Table of Contents

• Minimizing Hitting Time between Disparate Groups with Shortcut EdgesFlorian Adriaens, Honglian Wang, Aristides Gionis. 1-10 [doi]
• Maximizing Neutrality in News OrderingRishi Advani, Paolo Papotti, Abolfazl Asudeh. 11-24 [doi]
• Fair Allocation Over Time, with Applications to Content ModerationAmine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Nona Bohanon, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses, Ken Rodríguez Taarup. 25-35 [doi]
• LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention BiasMario Almagro, Emilio J. Almazán, Diego Ortego, David Jiménez. 36-46 [doi]
• Rank-heterogeneous Preference Models for School ChoiceAmel Awadelkarim, Arjun Seshadri, Itai Ashlagi, Irene Lo, Johan Ugander. 47-56 [doi]
• Knowledge Graph Reasoning over Entities and Numerical ValuesJiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song. 57-68 [doi]
• Communication Efficient and Differentially Private Logistic Regression under the Distributed SettingErgute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li. 69-79 [doi]
• Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral ClusteringAnna Beer 0001, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. m. Frey, Ira Assent. 80-92 [doi]
• Sketch-Based Anomaly Detection in Streaming GraphsSiddharth Bhatia 0001, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi. 93-104 [doi]
• Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment ClassifiersAdam Breuer, Nazanin Khosravani Tehrani, Michael Tingley, Bradford Cottel. 105-116 [doi]
• On Improving the Cohesiveness of Graphs by Merging Nodes: Formulation, Analysis, and AlgorithmsFanchen Bu, Kijung Shin. 117-129 [doi]
• MBrain: A Multi-channel Self-Supervised Learning Framework for Brain SignalsDonghong Cai, Junru Chen, Yang Yang 0009, Teng Liu, Yafeng Li. 130-141 [doi]
• When to Pre-Train Graph Neural Networks? From Data Generation Perspective!Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang 0001, Lei Chen, Yang Yang 0009. 142-153 [doi]
• Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected RecommendationZeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao. 154-166 [doi]
• Efficient Coreset Selection with Cluster-based MethodsChengliang Chai, Jiayi Wang 0002, Nan Tang 0001, Ye Yuan 0001, Jiabin Liu, Yuhao Deng, Guoren Wang. 167-178 [doi]
• SURE: Robust, Explainable, and Fair Classification without Sensitive AttributesDeepayan Chakrabarti. 179-189 [doi]
• Data-Efficient and Interpretable Tabular Anomaly DetectionChun-Hao Chang, Jinsung Yoon, Sercan Ö. Arik, Madeleine Udell, Tomas Pfister. 190-201 [doi]
• IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale SystemsJiadong Chen, Yang Luo, Xiuqi Huang, Fuxin Jiang, Yangguang Shi, Tieying Zhang, Xiaofeng Gao 0001. 202-212 [doi]
• On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with IncompletenessJiayi Chen, Aidong Zhang. 213-225 [doi]
• Open-Set Semi-Supervised Text Classification with Latent Outlier SofteningJunfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao. 226-236 [doi]
• Improving Expressivity of GNNs with Subgraph-specific Factor Embedded NormalizationKaixuan Chen 0004, Shunyu Liu 0001, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian 0002, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song. 237-249 [doi]
• Approximation Algorithms for Size-Constrained Non-Monotone Submodular Maximization in Deterministic Linear TimeYixin Chen, Alan Kuhnle. 250-261 [doi]
• Accelerating Personalized PageRank Vector ComputationZhen Chen, Xingzhi Guo, Baojian Zhou, Deqing Yang, Steven Skiena. 262-273 [doi]
• Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence LabelerZhijun Chen, Hailong Sun 0001, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen. 274-285 [doi]
• Shilling Black-box Review-based Recommender Systems through Fake Review GenerationHung-Yun Chiang, Yi-Syuan Chen, Yun-Zhu Song, Hong-Han Shuai, Jason S. Chang. 286-297 [doi]
• Classification of Edge-dependent Labels of Nodes in HypergraphsMinyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin. 298-309 [doi]
• Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with TransformersChanyoung Chung, Jaejun Lee, Joyce Jiyoung Whang. 310-322 [doi]
• Reducing Exposure to Harmful Content via Graph RewiringCorinna Coupette, Stefan Neumann 0003, Aristides Gionis. 323-334 [doi]
• MGNN: Graph Neural Networks Inspired by Distance Geometry ProblemGuanyu Cui, Zhewei Wei. 335-347 [doi]
• Below the Surface: Summarizing Event Sequences with Generalized Sequential PatternsJoscha Cüppers, Jilles Vreeken. 348-357 [doi]
• Deep Encoders with Auxiliary Parameters for Extreme ClassificationKunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao 0007, Sumeet Agarwal, Purushottam Kar, Manik Varma. 358-367 [doi]
• A Unified Framework of Graph Information Bottleneck for Robustness and Membership PrivacyEnyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang. 368-379 [doi]
• Contrastive Learning for User Sequence Representation in Personalized Product SearchShitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, Ji-Rong Wen. 380-389 [doi]
• Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix PropagationPengtao Dang, Haiqi Zhu, Tingbo Guo, Changlin Wan, Tong Zhao, Paul Salama, Yijie Wang, Sha Cao, Chi Zhang. 390-401 [doi]
• TWIN: Personalized Clinical Trial Digital Twin GenerationTrisha Das, Zifeng Wang, Jimeng Sun. 402-413 [doi]
• Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsHaoran Deng, Yang Yang 0009, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang. 414-425 [doi]
• MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text ClassificationHongyuan Dong, Weinan Zhang 0003, Wanxiang Che. 426-436 [doi]
• Investigating Trojan Attacks on Pre-trained Language Model-powered Database MiddlewarePeiran Dong, Song Guo, Junxiao Wang. 437-447 [doi]
• Localised Adaptive Spatial-Temporal Graph Neural NetworkWenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao. 448-458 [doi]
• TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series ForecastingVijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam. 459-469 [doi]
• Dependence and Model Selection in LLP: The Problem of VariantsGabriel Franco, Mark Crovella, Giovanni Comarela. 470-481 [doi]
• Multiplex Heterogeneous Graph Neural Network with Behavior Pattern ModelingChaofan Fu, Guanjie Zheng, Chao Huang 0001, Yanwei Yu, Junyu Dong. 482-494 [doi]
• Delving into Global Dialogue Structures: Structure Planning Augmented Response Selection for Multi-turn ConversationsTingchen Fu, Xueliang Zhao, Rui Yan 0001. 495-505 [doi]
• Pre-training Antibody Language Models for Antigen-Specific Computational Antibody DesignKaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie 0003, Tao Qin, Haiguang Liu, Kun He 0001, Tie-Yan Liu. 506-517 [doi]
• Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled RepresentationsHaoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan. 518-530 [doi]
• GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural PredictionHaoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan. 531-543 [doi]
• Sparse Binary Transformers for Multivariate Time Series ModelingMatt Gorbett, Hossein Shirazi, Indrakshi Ray. 544-556 [doi]
• 3D-Polishing for Triangular Mesh Compression of Point Cloud DataJiaqi Gu, Guosheng Yin. 557-566 [doi]
• ESSA: Explanation Iterative Supervision via Saliency-guided Data AugmentationSiyi Gu, Yifei Zhang, Yuyang Gao, Xiaofeng Yang, Liang Zhao 0002. 567-576 [doi]
• CounterNet: End-to-End Training of Prediction Aware Counterfactual ExplanationsHangzhi Guo, Thanh Hong Nguyen, Amulya Yadav. 577-589 [doi]
• SketchPolymer: Estimate Per-item Tail Quantile Using One SketchJiarui Guo, Yisen Hong, Yuhan Wu 0001, Yunfei Liu, Tong Yang 0003, Bin Cui 0001. 590-601 [doi]
• On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative FilteringJiayan Guo, Lun Du, Xu Chen 0022, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang 0001, Yan Zhang. 602-613 [doi]
• Clenshaw Graph Neural NetworksYuhe Guo, Zhewei Wei. 614-625 [doi]
• CampER: An Effective Framework for Privacy-Aware Deep Entity ResolutionYuxiang Guo, Lu Chen, Zhengjie Zhou, Baihua Zheng, Ziquan Fang, Zhikun Zhang, Yuren Mao, Yunjun Gao. 626-637 [doi]
• A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection AbilityYuxin Guo, Cheng Yang 0002, Yuluo Chen, Jixi Liu, Chuan Shi, Junping Du. 638-648 [doi]
• Frigate: Frugal Spatio-temporal Forecasting on Road NetworksMridul Gupta, Hariprasad Kodamana, Sayan Ranu. 649-660 [doi]
• Detecting Interference in Online Controlled Experiments with Increasing AllocationKevin Han, Shuangning Li, Jialiang Mao, Han Wu. 661-672 [doi]
• Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement LearningXiao Han, Xiangyu Zhao, Liang Zhang, Wanyu Wang. 673-684 [doi]
• GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement LearningQianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li. 685-697 [doi]
• CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive LearningJianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu. 698-710 [doi]
• Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic OptimizationLong He 0001, Ho-Yin Mak. 711-721 [doi]
• Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate ExamplesShuo He, Lei Feng 0006, Guowu Yang. 722-731 [doi]
• Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit SettingChristine Herlihy, Aviva Prins, Aravind Srinivasan, John P. Dickerson. 732-740 [doi]
• Unbiased Locally Private Estimator for Polynomials of Laplacian VariablesQuentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya. 741-751 [doi]
• Graph Neural Processes for Spatio-Temporal ExtrapolationJunfeng Hu 0001, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann. 752-763 [doi]
• ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSMMingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo. 764-774 [doi]
• Leveraging Relational Graph Neural Network for Transductive Model EnsembleZhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu 0001, Shangsong Liang. 775-787 [doi]
• One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud PlatformsShaoyuan Huang, Zheng Wang, Heng Zhang, Xiaofei Wang, Cheng Zhang, Wenyu Wang. 788-797 [doi]
• Generalizing Graph ODE for Learning Complex System Dynamics across EnvironmentsZijie Huang 0002, Yizhou Sun, Wei Wang 0010. 798-809 [doi]
• The Information Pathways Hypothesis: Transformers are Dynamic Self-EnsemblesMd. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian. 810-821 [doi]
• Sequential Learning Algorithms for Contextual Model-Free Influence MaximizationAlexandra Iacob, Bogdan Cautis, Silviu Maniu. 822-831 [doi]
• COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local SearchShibal Ibrahim, Wenyu Chen, Hussein Hazimeh 0001, Natalia Ponomareva, Zhe Zhao 0001, Rahul Mazumder. 832-844 [doi]
• Generative Perturbation Analysis for Probabilistic Black-Box Anomaly AttributionTsuyoshi Idé, Naoki Abe. 845-856 [doi]
• Parameter-free Spikelet: Discovering Different Length and Warped Time Series Motifs using an Adaptive Time Series RepresentationMakoto Imamura, Takaaki Nakamura. 857-866 [doi]
• Similarity Preserving Adversarial Graph Contrastive LearningYeonjun In, Kanghoon Yoon, Chanyoung Park. 867-878 [doi]
• Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and ApplicationJun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang. 879-890 [doi]
• Hierarchical Proxy Modeling for Improved HPO in Time Series ForecastingArindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami. 891-900 [doi]
• Precursor-of-Anomaly Detection for Irregular Time SeriesSheo Yon Jhin, Jaehoon Lee 0002, Noseong Park. 917-929 [doi]
• Community-based Dynamic Graph Learning for Popularity PredictionShuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du 0001, Hui Xiong 0001. 930-940 [doi]
• GetPt: Graph-enhanced General Table Pre-training with Alternate Attention NetworkRan Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang 0001. 941-950 [doi]
• Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural NetworksYaning Jia, Dongmian Zou, Hongfei Wang, Hai Jin 0001. 951-963 [doi]
• Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality ReductionYuheng Jia, Jiahao Jiang, Yongheng Wang. 964-973 [doi]
• Complementary Classifier Induced Partial Label LearningYuheng Jia, Chongjie Si, Min-Ling Zhang. 974-983 [doi]
• Anomaly Detection with Score Distribution DiscriminationMinqi Jiang, Songqiao Han, Hailiang Huang. 984-996 [doi]
• CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical SystemsSong Jiang 0002, Zijie Huang 0002, Xiao Luo, Yizhou Sun. 997-1009 [doi]
• FedSkill: Privacy Preserved Interpretable Skill Learning via ImitationYushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen. 1010-1019 [doi]
• Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich NetworksBowen Jin, Yu Zhang, Qi Zhu, Jiawei Han 0001. 1020-1031 [doi]
• Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across CitiesYilun Jin, Kai Chen, Qiang Yang. 1032-1043 [doi]
• Predicting Information Pathways Across Online CommunitiesYiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye 0002, Karan Sikka, Ajay Divakaran, Srijan Kumar. 1044-1056 [doi]
• When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series ForecastingHarshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang 0014, B. Aditya Prakash. 1057-1072 [doi]
• R-Mixup: Riemannian Mixup for Biological NetworksXuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang. 1073-1085 [doi]
• Exploiting Relation-aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical ReasoningGayeong Kim, Sookyung Kim, Ko Keun Kim, Suchan Park, Heesoo Jung, Hogun Park. 1086-1096 [doi]
• Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division ForestSang-Hong Kim, Ha-Myung Park. 1097-1106 [doi]
• Task Relation-aware Continual User Representation LearningSein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park. 1107-1119 [doi]
• Task-Equivariant Graph Few-shot LearningSungwon Kim, Junseok Lee 0002, Namkyeong Lee, Wonjoong Kim, SeungYoon Choi, Chanyoung Park. 1120-1131 [doi]
• How Transitive Are Real-World Group Interactions? - Measurement and ReproductionSunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin. 1132-1143 [doi]
• LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational RecommendationTaeho Kim, Juwon Yu, Won-Yong Shin, Hyunyoung Lee, Ji-Hui Im, Sang-Wook Kim. 1144-1153 [doi]
• Off-Policy Evaluation of Ranking Policies under Diverse User BehaviorHaruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito. 1154-1163 [doi]
• Deception by Omission: Using Adversarial Missingness to Poison Causal Structure LearningDeniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung. 1164-1175 [doi]
• Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy InferenceMayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran. 1176-1187 [doi]
• MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion AnalysisTian Lan, Ziyue Li, Zhishuai Li, Lei Bai 0001, Man Li 0003, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang. 1188-1199 [doi]
• Shift-Robust Molecular Relational Learning with Causal SubstructureNamkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park. 1200-1212 [doi]
• Boosting Multitask Learning on Graphs through Higher-Order Task AffinitiesDongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang. 1213-1222 [doi]
• Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural NetworksGaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan. 1223-1234 [doi]
• Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for RecommendationHaoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui 0001. 1235-1247 [doi]
• UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in RecommendationJiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley. 1248-1257 [doi]
• Text Is All You Need: Learning Language Representations for Sequential RecommendationJiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley. 1258-1267 [doi]
• What's Behind the Mask: Understanding Masked Graph Modeling for Graph AutoencodersJintang Li, Ruofan Wu, Wangbin Sun, Liang Chen 0001, sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang. 1268-1279 [doi]
• Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer InferenceJunyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, YuQing Yang, Ting Cao, Hao Sun 0015, Weiwei Deng, Qi Zhang, Mao Yang. 1280-1290 [doi]
• Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based ApproachNingyuan Li, Yunxuan Ma, Yang Zhao, Zhijian Duan 0001, Yurong Chen 0002, Zhilin Zhang, Jian Xu, Bo Zheng, Xiaotie Deng. 1291-1302 [doi]
• OPORP: One Permutation + One Random ProjectionPing Li 0001, Xiaoyun Li. 1303-1315 [doi]
• Multi-Temporal Relationship Inference in Urban AreasShuangli LI, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong 0001. 1316-1327 [doi]
• GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node ClassificationWen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai. 1328-1340 [doi]
• HomoGCL: Rethinking Homophily in Graph Contrastive LearningWen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai. 1341-1352 [doi]
• Learning Balanced Tree Indexes for Large-Scale Vector RetrievalWuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen. 1353-1362 [doi]
• Urban Region Representation Learning with OpenStreetMap Building FootprintsYi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang 0046. 1363-1373 [doi]
• Machine Unlearning in Gradient Boosting Decision TreesHuawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao 0001. 1374-1383 [doi]
• MAP: A Model-agnostic Pretraining Framework for Click-through Rate PredictionJianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu 0001, Weinan Zhang 0001. 1384-1395 [doi]
• Fire: An Optimization Approach for Fast Interpretable Rule ExtractionBrian Liu, Rahul Mazumder. 1396-1405 [doi]
• Communication Efficient Distributed Newton Method with Fast Convergence RatesChengchang Liu, Lesi Chen, Luo Luo, John C. S. Lui. 1406-1416 [doi]
• Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial TrainingFan Liu, Weijia Zhang, Hao Liu. 1417-1428 [doi]
• Discovering Dynamic Causal Space for DAG Structure LearningFangfu Liu, Wenchang Ma, An Zhang 0003, Xiang Wang, Yueqi Duan, Tat-Seng Chua. 1429-1440 [doi]
• Meta Multi-agent Exercise Recommendation: A Game Application PerspectiveFei Liu 0038, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu. 1441-1452 [doi]
• Semi-Supervised Graph Imbalanced RegressionGang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang. 1453-1465 [doi]
• Enhancing Graph Representations Learning with Decorrelated PropagationHua Liu 0031, Haoyu Han, Wei Jin 0009, Xiaorui Liu, Hui Liu. 1466-1476 [doi]
• Guiding Mathematical Reasoning via Mastering Commonsense Formula KnowledgeJiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu. 1477-1488 [doi]
• 2-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive LearningMengyue Liu, Yun Lin, Jun Liu, Bohao Liu, Qinghua Zheng, Jin Song Dong. 1489-1500 [doi]
• Using Motif Transitions for Temporal Graph GenerationPenghang Liu, Ahmet Erdem Sariyüce. 1501-1511 [doi]
• Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic NetworksRuifeng Liu, Qu Liu, Tingjian Ge. 1512-1523 [doi]
• Generative Flow Network for Listwise RecommendationShuchang Liu 0006, Qingpeng Cai 0001, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang 0002, Kun Gai. 1524-1534 [doi]
• Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz RestraintWei Liu, Jun Wang, Haozhao Wang, Ruixuan Li 0001, Yang Qiu, Yuankai Zhang 0002, Jie Han, Yixiong Zou. 1535-1547 [doi]
• FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on GraphsYang Liu, Xiang Ao 0001, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He. 1548-1558 [doi]
• Learning Strong Graph Neural Networks with Weak InformationYixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu 0001, Shirui Pan. 1559-1571 [doi]
• QTIAH-GNN: Quantity and Topology Imbalance-aware Heterogeneous Graph Neural Network for Bankruptcy PredictionYucheng Liu, Zipeng Gao, Xiangyang Liu, Pengfei Luo, Yang Yang 0054, Hui Xiong. 1572-1582 [doi]
• Multi-Grained Multimodal Interaction Network for Entity LinkingPengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen. 1583-1594 [doi]
• Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential EquationsYingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu 0001, Tian Tian, Jun Zhu 0001. 1595-1607 [doi]
• Augmenting Recurrent Graph Neural Networks with a CacheGuixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed. 1608-1619 [doi]
• Learning for Counterfactual Fairness from Observational DataJing Ma 0002, Ruocheng Guo, Aidong Zhang, Jundong Li. 1620-1630 [doi]
• Towards Graph-level Anomaly Detection via Deep Evolutionary MappingXiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng. 1631-1642 [doi]
• Context-aware Event Forecasting via Graph DisentanglementYunshan Ma, Chenchen Ye 0001, Zijian Wu, Xiang Wang 0010, Yixin Cao 0002, Tat-Seng Chua. 1643-1652 [doi]
• Querywise Fair Learning to Rank through Multi-Objective OptimizationDebabrata Mahapatra, Chaosheng Dong, Michinari Momma. 1653-1664 [doi]
• Online Fairness Auditing through Iterative RefinementPranav Maneriker, Codi Burley, Srinivasan Parthasarathy 0001. 1665-1676 [doi]
• End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery AdvertisingWuyang Mao, Chuanren Liu, Yundu Huang, Zhonglin Zu, M. Harshvardhan, Liang Wang, Bo Zheng. 1677-1686 [doi]
• Impatient Bandits: Optimizing Recommendations for the Long-Term Without DelayThomas M. McDonald 0001, Lucas Maystre, Mounia Lalmas, Daniel Russo 0001, Kamil Ciosek. 1687-1697 [doi]
• Hyper-USS: Answering Subset Query Over Multi-Attribute Data StreamRuijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang 0003, Bin Cui 0001. 1698-1709 [doi]
• Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with DiversityAtsushi Miyauchi 0001, Tianyi Chen, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis. 1710-1721 [doi]
• Learning to Relate to Previous Turns in Conversational SearchFengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu. 1722-1732 [doi]
• Online Level-wise Hierarchical ClusteringNicholas Monath, Manzil Zaheer, Andrew McCallum. 1733-1745 [doi]
• Causal Inference via Style Transfer for Out-of-distribution GeneralisationToan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen. 1746-1757 [doi]
• DotHash: Estimating Set Similarity Metrics for Link Prediction and Document DeduplicationIgor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alex Nicolau, Tony Givargis. 1758-1769 [doi]
• A Higher-Order Temporal H-Index for Evolving NetworksLutz Oettershagen, Nils M. Kriege, Petra Mutzel. 1770-1782 [doi]
• Cracking White-box DNN Watermarks via Invariant Neuron TransformsXudong Pan, Mi Zhang 0001, Yifan Yan, Yining Wang, Min Yang. 1783-1794 [doi]
• Deep Weakly-supervised Anomaly DetectionGuansong Pang, Chunhua Shen, Huidong Jin 0001, Anton van den Hengel. 1795-1807 [doi]
• Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria RecommendationJin-Duk Park, Siqing Li, Xin Cao 0001, Won-Yong Shin. 1808-1819 [doi]
• Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose EstimationJinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth. 1837-1849 [doi]
• FedDefender: Client-Side Attack-Tolerant Federated LearningSungwon Park 0001, Sungwon Han 0001, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie 0001, Meeyoung Cha. 1850-1861 [doi]
• Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation GenerationShichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang 0001. 1862-1871 [doi]
• Efficient Centrality Maximization with Rademacher AveragesLeonardo Pellegrina. 1872-1884 [doi]
• Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing SystemsPeng Peng 0001, Shengyi Ji, Zhen Tian, Hongbo Jiang, Weiguo Zheng, Xuecang Zhang. 1885-1896 [doi]
• Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly DetectionLorenzo Perini, Vincent Vercruyssen, Jesse Davis. 1897-1906 [doi]
• Deep Pipeline Embeddings for AutoMLSebastian Pineda-Arango, Josif Grabocka. 1907-1919 [doi]
• Graph Neural BanditsYunzhe Qi, Yikun Ban, Jingrui He. 1920-1931 [doi]
• Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning AttacksWei Qian, Chenxu Zhao, Wei Le, Meiyi Ma, Mengdi Huai. 1932-1942 [doi]
• Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation LearningXin Qin, Jindong Wang 0001, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie 0001, Yiqiang Chen. 1943-1953 [doi]
• FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical HeterogeneityZhen Qin, ShuiGuang Deng, Mingyu Zhao, Xueqiang Yan. 1954-1964 [doi]
• 3D-IDS: Doubly Disentangled Dynamic Intrusion DetectionChenyang Qiu, Yingsheng Geng, Junrui Lu, Kaida Chen, Shitong Zhu, Ya Su, Guoshun Nan, Can Zhang, Junsong Fu, Qimei Cui, Xiaofeng Tao. 1965-1977 [doi]
• Reconstructing Graph Diffusion History from a Single SnapshotRuizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong. 1978-1988 [doi]
• Source-Free Domain Adaptation with Temporal Imputation for Time Series DataMohamed Ragab 0002, Emadeldeen Eldele, Min Wu 0008, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen. 1989-1998 [doi]
• FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival AnalysisMd. Mahmudur Rahman, Sanjay Purushotham. 1999-2009 [doi]
• Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output SpaceHuaqing Shao, Lanjun Wang, Junchi Yan. 2010-2022 [doi]
• Temporal Dynamics-Aware Adversarial Attacks on Discrete-Time Dynamic Graph ModelsKartik Sharma, Rakshit Trivedi, Rohit Sridhar, Srijan Kumar. 2023-2035 [doi]
• CARL-G: Clustering-Accelerated Representation Learning on GraphsWilliam Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao 0003, Neil Shah, Evangelos E. Papalexakis. 2036-2048 [doi]
• One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataYao Su 0003, Zhentian Qian, Lei Ma, Lifang He 0001, Xiangnan Kong. 2049-2060 [doi]
• Learning Autoregressive Model in LSM-Tree based StoreYunxiang Su, Wenxuan Ma, Shaoxu Song. 2061-2071 [doi]
• PSLOG: Pretraining with Search Logs for Document RankingZhan Su, Zhicheng Dou, Yujia Zhou 0002, Ziyuan Zhao, Ji-Rong Wen. 2072-2082 [doi]
• Enhance Diffusion to Improve Robust GeneralizationJianhui Sun, Sanchit Sinha, Aidong Zhang. 2083-2095 [doi]
• ShapleyFL: Robust Federated Learning Based on Shapley ValueQiheng Sun, Xiang Li, Jiayao Zhang 0006, Li Xiong 0001, Weiran Liu, Jinfei Liu, Zhan Qin, Kui Ren 0001. 2096-2108 [doi]
• Mastering Stock Markets with Efficient Mixture of Diversified Trading ExpertsShuo Sun, Xinrun Wang, Wanqi Xue, Xiaoxuan Lou, Bo An 0001. 2109-2119 [doi]
• All in One: Multi-Task Prompting for Graph Neural NetworksXiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan. 2120-2131 [doi]
• Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge GraphsZequn Sun, JiaCheng Huang, Jinghao Lin, XiaoZhou Xu, Qijin Chen, Wei Hu. 2132-2144 [doi]
• Causal Effect Estimation on Hierarchical Spatial Graph DataKoh Takeuchi, Ryo Nishida, Hisashi Kashima, Masaki Onishi. 2145-2154 [doi]
• PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural NetworksDa Sun Handason Tam, Yang Liu, Huanle Xu, Siyue Xie, Wing Cheong Lau. 2155-2165 [doi]
• ExplainableFold: Understanding AlphaFold Prediction with Explainable AIJuntao Tan, Yongfeng Zhang. 2166-2176 [doi]
• Virtual Node Tuning for Few-shot Node ClassificationZhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu. 2177-2188 [doi]
• Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain GeneralizationYunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang. 2189-2200 [doi]
• Adversaries with Limited Information in the Friedkin-Johnsen ModelSijing Tu, Stefan Neumann 0003, Aristides Gionis. 2201-2210 [doi]
• Feature-based Learning for Diverse and Privacy-Preserving Counterfactual ExplanationsVy Vo, Trung Le, Van Nguyen 0002, He Zhao 0001, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung. 2211-2222 [doi]
• Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic PredictionBinwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai 0001, Yang Wang. 2223-2232 [doi]
• Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum LearningDaixin Wang, Zhiqiang Zhang 0012, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou 0011. 2233-2242 [doi]
• Accelerating Antimicrobial Peptide Discovery with Latent StructureDanqing Wang, Zeyu Wen, Fei Ye, Lei Li, Hao Zhou. 2243-2255 [doi]
• Networked Time Series Imputation via Position-aware Graph Enhanced Variational AutoencodersDingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong. 2256-2268 [doi]
• Incremental Causal Graph Learning for Online Root Cause AnalysisDongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen. 2269-2278 [doi]
• GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive TestingHangyu Wang, Ting Long, Liang Yin, Weinan Zhang 0001, Wei Xia 0001, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu 0001. 2279-2289 [doi]
• Treatment Effect Estimation with Adjustment Feature SelectionHaotian Wang 0001, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang 0002. 2290-2301 [doi]
• LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language ModelsHaoyu Wang, Ruirui Li 0002, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao 0004. 2302-2313 [doi]
• Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement LearningHaozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng. 2314-2325 [doi]
• Efficient and Effective Edge-wise Graph Representation LearningHewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao. 2326-2336 [doi]
• PROSE: Graph Structure Learning via Progressive StrategyHuizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu. 2337-2348 [doi]
• Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning PerspectiveJihong Wang, Minnan Luo, Jundong Li, Yun Lin 0001, Yushun Dong, Jin Song Dong, Qinghua Zheng. 2349-2360 [doi]
• WHEN: A Wavelet-DTW Hybrid Attention Network for Heterogeneous Time Series AnalysisJingyuan Wang, Chen Yang, Xiaohan Jiang, Junjie Wu 0002. 2361-2373 [doi]
• Federated Few-shot LearningSong Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li. 2374-2385 [doi]
• Contrastive Meta-Learning for Few-shot Node ClassificationSong Wang, Zhen Tan, Huan Liu, Jundong Li. 2386-2397 [doi]
• Improving Conversational Recommendation Systems via Counterfactual Data SimulationXiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen. 2398-2408 [doi]
• An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time SeriesXu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang. 2409-2418 [doi]
• Automated 3D Pre-Training for Molecular Property PredictionXu Wang, Huan Zhao, Wei-Wei Tu, Quanming Yao. 2419-2430 [doi]
• Efficient Sparse Linear Bandits under High Dimensional DataXue Wang, Mike Mingcheng Wei, Tao Yao. 2431-2443 [doi]
• Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed HeterogeneityYangyang Wang, Xiao Zhang 0015, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng 0001, Dongxiao Yu. 2444-2455 [doi]
• Unbiased Delayed Feedback Label Correction for Conversion Rate PredictionYifan Wang, Peijie Sun, Min Zhang 0006, Qinglin Jia, Jingjie Li, Shaoping Ma. 2456-2466 [doi]
• Rapid Image Labeling via Neuro-Symbolic LearningYifeng Wang, Zhi Tu, Yiwen Xiang, Shiyuan Zhou, Xiyuan Chen, Bingxuan Li, Tianyi Zhang. 2467-2477 [doi]
• Learning to Schedule in Diffusion Probabilistic ModelsYunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du 0001, Charles Xu. 2478-2488 [doi]
• A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive FieldsZhili Wang, Shimin Di, Lei Chen. 2489-2501 [doi]
• Efficient Bi-Level Optimization for Recommendation DenoisingZongwei Wang, Min Gao 0001, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin. 2502-2511 [doi]
• Meta Graph Learning for Long-tail RecommendationChunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang. 2512-2522 [doi]
• To Aggregate or Not? Learning with Separate Noisy LabelsJiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu. 2523-2535 [doi]
• Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes ProcessesSong Wei, Yao Xie 0002, Christopher S. Josef, Rishikesan Kamaleswaran. 2536-2546 [doi]
• Efficient and Joint Hyperparameter and Architecture Search for Collaborative FilteringYan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li. 2547-2558 [doi]
• Deep Bayesian Active Learning for Accelerating Stochastic SimulationDongxia Wu, Ruijia Niu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu. 2559-2569 [doi]
• Self-Adaptive Perturbation Radii for Adversarial TrainingHuimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu 0001. 2570-2581 [doi]
• DECOR: Degree-Corrected Social Graph Refinement for Fake News DetectionJiaying Wu, Bryan Hooi. 2582-2593 [doi]
• Personalized Federated Learning with Parameter PropagationJun Wu 0019, Wenxuan Bao, Elizabeth A. Ainsworth, Jingrui He. 2594-2605 [doi]
• Certified Edge Unlearning for Graph Neural NetworksKun Wu, Jie Shen, Yue Ning 0001, Ting Wang, Wendy Hui Wang. 2606-2617 [doi]
• Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph PropagationLikang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen. 2618-2628 [doi]
• Towards Reliable Rare Category Analysis on Graphs via Individual CalibrationLongfeng Wu, Bowen Lei, Dongkuan Xu, Dawei Zhou 0003. 2629-2638 [doi]
• TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated TransformerQiang Wu 0010, Mingyuan Li, Jun Shen 0001, Linyuan Lü, Bo Du 0004, Ke Zhang. 2639-2647 [doi]
• Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data MiningXidong Wu, Zhengmian Hu, Jian Pei, Heng Huang. 2648-2659 [doi]
• MicroscopeSketch: Accurate Sliding Estimation Using Adaptive ZoomingYuhan Wu 0001, Shiqi Jiang, Siyuan Dong, Zheng Zhong, Jiale Chen, Yutong Hu, Tong Yang 0003, Steve Uhlig, Bin Cui 0001. 2660-2671 [doi]
• MedLink: De-Identified Patient Health Record LinkageZhenbang Wu, Cao Xiao, Jimeng Sun 0001. 2672-2682 [doi]
• A Sequence-to-Sequence Approach with Mixed Pointers to Topic Segmentation and Segment LabelingJinxiong Xia, Houfeng Wang. 2683-2693 [doi]
• User-Regulation Deconfounded Conversational Recommender System with Bandit FeedbackYu Xia, Junda Wu, Tong Yu 0001, SungChul Kim, Ryan A. Rossi, Shuai Li. 2694-2704 [doi]
• Graph Contrastive Learning with Generative Adversarial NetworkCheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai. 2721-2730 [doi]
• A Causality Inspired Framework for Model InterpretationChenwang Wu, Xiting Wang, Defu Lian, Xing Xie 0001, Enhong Chen. 2731-2741 [doi]
• Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion ModelsChunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, Fan Zhou 0002. 2742-2751 [doi]
• Spatial Heterophily Aware Graph Neural NetworksCongxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu 0001, Hui Xiong 0001. 2752-2763 [doi]
• Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift PerspectiveTeng Xiao, Zhengyu Chen 0001, Suhang Wang. 2764-2775 [doi]
• A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement LearningMingzhe Xing, Hangyu Mao, Shenglin Yin, Lichen Pan, Zhengchao Zhang, Zhen Xiao, Jieyi Long. 2776-2788 [doi]
• Learning Behavior-oriented Knowledge TracingBihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang 0001. 2789-2800 [doi]
• How does the Memorization of Neural Networks Impact Adversarial Robust Models?Han Xu 0002, Xiaorui Liu, Wentao Wang 0006, Zitao Liu 0001, Anil K. Jain 0001, Jiliang Tang. 2801-2812 [doi]
• Grace: Graph Self-Distillation and Completion to Mitigate Degree-Related BiasesHui Xu 0011, Liyao Xiang, Femke Huang, Yuting Weng, Ruijie Xu, Xinbing Wang, Chenghu Zhou. 2813-2824 [doi]
• Internal Logical Induction for Pixel-Symbolic Reinforcement LearningJiacheng Xu 0003, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, Yang Yu 0013. 2825-2837 [doi]
• MimoSketch: A Framework to Mine Item Frequency on Multiple Nodes with SketchesYuchen Xu, Wenfei Wu, Bohan Zhao, Tong Yang 0003, Yikai Zhao. 2838-2849 [doi]
• Kernel Ridge Regression-Based Graph Dataset DistillationZhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang 0007, Hanghang Tong. 2850-2861 [doi]
• Node Classification Beyond Homophily: Towards a General SolutionZhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong. 2862-2873 [doi]
• PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User EngagementWanqi Xue, Qingpeng Cai 0001, Zhenghai Xue, Shuo Sun, Shuchang Liu 0006, Dong Zheng, Peng Jiang, Kun Gai, Bo An 0001. 2874-2884 [doi]
• E-commerce Search via Content Collaborative Graph Neural NetworkGuipeng Xv, Chen Lin 0001, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng. 2885-2897 [doi]
• CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated LearningGang Yan, Hao Wang, Xu Yuan, Jian Li. 2898-2907 [doi]
• Empowering General-purpose User Representation with Full-life Cycle Behavior ModelingBei Yang, Jie Gu, Ke Liu, Xiaoxiao Xu, Renjun Xu, Qinghui Sun, Hong Liu. 2908-2917 [doi]
• Fragility Index: A New Approach for Binary ClassificationChen Yang, Ziqiang Zhang, Bo Cao, Zheng Cui, Bin Hu, Tong Li, Daniel Zhuoyu Long, Jin Qi, Feng Wang, Ruohan Zhan. 2918-2929 [doi]
• IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in NanophotonicsJia-Qi Yang 0001, Yucheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang 0074. 2930-2940 [doi]
• MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-LearningJuncheng Yang, Chao Li, Zuchao Li, Wei Yu, Bo Du, Shijun Li. 2941-2952 [doi]
• EXTRACT and REFINE: Finding a Support Subgraph Set for Graph RepresentationKuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang. 2953-2964 [doi]
• κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature LearningMenglin Yang 0001, Min Zhou 0006, Lujia Pan, Irwin King. 2965-2977 [doi]
• Specify Robust Causal Representation from Mixed ObservationsMengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang 0001, Jun Wang 0012. 2978-2987 [doi]
• Counterfactual Learning on Heterogeneous Graphs with Greedy PerturbationQiang Yang 0015, Changsheng Ma, Qiannan Zhang, Xin Gao 0001, Chuxu Zhang, Xiangliang Zhang 0001. 2988-2998 [doi]
• LightPath: Lightweight and Scalable Path Representation LearningSean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen. 2999-3010 [doi]
• Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing DataYaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney. 3011-3021 [doi]
• MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style TransferYazheng Yang, Zhou Zhao, Qi Liu. 3022-3032 [doi]
• DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly DetectionYiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun 0001. 3033-3045 [doi]
• Knowledge Graph Self-Supervised Rationalization for RecommendationYuhao Yang, Chao Huang 0001, Lianghao Xia, Chunzhen Huang. 3046-3056 [doi]
• BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and GraphsZhen Yang, Tinglin Huang, Ming Ding 0004, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang. 3057-3069 [doi]
• Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure InformationTianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang. 3070-3081 [doi]
• Web-based Long-term Spine Treatment Outcome ForecastingHangting Ye, Zhining Liu 0002, Wei Cao, Amir M. Amiri, Jiang Bian 0002, Yi Chang 0001, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu. 3082-3092 [doi]
• PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on TextMuchao Ye, Jinghui Chen, Chenglin Miao, Han Liu 0008, Ting Wang, Fenglong Ma. 3093-3104 [doi]
• VQNE: Variational Quantum Network Embedding with Application to Network AlignmentXinyu Ye, Ge Yan, Junchi Yan. 3105-3115 [doi]
• Optimal Dynamic Subset Sampling: Theory and ApplicationsLu Yi, Hanzhi Wang, Zhewei Wei. 3116-3127 [doi]
• Less is More: SlimG for Accurate, Robust, and Interpretable Graph MiningJaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos. 3128-3139 [doi]
• FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification FrameworkRaneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella. 3140-3150 [doi]
• Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate PredictionRunlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen. 3151-3161 [doi]
• Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling ApproachJianyong Yuan 0032, Jiayi Zhang, Zinuo Cai, Junchi Yan. 3162-3172 [doi]
• Spatio-temporal Diffusion Point ProcessesYuan Yuan 0032, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li 0008. 3173-3184 [doi]
• Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization TermYun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang. 3185-3194 [doi]
• Doubly Robust AUC Optimization against Noisy and Adversarial SamplesChenkang Zhang, Wanli Shi, Lei Luo, Bin Gu. 3195-3205 [doi]
• Hyperbolic Graph Topic Modeling Network with Continuously Updated Topic TreeDelvin Ce Zhang, Rex Ying, Hady W. Lauw. 3206-3216 [doi]
• Quantifying Node Importance over Network Structural StabilityFan Zhang 0036, Qingyuan Linghu, Jiadong Xie, Kai Wang, Xuemin Lin 0001, Wenjie Zhang 0001. 3217-3228 [doi]
• Finding Favourite Tuples on Data Streams with Provably Few ComparisonsGuangyi Zhang 0001, Nikolaj Tatti, Aristides Gionis. 3229-3238 [doi]
• HiMacMic: Hierarchical Multi-Agent Deep Reinforcement Learning with Dynamic Asynchronous Macro StrategyHancheng Zhang, Guozheng Li 0002, Chi Harold Liu, Guoren Wang, Jian Tang 0008. 3239-3248 [doi]
• FedCP: Separating Feature Information for Personalized Federated Learning via Conditional PolicyJianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan. 3249-3261 [doi]
• A Study of Situational Reasoning for Traffic UnderstandingJiarui Zhang, Filip Ilievski, Kaixin Ma, Aravinda Kollaa, Jonathan Francis, Alessandro Oltramari. 3262-3272 [doi]
• Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time SeriesJiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian 0002, Jia Li. 3273-3285 [doi]
• MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data AugmentationJiaxing Zhang, Dongsheng Luo, Hua Wei. 3286-3296 [doi]
• Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning FrameworkJiayun Zhang, Xiyuan Zhang 0001, Xinyang Zhang 0002, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang. 3297-3308 [doi]
• DyTed: Disentangled Representation Learning for Discrete-time Dynamic GraphKaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng. 3309-3320 [doi]
• Rumor Detection with Diverse Counterfactual EvidenceKaiwei Zhang, Junchi Yu, Haichao Shi, Jian Liang, Xiao-Yu Zhang. 3321-3331 [doi]
• CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case RetrievalKun Zhang, Chong Chen, Yuanzhuo Wang, Qi Tian, Long Bai 0002. 3332-3341 [doi]
• Efficient Single-Source SimRank Query by Path AggregationMingxi Zhang, Yanghua Xiao, Wei Wang 0009. 3342-3352 [doi]
• Debiasing Recommendation by Learning Identifiable Latent ConfoundersQing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo. 3353-3363 [doi]
• Local Boosting for Weakly-Supervised LearningRongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang. 3364-3375 [doi]
• Capacity Constrained Influence Maximization in Social NetworksShiqi Zhang 0004, Yiqian Huang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang 0016. 3376-3385 [doi]
• Efficient Approximation Algorithms for Spanning CentralityShiQi Zhang, Renchi Yang, Jing Tang 0004, Xiaokui Xiao, Bo Tang 0016. 3386-3395 [doi]
• DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust PersonalizationWenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong. 3396-3408 [doi]
• Domain-Specific Risk Minimization for Domain GeneralizationYi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie. 3409-3421 [doi]
• Contrastive Cross-scale Graph Knowledge SynergyYifei Zhang, Yankai Chen 0001, Zixing Song, Irwin King. 3422-3433 [doi]
• Adaptive Disentangled Transformer for Sequential RecommendationYipeng Zhang, Xin Wang, Hong Chen, Wenwu Zhu 0001. 3434-3445 [doi]
• AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph ReasoningYongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu 0001, Bo Han 0003. 3446-3457 [doi]
• Weakly Supervised Multi-Label Classification of Full-Text Scientific PapersYu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng 0001, Jiawei Han 0001. 3458-3469 [doi]
• Hierarchical Invariant Learning for Domain Generalization RecommendationZeyu Zhang, Heyang Gao, Hao Yang, Xu Chen. 3470-3479 [doi]
• Towards Fair Disentangled Online Learning for Changing EnvironmentsChen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen. 3480-3491 [doi]
• DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend ForecastingLifan Zhao, Shuming Kong, Yanyan Shen. 3492-3503 [doi]
• Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite MixturesPeng Zhao, Hou-Cheng Yang, Dipak K. Dey, Guanyu Hu. 3504-3512 [doi]
• Skill Disentanglement for Imitation Learning from Suboptimal DemonstrationsTianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen. 3513-3524 [doi]
• GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural NetworksWentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan. 3525-3536 [doi]
• Generative Causal Interpretation Model for Spatio-Temporal Representation LearningYu Zhao 0021, Pan Deng, Junting Liu, Xiaofeng Jia, Jianwei Zhang. 3537-3548 [doi]
• Improving Search Clarification with Structured Information Extracted from Search ResultsZiliang Zhao, Zhicheng Dou, Yu Guo, Zhao Cao, Xiaohua Cheng. 3549-3558 [doi]
• Dense Representation Learning and Retrieval for Tabular Data PredictionLei Zheng, Ning Li, Xianyu Chen, Quan Gan, Weinan Zhang. 3559-3569 [doi]
• Automatic Temporal Relation in Multi-Task LearningMenghui Zhou, Po Yang 0001. 3570-3580 [doi]
• Narrow the Input Mismatch in Deep Graph Neural Network DistillationQiQi Zhou, Yanyan Shen, Lei Chen. 3581-3592 [doi]
• A Sublinear Time Algorithm for Opinion Optimization in Directed Social Networks via Edge RecommendationXiaotian Zhou, Liwang Zhu, Wei Li 0015, Zhongzhi Zhang. 3593-3602 [doi]
• Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal LearningZhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang. 3603-3614 [doi]
• Dual-view Molecular Pre-trainingJinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie 0003, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu. 3615-3627 [doi]
• On Structural Expressive Power of Graph TransformersWenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang 0006, Bo Zheng. 3628-3637 [doi]
• Path-Specific Counterfactual Fairness for Recommender SystemsYaochen Zhu, Jing Ma 0002, Liang Wu 0006, Qi Guo, Liangjie Hong, Jundong Li. 3638-3649 [doi]
• WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation WindowYifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang. 3650-3662 [doi]
• Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correctionZhangchi Zhu, Lu Wang, Pu Zhao 0004, Chao Du, Wei Zhang, Hang Dong 0004, Bo Qiao 0001, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang 0001. 3663-3673 [doi]
• DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative ModelingYuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang. 3674-3686 [doi]
• CADENCE: Offline Category Constrained and Diverse Query Generation for E-commerce AutosuggestAbhinav Anand, Surender Kumar, Nandeesh Kumar, Samir Shah. 3703-3712 [doi]
• Learning to Solve Grouped 2D Bin Packing Problems in the Manufacturing IndustryWenxuan Ao, Guozhen Zhang, Yong Li, Depeng Jin. 3713-3723 [doi]
• Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific ContentsYash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty 0002. 3724-3736 [doi]
• SMILE: Evaluation and Domain Adaptation for Social Media Language UnderstandingVasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky. 3737-3749 [doi]
• Augmenting Rule-based DNS Censorship Detection at Scale with Machine LearningJacob Alexander Markson Brown, Xi Jiang, Van Tran, Arjun Nitin Bhagoji, Nguyen Phong Hoang, Nick Feamster, Prateek Mittal, Vinod Yegneswaran. 3750-3761 [doi]
• RankFormer: Listwise Learning-to-Rank Using Listwide LabelsMaarten Buyl, Paul Missault, Pierre-Antoine Sondag. 3762-3773 [doi]
• Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse ApproachZhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng. 3774-3784 [doi]
• TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at KuaishouJianxin Chang, Chenbin Zhang, Zhiyi Fu, Xiaoxue Zang, Lin Guan, Jing Lu, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai. 3785-3794 [doi]
• PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior InformationJianxin Chang, Chenbin Zhang, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai. 3795-3804 [doi]
• Taming the Domain Shift in Multi-source Learning for Energy DisaggregationXiaomin Chang, Wei Li 0058, Yunchuan Shi, Albert Y. Zomaya. 3805-3816 [doi]
• Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and ToolkitBo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang. 3817-3828 [doi]
• FS-REAL: Towards Real-World Cross-Device Federated LearningDaoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou. 3829-3841 [doi]
• A Data-driven Region Generation Framework for Spatiotemporal Transportation Service ManagementLiyue Chen, Jiangyi Fang, Zhe Yu 0001, Yongxin Tong, Shaosheng Cao, Leye Wang. 3842-3854 [doi]
• Controllable Multi-Objective Re-ranking with Policy HypernetworksSirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu 0001. 3855-3864 [doi]
• Graph-Based Model-Agnostic Data Subsampling for Recommendation SystemsXiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang. 3865-3876 [doi]
• Binary Classifier Evaluation on Unlabeled Segments using Inverse Distance Weighting with Distance LearningXu Chen, Katerina Marazopoulou, Wesley Lee, Christine Agarwal, Jason Sukumaran, Aude Hofleitner. 3877-3888 [doi]
• Evolve Path Tracer: Early Detection of Malicious Addresses in CryptocurrencyLing Cheng, Feida Zhu 0001, Yong Wang, Ruicheng Liang, Huiwen Liu. 3889-3900 [doi]
• CT4Rec: Simple yet Effective Consistency Training for Sequential RecommendationLiu Chong, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang 0005, Leyu Lin. 3901-3913 [doi]
• Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19Ting Dang, Jing Han 0010, Tong Xia, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo. 3914-3925 [doi]
• Modelling Delayed Redemption with Importance Sampling and Pre-Redemption EngagementSamik Datta, Anshuman Mourya, Anirban Majumder, Vineet Chaoji. 3926-3936 [doi]
• Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed OutcomesAlex Deng, Michelle Du, Anna Matlin, Qing Zhang. 3937-3946 [doi]
• From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final ExamsIddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah J. Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell. 3947-3955 [doi]
• Time-to-Event Modeling with Hypernetwork based Hawkes ProcessManisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar. 3956-3965 [doi]
• Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural NetworksMohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne. 3966-3978 [doi]
• Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial ForensicsYoussef Elmougy, Ling Liu. 3979-3990 [doi]
• RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent RecruitmentChuyu Fang, Chuan Qin 0002, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong. 3991-4002 [doi]
• Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in FinanceYuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao 0007, Jiang Bian 0002, Dongsheng Li, Weinan Zhang 0001, Yong Yu 0001, Tie-Yan Liu. 4003-4012 [doi]
• A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic ClassificationKevin Fauvel, Fuxing Chen, Dario Rossi 0001. 4013-4023 [doi]
• ILRoute: A Graph-based Imitation Learning Method to Unveil Riders' Routing Strategies in Food Delivery ServiceTao Feng, Huan Yan, Huandong Wang, Wenzhen Huang, Yuyang Han, Hongsen Liao, Jinghua Hao, Yong Li. 4024-4034 [doi]
• FedMultimodal: A Benchmark for Multimodal Federated LearningTianTian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang 0002, Salman Avestimehr, Shrikanth Narayanan. 4035-4045 [doi]
• Influence Maximization with Fairness at ScaleYuting Feng, Ankitkumar Patel, Bogdan Cautis, Hossein Vahabi. 4046-4055 [doi]
• Binary Embedding-based Retrieval at TencentYukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan. 4056-4067 [doi]
• Yggdrasil Decision Forests: A Fast and Extensible Decision Forests LibraryMathieu Guillame-Bert, Sebastian Bruch, Richard Stotz, Jan Pfeifer. 4068-4077 [doi]
• Towards Equitable Assignment: Data-Driven Delivery Zone Partition at Last-mile LogisticsBaoshen Guo, Shuai Wang, Haotian Wang, Yunhuai Liu, Fanshuo Kong, Desheng Zhang, Tian He 0001. 4078-4088 [doi]
• An Interpretable, Flexible, and Interactive Probabilistic Framework for Melody GenerationStephen Hahn, Rico Zhu, Simon Mak, Cynthia Rudin, Yue Jiang. 4089-4099 [doi]
• iETA: A Robust and Scalable Incremental Learning Framework for Time-of-Arrival EstimationJindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong. 4100-4111 [doi]
• Efficient Continuous Space Policy Optimization for High-frequency TradingLi Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang. 4112-4122 [doi]
• Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement LearningWeiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang. 4123-4134 [doi]
• Identifying Complicated Contagion Scenarios from Cascade DataGalen Harrison, Amro Alabsi Aljundi, Jiangzhuo Chen, S. S. Ravi, Anil Kumar S. Vullikanti, Madhav V. Marathe, Abhijin Adiga. 4135-4145 [doi]
• BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online RecruitmentXiao Hu, Yuan Cheng, Zhi Zheng, Yue Wang, Xinxin Chi, Hengshu Zhu. 4146-4155 [doi]
• Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question AnsweringXinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu. 4156-4165 [doi]
• Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic SystemsYeping Hu, Bo Lei, Victor M. Castillo. 4166-4174 [doi]
• SAMD: An Industrial Framework for Heterogeneous Multi-Scenario RecommendationZhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou 0011. 4175-4184 [doi]
• Learning Discrete Document Representations in Web SearchRong Huang, Danfeng Zhang, Weixue Lu, Han Li, Meng Wang, Daiting Shi, Jun Fan, Zhicong Cheng, Simiu Gu, Dawei Yin. 4185-4194 [doi]
• Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic PatternsShuodi Hui, Huandong Wang, Tong Li, Xinghao Yang, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui 0001, Depeng Jin, Yong Li. 4195-4206 [doi]
• SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and Its EvaluationMd. Ekramul Islam, Labib Chowdhury, Faisal Ahamed Khan, Shazzad Hossain, Md. Sourave Hossain, Mohammad Mamun Or Rashid, Nabeel Mohammed, Mohammad Ruhul Amin. 4207-4218 [doi]
• Off-Policy Learning-to-Bid with AuctionGymOlivier Jeunen, Sean Murphy, Ben Allison. 4219-4228 [doi]
• FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery ServicesLin Jiang, Shuai Wang, Baoshen Guo, Hai Wang, Desheng Zhang, Guang Wang. 4229-4238 [doi]
• AdSEE: Investigating the Impact of Image Style Editing on Advertisement AttractivenessLiyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu. 4239-4251 [doi]
• Adaptive Graph Contrastive Learning for RecommendationYangqin Jiang, Chao Huang 0001, Lianghao Huang. 4252-4261 [doi]
• PGLBox: Multi-GPU Graph Learning Framework for Web-Scale RecommendationXuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu. 4262-4272 [doi]
• Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living SettingFerdian Jovan, Catherine Morgan, Ryan McConville, Emma L. Tonkin, Ian Craddock, Alan L. Whone. 4273-4283 [doi]
• IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning ResearchArpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma 0002, Xiang Song, Wen-mei Hwu. 4284-4295 [doi]
• Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTMHyunsung Kim 0004, Han-Jun Choi, Chang Jo Kim, Jinsung Yoon, Sang-Ki Ko. 4296-4307 [doi]
• Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online LearningJohan Kok Zhi Kang, Sien Yi Tan, Bingsheng He, Zhen Zhang. 4308-4319 [doi]
• Neural Insights for Digital Marketing Content DesignFanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti. 4320-4332 [doi]
• Revisiting Hate Speech Benchmarks: From Data Curation to System DeploymentAtharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty 0002. 4333-4345 [doi]
• A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption EstimationSiqi Lai, Weijia Zhang, Hao Liu. 4346-4356 [doi]
• Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask LearningDaeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han. 4357-4369 [doi]
• AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in RecommendationsDanwei Li, Zhengyu Zhang, Siyang Yuan, Mingze Gao, Weilin Zhang, Chaofei Yang, Xi Liu, Jiyan Yang. 4370-4379 [doi]
• Learning Slow and Fast System Dynamics via Automatic Separation of Time ScalesRuikun Li, Huandong Wang, Yong Li. 4380-4390 [doi]
• DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite ImageryXuechun Li, Paula M. Bürgi, Wei Ma, Hae Young Noh, David Jay Wald, Susu Xu. 4391-4403 [doi]
• Diga: Guided Diffusion Model for Graph Recovery in Anti-Money LaunderingXujia Li, Yuan Li, Xueying Mo, Hebing Xiao, Yanyan Shen, Lei Chen. 4404-4413 [doi]
• HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware BaselineYang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan. 4414-4425 [doi]
• Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain PredictionYouru Li, Zhenfeng Zhu, Xiaobo Guo, Linxun Chen, Zhouyin Wang, Yinmeng Wang, Bing Han, Yao Zhao 0001. 4426-4436 [doi]
• 2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank DataYuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin. 4437-4448 [doi]
• CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic SimulationChumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, Fuliang Li, Zhenhui Jessie Li. 4449-4460 [doi]
• MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News DetectionHao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie. 4461-4472 [doi]
• Analysis of COVID-19 Offensive Tweets and Their TargetsSong Liao, Ebuka Okpala, Long Cheng 0005, Mingqi Li, Nishant Vishwamitra, Hongxin Hu, Feng Luo 0001, Matthew Costello. 4473-4484 [doi]
• Balancing Approach for Causal Inference at ScaleSicheng Lin, Meng Xu, Xi Zhang, Shih-Kang Chao, Ying-Kai Huang, Xiaolin Shi. 4485-4496 [doi]
• Tree based Progressive Regression Model for Watch-Time Prediction in Short-video RecommendationXiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang. 4497-4506 [doi]
• Explicit Feature Interaction-aware Uplift Network for Online MarketingDugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He 0001. 4507-4515 [doi]
• Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDiHao Liu, Wenzhao Jiang, Shui Liu, Xi Chen. 4516-4526 [doi]
• Stationary Algorithmic Balancing For Dynamic Email Re-Ranking ProblemJiayi Liu, Jennifer Neville. 4527-4538 [doi]
• PrivateRec: Differentially Private Model Training and Online Serving for Federated News RecommendationRuixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen. 4539-4548 [doi]
• WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human PreferencesXiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang. 4549-4560 [doi]
• Practical Synthetic Human Trajectories Generation Based on Variational Point ProcessesQingyue Long, Huandong Wang, Tong Li, Lisi Huang, Kun Wang, Qiong Wu, Guangyu Li, Yanping Liang, Li Yu, Yong Li. 4561-4571 [doi]
• Impact-Oriented Contextual Scholar Profiling using Self-Citation GraphsYuankai Luo, Lei Shi 0002, Mufan Xu, Yuwen Ji, Fengli Xiao, Chunming Hu, Zhiguang Shan. 4572-4583 [doi]
• A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA InfectionJing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li. 4584-4594 [doi]
• SAInf: Stay Area Inference of Vehicles using Surveillance Camera RecordsZhipeng Ma, Chuishi Meng, Huimin Ren, Sijie Ruan, Jie Bao 0003, Xiaoting Wang, Tianrui Li 0001, Yu Zheng. 4595-4604 [doi]
• Multi-Label Learning to Rank through Multi-Objective OptimizationDebabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma. 4605-4616 [doi]
• Detecting Vulnerable Nodes in Urban Infrastructure Interdependent NetworkJinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li. 4617-4627 [doi]
• DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route PredictionXiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, LiXia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin. 4628-4637 [doi]
• HUGE: Huge Unsupervised Graph Embeddings with TPUsBrandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi. 4638-4648 [doi]
• Hierarchical Projection Enhanced Multi-behavior RecommendationChang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang. 4649-4660 [doi]
• Scenario-Adaptive Feature Interaction for Click-Through Rate PredictionErxue Min, Da Luo, Kangyi Lin, Chunzhen Huang, Yang Liu. 4661-4672 [doi]
• Deep Offline Reinforcement Learning for Real-world Treatment Optimization ApplicationsMila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy. 4673-4684 [doi]
• Deep Landscape Forecasting in Multi-Slot Real-Time BiddingWeitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu. 4685-4695 [doi]
• Rewiring Police Officer Training Networks to Reduce Forecasted Use of ForceRitika Pandey, Jeremy G. Carter, James Hill, George O. Mohler. 4696-4704 [doi]
• Extreme Multi-Label Classification for Ad Targeting using Factorization MachinesMartin Pavlovski, Srinath Ravindran, Djordje Gligorijevic, Shubham Agrawal, Ivan Stojkovic, Nelson Segura-Nunez, Jelena Gligorijevic. 4705-4716 [doi]
• Entity-aware Multi-task Learning for Query Understanding at WalmartZhiyuan Peng, Vachik Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang 0008, Sravanthi Rajanala. 4733-4742 [doi]
• Revisiting Personalized Federated Learning: Robustness Against Backdoor AttacksZeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng. 4743-4755 [doi]
• NFT-Based Data Marketplace with Digital WatermarkingSaeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Yong Zhang 0004. 4756-4767 [doi]
• un-xPass: Measuring Soccer Player's CreativityPieter Robberechts, Maaike Van Roy, Jesse Davis. 4768-4777 [doi]
• End-to-End Query Term WeightingKaran Samel, Cheng Li, Weize Kong, Tao Chen, Mingyang Zhang 0001, Shaleen Kumar Gupta, Swaraj Khadanga, Wensong Xu, Xingyu Wang, Kashyap Kolipaka, Michael Bendersky, Marc Najork. 4778-4786 [doi]
• UnifieR: A Unified Retriever for Large-Scale RetrievalTao Shen 0001, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang. 4787-4799 [doi]
• Rover: An Online Spark SQL Tuning Service via Generalized Transfer LearningYu Shen, Xinyuyang Ren, Yupeng Lu, Huaijun Jiang, Huanyong Xu, Di Peng, Yang Li 0106, Wentao Zhang, Bin Cui 0001. 4800-4812 [doi]
• Joint Optimization of Ranking and Calibration with Contextualized Hybrid ModelXiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng. 4813-4822 [doi]
• PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerceXiaowen Shi, Fan Yang, Ze Wang, Xiaoxu Wu, Muzhi Guan, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang. 4823-4831 [doi]
• QTNet: Theory-based Queue Length Prediction for Urban TrafficRyu Shirakami, Toshiya Kitahara, Koh Takeuchi, Hisashi Kashima. 4832-4841 [doi]
• Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge GraphShiyuan Zhang, Tong Li, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, Yong Li. 4842-4851 [doi]
• Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent IntersectionsQian Sun, Le Zhang, Huan Yu, Weijia Zhang 0003, Yu Mei, Hui Xiong 0001. 4852-4861 [doi]
• TrustGeo: Uncertainty-Aware Dynamic Graph Learning for Trustworthy IP GeolocationWenxin Tai, Bin Chen, Fan Zhou 0002, Ting Zhong, Goce Trajcevski, Yong Wang, Kai Chen. 4862-4871 [doi]
• Optimizing Airbnb Search Journey with Multi-task LearningChun How Tan, Austin Chan, Malay Haldar, Jie Tang 0001, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya. 4872-4881 [doi]
• Improving Training Stability for Multitask Ranking Models in Recommender SystemsJiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi. 4882-4893 [doi]
• Counterfactual Video Recommendation for Duration DebiasingShisong Tang, Qing Li 0006, Dingmin Wang, Ci Gao, Wentao Xiao, Dan Zhao, Yong Jiang 0001, Qian Ma, Aoyang Zhang. 4894-4903 [doi]
• Semantic-Enhanced Differentiable Search Index Inspired by Learning StrategiesYubao Tang, Ruqing Zhang 0001, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng. 4904-4913 [doi]
• Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine LearningHasan Tercan, Tobias Meisen. 4914-4923 [doi]
• PASS: Personalized Advertiser-aware Sponsored SearchZhoujin Tian, Chaozhuo Li, Zhiqiang Zuo 0004, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang. 4924-4936 [doi]
• Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement LearningAditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, Qi Zeng, Quintin Fettes, Wesley Cheung, Yihan Xiao, Manojkumar Rangasamy Kannadasan, Pushkar Tripathi, Sean Gahagan, Miranda Bogen, Rob Roudani. 4937-4947 [doi]
• Automatic Music Playlist Generation via Simulation-based Reinforcement LearningFederico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai. 4948-4957 [doi]
• Workplace Recommendation with Temporal Network ObjectivesKiran Tomlinson, Jennifer Neville, Longqi Yang, Mengting Wan, Cao Lu. 4958-4969 [doi]
• Stabilising Job Survival Analysis for Disability Employment Services in Unseen EnvironmentsHa Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Xiaomei Li, Jixue Liu, Tony Waters. 4970-4980 [doi]
• Fair Multilingual Vandalism Detection System for WikipediaMykola Trokhymovych, Muniza Aslam, Ai-Jou Chou, Ricardo Baeza-Yates, Diego Sáez-Trumper. 4981-4990 [doi]
• Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data PipelinesDezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang 0001, Surajit Chaudhuri. 4991-5003 [doi]
• The Missing Indicator Method: From Low to High DimensionsMike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell. 5004-5015 [doi]
• Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous MonitoringRunzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song 0006. 5016-5027 [doi]
• A Multi-stage Framework for Online Bonus Allocation Based on Constrained User Intent DetectionChao Wang, Xiaowei Shi, Shuai Xu, Zhe Wang, Zhiqiang Fan, Yan Feng, An You, Yu Chen. 5028-5038 [doi]
• BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR PredictionDong Wang, Kavé Salamatian, Yunqing Xia, Weiwei Deng, Qi Zhang. 5039-5050 [doi]
• Interdependent Causal Networks for Root Cause LocalizationDongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen. 5051-5060 [doi]
• Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language UnderstandingHaoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao. 5061-5070 [doi]
• ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly DetectionHuazhang Wang, Zhaojing Luo, James W. L. Yip, Chuyang Ye, Meihui Zhang 0001. 5071-5081 [doi]
• Fresh Content Needs More Attention: Multi-funnel Fresh Content RecommendationJianling Wang, Haokai Lu, Sai Zhang, Bart N. Locanthi, Haoting Wang, Dylan Greaves, Benjamin Lipshitz, Sriraj Badam, Ed H. Chi, Cristos J. Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen. 5082-5091 [doi]
• Learning to Discover Various Simpson's ParadoxesJingwei Wang, Jianshan He, Weidi Xu, Ruopeng Li, Wei Chu. 5092-5103 [doi]
• Removing Camouflage and Revealing Collusion: Leveraging Gang-crime Pattern in Fraudster DetectionLewen Wang, Haozhe Zhao, Cunguang Feng, Weiqing Liu, Congrui Huang, Marco Santoni, Manuel Cristofaro, Paola Jafrancesco, Jiang Bian. 5104-5115 [doi]
• Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human FeedbackLu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang 0001. 5116-5125 [doi]
• ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical AnalysisWei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik, Wen-Chih Peng. 5126-5136 [doi]
• Contrastive Learning of Stress-specific Word Embedding for Social Media based Stress DetectionXin Wang, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Ningyun Li, Ling Feng. 5137-5149 [doi]
• Doctor Specific Tag Recommendation for Online Medical Record ManagementYejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng. 5150-5161 [doi]
• Exploiting Intent Evolution in E-commercial Query RecommendationYu Wang 0158, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Cheng, Bing Yin, Suhang Wang, Philip S. Yu. 5162-5173 [doi]
• An Empirical Study of Selection Bias in Pinterest Ads RetrievalYuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao. 5174-5183 [doi]
• VRDU: A Benchmark for Visually-rich Document UnderstandingZilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata. 5184-5193 [doi]
• Sequence As Genes: An User Behavior Modeling Framework for Fraud Transaction Detection in E-commerceZiming Wang, Qianru Wu, Baolin Zheng, Junjie Wang, Kaiyu Huang, Yanjie Shi. 5194-5203 [doi]
• RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded AdsPenghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng. 5204-5214 [doi]
• DNet: Distributional Network for Distributional Individualized Treatment EffectsGuojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu. 5215-5224 [doi]
• On-device Integrated Re-ranking with Heterogeneous Behavior ModelingYunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu. 5225-5236 [doi]
• A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile LogisticsKaiwen Xia, Li Lin, Shuai Wang, Haotian Wang, Desheng Zhang, Tian He 0001. 5237-5248 [doi]
• TransAct: Transformer-based Realtime User Action Model for Recommendation at PinterestXue Xia, Pong Eksombatchai, Nikil Pancha, Dhruvil Deven Badani, Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, Andrew Zhai. 5249-5259 [doi]
• Knowledge Based Prohibited Item Detection on Heterogeneous Risk GraphsTingyan Xiang, Ao Li, Yugang Ji, Dong Li. 5260-5269 [doi]
• Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph ApplicationsHan Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing-ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi. 5270-5281 [doi]
• QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain SearchJian Xie, Yidan Liang, JingPing Liu, Yanghua Xiao, Baohua Wu, Shenghua Ni. 5282-5291 [doi]
• NEON: Living Needs Prediction System in MeituanXiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li. 5292-5302 [doi]
• A Data-Driven Decision Support Framework for Player Churn Analysis in Online GamesYu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui 0001. 5303-5314 [doi]
• PlanRanker: Towards Personalized Ranking of Train Transfer PlansJia Xu 0005, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu. 5315-5326 [doi]
• Multi-factor Sequential Re-ranking with Perception-Aware DiversificationYue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu. 5327-5337 [doi]
• Multi-channel Integrated Recommendation with Exposure ConstraintsYue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge. 5338-5349 [doi]
• AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedInZhentao Xu, Ruoying Wang, Girish Balaji, Manas Bundele, Xiao-Fei Liu, Leo Liu, Tie Wang. 5350-5359 [doi]
• Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent RepresentationBing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip R. O. Payne, Chenyang Lu 0001. 5360-5371 [doi]
• Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud AssetsFangkai Yang, Jue Zhang, Lu Wang, Bo Qiao 0001, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin, Dongmei Zhang 0001. 5372-5381 [doi]
• M3PT: A Multi-Modal Model for POI TaggingJingsong Yang, Guanzhou Han, Deqing Yang, JingPing Liu, Yanghua Xiao, Xiang Xu, Baohua Wu, Shenghua Ni. 5382-5392 [doi]
• Interactive Generalized Additive Model and Its Applications in Electric Load ForecastingLinxiao Yang, Rui Ren, Xinyue Gu, Liang Sun 0001. 5393-5403 [doi]
• From Labels to Decisions: A Mapping-Aware Annotator ModelEvan Yao, Jagdish Ramakrishnan, Xu Chen, Viet-An Nguyen, Udi Weinsberg. 5404-5415 [doi]
• Self-supervised Classification of Clinical Multivariate Time Series using Time Series DynamicsYakir Yehuda, Daniel Freedman, Kira Radinsky. 5416-5427 [doi]
• UA-FedRec: Untargeted Attack on Federated News RecommendationJingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie 0001. 5428-5438 [doi]
• DGI: An Easy and Efficient Framework for GNN Model EvaluationPeiqi Yin, Xiao Yan 0002, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang. 5439-5450 [doi]
• Learning Multivariate Hawkes Process via Graph Recurrent Neural NetworkKanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong, Jinkyoo Park. 5451-5462 [doi]
• Group-based Fraud Detection Network on e-Commerce PlatformsJianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li 0007, Lu Qin 0001, Wenjie Zhang, Jian Liao, Ying Zhang. 5463-5475 [doi]
• Generating Synergistic Formulaic Alpha Collections via Reinforcement LearningShuo Yu, Hongyan Xue, Xiang Ao 0001, Feiyang Pan, Jia He, Dandan Tu, Qing He. 5476-5486 [doi]
• LibAUC: A Deep Learning Library for X-Risk OptimizationZhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang. 5487-5499 [doi]
• Multi Datasource LTV User Representation (MDLUR)Junwoo Yun, Wonryeol Kwak, Joohyun Kim. 5500-5508 [doi]
• Commonsense Knowledge Graph towards Super APP and Its Applications in AlipayXiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang 0012, Guannan Zhang, Jun Zhou, Wenliang Zhong. 5509-5519 [doi]
• Revisiting Neural Retrieval on AcceleratorsJiaqi Zhai, Zhaojie Gong, Yueming Wang, Xiao Sun, Zheng Yan, Fu Li, Xing Liu. 5520-5531 [doi]
• Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing ApplicationsHanbo Zhang, Jiangxin Li, Shen Liang, Peng Wang, Themis Palpanas, Chen Wang, Wei Wang, Haoxuan Zhou, Jianwei Song, Wen Lu. 5532-5543 [doi]
• A Personalized Automated Bidding Framework for Fairness-aware Online AdvertisingHaoqi Zhang, Lvyin Niu, Zhenzhe Zheng, Zhilin Zhang, Shan Gu, Fan Wu 0006, Chuan Yu, Jian Xu, Guihai Chen, Bo Zheng. 5544-5553 [doi]
• Understanding the Semantics of GPS-based Trajectories for Road Closure DetectionJiasheng Zhang, Kaiqiang An, Guoping Liu, Xiang Wen, Runbo Hu, Jie Shao 0001. 5554-5563 [doi]
• GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue GenerationJing Zhang, Xiaokang Zhang, Daniel Zhang-li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Juanzi Li, Jie Tang. 5564-5575 [doi]
• A Collaborative Transfer Learning Framework for Cross-domain RecommendationWei Zhang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang. 5576-5585 [doi]
• Constrained Social Community RecommendationXingyi Zhang 0003, Shuliang Xu, Wenqing Lin, Sibo Wang 0001. 5586-5596 [doi]
• TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at TwitterXinyang Zhang 0002, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han 0001, Ahmed El-Kishky. 5597-5607 [doi]
• Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)Yin Zhang 0011, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi. 5608-5617 [doi]
• Towards Disentangling Relevance and Bias in Unbiased Learning to RankYunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork. 5618-5627 [doi]
• Modeling Dual Period-Varying Preferences for Takeaway RecommendationYuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu. 5628-5638 [doi]
• Robust Multimodal Failure Detection for Microservice SystemsChenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan 0005, Xiao-Xiong, Lulu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang 0001. 5639-5649 [doi]
• M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top RecommendationPengyu Zhao, Xin Gao, Chunxu Xu, Liang Chen. 5650-5659 [doi]
• JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem SolvingXin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang 0001, Cong Liu, Guoping Hu. 5660-5672 [doi]
• CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-XQinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang 0003, Yang Li, Teng Su, Zhilin Yang, Jie Tang. 5673-5684 [doi]
• MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint VerificationWen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen. 5685-5694 [doi]
• Road Planning for Slums via Deep Reinforcement LearningYu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li. 5695-5706 [doi]
• Online Few-Shot Time Series Classification for Aftershock DetectionSheng Zhong, Vinicius M. A. Souza, Glenn Eli Baker, Abdullah Mueen 0001. 5707-5716 [doi]
• PDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at AlipayJun Zhou 0011, Yang Bao 0008, Daohong Jian, Hua Wu. 5717-5727 [doi]
• ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation LoopJieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang 0001. 5728-5738 [doi]
• A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile ModelingXianghui Zhu, Peng Du, Shuo Shao, Chenxu Zhu, Weinan Zhang, Yang Wang, Yang Cao. 5739-5749 [doi]
• C-AOI: Contour-based Instance Segmentation for High-Quality Areas-of-Interest in Online Food Delivery PlatformYida Zhu, Liying Chen, Daping Xiong, Shuiping Chen, Fangxiao Du, Jinghua Hao, Renqing He, Zhizhao Sun. 5750-5759 [doi]
• AI Explainability 360 Toolkit for Time-Series and Industrial Use CasesGiridhar Ganapavarapu, Sumanta Mukherjee, Natalia Martinez Gil, Kanthi K. Sarpatwar, Amaresh Rajasekharan, Amit Dhurandhar, Vijay Arya, Roman Vaculín. 5777-5778 [doi]
• Addressing Bias and Fairness in Machine Learning: A Practical Guide and Hands-on TutorialRayid Ghani, Kit T. Rodolfa, Pedro Saleiro, Sérgio M. Jesus. 5779-5780 [doi]
• Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global InferenceAman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu 0001, J. Kenneth Tay, Rupesh Gupta. 5781-5782 [doi]
• Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls"Mia C. Mayer, Muhammad Bilal Zafar, Luca Franceschi 0001, Huzefa Rangwala. 5783-5785 [doi]
• Graph Neural Networks in TensorFlowBryan Perozzi, Sami Abu-El-Haija, Anton Tsitsulin. 5786-5787 [doi]
• PyHealth: A Deep Learning Toolkit for Healthcare ApplicationsChaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin P. Danek, Jimeng Sun 0001. 5788-5789 [doi]
• GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to HeroesJian Zhang, Da Zheng, Xiang Song, Theodore Vasiloudis, Israt Nisa, Jim Lu. 5790-5791 [doi]
• Towards Next-Generation Intelligent Assistants Leveraging LLM TechniquesXin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, Zhou Yu 0001. 5792-5793 [doi]
• Fairness in Graph Machine Learning: Recent Advances and Future ProspectivesYushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li. 5794-5795 [doi]
• Trustworthy Recommender Systems: Foundations and FrontiersWenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang. 5796-5797 [doi]
• XAI for Predictive MaintenanceJoão Gama 0001, Slawomir Nowaczyk, Sepideh Pashami, Rita P. Ribeiro, Grzegorz J. Nalepa, Bruno Veloso. 5798-5799 [doi]
• Distributed Optimization for Big Data Analytics: Beyond MinimizationHongchang Gao, Xinwen Zhang. 5800-5801 [doi]
• Privacy in Advertising: Analytics and ModelingBadih Ghazi, Ravi Kumar 0001, Pasin Manurangsi. 5802 [doi]
• Causal Discovery from Temporal DataChang-Gong, Di Yao 0001, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang. 5803-5804 [doi]
• Generative AI meets Responsible AI: Practical Challenges and OpportunitiesKrishnaram Kenthapadi, Himabindu Lakkaraju, Nazneen Rajani. 5805-5806 [doi]
• Getting an h-Index of 100 in 20 Years or Less!Eamonn Keogh. 5807-5808 [doi]
• Uncertainty Quantification in Deep LearningLingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang. 5809-5810 [doi]
• Mining of Real-world Hypergraphs: Patterns, Tools, and GeneratorsGeon Lee, Jaemin Yoo, Kijung Shin. 5811-5812 [doi]
• Knowledge Graph Reasoning and Its ApplicationsLihui Liu, Hanghang Tong. 5813-5814 [doi]
• Fast Text Generation with Text-Editing ModelsEric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn. 5815-5816 [doi]
• Pretrained Language Representations for Text Understanding: A Weakly-Supervised PerspectiveYu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han 0001. 5817-5818 [doi]
• Socially Responsible Machine Learning: A Causal PerspectiveRaha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu. 5819-5820 [doi]
• Training Large-scale Foundation Models on Emerging AI ChipsAashiq Muhamed, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan. 5821-5822 [doi]
• How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential PrivacyNatalia Ponomareva, Sergei Vassilvitskii, Zheng Xu 0002, Brendan McMahan, Alexey Kurakin, Chiyaun Zhang. 5823-5824 [doi]
• Precision Health in the Age of Large Language ModelsHoifung Poon, Tristan Naumann, Sheng Zhang 0012, Javier González Hernández. 5825-5826 [doi]
• Trustworthy Machine Learning: Robustness, Generalization, and InterpretabilityJindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie. 5827-5828 [doi]
• Trustworthy Transfer Learning: Transferability and TrustworthinessJun Wu, Jingrui He. 5829-5830 [doi]
• Graph Neural Networks: Foundation, Frontiers and ApplicationsLingfei Wu, Peng Cui, Jian Pei, Liang Zhao 0002, Xiaojie Guo 0002. 5831-5832 [doi]
• Graph and Geometry Generative Modeling for Drug DiscoveryMinkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon. 5833-5834 [doi]
• Large-Scale Graph Neural Networks: The Past and New FrontiersRui Xue, Haoyu Han, Tong Zhao 0003, Neil Shah, Jiliang Tang, Xiaorui Liu. 5835-5836 [doi]
• Mining Electronic Health Records for Real-World EvidenceChengxi Zang, Weishen Pan, Fei Wang. 5837-5838 [doi]
• Data-centric AI: Techniques and Future PerspectivesDaochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu. 5839-5840 [doi]
• Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to InterpretabilityZhiqiang Zhong, Davide Mottin. 5841-5842 [doi]
• Hyperbolic Graph Neural Networks: A Tutorial on Methods and ApplicationsMin Zhou 0006, Menglin Yang 0001, Bo Xiong, Hui Xiong, Irwin King. 5843-5844 [doi]
• Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and BeyondNaoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu. 5845-5846 [doi]
• epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge DiscoveryBijaya Adhikari, Alexander Rodríguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash. 5847-5848 [doi]
• AdKDD 2023Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan. 5849-5850 [doi]
• EvalRS 2023: Well-Rounded Recommender Systems for Real-World DeploymentsFederico Bianchi 0001, Patrick John Chia, Jacopo Tagliabue, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Claudio Pomo. 5851-5852 [doi]
• Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based LearningDerek Cheng, Dhaval Patel 0002, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu 0007, Nitesh V. Chawla, James Bailey 0001. 5853-5854 [doi]
• 3rd 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 0001, Stephen D. Guo, Chip Huyen. 5855-5856 [doi]
• KiL 2023 : 3rd International Workshop on Knowledge-infused LearningManas Gaur, Efthymia Tsamoura, Sarath Sreedharan, Sudip Mittal. 5857-5858 [doi]
• The Second Workshop on Applied Machine Learning ManagementDmitri Goldenberg, Chana Ross, Shir Meir Lador, Lin Lee Cheong, Panpan Xu, Elena Sokolova, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain, Amit Weil Modlinger, Saloni Potdar. 5859-5860 [doi]
• International Workshop on Federated Learning for Distributed Data MiningJunyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou 0001, Vishnu Naresh Boddeti, Jiayu Zhou. 5861-5862 [doi]
• KDD Workshop on Machine Learning in FinanceLeman Akoglu, Nitesh V. Chawla, Senthil Kumar, Saurabh Nagrecha, Mahashweta Das, Vidyut M. Naware, Tanveer A. Faruquie. 5863-5864 [doi]
• The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023)Thuc Duy Le. 5865-5866 [doi]
• Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and BeyondJeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, Yingfei Wang, Xinwei Ma. 5867 [doi]
• International Workshop on Multimodal Learning - 2023 Theme: Multimodal Learning with Foundation ModelsYuan Ling, Fanyou Wu, Shujing Dong, Yarong Feng, George Karypis, Chandan K. Reddy. 5868-5869 [doi]
• The 3rd Workshop on Graph Learning Benchmarks (GLB 2023)Jiaqi Ma 0001, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik. 5870-5871 [doi]
• The 6th Workshop on e-eommerce and NLP (ECNLP 6)Shervin Malmasi, Besnik Fetahu, Eugene Agichtein, Oleg Rokhlenko, Ido Guy, Nicola Ueffing, Surya Kallumadi. 5872-5873 [doi]
• The 12th International Workshop on Urban ComputingChuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson. 5874-5875 [doi]
• The 9th SIGKDD International Workshop on Mining and Learning from Time SeriesSanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen 0001, Yuriy Nevmyvaka. 5876-5877 [doi]
• KDD-2023 Workshop on Decision Intelligence and Analytics for Online MarketplacesZhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan. 5878-5879 [doi]
• The 3rd Workshop on Artificial Intelligence-enabled Cybersecurity AnalyticsSagar Samtani, Shanchieh Yang, Hsinchun Chen. 5880-5881 [doi]
• 19th International Workshop on Mining and Learning with Graphs (MLG)Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu. 5882-5883 [doi]
• Robust NLP for Finance (RobustFin)Sameena Shah, Xiaodan Zhu, Gerard de Melo, Armineh Nourbakhsh, Xiaomo Liu, Zhiqiang Ma, Charese Smiley, ZhiYu Chen. 5884-5885 [doi]
• KDD 2023 Workshop on Data Science and AI for SportsHuan Song, Panpan Xu, Lin Lee Cheong, Yuanheng Wang. 5886-5887 [doi]
• From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market ConditionsAnkur M. Teredesai, Michael Zeller, Shenghua Bao, Wee Hyong Tok, Linsey Pang. 5888-5889 [doi]
• 2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and BeyondChu Wang, Yingfei Wang, Haipeng Luo, Daniel Jiang, Jinghai He, Zeyu Zheng. 5890 [doi]
• Deep Learning on Graphs: Methods and Applications (DLG-KDD2023)Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo 0002. 5891-5892 [doi]
• Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for HealthcareTao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian 0001, Lixia Yao, Alexej Gossmann, Florian Buettner 0001. 5893-5894 [doi]
• KDD 2023 International Workshop on Data Science for Social Good (DSSG-23)Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang. 5895-5896 [doi]
• 22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023)Da Yan 0001, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki. 5897-5898 [doi]
• The Second Workshop on Knowledge-Augmented Methods for Natural Language ProcessingWenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang. 5899-5900 [doi]
• RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge DiscoveryChuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang. 5901-5902 [doi]
• 2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou. 5903-5904 [doi]
• 2nd Workshop on End-End Customer Journey OptimizationHongying Zhao, Zhenyu Zhao, Anbang Xu, Neha Gupta, Mert Bay. 5905-5906 [doi]
• 2nd Workshop on Uncertainty Reasoning and Quantification in Decision MakingXujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen. 5907-5908 [doi]
• The 4th International Workshop on Talent and Management Computing (TMC'2023)Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim. 5909-5910 [doi]