicius M. A. Souza, Glenn Eli Baker, Abdullah Mueen 0001. 3889-3897 [doi]
• Seq2Event: Learning the Language of Soccer Using Transformer-based Match Event PredictionIan Simpson, Ryan J. Beal, Duncan Locke, Timothy J. Norman. 3898-3908 [doi]
• Friend Recommendations with Self-Rescaling Graph Neural NetworksXiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin 0001, Xing Xie 0001. 3909-3919 [doi]
• Counseling Summarization Using Mental Health Knowledge Guided Utterance FilteringAseem Srivastava, Tharun Suresh, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty 0002. 3920-3930 [doi]
• Type Linking for Query Understanding and Semantic SearchGiorgos Stoilos, Nikos Papasarantopoulos, Pavlos Vougiouklis, Patrik Bansky. 3931-3940 [doi]
• Few-shot Learning for Trajectory-based Mobile Game Cheating DetectionYueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng. 3941-3949 [doi]
• Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver RepositioningJiahui Sun, Haiming Jin, Zhaoxing Yang, Lu Su, Xinbing Wang. 3950-3960 [doi]
• CognitionNet: A Collaborative Neural Network for Play Style Discovery in Online Skill Gaming PlatformRukma Talwadker, Surajit Chakrabarty, Aditya Pareek, Tridib Mukherjee, Deepak Saini. 3961-3969 [doi]
• 4SDrug: Symptom-based Set-to-set Small and Safe Drug RecommendationYanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li 0005, Chaochao Chen 0001, Xiaolin Zheng, Vicki Hertzberg, Carl Yang. 3970-3980 [doi]
• What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu 0003, Jixue Liu, Yanchang Zhao, Tony Waters. 3981-3991 [doi]
• Reinforcement Learning-based Placement of Charging Stations in Urban Road NetworksLeonie von Wahl, Nicolas Tempelmeier, Ashutosh Sao, Elena Demidova. 3992-4000 [doi]
• A Graph Learning Based Framework for Billion-Scale Offline User IdentificationDaixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou. 4001-4009 [doi]
• Learning Supplementary NLP Features for CTR Prediction in Sponsored SearchDong Wang, Shaoguang Yan, Yunqing Xia, Kavé Salamatian, Weiwei Deng, Qi Zhang. 4010-4020 [doi]
• ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement LearningHaozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He 0001, Liang Wang, Bo Zheng. 4021-4031 [doi]
• NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang. 4032-4040 [doi]
• Learning to Discover Causes of Traffic Congestion with Limited Labeled DataMudan Wang, Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li. 4041-4049 [doi]
• RT-VeD: Real-Time VoI Detection on Edge Nodes with an Adaptive Model Selection FrameworkShuai Wang 0008, Junke Lu, Baoshen Guo, Zheng Dong 0002. 4050-4058 [doi]
• Representative Routes Discovery from Massive TrajectoriesTingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei. 4059-4069 [doi]
• CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade DistillationXiao-yu Wang, Bin Tan, Yonghui Guo, Tao Yang, Dongbo Huang, Lan Xu, Nikolaos M. Freris, Hao Zhou, Xiangyang Li 0001. 4070-4078 [doi]
• Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to DispatchYansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv. 4079-4089 [doi]
• CausalInt: Causal Inspired Intervention for Multi-Scenario RecommendationYichao Wang 0002, Huifeng Guo, Bo Chen 0023, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He 0001, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang. 4090-4099 [doi]
• Surrogate for Long-Term User Experience in Recommender SystemsYuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen. 4100-4109 [doi]
• FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph LearningZhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou. 4110-4120 [doi]
• Connecting the Hosts: Street-Level IP Geolocation with Graph Neural NetworksZhiyuan Wang, Fan Zhou, Wenxuan Zeng, Goce Trajcevski, Chunjing Xiao, Yong Wang, Kai Chen. 4121-4131 [doi]
• Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and ValuesZijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana 0001. 4132-4142 [doi]
• Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route PredictionHaomin Wen, Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, LiXia Wu, Haoyuan Hu, Huaiyu Wan. 4143-4152 [doi]
• Graph Neural Networks for Multimodal Single-Cell Data IntegrationHongzhi Wen, Jiayuan Ding, Wei Jin 0009, Yiqi Wang 0001, Yuying Xie, Jiliang Tang. 4153-4163 [doi]
• FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard SamplingChuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie 0001. 4164-4172 [doi]
• Interpretable Personalized ExperimentationHan Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, Eytan Bakshy. 4173-4183 [doi]
• Learning Large-scale Subsurface Simulations with a Hybrid Graph Network SimulatorTailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec. 4184-4194 [doi]
• A Framework for Multi-stage Bonus Allocation in Meal Delivery PlatformZhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun. 4195-4203 [doi]
• Multi Armed Bandit vs. A/B Tests in E-commence - Confidence Interval and Hypothesis Test Power PerspectivesDing Xiang, Rebecca West, Jiaqi Wang, Xiquan Cui, Jinzhou Huang. 4204-4214 [doi]
• Training Large-Scale News Recommenders with Pretrained Language Models in the LoopShitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie. 4215-4225 [doi]
• Contrastive Cross-domain Recommendation in MatchingRuobing Xie, Qi Liu 0050, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin. 4226-4236 [doi]
• G2NET: A General Geography-Aware Representation Network for Hotel Search RankingJia Xu 0005, Fei Xiong, Zulong Chen, Mingyuan Tao, Liangyue Li, Quan Lu. 4237-4247 [doi]
• COSSUM: Towards Conversation-Oriented Structured Summarization for Automatic Medical Insurance AssessmentSheng Xu, Xiaojun Wan 0001, Sen Hu, Mengdi Zhou, Teng Xu 0007, Hongbin Wang, Haitao Mi. 4248-4256 [doi]
• Mixture of Virtual-Kernel Experts for Multi-Objective User Profile ModelingZhenhui Xu, Meng Zhao, Liqun Liu, Lei Xiao, Xiaopeng Zhang, Bifeng Zhang. 4257-4267 [doi]
• Perioperative Predictions with Interpretable Latent RepresentationBing Xue, York Jiao, Thomas George Kannampallil, Bradley A. Fritz, Christopher King, Joanna Abraham, Michael Avidan, Chenyang Lu 0001. 4268-4278 [doi]
• Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility DataJiawei Xue, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, Satish V. Ukkusuri. 4279-4289 [doi]
• A Meta Reinforcement Learning Approach for Predictive Autoscaling in the CloudSiqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei 0001, Yangfei Zheng, Jianguo Li, James Zhang. 4290-4299 [doi]
• Scale Calibration of Deep Ranking ModelsLe Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork. 4300-4309 [doi]
• CMMD: Cross-Metric Multi-Dimensional Root Cause AnalysisShifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang. 4310-4320 [doi]
• DuARE: Automatic Road Extraction with Aerial Images and Trajectory Data at Baidu MapsJianzhong Yang, Xiaoqing Ye, Bin Wu, Yanlei Gu, Ziyu Wang, Deguo Xia, Jizhou Huang. 4321-4331 [doi]
• TAG: Toward Accurate Social Media Content Tagging with a Concept GraphJiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen. 4332-4341 [doi]
• CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch AttributionDi Yao, Chang-Gong, Lei Zhang, Sheng Chen, Jingping Bi. 4342-4352 [doi]
• Device-cloud Collaborative Recommendation via Meta ControllerJiangchao Yao, Feng Wang, Xichen Ding, Shaohu Chen, Bo Han, Jingren Zhou, Hongxia Yang. 4353-4362 [doi]
• ReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-CommerceShaowei Yao, Jiwei Tan, Xi Chen, Juhao Zhang, Xiaoyi Zeng, Keping Yang. 4363-4371 [doi]
• Multilingual Taxonomic Web Page Classification for Contextual Targeting at YahooEric Ye, Xiao Bai, Neil O'Hare, Eliyar Asgarieh, Kapil Thadani, Francisco Perez-Sorrosal, Sujyothi Adiga. 4372-4380 [doi]
• A Stochastic Shortest Path Algorithm for Optimizing Spaced Repetition SchedulingJunyao Ye, Jingyong Su, Yilong Cao. 4381-4390 [doi]
• Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale GraphChin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, JunPeng Wang, Liang Wang, Wei Zhang 0189. 4391-4401 [doi]
• Predicting Age-Related Macular Degeneration Progression with Contrastive Attention and Time-Aware LSTMChangchang Yin, Sayoko E. Moroi, Ping Zhang 0016. 4402-4412 [doi]
• Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video DataFudan Yu, Wenxuan Ao, Huan Yan, Guozhen Zhang, Wei Wu, Yong Li. 4413-4421 [doi]
• XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue GenerationJifan Yu, Xiaohan Zhang, Yifan Xu, Xuanyu Lei, Xinyu Guan, Jing Zhang, Lei Hou 0001, Juanzi Li, Jie Tang 0001. 4422-4432 [doi]
• CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni RetrievalLicheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, Ning Zhang. 4433-4442 [doi]
• EGM: Enhanced Graph-based Model for Large-scale Video Advertisement SearchTan Yu, Jie Liu, Yi Yang, Yi Li, Hongliang Fei, Ping Li. 4443-4451 [doi]
• Multi-task Envisioning Transformer-based Autoencoder for Corporate Credit Rating Migration Early PredictionHan Yue, Steve Q. Xia, Hongfu Liu. 4452-4460 [doi]
• AutoShard: Automated Embedding Table Sharding for Recommender SystemsDaochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu. 4461-4471 [doi]
• Deconfounding Duration Bias in Watch-time Prediction for Video RecommendationRuohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai. 4472-4481 [doi]
• Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning SchemeChongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang. 4482-4492 [doi]
• Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored SearchJianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie. 4493-4501 [doi]
• Felicitas: Federated Learning in Distributed Cross Device Collaborative FrameworksQi Zhang, Tiancheng Wu, Peichen Zhou, Shan Zhou, Yuan Yang, Xiulang Jin. 4502-4509 [doi]
• Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender SystemsQihua Zhang, Junning Liu, Yuzhuo Dai, Yiyan Qi, Yifan Yuan, Kunlun Zheng, Fan Huang, Xianfeng Tan. 4510-4520 [doi]
• Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products PredictionRongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang. 4521-4529 [doi]
• Sparx: Distributed Outlier Detection at ScaleSean Zhang, Varun Ursekar, Leman Akoglu. 4530-4540 [doi]
• CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event SequencesShengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong 0001. 4541-4550 [doi]
• Medical Symptom Detection in Intelligent Pre-Consultation Using Bi-directional Hard-Negative Noise Contrastive EstimationShiwei Zhang, Jichao Sun, Yu Huang, Xueqi Ding, Yefeng Zheng 0001. 4551-4559 [doi]
• Graph Attention Multi-Layer PerceptronWentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li 0106, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang 0001, Bin Cui 0001. 4560-4570 [doi]
• JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem UnderstandingWayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen 0003, Shijin Wang, Cong Liu, Ji-Rong Wen. 4571-4581 [doi]
• Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous GraphsDa Zheng, Xiang Song, Chengru Yang, Dominique Lasalle, George Karypis. 4582-4591 [doi]
• DDR: Dialogue Based Doctor Recommendation for Online Medical ServiceZhi Zheng, Zhaopeng Qiu, Hui Xiong 0001, Xian Wu, Tong Xu 0001, Enhong Chen, Xiangyu Zhao. 4592-4600 [doi]
• Dynamic Graph Segmentation for Deep Graph Neural NetworksJohan Kok Zhi Kang, Suwei Yang, Suriya Venkatesan, Sien Yi Tan, Feng Cheng, Bingsheng He. 4601-4611 [doi]
• DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect EstimationKailiang Zhong, Fengtong Xiao, Yan Ren, Yaorong Liang, Wenqing Yao, Xiaofeng Yang, Ling Cen. 4612-4620 [doi]
• Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item HistoryChenxu Zhu, Peng Du, Weinan Zhang 0001, Yong Yu 0001, Yang Cao. 4621-4629 [doi]
• User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag MaskingChenxu Zhu, Peng Du, Xianghui Zhu, Weinan Zhang 0001, Yong Yu 0001, Yang Cao. 4630-4638 [doi]
• Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural NetworksDingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao. 4639-4647 [doi]
• RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement LearningZefang Zong, Hansen Wang, Jingwei Wang, Meng Zheng, Yong Li. 4648-4658 [doi]
• Effective Social Network-Based Allocation of COVID-19 VaccinesJiangzhuo Chen, Stefan Hoops, Achla Marathe, Henning S. Mortveit, Bryan L. Lewis, Srinivasan Venkatramanan, Arash Haddadan, Parantapa Bhattacharya, Abhijin Adiga, Anil Vullikanti, Aravind Srinivasan, Mandy L. Wilson, Gal Ehrlich, Maier Fenster, Stephen G. Eubank, Christopher L. Barrett, Madhav Marathe. 4675-4683 [doi]
• Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact NetworkQianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang, Yong Li. 4684-4694 [doi]
• Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement LearningWeijie He, Ting Chen. 4695-4703 [doi]
• User Engagement in Mobile Health ApplicationsBabaniyi Yusuf Olaniyi, Ana Fernández del Río, África Periáñez, Lauren Bellhouse. 4704-4712 [doi]
• Automatic Phenotyping by a Seed-guided Topic ModelZiyang Song, Yuanyi Hu, Aman Verma, David L. Buckeridge, Yue Li. 4713-4723 [doi]
• MolSearch: Search-based Multi-objective Molecular Generation and Property OptimizationMengying Sun, Jing Xing, Han Meng, Huijun Wang, Bin Chen, Jiayu Zhou. 4724-4732 [doi]
• Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease SurveillanceCarl Yang, Hongwen Song, Mingyue Tang, Leon Danon, Ymir Vigfusson. 4733-4742 [doi]
• Data-Efficient Brain Connectome Analysis via Multi-Task Meta-LearningYi Yang, Yanqiao Zhu 0001, Hejie Cui, Xuan Kan, Lifang He 0001, Ying Guo, Carl Yang. 4743-4751 [doi]
• Activity Trajectory Generation via Modeling Spatiotemporal DynamicsYuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin, Yong Li 0008. 4752-4762 [doi]
• Medical Dialogue Response Generation with Pivotal Information RecallingYu Zhao, Yunxin Li, Yuxiang Wu, Baotian Hu, Qingcai Chen, Xiaolong Wang 0001, Yuxin Ding, Min Zhang 0005. 4763-4771 [doi]
• Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product SearchImad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono. 4772-4773 [doi]
• Shallow and Deep Non-IID Learning on Complex DataLongbing Cao, Philip S. Yu, Zhilin Zhao 0001. 4774-4775 [doi]
• Why Data Scientists Prefer Glassbox Machine Learning: Algorithms, Differential Privacy, Editing and Bias MitigationRich Caruana 0001, Harsha Nori. 4776-4777 [doi]
• Hyperbolic Neural Networks: Theory, Architectures and ApplicationsNurendra Choudhary, Nikhil Rao 0001, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy. 4778-4779 [doi]
• Classifying Multimodal Data Using TransformersWatson W. K. Chua, Lu Li, Alvina Goh. 4780-4781 [doi]
• Toward Graph Minimally-Supervised LearningKaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu 0001. 4782-4783 [doi]
• Graph-based Representation Learning for Web-scale Recommender SystemsAhmed El-Kishky, Michael M. Bronstein, Ying Xiao, Aria Haghighi. 4784-4785 [doi]
• Multimodal AutoML for Image, Text and Tabular DataNick Erickson, Xingjian Shi, James Sharpnack, Alexander J. Smola. 4786-4787 [doi]
• Efficient Machine Learning on Large-Scale GraphsParker Erickson, Victor E. Lee, Feng Shi, Jiliang Tang. 4788-4789 [doi]
• The Battlefront of Combating Misinformation and Coping with Media BiasYi Ren Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji. 4790-4791 [doi]
• Large-Scale Information Extraction under Privacy-Aware ConstraintsRajeev Gupta, Ranganath Kondapally. 4792-4793 [doi]
• Gradual AutoML using LaleMartin Hirzel, Kiran Kate, Parikshit Ram, Avraham Shinnar, Jason Tsay. 4794-4795 [doi]
• Frontiers of Graph Neural Networks with DIGShuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu. 4796-4797 [doi]
• Algorithmic Fairness on Graphs: Methods and TrendsJian Kang, Hanghang Tong. 4798-4799 [doi]
• Model Monitoring in Practice: Lessons Learned and Open ChallengesKrishnaram Kenthapadi, Himabindu Lakkaraju, Pradeep Natarajan, Mehrnoosh Sameki. 4800-4801 [doi]
• A Practical Introduction to Federated LearningYaliang Li, Bolin Ding, Jingren Zhou. 4802-4803 [doi]
• Deep Learning for Network Traffic DataManish Marwah, Martin F. Arlitt. 4804-4805 [doi]
• Adapting Pretrained Representations for Text MiningYu Meng 0001, Jiaxin Huang, Yu Zhang 0044, Jiawei Han 0001. 4806-4807 [doi]
• Online Clustering: Algorithms, Evaluation, Metrics, Applications and BenchmarkingJacob Montiel, Hoang Anh Ngo, Minh-Huong Le Nguyen, Albert Bifet. 4808-4809 [doi]
• Deep Search Relevance Ranking in PracticeLinsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen Guo. 4810-4811 [doi]
• Toolkit for Time Series Anomaly DetectionDhaval Patel, Dzung Phan, Markus Mueller, Amaresh Rajasekharan. 4812-4813 [doi]
• Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI SystemsHima Patel, Shanmukha C. Guttula, Ruhi Sharma Mittal, Naresh Manwani, Laure Berti-Équille, Abhijit Manatkar. 4814-4815 [doi]
• Reducing the Friction for Building Recommender Systems with MerlinSara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer. 4816-4817 [doi]
• Temporal Graph Learning for Financial World: Algorithms, Scalability, Explainability & FairnessNitendra Rajput, Karamjit Singh. 4818-4819 [doi]
• Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection WorkflowBrad Rees, Xiaoyun Wang 0001, Joe Eaton, Onur Yilmaz, Rick Ratzel, Dominque LaSalle. 4820-4821 [doi]
• Epidemic Forecasting with a Data-Centric LensAlexander Rodríguez, Harshavardhan Kamarthi, B. Aditya Prakash. 4822-4823 [doi]
• Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent AdvancesYuta Saito, Thorsten Joachims. 4824-4825 [doi]
• concept2code: Deep Reinforcement Learning for Conversational AIOmprakash Sonie, Abir Chakraborty, Ankan Mullick. 4826-4827 [doi]
• Automated Machine Learning & Tuning with FLAMLChi Wang 0001, Qingyun Wu, Xueqing Liu 0001, Luis Quintanilla. 4828-4829 [doi]
• Towards Adversarial Learning: From Evasion Attacks to Poisoning AttacksWentao Wang 0006, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang. 4830-4831 [doi]
• New Frontiers of Scientific Text Mining: Tasks, Data, and ToolsXuan Wang 0001, Hongwei Wang, Heng Ji, Jiawei Han 0001. 4832-4833 [doi]
• Graph Neural Networks in Life Sciences: Opportunities and SolutionsZichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama. 4834-4835 [doi]
• Robust Time Series Analysis and Applications: An Industrial PerspectiveQingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun. 4836-4837 [doi]
• Trustworthy Graph Learning: Reliability, Explainability, and Privacy ProtectionBingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen 0001, Chaochao Chen 0001, JunZhou Huang. 4838-4839 [doi]
• Graph Neural Networks: Foundation, Frontiers and ApplicationsLingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo 0002. 4840-4841 [doi]
• Modern Theoretical Tools for Designing Information Retrieval SystemDa Xu, Chuanwei Ruan. 4842-4843 [doi]
• Anomaly Detection for Spatiotemporal Data in ActionGuang Yang, Ninad Kulkarni, Paavani Dua, Dipika Khullar, Alex Anto Chirayath. 4844-4845 [doi]
• HoloViz: Visualization and Interactive Dashboards in PythonSophia Yang, Marc Skov Madsen, James A. Bednar. 4846-4847 [doi]
• PECOS: Prediction for Enormous and Correlated Output SpacesHsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh. 4848-4849 [doi]
• epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge DiscoveryBijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodríguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash. 4850-4851 [doi]
• AdKDD 2022Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie. 4852-4853 [doi]
• Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact)Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng 0001. 4854-4855 [doi]
• International Workshop on Data-driven Science of ScienceYi Bu 0001, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia 0001, Daniel E. Acuña, Yi Zhang. 4856-4857 [doi]
• The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022)Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu. 4858-4859 [doi]
• 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-Chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang 0001. 4860-4861 [doi]
• 2nd Workshop on Online and Adaptive Recommender Systems (OARS)Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem. 4862-4863 [doi]
• International Workshop on Knowledge Graphs: Open Knowledge NetworkYing Ding, Amit Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein. 4864-4865 [doi]
• Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental JusticeNaoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu. 4866-4867 [doi]
• 17th International Workshop on Mining and Learning with Graphs (MLG)Shobeir Fakhraei, Tim Weninger, Neil Shah, Sami Abu-El-Haija, Saurabh Verma, Tara Safavi. 4868-4869 [doi]
• 3rd IADSS Workshop on Data Science Standards - Hiring, Assessing and Upskilling Data Science TalentUsama M. Fayyad, Hamit Hamutcu. 4870-4871 [doi]
• Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and SustainabilitySnehalkumar (Neil) S. Gaikwad, Shankar-Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi. 4872-4873 [doi]
• Workshop on Applied Machine Learning ManagementDmitri Goldenberg, Elena Sokolova, Shir Meir Lador, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain. 4874-4875 [doi]
• 1st Workshop on End-End Customer Journey OptimizationNeha Gupta, Zhenyu Zhao, Mert Bay, Anbang Xu, Faisal Farooq. 4876-4877 [doi]
• DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and SystemsZhe Jiang 0001, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye. 4878-4879 [doi]
• The Sixth International Workshop on Automation in Machine LearningPatrick Koch, Brett Wujek, Jun Liu, Jun Huan, Tao Wang. 4880-4881 [doi]
• KDD Workshop on Machine Learning in FinanceSenthil Kumar, Leman Akoglu, Nitesh V. Chawla, Saurabh Nagrecha, Vidyut M. Naware, Tanveer A. Faruquie, Hays McCormick. 4882-4883 [doi]
• The KDD 2022 Workshop on Causal Discovery (CD2022)Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu. 4884-4885 [doi]
• The 11th International Workshop on Urban ComputingChuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson. 4886-4887 [doi]
• First Workshop on Content Understanding and Generation for E-commerceSumit Negi, Manisha Verma, Rajdeep H. Banerjee, Pooja A, Lydia Chilton, Mithun Das Gupta, Vinay P. Namboodiri, Dinesh Garg. 4888-4889 [doi]
• DI-2022: The Third Document Intelligence WorkshopAni Nenkova, Douglas Burdick, Benjamin Han, Dave Lewis 0003, Sandeep Tata, Dan Tecuci. 4890-4891 [doi]
• ANDEA: Anomaly and Novelty Detection, Explanation, and AccommodationGuansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich. 4892-4893 [doi]
• Visualization in Data Science VDS @ KDD 2022Claudia Plant, Nina C. Hubig, Junming Shao, Alvitta Ottley, Liang Gou, Torsten Möller, Adam Perer, Alexander Lex, Anamaria Crisan. 4894-4895 [doi]
• 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and ApplicationsSanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang 0001, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka. 4896-4897 [doi]
• Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and BeyondZhiwei (Tony) Qin, Liangjie Hong, Rui Song 0006, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan. 4898-4899 [doi]
• ACM KDD AI4Cyber/MLHat: Workshop on AI-enabled Cybersecurity Analytics and Deployable DefenseSagar Samtani, Gang Wang, Ali Ahmadzadeh, Arridhana Ciptadi, Shanchieh Yang, Hsinchun Chen. 4900-4901 [doi]
• Machine Learning for Materials Science (MLMS)Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Ankit Agrawal. 4902-4903 [doi]
• Data Science and Artificial Intelligence for Responsible RecommendationsShoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci 0001, Bamshad Mobasher. 4904-4905 [doi]
• Deep Learning on Graphs: Methods and Applications (DLG-KDD2022)Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo 0002. 4906-4907 [doi]
• Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AITao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian 0001, Lixia Yao, Alexej Gossmann, Florian Buettner 0001. 4908-4909 [doi]
• 21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022)Da Yan 0001, Catia Pesquita, Carsten Görg, Jake Y. Chen, Mohammed J. Zaki. 4910-4911 [doi]
• The 5th Artificial Intelligence of Things (AIoT) WorkshopJian Zhang, Jian Tang, Yiran Chen 0001, Jie Liu 0001, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl. 4912-4913 [doi]
• 1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22)Chen Zhao, Feng Chen, Xintao Wu, Christopher Funk, Anthony Hoogs. 4914-4915 [doi]