Table of Contents

• From Word-prediction to Complex Skills: Compositional Thinking and Metacognition in LLMsSanjeev Arora. 1 [doi]
• AI for Nature: From Science to ImpactTanya Y. Berger-Wolf. 2 [doi]
• Empower an End-to-end Scalable and Interpretable Data Science Ecosystem using Statistics, AI and Domain ScienceXihong Lin. 3-4 [doi]
• GEO: Generative Engine OptimizationPranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande. 5-16 [doi]
• Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and SummarizationAndrea Agiollo, Young In Kim, Rajiv Khanna. 17-28 [doi]
• Resilient k-ClusteringSara Ahmadian, MohammadHossein Bateni, Hossein Esfandiari, Silvio Lattanzi, Morteza Monemizadeh, Ashkan Norouzi-Fard. 29-38 [doi]
• k Partial OrdersAmel Awadelkarim, Johan Ugander. 39-48 [doi]
• A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on GraphsAmitoz Azad, Yuan Fang. 49-58 [doi]
• Semi-Supervised Learning for Time Series Collected at a Low Sampling RateMinyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee 0001. 59-70 [doi]
• Understanding Inter-Session Intentions via Complex Logical ReasoningJiaxin Bai, Chen Luo 0003, Zheng Li 0018, Qingyu Yin, Yangqiu Song. 71-82 [doi]
• Towards Robust Information Extraction via Binomial Distribution Guided Counterpart SequenceYinhao Bai, Yuhua Zhao, Zhixin Han, Hang Gao 0003, Chao Xue, Mengting Hu. 83-94 [doi]
• Meta Clustering of Neural BanditsYikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He. 95-106 [doi]
• Improved Active Covering via Density-Based Space TransformationMohammadHossein Bateni, Hossein Esfandiari, Samira HosseinGhorban, Alipasha Montaseri. 107-118 [doi]
• Graph Mamba: Towards Learning on Graphs with State Space ModelsAli Behrouz, Farnoosh Hashemi. 119-130 [doi]
• Evading Community Detection via Counterfactual Neighborhood SearchAndrea Bernini, Fabrizio Silvestri, Gabriele Tolomei. 131-140 [doi]
• FaultInsight: Interpreting Hyperscale Data Center Host FaultsTingzhu Bi, Yang Zhang, Yicheng Pan 0002, Yu Zhang, Meng Ma, Xinrui Jiang, Linlin Han, Feng Wang, Xian Liu, Ping Wang 0003. 141-152 [doi]
• Learning the Covariance of Treatment Effects Across Many Weak ExperimentsAurélien Bibaut, Winston Chou, Simon Ejdemyr, Nathan Kallus. 153-162 [doi]
• Making Temporal Betweenness Computation Faster and RestlessFilippo Brunelli, Pierluigi Crescenzi, Laurent Viennot. 163-174 [doi]
• Where Have You Been? A Study of Privacy Risk for Point-of-Interest RecommendationKunlin Cai, Jinghuai Zhang, Zhiqing Hong, William Shand, Guang Wang 0001, Desheng Zhang, Jianfeng Chi, Yuan Tian 0001. 175-186 [doi]
• Popularity-Aware Alignment and Contrast for Mitigating Popularity BiasMiaoMiao Cai, Lei Chen 0051, Yifan Wang 0017, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang 0006, Meng Wang 0001. 187-198 [doi]
• FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question AnsweringTianchi Cai, Zhiwen Tan, Xierui Song, Tao Sun, Jiyan Jiang, Yunqi Xu, Yinger Zhang, Jinjie Gu. 199-210 [doi]
• Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric RegularizationShuzhi Cao, Jianfei Ruan, Bo Dong 0001, Bin Shi. 211-221 [doi]
• DiffusionE: Reasoning on Knowledge Graphs via Diffusion-based Graph Neural NetworksZongsheng Cao, Jing Li, Zigan Wang, Jinliang Li. 222-230 [doi]
• Path-based Explanation for Knowledge Graph CompletionHeng Chang, Jiangnan Ye 0003, Alejo Lopez-Avila, Jinhua Du, Jia Li 0009. 231-242 [doi]
• A Hierarchical Context Augmentation Method to Improve Retrieval-Augmented LLMs on Scientific PapersTian-Yi Che, Xian-Ling Mao, Tian Lan, Heyan Huang. 243-254 [doi]
• Harm Mitigation in Recommender Systems under User Preference DynamicsJerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis. 255-265 [doi]
• Cluster-Wide Task Slowdown Detection in Cloud SystemFeiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, ShuiGuang Deng. 266-277 [doi]
• Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed NetworksJingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao 0001, Chenhao Ma 0001. 278-287 [doi]
• Sure Bet for Tabular Prediction?Jintai Chen, Jiahuan Yan, Qiyuan Chen, Danny Z. Chen, Jian Wu 0001, Jimeng Sun 0001. 288-296 [doi]
• QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data ClusteringJunyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang 0006, Yiu-ming Cheung. 297-306 [doi]
• Large Language Model-driven Meta-structure Discovery in Heterogeneous Information NetworkLin Chen 0002, Fengli Xu, Nian Li, ZhenYu Han, Meng Wang 0001, Yong Li 0008, Pan Hui 0001. 307-318 [doi]
• Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial TopologyMeng Chen 0003, Zechen Li 0003, Weiming Huang, Yongshun Gong, Yilong Yin. 319-328 [doi]
• Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential RecommendationMing Chen, Weike Pan, Zhong Ming 0001. 329-340 [doi]
• Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution ShiftMouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu. 341-352 [doi]
• GraphWiz: An Instruction-Following Language Model for Graph Computational ProblemsNuo Chen 0001, Yuhan Li 0001, Jianheng Tang, Jia Li 0009. 353-364 [doi]
• Hate Speech Detection with Generalizable Target-aware FairnessTong Chen 0005, Danny Wang, Xurong Liang, Marten Risius, Gianluca Demartini, Hongzhi Yin. 365-375 [doi]
• Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic RecommendationXiaocong Chen, Siyu Wang, Lina Yao 0001. 376-384 [doi]
• Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and RecommendationYankai Chen 0001, Quoc-Tuan Truong, Xin Shen, Jin Li 0003, Irwin King. 385-396 [doi]
• Conformal Counterfactual Inference under Hidden ConfoundingZonghao Chen, Ruocheng Guo, Jean-Francois Ton, Yang Liu 0018. 397-408 [doi]
• DyGKT: Dynamic Graph Learning for Knowledge TracingKe Cheng 0003, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du 0001. 409-420 [doi]
• Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link PredictionKe Cheng 0003, Linzhi Peng, Junchen Ye, Leilei Sun, Bowen Du 0001. 421-432 [doi]
• Resurrecting Label Propagation for Graphs with Heterophily and Label NoiseYao Cheng, Caihua Shan, Yifei Shen, Xiang Li 0067, Siqiang Luo, Dongsheng Li 0002. 433-444 [doi]
• Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity PredictionZhangtao Cheng, Jienan Zhang, Xovee Xu, Goce Trajcevski, Ting Zhong, Fan Zhou 0002. 445-455 [doi]
• Enhancing Contrastive Learning on Graphs with Node SimilarityHongliang Chi, Yao Ma 0001. 456-465 [doi]
• Iterative Weak Learnability and Multiclass AdaBoostIn-Koo Cho, Jonathan A. Libgober, Cheng Ding. 466-477 [doi]
• Efficient Exploration of the Rashomon Set of Rule-Set ModelsMartino Ciaperoni, Han Xiao 0009, Aristides Gionis. 478-489 [doi]
• Relevance Meets Diversity: A User-Centric Framework for Knowledge Exploration Through RecommendationsErica Coppolillo, Giuseppe Manco 0001, Aristides Gionis. 490-501 [doi]
• Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge TracingJiajun Cui, Hong Qian, Bo Jiang, Wei Zhang 0056. 502-513 [doi]
• Fairness in Streaming Submodular Maximization Subject to a Knapsack ConstraintShuang Cui, Kai Han 0003, Shaojie Tang 0001, Feng Li 0002, Jun Luo 0001. 514-525 [doi]
• Neural Retrievers are Biased Towards LLM-Generated ContentSunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang 0034, Gang Wang, Jun Xu 0001. 526-537 [doi]
• AGS-GNN: Attribute-guided Sampling for Graph Neural NetworksSiddhartha Shankar Das, S. M. Ferdous, Mahantesh M. Halappanavar, Edoardo Serra, Alex Pothen. 538-549 [doi]
• Explanatory Model Monitoring to Understand the Effects of Feature Shifts on PerformanceThomas Decker 0004, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner 0001. 550-561 [doi]
• Unraveling Block Maxima Forecasting Models with Counterfactual ExplanationYue Deng, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo. 562-573 [doi]
• Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label NoiseKaize Ding, Xiaoxiao Ma 0002, Yixin Liu 0001, Shirui Pan. 574-584 [doi]
• Fast Unsupervised Deep Outlier Model Selection with HypernetworksXueying Ding, Yue Zhao 0016, Leman Akoglu. 585-596 [doi]
• Enhancing On-Device LLM Inference with Historical Cloud-Based LLM InteractionsYucheng Ding, Chaoyue Niu, Fan Wu 0006, Shaojie Tang 0001, Chengfei Lyu, Guihai Chen. 597-608 [doi]
• Unsupervised Alignment of Hypergraphs with Different ScalesManh Tuan Do, Kijung Shin. 609-620 [doi]
• IDEA: A Flexible Framework of Certified Unlearning for Graph Neural NetworksYushun Dong, Binchi Zhang, Zhenyu Lei 0004, Na Zou, Jundong Li. 621-630 [doi]
• Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series ForecastingZheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song 0001. 631-641 [doi]
• Estimated Judge Reliabilities for Weighted Bradley-Terry-Luce Are Not ReliableAndrew F. Dreher, Etienne Vouga, Donald S. Fussell. 642-653 [doi]
• Representation Learning of Temporal Graphs with Structural RolesHuaming Du, Long Shi, Xingyan Chen, Yu Zhao 0019, Hegui Zhang, Carl Yang, Fuzhen Zhuang, Gang Kou. 654-665 [doi]
• DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for RecommendationKounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen 0023, Ruiming Tang, Weinan Zhang 0001. 666-676 [doi]
• Disentangled Multi-interest Representation Learning for Sequential RecommendationYingpeng Du, Ziyan Wang, Zhu Sun 0001, Yining Ma 0001, Hongzhi Liu 0001, Jie Zhang 0002. 677-688 [doi]
• Reserving-Masking-Reconstruction Model for Self-Supervised Heterogeneous Graph RepresentationHaoran Duan, Cheng Xie, Linyu Li. 689-700 [doi]
• Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural NetworksWenying Duan, Tianxiang Fang, Hong Rao, Xiaoxi He. 701-712 [doi]
• Auctions with LLM SummariesAvinava Dubey, Zhe Feng 0004, Rahul Kidambi, Aranyak Mehta, Di Wang 0005. 713-722 [doi]
• CAT: Interpretable Concept-based Taylor Additive ModelsViet Duong, Qiong Wu 0008, Zhengyi Zhou, Hongjue Zhao, Chenxiang Luo, Eric Zavesky, Huaxiu Yao, Huajie Shao. 723-734 [doi]
• Label Shift Correction via Bidirectional Marginal Distribution MatchingRuidong Fan, Xiao Ouyang, Hong Tao, Chenping Hou. 735-746 [doi]
• GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language ModelsYi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan. 747-758 [doi]
• ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI RecommendationShanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew-Soon Ong. 759-770 [doi]
• Influence Maximization via Graph Neural BanditsYuting Feng, Vincent Y. F. Tan, Bogdan Cautis. 771-781 [doi]
• SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal PatternsYuye Feng, Wei Zhang 0031, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren. 782-793 [doi]
• Communication-efficient Multi-service Mobile Traffic Prediction by Leveraging Cross-service CorrelationsZhiying Feng, Qiong Wu 0009, Xu Chen 0004. 794-805 [doi]
• AutoXPCR: Automated Multi-Objective Model Selection for Time Series ForecastingRaphael Fischer 0001, Amal Saadallah. 806-815 [doi]
• DIET: Customized Slimming for Incompatible Networks in Sequential RecommendationKairui Fu, Shengyu Zhang 0001, Zheqi Lv, Jingyuan Chen, Jiwei Li 0001. 816-826 [doi]
• Federated Graph Learning with Structure Proxy AlignmentXingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen 0022, Jundong Li. 827-838 [doi]
• Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement LearningHeyang Gao, Zexu Sun, Hao Yang, Xu Chen. 839-850 [doi]
• Graph Condensation for Open-World Graph LearningXinyi Gao, Tong Chen 0005, Wentao Zhang, Yayong Li, Xiangguo Sun, Hongzhi Yin. 851-862 [doi]
• Online Preference Weight Estimation Algorithm with Vanishing Regret for Car-Hailing in Road NetworkYucen Gao, Zhehao Zhu, Mingqian Ma, Fei Gao, Hui Gao, Yangguang Shi, Xiaofeng Gao 0001. 863-871 [doi]
• PATE: Proximity-Aware Time Series Anomaly EvaluationRamin Ghorbani, Marcel J. T. Reinders, David M. J. Tax. 872-883 [doi]
• Hierarchical Neural Constructive Solver for Real-world TSP ScenariosYong Liang Goh, Zhiguang Cao, Yining Ma 0001, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee. 884-895 [doi]
• A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent PredictionJiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li 0008. 896-907 [doi]
• An Energy-centric Framework for Category-free Out-of-distribution Node Detection in GraphsZheng Gong, Ying Sun. 908-919 [doi]
• Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank MinimizationZhibin Gu, Zhendong Li, Songhe Feng. 920-931 [doi]
• Investigating Out-of-Distribution Generalization of GNNs: An Architecture PerspectiveKai Guo 0003, Hongzhi Wen, Wei Jin 0009, Yaming Guo, Jiliang Tang, Yi Chang 0001. 932-943 [doi]
• Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for RecommendationsLinxin Guo, Yaochen Zhu, Min Gao 0001, Yinghui Tao, Junliang Yu, Chen Chen 0022. 944-955 [doi]
• Ranking with Slot ConstraintsWentao Guo, Andrew Wang, Bradon Thymes, Thorsten Joachims. 956-967 [doi]
• HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph LearningZhuoning Guo, Duanyi Yao, Qiang Yang, Hao Liu. 968-979 [doi]
• Binder: Hierarchical Concept Representation through Order Embedding of Binary VectorsCroix Gyurek, Niloy Talukder, Mohammad Al Hasan. 980-991 [doi]
• AnyLoss: Transforming Classification Metrics into Loss FunctionsDo Heon Han, Nuno Moniz, Nitesh V. Chawla. 992-1003 [doi]
• Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion LearningXiao Han 0004, Chen Zhu 0003, Xiao Hu, Chuan Qin 0002, Xiangyu Zhao 0001, Hengshu Zhu. 1004-1015 [doi]
• Expander Hierarchies for Normalized Cuts on GraphsKathrin Hanauer, Monika Henzinger, Robin Münk, Harald Räcke, Maximilian Vötsch. 1016-1027 [doi]
• A Unified Core Structure in Multiplex Networks: From Finding the Densest Subgraph to Modeling User EngagementFarnoosh Hashemi, Ali Behrouz. 1028-1039 [doi]
• An Efficient Local Search Algorithm for Large GD Advertising Inventory Allocation with Multilinear ConstraintsXiang He, Wuyang Mao, Zhenghang Xu, Yuanzhe Gu, Yundu Huang, Zhonglin Zu, Liang Wang, Mengyu Zhao, Mengchuan Zou. 1040-1049 [doi]
• Model-Agnostic Random Weighting for Out-of-Distribution GeneralizationYue He 0001, Pengfei Tian, Renzhe Xu, Xinwei Shen 0002, Xingxuan Zhang, Peng Cui 0001. 1050-1061 [doi]
• Double Correction Framework for Denoising RecommendationZhuangzhuang He, Yifan Wang 0017, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang 0006. 1062-1072 [doi]
• Budgeted Multi-Armed Bandits with Asymmetric Confidence IntervalsMarco Heyden, Vadim Arzamasov, Edouard Fouché, Klemens Böhm. 1073-1084 [doi]
• RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural NetworkYunbo Hou, Haoran Ye, Yingxue Zhang 0001, Siyuan Xu, Guojie Song. 1085-1095 [doi]
• Is Aggregation the Only Choice? Federated Learning via Layer-wise Model RecombinationMing Hu 0003, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang 0006, Xian Wei, Xiang Lian, Yang Liu 0003, Mingsong Chen. 1096-1107 [doi]
• Privacy-Preserved Neural Graph DatabasesQi Hu, Haoran Li 0003, Jiaxin Bai, Zihao Wang 0001, Yangqiu Song. 1108-1118 [doi]
• Prompt Perturbation in Retrieval-Augmented Generation based Large Language ModelsZhibo Hu, Chen Wang 0008, Yanfeng Shu, Hye-Young Paik, Liming Zhu 0001. 1119-1130 [doi]
• Can Modifying Data Address Graph Domain Adaptation?Renhong Huang, Jiarong Xu, Xin Jiang, Ruichuan An, Yang Yang. 1131-1142 [doi]
• EntropyStop: Unsupervised Deep Outlier Detection with Loss EntropyYihong Huang, Yuang Zhang, Liping Wang 0012, Fan Zhang 0036, Xuemin Lin 0001. 1143-1154 [doi]
• RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression TasksSeonghyeon Hwang, Minsu Kim, Steven Euijong Whang. 1155-1165 [doi]
• Learn Together Stop Apart: An Inclusive Approach to Ensemble PruningBulat Ibragimov, Gleb Gusev. 1166-1176 [doi]
• Uplift Modelling via Gradient BoostingBulat Ibragimov, Anton Vakhrushev. 1177-1187 [doi]
• Efficient Discovery of Time Series Motifs under both Length Differences and WarpingMakoto Imamura, Takaaki Nakamura. 1188-1198 [doi]
• k-Winners Using IRVMd Mouinul Islam, Soroush Vahidi, Baruch Schieber, Senjuti Basu Roy. 1199-1210 [doi]
• FreQuant: A Reinforcement-Learning based Adaptive Portfolio Optimization with Multi-frequency DecompositionJihyeong Jeon, Jiwon Park, Chanhee Park, U Kang. 1211-1221 [doi]
• n RecommendationOlivier Jeunen, Ivan Potapov, Aleksei Ustimenko. 1222-1233 [doi]
• Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative RegularizationSheo Yon Jhin, Seojin Kim, Noseong Park. 1234-1245 [doi]
• Tensorized Unaligned Multi-view Clustering with Multi-scale Representation LearningJintian Ji, Songhe Feng, Yidong Li. 1246-1256 [doi]
• MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph LearningShuo Ji, Mingzhe Liu, Leilei Sun, Chuanren Liu, Tongyu Zhu. 1257-1268 [doi]
• FairMatch: Promoting Partial Label Learning by Unlabeled SamplesJiahao Jiang, Yuheng Jia, Hui Liu 0032, Junhui Hou. 1269-1278 [doi]
• Mutual Distillation Extracting Spatial-temporal Knowledge for Lightweight Multi-channel Sleep Stage ClassificationZiyu Jia, Haichao Wang, Yucheng Liu, Tianzi Jiang. 1279-1289 [doi]
• Automatic Multi-Task Learning Framework with Neural Architecture Search in RecommendationsShen Jiang, Guanghui Zhu, Yue Wang, Chunfeng Yuan, Yihua Huang 0001. 1290-1300 [doi]
• Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language TasksWenyuan Jiang, Wenwei Wu, Le Zhang 0010, Zixuan Yuan, Jian Xiang, Jingbo Zhou, Hui Xiong 0001. 1301-1312 [doi]
• RCTD: Reputation-Constrained Truth Discovery in Sybil Attack Crowdsourcing EnvironmentXing Jin, Zhihai Gong, Jiuchuan Jiang, Chao Wang, Jian Zhang, Zhen Wang. 1313-1324 [doi]
• Sketch-Based Replay Projection for Continual LearningJack Julian, Yun Sing Koh, Albert Bifet. 1325-1335 [doi]
• Bivariate Decision Trees: Smaller, Interpretable, More AccurateRasul Kairgeldin, Miguel Á. Carreira-Perpiñán. 1336-1347 [doi]
• Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical DomainAmin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy 0001, Rajiv Ramnath. 1348-1359 [doi]
• Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label FeaturesSiddhant Kharbanda, Devaansh Gupta, Erik Schultheis, Atmadeep Banerjee, Cho-Jui Hsieh, Rohit Babbar. 1360-1371 [doi]
• CAFO: Feature-Centric Explanation on Time Series ClassificationJaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee. 1372-1382 [doi]
• Fast and Accurate Domain Adaptation for Irregular Tensor DecompositionJunghun Kim, Ka-Hyun Park, Jun-Gi Jang, U Kang. 1383-1394 [doi]
• Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender SystemSein Kim, Hongseok Kang, SeungYoon Choi, Donghyun Kim 0007, Min-Chul Yang, Chanyoung Park. 1395-1406 [doi]
• OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity TypingTanay Komarlu, Minhao Jiang, Xuan Wang 0008, Jiawei Han 0001. 1407-1417 [doi]
• LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character InteractionsZiyi Kou, Shichao Pei, Xiangliang Zhang 0001. 1418-1427 [doi]
• Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go IndifferentLorenz Kummer, Samir Moustafa, Sebastian Schrittwieser, Wilfried N. Gansterer, Nils M. Kriege. 1428-1439 [doi]
• Max-Min Diversification with Asymmetric DistancesIiro Kumpulainen, Florian Adriaens, Nikolaj Tatti. 1440-1450 [doi]
• Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order TensorsTaehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin. 1451-1462 [doi]
• Efficient Topology-aware Data Augmentation for High-Degree Graph Neural NetworksYurui Lai, Xiaoyang Lin, Renchi Yang, Hongtao Wang. 1463-1473 [doi]
• ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware AttentionsZhichen Lai 0001, Dalin Zhang 0001, Huan Li 0003, Dongxiang Zhang, Hua Lu 0001, Christian S. Jensen. 1474-1483 [doi]
• ShapeFormer: Shapelet Transformer for Multivariate Time Series ClassificationXuan-May Thi Le, Ling Luo 0002, Uwe Aickelin, Minh Tuan Tran. 1484-1494 [doi]
• Continual Collaborative Distillation for Recommender SystemGyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu. 1495-1505 [doi]
• SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised LearningJongha Lee, Sunwoo Kim, Kijung Shin. 1506-1517 [doi]
• Layer-Wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep LearningSunWoo Lee. 1518-1529 [doi]
• RecExplainer: Aligning Large Language Models for Explaining Recommendation ModelsYuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang 0008, Defu Lian, Xing Xie 0001. 1530-1541 [doi]
• Scalable Multitask Learning Using Gradient-based Estimation of Task AffinityDongyue Li, Aneesh Sharma, Hongyang R. Zhang. 1542-1553 [doi]
• Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed GraphsHao Li, Hao Jiang 0010, Jiajun Fan, Dongsheng Ye, Liang Du. 1554-1564 [doi]
• Truthful Bandit Mechanisms for Repeated Two-stage Ad AuctionsHaoming Li 0017, Yumou Liu, Zhenzhe Zheng, Zhilin Zhang 0003, Jian Xu 0015, Fan Wu 0006. 1565-1575 [doi]
• Debiased Recommendation with Noisy FeedbackHaoxuan Li, Chunyuan Zheng, Wenjie Wang 0007, Hao Wang 0049, Fuli Feng, Xiao-Hua Zhou. 1576-1586 [doi]
• Physics-informed Neural ODE for Post-disaster Mobility RecoveryJiahao Li, Huandong Wang, Xinlei Chen. 1587-1598 [doi]
• Label Learning Method Based on Tensor ProjectionJing Li 0026, Quanxue Gao, Qianqian Wang 0001, Cheng Deng, De-Yan Xie. 1599-1609 [doi]
• Causal Subgraph Learning for Generalizable Inductive Relation PredictionMei Li, Xiaoguang Liu 0001, Hua Ji, Shuangjia Zheng. 1610-1620 [doi]
• Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path RecommendationQingyao Li, Wei Xia 0001, Li'ang Yin, Jiarui Jin, Yong Yu 0001. 1621-1630 [doi]
• SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge GraphRan Li, Shimin Di, Lei Chen 0002, Xiaofang Zhou 0001. 1631-1642 [doi]
• ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous DrivingRongqing Li, Changsheng Li, Yuhang Li, Hanjie Li, Yi Chen, Ye Yuan 0001, Guoren Wang. 1643-1654 [doi]
• Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic SpaceRuikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li 0008. 1655-1666 [doi]
• Self-Distilled Disentangled Learning for Counterfactual PredictionXinshu Li, Mingming Gong, Lina Yao. 1667-1678 [doi]
• InLN: Knowledge-aware Incremental Leveling Network for Dynamic AdvertisingXujia Li, Jingshu Peng, Lei Chen 0002. 1679-1690 [doi]
• Bi-Objective Contract Allocation for Guaranteed Delivery AdvertisingYan Li, Yundu Huang, Wuyang Mao, Furong Ye, Xiang He, Zhonglin Zu, Shaowei Cai 0001. 1691-1700 [doi]
• Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachYicong Li 0001, Yu Yang 0012, Jiannong Cao 0001, Shuaiqi Liu 0002, Haoran Tang, Guandong Xu 0001. 1701-1712 [doi]
• Improving Robustness of Hyperbolic Neural Networks by Lipschitz AnalysisYuekang Li, Yidan Mao, Yifei Yang, Dongmian Zou. 1713-1724 [doi]
• ZeroG: Investigating Cross-dataset Zero-shot Transferability in GraphsYuhan Li 0001, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li 0009. 1725-1735 [doi]
• Rethinking Fair Graph Neural Networks from Re-balancingZhixun Li, Yushun Dong, Qiang Liu 0006, Jeffrey Xu Yu. 1736-1745 [doi]
• Customizing Graph Neural Network for CAD Assembly RecommendationFengqi Liang, Huan Zhao, Yuhan Quan, Wei Fang, Chuan Shi. 1746-1757 [doi]
• Image Similarity Using an Ensemble of Context-Sensitive ModelsZukang Liao, Min Chen 0001. 1758-1769 [doi]
• When Box Meets Graph Neural Network in Tag-aware RecommendationFake Lin, Ziwei Zhao 0002, Xi Zhu 0004, Da Zhang, Shitian Shen, Xueying Li, Tong Xu 0001, Suojuan Zhang, Enhong Chen. 1770-1780 [doi]
• MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply PredictionLi Lin 0011, Zhiqiang Lu, Shuai Wang 0008, Yunhuai Liu, Zhiqing Hong, Haotian Wang 0008, Shuai Wang 0008. 1781-1792 [doi]
• PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph ClusteringLonglong Lin, Tao Jia 0001, Zeli Wang, Jin Zhao, Rong-Hua Li. 1793-1803 [doi]
• Robust Auto-Bidding Strategies for Online AdvertisingQilong Lin, Zhenzhe Zheng, Fan Wu 0006. 1804-1815 [doi]
• Bridging Items and Language: A Transition Paradigm for Large Language Model-Based RecommendationXinyu Lin, Wenjie Wang 0007, Yongqi Li 0001, Fuli Feng, See-Kiong Ng, Tat-Seng Chua. 1816-1826 [doi]
• On the Convergence of Zeroth-Order Federated Tuning for Large Language ModelsZhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen 0001. 1827-1838 [doi]
• CONFIDE: Contextual Finite Difference Modelling of PDEsOri Linial, Orly Avner, Dotan Di Castro. 1839-1850 [doi]
• CASA: Clustered Federated Learning with Asynchronous ClientsBoyi Liu, Yiming Ma 0005, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong. 1851-1862 [doi]
• FAST: An Optimization Framework for Fast Additive Segmentation in Transparent MLBrian Liu 0002, Rahul Mazumder. 1863-1874 [doi]
• TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and DynamicsChang Liu, Jingtao Ding, Yiwen Song, Yong Li 0008. 1875-1886 [doi]
• Fast Query of Biharmonic Distance in NetworksChangan Liu, Ahad N. Zehmakan, Zhongzhi Zhang. 1887-1897 [doi]
• Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot GeneralizationFei Liu 0044, Xi Lin 0001, Zhenkun Wang, Qingfu Zhang 0001, Xialiang Tong, Mingxuan Yuan. 1898-1908 [doi]
• Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label LearningHao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang. 1909-1920 [doi]
• An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut ProblemHuaiyuan Liu, Xianzhang Liu, Donghua Yang, Hongzhi Wang, Yingchi Long, Mengtong Ji, Dongjing Miao, Zhiyu Liang. 1921-1932 [doi]
• ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based IndexesShizhe Liu, Haipeng Dai, Shaoxu Song, Meng Li, Jingsong Dai, Rong Gu, Guihai Chen. 1933-1943 [doi]
• BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated LearningYi Liu 0057, Cong Wang 0001, Xingliang Yuan. 1944-1955 [doi]
• Probabilistic Attention for Sequential RecommendationYuli Liu, Christian Walder, Lexing Xie, Yiqun Liu 0001. 1956-1967 [doi]
• Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning PerspectiveYunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen 0001. 1968-1979 [doi]
• Dataset Condensation for Time Series Classification via Dual Domain MatchingZhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu. 1980-1991 [doi]
• Graph Data Condensation via Self-expressive Graph Structure ReconstructionZhanyu Liu, Chaolv Zeng, Guanjie Zheng. 1992-2002 [doi]
• Generative Pretrained Hierarchical Transformer for Time Series ForecastingZhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li. 2003-2013 [doi]
• AIM: Attributing, Interpreting, Mitigating Data UnfairnessZhining Liu 0001, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong. 2014-2025 [doi]
• Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI RecommendationsJing Long, Guanhua Ye, Tong Chen 0005, Yang Wang 0023, Meng Wang 0001, Hongzhi Yin. 2026-2036 [doi]
• High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global UpdatesFred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt. 2037-2047 [doi]
• Neural Collapse Inspired Debiased Representation Learning for Min-max FairnessShenyu Lu, Junyi Chai 0004, Xiaoqian Wang 0001. 2048-2059 [doi]
• AdaGMLP: AdaBoosting GNN-to-MLP Knowledge DistillationWeigang Lu, Ziyu Guan, Wei Zhao 0019, Yaming Yang 0002. 2060-2071 [doi]
• FUGNN: Harmonizing Fairness and Utility in Graph Neural NetworksRenqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang 0001, Feng Xia 0001. 2072-2081 [doi]
• Learning Multi-view Molecular Representations with Structured and Unstructured KnowledgeYizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zikun Nie, Hao Zhou 0012, Zaiqing Nie. 2082-2093 [doi]
• Cross-Context Backdoor Attacks against Graph Prompt LearningXiaoting Lyu, Yufei Han, Wei Wang 0012, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang 0001. 2094-2105 [doi]
• Low Rank Multi-Dictionary Selection at ScaleBoya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov. 2106-2117 [doi]
• PolyFormer: Scalable Node-wise Filters via Polynomial Graph TransformerJiaHong Ma, Mingguo He, Zhewei Wei. 2118-2129 [doi]
• Handling Varied Objectives by Online Decision MakingLanjihong Ma, Zhen-yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou. 2130-2140 [doi]
• Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton PosteriorPingchuan Ma 0004, Rui Ding 0001, Qiang Fu, Jiaru Zhang, Shuai Wang 0011, Shi Han, Dongmei Zhang 0001. 2141-2152 [doi]
• Graph Anomaly Detection with Few Labels: A Data-Centric ApproachXiaoxiao Ma 0002, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang 0001, Jia Wu 0001. 2153-2164 [doi]
• FLAIM: AIM-based Synthetic Data Generation in the Federated SettingSamuel Maddock, Graham Cormode, Carsten Maple. 2165-2176 [doi]
• A Uniformly Bounded Correlation Function for Spatial Point PatternsEvgenia Martynova, Johannes Textor. 2177-2188 [doi]
• Fair Column Subset SelectionAntonis Matakos, Bruno Ordozgoiti, Suhas Thejaswi. 2189-2199 [doi]
• Interpretable Transformer Hawkes Processes: Unveiling Complex Interactions in Social NetworksZizhuo Meng, Ke Wan, Yadong Huang, Zhidong Li, Yang Wang 0002, Feng Zhou 0011. 2200-2211 [doi]
• Scaling Training Data with Lossy Image CompressionKatherine L. Mentzer, Andrea Montanari. 2212-2223 [doi]
• Learning Causal Networks from Episodic DataOsman Mian, Sarah Mameche, Jilles Vreeken. 2224-2235 [doi]
• Quantifying and Estimating the Predictability Upper Bound of Univariate Numeric Time SeriesJamal Mohammed, Michael H. Böhlen, Sven Helmer. 2236-2247 [doi]
• Money Never Sleeps: Maximizing Liquidity Mining Yields in Decentralized FinanceWangze Ni, Yiwei Zhao, Weijie Sun 0002, Lei Chen 0002, Peng Cheng 0003, Chen Jason Zhang, Xuemin Lin 0001. 2248-2259 [doi]
• ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal ImputationTong Nie, Guoyang Qin, Wei Ma, Yuewen Mei, Jian Sun. 2260-2271 [doi]
• Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive LearningZhijie Nie, Richong Zhang, Zhangchi Feng, Hailang Huang, Xudong Liu 0001. 2272-2283 [doi]
• CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM AgentLiang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li 0001, Xin Xu 0002, Hao Chen 0062, Feiran Huang. 2284-2295 [doi]
• Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time SeriesKohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai. 2296-2306 [doi]
• Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.IHarrie Oosterhuis, Rolf Jagerman, Zhen Qin 0001, Xuanhui Wang, Michael Bendersky. 2307-2317 [doi]
• Ontology Enrichment for Effective Fine-grained Entity TypingSiru Ouyang, Jiaxin Huang 0001, Pranav Pillai, Yunyi Zhang 0044, Yu Zhang 0001, Jiawei Han 0001. 2318-2327 [doi]
• Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter SelectionYong-chan Park, Jongjin Kim 0001, U Kang. 2328-2339 [doi]
• BTTackler: A Diagnosis-based Framework for Efficient Deep Learning Hyperparameter OptimizationZhongyi Pei, Zhiyao Cen, Yipeng Huang 0006, Chen Wang 0018, Lin Liu 0001, Philip S. Yu, Mingsheng Long, Jianmin Wang 0001. 2340-2351 [doi]
• Scalable Rule Lists Learning with SamplingLeonardo Pellegrina, Fabio Vandin. 2352-2363 [doi]
• CoMAL: Contrastive Active Learning for Multi-Label Text ClassificationCheng Peng, Haobo Wang, Ke Chen 0005, Lidan Shou, Chang Yao, Runze Wu, Gang Chen 0001. 2364-2375 [doi]
• TSC: A Simple Two-Sided Constraint against Over-SmoothingFurong Peng, Kang Liu, Xuan Lu, Yuhua Qian, HongRen Yan, Chao Ma 0002. 2376-2387 [doi]
• How Powerful is Graph Filtering for RecommendationShaowen Peng, Xin Liu, Kazunari Sugiyama, Tsunenori Mine. 2388-2399 [doi]
• Fredformer: Frequency Debiased Transformer for Time Series ForecastingXihao Piao, Zheng Chen 0012, Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai. 2400-2410 [doi]
• CASH via Optimal Diversity for Ensemble LearningPranav Poduval, Sanjay Kumar Patnala, Gaurav Oberoi, Nitish Srivasatava, Siddhartha Asthana. 2411-2419 [doi]
• Unifying Evolution, Explanation, and Discernment: A Generative Approach for Dynamic Graph CounterfactualsBardh Prenkaj, Mario Villaizán-Vallelado, Tobias Leemann, Gjergji Kasneci. 2420-2431 [doi]
• QSketch: An Efficient Sketch for Weighted Cardinality Estimation in StreamsYiyan Qi, Rundong Li, Pinghui Wang, Yufang Sun, Rui Xing. 2432-2443 [doi]
• Reimagining Graph Classification from a Prototype View with Optimal Transport: Algorithm and TheoremChen Qian, Huayi Tang, Hong Liang, Yong Liu. 2444-2454 [doi]
• ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education SystemsHong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou. 2455-2466 [doi]
• Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality DegradationMeng Qin, Chaorui Zhang, Yu Gao, Weixi Zhang, Dit-Yan Yeung. 2467-2478 [doi]
• A Fast Exact Algorithm to Enumerate Maximal Pseudo-cliques in Large Sparse GraphsAhsanur Rahman, Kalyan Roy, Ramiza Maliha, Townim Faisal Chowdhury. 2479-2490 [doi]
• RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting AlgorithmsLuis Roque, Carlos Soares, Luís Torgo. 2491-2499 [doi]
• CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal ControlJingqing Ruan, Ziyue Li 0002, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao 0001. 2500-2511 [doi]
• A Novel Feature Space Augmentation Method to Improve Classification Performance and Evaluation ReliabilitySakhawat Hossain Saimon, Tanzira Najnin, Jianhua Ruan. 2512-2523 [doi]
• LARP: Language Audio Relational Pre-training for Cold-Start Playlist ContinuationRebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua. 2524-2535 [doi]
• Scalable Temporal Motif Densest Subnetwork DiscoveryIlie Sarpe, Fabio Vandin, Aristides Gionis. 2536-2547 [doi]
• DPHGNN: A Dual Perspective Hypergraph Neural NetworksSiddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee, Tanmoy Chakraborty 0002. 2548-2559 [doi]
• Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting MaskZineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim. 2560-2571 [doi]
• Self-Explainable Temporal Graph Networks based on Graph Information BottleneckSangwoo Seo, Sungwon Kim 0002, Jihyeong Jung, Yoonho Lee 0002, Chanyoung Park. 2572-2583 [doi]
• NeuroCut: A Neural Approach for Robust Graph PartitioningRishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu. 2584-2595 [doi]
• Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing RangeHuaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan. 2596-2607 [doi]
• Offline Imitation Learning with Model-based Reverse AugmentationJie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo, Yu-Feng Li. 2608-2617 [doi]
• STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement LearningWei Shao 0006, Yufan Kang, Ziyan Peng, Xiao Xiao, Lei Wang, Yuhui Yang, Flora D. Salim. 2618-2627 [doi]
• Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education SystemsJunhao Shen, Hong Qian, Shuo Liu, Wei Zhang, Bo Jiang, Aimin Zhou. 2628-2639 [doi]
• Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion ModelsXu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang 0035. 2640-2650 [doi]
• MSPipe: Efficient Temporal GNN Training via Staleness-Aware PipelineGuangming Sheng, Junwei Su, Chao Huang, Chuan Wu 0001. 2651-2662 [doi]
• Efficient and Long-Tailed Generalization for Pre-trained Vision-Language ModelJiang-Xin Shi, Chi Zhang, Tong Wei 0001, Yu-Feng Li. 2663-2673 [doi]
• Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution ClassificationRuize Shi, Hong Huang 0001, Kehan Yin, Wei Zhou, Hai Jin 0001. 2674-2685 [doi]
• LPFormer: An Adaptive Graph Transformer for Link PredictionHarry Shomer, Yao Ma 0001, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang. 2686-2698 [doi]
• CoLiDR: Concept Learning using Aggregated Disentangled RepresentationsSanchit Sinha, Guangzhi Xiong, Aidong Zhang. 2699-2710 [doi]
• MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context LearningSanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang. 2711-2720 [doi]
• On Early Detection of Hallucinations in Factual Question AnsweringBen Snyder, Marius Moisescu, Muhammad Bilal Zafar. 2721-2732 [doi]
• Marrying Dialogue Systems with Data Visualization: Interactive Data Visualization Generation from Natural Language ConversationsYuanfeng Song, Xuefang Zhao, Raymond Chi-Wing Wong. 2733-2744 [doi]
• Mitigating Negative Transfer in Cross-Domain Recommendation via Knowledge Transferability EnhancementZijian Song, Wenhan Zhang 0004, Lifang Deng, Jiandong zhang, Zhihua Wu, Kaigui Bian, Bin Cui 0001. 2745-2754 [doi]
• Fast Computation for the Forest Matrix of an Evolving GraphHaoxin Sun, Xiaotian Zhou, Zhongzhi Zhang. 2755-2764 [doi]
• CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal ControlQian Sun, Rui Zha, Le Zhang 0010, Jingbo Zhou, Yu Mei, Zhiling Li, Hui Xiong 0001. 2765-2774 [doi]
• Dual-Assessment Driven Pruning: Iterative Optimizing Layer-wise Sparsity for Large Language ModelQinghui Sun, Weilun Wang, Yanni Zhu, Shenghuan He, Hao Yi, Zehua Cai, Hong Liu. 2775-2783 [doi]
• Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal RegularityTianao Sun, Ke Fu, Weiming Huang, Kai Zhao, Yongshun Gong, Meng Chen 0003. 2784-2793 [doi]
• DIVE: Subgraph Disagreement for Graph Out-of-Distribution GeneralizationXin Sun, Liang Wang 0056, Qiang Liu 0006, Shu Wu, Zilei Wang, Liang Wang 0001. 2794-2805 [doi]
• Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social RecommendationYouchen Sun, Zhu Sun 0001, Yingpeng Du, Jie Zhang 0002, Yew-Soon Ong. 2806-2817 [doi]
• Hierarchical Linear Symbolized Tree-Structured Neural ProcessesJinyang Tai, Yi-Ke Guo. 2818-2829 [doi]
• Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable AttributeTajima Shinji, Ren Sugihara, Ryota Kitahara, Masayuki Karasuyama. 2830-2841 [doi]
• HiGPT: Heterogeneous Graph Language ModelJiabin Tang, Yuhao Yang 0002, Wei Wei 0027, Lei Shi, Long Xia, Dawei Yin, Chao Huang 0001. 2842-2853 [doi]
• Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive LearningJiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li. 2854-2865 [doi]
• EcoVal: An Efficient Data Valuation Framework for Machine LearningAyush K. Tarun, Vikram S. Chundawat, Murari Mandal, Hong Ming Tan, Bowei Chen 0001, Mohan S. Kankanhalli. 2866-2875 [doi]
• Causal Estimation of Exposure Shifts with Neural Networks and an Application to Inform Air Quality Standards in the USMauricio Tec, Kevin Josey, Oladimeji Mudele, Francesca Dominici. 2876-2887 [doi]
• URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View ClusteringGe Teng, Ting Mao, Chen Shen 0003, Xiang Tian 0002, Xuesong Liu, Yaowu Chen, Jieping Ye. 2888-2899 [doi]
• Latent Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph ModelYuxing Tian, Aiwen Jiang, Qi Huang, Jian Guo, Yiyan Qi. 2900-2911 [doi]
• Rotative Factorization MachinesZhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen. 2912-2923 [doi]
• Online Drift Detection with Maximum Concept DiscrepancyKe Wan 0002, Yi Liang, Susik Yoon. 2924-2935 [doi]
• Flexible Graph Neural Diffusion with Latent Class Representation LearningLiangtian Wan, Huijin Han, Lu Sun 0004, Zixun Zhang, Zhaolong Ning, Xiaoran Yan, Feng Xia 0001. 2936-2947 [doi]
• STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal ShiftsBinwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang 0029, Yudong Zhang 0005, Zhengyang Zhou, Yang Wang 0015. 2948-2959 [doi]
• Provable Adaptivity of Adam under Non-uniform SmoothnessBohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun 0001, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen 0034. 2960-2969 [doi]
• Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential RecommendationChen Wang 0052, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu. 2970-2979 [doi]
• Multi-Scale Detection of Anomalous Spatio-Temporal Trajectories in Evolving Trajectory DatasetsChenhao Wang, Lisi Chen, Shuo Shang, Christian S. Jensen, Panos Kalnis. 2980-2990 [doi]
• Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement LearningDanqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj Singh, William Yang Wang, Lei Li 0005. 2991-3000 [doi]
• Reinforced Compressive Neural Architecture Search for Versatile Adversarial RobustnessDingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu 0001. 3001-3012 [doi]
• CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect EstimationFan Wang 0020, Chaochao Chen 0001, Weiming Liu 0005, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng. 3013-3023 [doi]
• Routing Evidence for Unseen Actions in Video Moment RetrievalGuolong Wang, Xun Wu, Zheng Qin 0003, Liangliang Shi. 3024-3035 [doi]
• Revisiting Local PageRank Estimation on Undirected Graphs: Simple and OptimalHanzhi Wang 0001. 3036-3044 [doi]
• Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and GeneralizationHaohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng 0002, Si Zhang, Yonghui Fan, Liqing Zhang 0002, Dawei Zhou 0003. 3045-3056 [doi]
• Unsupervised Heterogeneous Graph Rewriting Attack via Node ClusteringHaosen Wang, Can Xu, Chenglong Shi, Pengfei Zheng, Shiming Zhang, Minhao Cheng, Hongyang Chen. 3057-3068 [doi]
• FedNLR: Federated Learning with Neuron-wise Learning RatesHaozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu 0001, Ruixuan Li 0001, Tianwei Zhang 0004. 3069-3080 [doi]
• Effective Edge-wise Representation Learning in Edge-Attributed Bipartite GraphsHewen Wang, Renchi Yang, Xiaokui Xiao. 3081-3091 [doi]
• Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural NetworksJiachuan Wang, Shimin Di, Lei Chen 0002, Charles Wang Wai Ng. 3092-3103 [doi]
• Robust Predictions with Ambiguous Time Delays: A Bootstrap StrategyJiajie Wang, Zhiyuan Jerry Lin, Wen Chen. 3104-3115 [doi]
• A Novel Prompt Tuning for Graph Transformers: Tailoring Prompts to Graph TopologiesJingchao Wang, Zhengnan Deng, Tongxu Lin, Wenyuan Li 0007, Shaobin Ling. 3116-3127 [doi]
• DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource AllocationJingwei Wang 0002, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang 0034, Jianye Hao, Yong Li 0008. 3128-3139 [doi]
• POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt TuningJunxiang Wang, Guangji Bai, Wei Cheng 0002, Zhengzhang Chen, Liang Zhao 0002, Haifeng Chen. 3140-3151 [doi]
• The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive FieldKun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang 0036, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang. 3152-3163 [doi]
• The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic GraphsKun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang 0034, Yuxuan Liang. 3164-3175 [doi]
• CutAddPaste: Time Series Anomaly Detection by Exploiting Abnormal KnowledgeRui Wang 0118, Xudong Mou, Renyu Yang, Kai Gao, Pin Liu, Chongwei Liu, Tianyu Wo, Xudong Liu 0001. 3176-3187 [doi]
• Advancing Molecule Invariant Representation via Privileged Substructure IdentificationRuijia Wang, Haoran Dai, Cheng Yang, Le Song, Chuan Shi. 3188-3199 [doi]
• A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News RecommendationShoujin Wang, Wentao Wang, Xiuzhen Zhang 0001, Yan Wang 0002, Huan Liu 0001, Fang Chen. 3200-3211 [doi]
• DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map InferenceShuliang Wang, Xinyu Pan, Sijie Ruan, Haoyu Han, Ziyu Wang, Hanning Yuan, Jiabao Zhu, Qi Li. 3212-3221 [doi]
• Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation EnhancementYakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang. 3222-3232 [doi]
• Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature InteractionsYaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou. 3233-3244 [doi]
• EAGER: Two-Stream Generative Recommender with Behavior-Semantic CollaborationYe Wang, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin 0004, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia 0006, Zhou Zhao, Zhenhua Dong. 3245-3254 [doi]
• DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding WindowsYiping Wang, Yanhao Wang 0001, Cen Chen. 3255-3266 [doi]
• AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity TypingYun-Cheng Wang, Xiou Ge, Bin Wang 0040, C. C. Jay Kuo. 3267-3276 [doi]
• Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural NetworksYuwen Wang, Shunyu Liu 0001, Tongya Zheng, Kaixuan Chen 0004, Mingli Song. 3277-3288 [doi]
• Self-Supervised Learning for Graph Dataset CondensationYuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang 0001, Quanqing Xu, Qingchen Zhang, Bo Du 0001, Jiawei Jiang 0001. 3289-3298 [doi]
• FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated LearningZihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang 0003, Xiaoliang Fan. 3299-3310 [doi]
• Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning AttacksZongwei Wang 0002, Junliang Yu, Min Gao 0001, Hongzhi Yin, Bin Cui 0001, Shazia W. Sadiq. 3311-3322 [doi]
• From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language ModelsXumeng Wen, Han Zhang, Shun Zheng, Wei Xu, Jiang Bian. 3323-3333 [doi]
• Dense Subgraph Discovery Meets Strong Triadic ClosureChamalee Wickrama Arachchi, Iiro Kumpulainen, Nikolaj Tatti. 3334-3344 [doi]
• FedBiOT: LLM Local Fine-tuning in Federated Learning without Full ModelFeijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao 0004. 3345-3355 [doi]
• Neural Manifold Operators for Learning the Evolution of Physical DynamicsHao Wu, Kangyu Weng, Shuyi Zhou, Xiaomeng Huang, Wei Xiong 0016. 3356-3366 [doi]
• Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style AttacksJiaying Wu, Jiafeng Guo, Bryan Hooi. 3367-3378 [doi]
• Distributional Network of Networks for Modeling Data HeterogeneityJun Wu 0019, Jingrui He, Hanghang Tong. 3379-3390 [doi]
• CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail RecommendationJunda Wu, Cheng-Chun Chang, Tong Yu 0001, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley. 3391-3401 [doi]
• Counterfactual Generative Models for Time-Varying TreatmentsShenghao Wu, Wenbin Zhou, Minshuo Chen, Shixiang Zhu. 3402-3413 [doi]
• ProCom: A Few-shot Targeted Community Detection AlgorithmXixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang. 3414-3424 [doi]
• Unifying Graph Convolution and Contrastive Learning in Collaborative FilteringYihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie. 3425-3436 [doi]
• DFGNN: Dual-frequency Graph Neural Network for Sign-aware FeedbackYiqing Wu, Ruobing Xie, Zhao Zhang 0011, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu. 3437-3447 [doi]
• Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance ClaimYupeng Wu, Zhibo Zhu, Chaoyi Ma, Hong Qian, Xingyu Lu, Yangwenhui Zhang, Xiaobo Qin, Binjie Fei, Jun Zhou, Aimin Zhou. 3448-3459 [doi]
• A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNNZhen Wu, Jingya Zhou, Jinghui Zhang, Ling Liu 0001, Chizhou Huang. 3460-3471 [doi]
• Fast Computation of Kemeny's Constant for Directed GraphsHaisong Xia, Zhongzhi Zhang. 3472-3483 [doi]
• FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature AugmentationTong Xia, Abhirup Ghosh, Xinchi Qiu, Cecilia Mascolo. 3484-3494 [doi]
• Predicting Cascading Failures with a Hyperparametric Diffusion ModelBin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan. 3495-3506 [doi]
• Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender SystemsZhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan 0007. 3507-3517 [doi]
• Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly DetectionChunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou 0002. 3518-3526 [doi]
• ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual FoundationsCongxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, Hui Xiong 0001. 3527-3538 [doi]
• How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge GraphsHanhua Xiao, Yuchen Li 0001, Yanhao Wang 0001, Panagiotis Karras, Kyriakos Mouratidis, Natalia Rozalia Avlona. 3539-3550 [doi]
• Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided MaskJingyu Xiao, Zhiyao Xu, Qingsong Zou, Qing Li 0006, Dan Zhao 0003, Dong Fang, Ruoyu Li, Wenxin Tang, Kang Li, Xudong Zuo, Penghui Hu, Yong Jiang 0001, Zixuan Weng, Michael R. Lyu. 3551-3562 [doi]
• Towards Lightweight Graph Neural Network Search with Curriculum Graph SparsificationBeini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang 0019, Yuan Meng, Wenwu Zhu 0001. 3563-3573 [doi]
• Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated LearningYidan Xing, Zhenzhe Zheng, Fan Wu 0006. 3574-3585 [doi]
• FRNet: Frequency-based Rotation Network for Long-term Time Series ForecastingXinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew-Soon Ong. 3586-3597 [doi]
• Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution NetworksFeiyang Xu, Shunyu Liu 0001, Yunpeng Qing, Yihe Zhou, Yuwen Wang, Mingli Song. 3598-3609 [doi]
• FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare PredictionMuhao Xu, Zhenfeng Zhu, Youru Li, Shuai Zheng 0005, Yawei Zhao, Kunlun He, Yao Zhao 0001. 3610-3620 [doi]
• PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly DetectionRonghui Xu, Hao Miao 0001, Senzhang Wang, Philip S. Yu, Jianxin Wang 0001. 3621-3632 [doi]
• ProtoMix: Augmenting Health Status Representation Learning via Prototype-based MixupYongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao 0001, Yasha Wang, Bing Xie. 3633-3644 [doi]
• Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User FeedbackGuipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin 0001, Chong Liu, Feng Xia 0006, Zhanhui Kang, Leyu Lin. 3645-3656 [doi]
• Extreme Meta-Classification for Large-Scale Zero-Shot RetrievalSachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao 0007, Manik Varma. 3657-3666 [doi]
• FedRoLA: Robust Federated Learning Against Model Poisoning via Layer-based AggregationGang Yan, Hao Wang 0022, Xu Yuan 0001, Jian Li 0008. 3667-3678 [doi]
• Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPsJiahuan Yan, Jintai Chen, Qianxing Wang, Danny Z. Chen, Jian Wu 0001. 3679-3689 [doi]
• Efficient Mixture of Experts based on Large Language Models for Low-Resource Data PreprocessingMengyi Yan, Yaoshu Wang, Kehan Pang, Min Xie, Jianxin Li 0002. 3690-3701 [doi]
• An Efficient Subgraph GNN with Provable Substructure Counting PowerZuoYu Yan, Junru Zhou, Liangcai Gao, Zhi Tang 0001, Muhan Zhang. 3702-3713 [doi]
• Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and MethodChen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu 0001, Yang Song 0021, Hengshu Zhu. 3714-3723 [doi]
• Noisy Label Removal for Partial Multi-Label LearningFuchao Yang, Yuheng Jia, Hui Liu 0032, Yongqiang Dong, Junhui Hou. 3724-3735 [doi]
• Towards Test Time Adaptation via Calibrated Entropy MinimizationHao Yang, Min Wang 0034, Jinshen Jiang, Yun Zhou 0001. 3736-3746 [doi]
• Balanced Confidence Calibration for Graph Neural NetworksHao Yang, Min Wang 0034, Qi Wang, Mingrui Lao, Yun Zhou 0001. 3747-3757 [doi]
• Efficient Decision Rule List Learning via Unified Sequence Submodular OptimizationLinxiao Yang, Jingbang Yang, Liang Sun 0001. 3758-3769 [doi]
• Hypformer: Exploring Efficient Transformer Fully in Hyperbolic SpaceMenglin Yang 0001, Harshit Verma, Delvin Ce Zhang, Jiahong Liu 0001, Irwin King, Rex Ying. 3770-3781 [doi]
• Effective Clustering on Large Attributed Bipartite GraphsRenchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang 0001, Tsz Nam Chan, Jieming Shi. 3782-3793 [doi]
• Practical Single Domain Generalization via Training-time and Test-time LearningShuai Yang 0003, Zhen Zhang, Lichuan Gu. 3794-3805 [doi]
• Conversational Dueling Bandits in Generalized Linear ModelsShuhua Yang, Hui Yuan, Xiaoying Zhang, Mengdi Wang, Hong Zhang, Huazheng Wang. 3806-3817 [doi]
• ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion DetectionShuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xingjun Wang, Edith C. H. Ngai. 3818-3828 [doi]
• Your Neighbor Matters: Towards Fair Decisions Under Networked InterferenceWenjing Yang 0002, Haotian Wang 0001, Haoxuan Li, Hao Zou 0001, Ruochun Jin, Kun Kuang, Peng Cui 0001. 3829-3840 [doi]
• SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot DetectionYingguang Yang, Qi Wu, Buyun He, Hao Peng 0001, Renyu Yang, Zhifeng Hao, Yong Liao. 3841-3852 [doi]
• Graph Bottlenecked Social RecommendationYonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang 0001. 3853-3862 [doi]
• Rethinking Order Dispatching in Online Ride-Hailing PlatformsZhaoxing Yang, Haiming Jin, Guiyun Fan, Min Lu, Yiran Liu, Xinlang Yue, Hao Pan, Zhe Xu, Guobin Wu, Qun Li, Xiaotong Wang, Jiecheng Guo. 3863-3873 [doi]
• User Welfare Optimization in Recommender Systems with Competing Content CreatorsFan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Jingzhou Liu, Qifan Wang, Haifeng Xu, Hongning Wang. 3874-3885 [doi]
• AdaRD: An Adaptive Response Denoising Framework for Robust Learner ModelingFangzhou Yao, Qi Liu, Linan Yue, Weibo Gao, Jiatong Li, Xin Li, Yuanjing He. 3886-3895 [doi]
• Approximate Matrix Multiplication over Sliding WindowsZiqi Yao, Lianzhi Li, Mingsong Chen, Xian Wei, Cheng Chen. 3896-3906 [doi]
• Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based ApproachXiaowei Ye, Rong-Hua Li, Lei Liang, Zhizhen Liu, Longlong Lin, Guoren Wang. 3907-3918 [doi]
• RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal DataChin-Chia Michael Yeh, Yujie Fan, Xin Dai, Uday Singh Saini, Vivian Lai, Prince Osei Aboagye, Junpeng Wang 0001, Huiyuan Chen, Yan Zheng 0001, Zhongfang Zhuang, Liang Wang 0047, Wei Zhang 0189. 3919-3930 [doi]
• Embedding Two-View Knowledge Graphs with Class Inheritance and Structural SimilarityKyuhwan Yeom, Hyeongjun Yang, Gayeon Park, Myeongheon Jeon, Yunjeong Ko, Byungkook Oh, Kyong-Ho Lee. 3931-3941 [doi]
• Using Self-supervised Learning Can Improve Model FairnessSofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar. 3942-3953 [doi]
• Dataset Regeneration for Sequential RecommendationMingjia Yin, Hao Wang 0076, Wei Guo 0006, Yong Liu 0020, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen. 3954-3965 [doi]
• Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuningWangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu. 3966-3976 [doi]
• Top-Down Bayesian Posterior Sampling for Sum-Product NetworksSoma Yokoi, Issei Sato. 3977-3988 [doi]
• GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable MissingChengqing Yu, Fei Wang 0014, Zezhi Shao, Tangwen Qian, Zhao Zhang 0011, Wei Wei 0002, Yongjun Xu. 3989-4000 [doi]
• Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data PredictionDazhou Yu, Xiaoyun Gong, Yun Li 0005, Meikang Qiu, Liang Zhao 0002. 4001-4011 [doi]
• PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility GraphDazhou Yu, Yuntong Hu, Yun Li, Liang Zhao. 4012-4022 [doi]
• Personalized Federated Continual Learning via Multi-Granularity PromptHao Yu, Xin Yang 0012, Xin Gao, Yan Kang, Hao Wang 0068, Junbo Zhang, Tianrui Li 0001. 4023-4034 [doi]
• BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text ClassificationLinzhu Yu, Huan Li 0003, Ke Chen 0005, Lidan Shou. 4035-4046 [doi]
• RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning ProcessesXiaoshan Yu, Chuan Qin 0002, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang 0001. 4047-4058 [doi]
• Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph DataHanyang Yuan, Jiarong Xu, Cong Wang, Ziqi Yang, Chunping Wang, Keting Yin, Yang Yang. 4059-4070 [doi]
• DipDNN: Preserving Inverse Consistency and Approximation Efficiency for Invertible LearningJingyi Yuan, Yang Weng, Erik Blasch. 4071-4082 [doi]
• Graph Cross Supervised Learning via Generalized KnowledgeXiangchi Yuan, Yijun Tian 0001, Chunhui Zhang, Yanfang Ye 0001, Nitesh V. Chawla, Chuxu Zhang. 4083-4094 [doi]
• UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal PredictionYuan Yuan 0032, Jingtao Ding, Jie Feng 0002, Depeng Jin, Yong Li 0008. 4095-4106 [doi]
• Effective Generation of Feasible Solutions for Integer Programming via Guided DiffusionHao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun. 4107-4118 [doi]
• Conditional Logical Message Passing Transformer for Complex Query AnsweringChongzhi Zhang, Zhiping Peng, Junhao Zheng, Qianli Ma 0001. 4119-4130 [doi]
• GPFedRec: Graph-Guided Personalization for Federated RecommendationChunxu Zhang, Guodong Long, Tianyi Zhou 0001, Zijian Zhang 0009, Peng Yan, Bo Yang 0002. 4131-4142 [doi]
• Path-Specific Causal Reasoning for Fairness-aware Cognitive DiagnosisDacao Zhang, Kun Zhang 0015, Le Wu, Mi Tian, Richang Hong, Meng Wang 0001. 4143-4154 [doi]
• Brant-X: A Unified Physiological Signal Alignment FrameworkDaoze Zhang, Zhizhang Yuan, Junru Chen, Kerui Chen, Yang Yang 0009. 4155-4166 [doi]
• Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking PerspectiveHaotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang 0001. 4167-4178 [doi]
• Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box OptimizationHaozhen Zhang, Hualin Zhang, Bin Gu 0001, Yi Chang. 4179-4190 [doi]
• Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated LearningJiayuan Zhang, Xuefeng Liu 0001, Yukang Zhang, Guogang Zhu, Jianwei Niu 0002, Shaojie Tang 0001. 4191-4202 [doi]
• Natural Language Explainable Recommendation with Robustness EnhancementJingsen Zhang, Jiakai Tang, Xu Chen 0017, Wenhui Yu, Lantao Hu, Peng Jiang 0002, Han Li. 4203-4212 [doi]
• Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity RecognitionJunru Zhang, Lang Feng, Zhidan Liu, Yuhan Wu, Yang He, Yabo Dong, Duanqing Xu. 4213-4222 [doi]
• Heuristic Learning with Graph Neural Networks: A Unified Framework for Link PredictionJuzheng Zhang, Lanning Wei, Zhen Xu 0007, Quanming Yao. 4223-4231 [doi]
• Optimized Cost Per Click in Online Advertising: A Theoretical AnalysisKaichen Zhang, Zixuan Yuan, Hui Xiong 0001. 4232-4243 [doi]
• Asynchronous Vertical Federated Learning for Kernelized AUC MaximizationKe Zhang, Ganyu Wang, Han Li, Yulong Wang, Hong Chen, Bin Gu 0001. 4244-4255 [doi]
• Multivariate Log-based Anomaly Detection for Distributed DatabaseLingzhe Zhang, Tong Jia, Mengxi Jia, Ying Li, Yong Yang, Zhonghai Wu. 4256-4267 [doi]
• Logical Reasoning with Relation Network for Inductive Knowledge Graph CompletionQinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang 0001. 4268-4277 [doi]
• Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy TeacherRongzhi Zhang, Jiaming Shen, Tianqi Liu 0002, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang 0014. 4278-4289 [doi]
• Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph ModelingSiwei Zhang 0001, Xi Chen 0072, Yun Xiong, Xixi Wu, Yao Zhang 0009, Yongrui Fu, Yinglong Zhao, Jiawei Zhang 0001. 4290-4301 [doi]
• Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional NetworksWeijia Zhang 0003, Le Zhang 0010, Jindong Han, Hao Liu 0026, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong 0001. 4302-4313 [doi]
• A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and GeneralistWentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao 0001, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An 0001. 4314-4325 [doi]
• Topology-aware Embedding Memory for Continual Learning on Expanding NetworksXikun Zhang 0002, Dongjin Song, Yixin Chen 0001, Dacheng Tao. 4326-4337 [doi]
• Geometric View of Soft Decorrelation in Self-Supervised LearningYifei Zhang, Hao Zhu 0010, Zixing Song, Yankai Chen 0001, Xinyu Fu 0004, Ziqiao Meng, Piotr Koniusz, Irwin King. 4338-4349 [doi]
• LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?Zeyang Zhang, Xin Wang 0019, Ziwei Zhang, Haoyang Li 0001, Yijian Qin, Wenwu Zhu 0001. 4350-4361 [doi]
• Joint Auction in the Online Advertising MarketZhen Zhang, Weian Li, Yahui Lei, Bingzhe Wang, Zhicheng Zhang, Qi Qi, Qiang Liu, Xingxing Wang. 4362-4373 [doi]
• Representation Learning of Geometric TreesZheng Zhang, Allen Zhang 0005, Ruth Nelson, Giorgio Ascoli, Liang Zhao. 4374-4385 [doi]
• Rethinking Graph Backdoor Attacks: A Distribution-Preserving PerspectiveZhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang. 4386-4397 [doi]
• Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic ModelZhiwen Zhang, Zipei Fan, Zewu Lv, Xuan Song 0001, Ryosuke Shibasaki. 4398-4407 [doi]
• Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series DataZiyi Zhang, Shaogang Ren, Xiaoning Qian, Nick Duffield. 4408-4418 [doi]
• Algorithmic Fairness Generalization under Covariate and Dependence Shifts SimultaneouslyChen Zhao 0010, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen 0001. 4419-4430 [doi]
• VertiMRF: Differentially Private Vertical Federated Data SynthesisFangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li. 4431-4442 [doi]
• All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph PretrainingHaihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng 0001, Jia Li 0009. 4443-4454 [doi]
• Counteracting Duration Bias in Video Recommendation via Counterfactual Watch TimeHaiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu 0001, Ji-Rong Wen. 4455-4466 [doi]
• Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed GraphsHuanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang 0001. 4467-4478 [doi]
• Multi-source Unsupervised Domain Adaptation on Graphs with Transferability ModelingTianxiang Zhao, Dongsheng Luo, Xiang Zhang 0001, Suhang Wang. 4479-4489 [doi]
• Conformalized Link Prediction on Graph Neural NetworksTianyi Zhao, Jian Kang, Lu Cheng 0001. 4490-4499 [doi]
• GeoMix: Towards Geometry-Aware Data AugmentationWentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan. 4500-4511 [doi]
• Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data SharingXinbo Zhao, Yingxue Zhang 0002, Xin Zhang 0098, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo 0007. 4512-4523 [doi]
• Spuriousness-Aware Meta-Learning for Learning Robust ClassifiersGuangtao Zheng, Wenqian Ye, Aidong Zhang. 4524-4535 [doi]
• SiGeo: Sub-One-Shot NAS via Geometry of Loss LandscapeHua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang 0054, Wen-Yen Chen, Wei Wen. 4536-4547 [doi]
• Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics LearningZinan Zheng, Yang Liu 0165, Jia Li 0009, Jianhua Yao 0001, Yu Rong. 4548-4558 [doi]
• LogParser-LLM: Advancing Efficient Log Parsing with Large Language ModelsAoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen. 4559-4570 [doi]
• Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory PerspectiveLuying Zhong, Renjie Lin, Jiayin Li, Shiping Wang, Zheyi Chen. 4571-4582 [doi]
• BitLINK: Temporal Linkage of Address Clusters in Bitcoin BlockchainSheng Zhong, Abdullah Mueen. 4583-4594 [doi]
• Efficient and Effective Implicit Dynamic Graph Neural NetworkYongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari. 4595-4606 [doi]
• Synthesizing Multimodal Electronic Health Records via Predictive Diffusion ModelsYuan Zhong, Xiaochen Wang, Jiaqi Wang 0002, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma. 4607-4618 [doi]
• CURLS: Causal Rule Learning for Subgroups with Significant Treatment EffectJiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun 0001, Wei Chen. 4619-4630 [doi]
• Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language ModelsDidi Zhu, Zexi Li 0001, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu 0001. 4631-4640 [doi]
• Dynamic Hotel Pricing at Online Travel Platforms: A Popularity and Competitiveness Aware Demand Learning ApproachFanwei Zhu, Wendong Xiao, Yao Yu, Zemin Liu, Zulong Chen, Weibin Cai. 4641-4651 [doi]
• Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News DetectionJunyou Zhu, Chao Gao, Ze Yin, Xianghua Li, Jürgen Kurths. 4652-4663 [doi]
• Distributed Thresholded Counting with Limited InteractionXiaoyi Zhu, Yuxiang Tian, Zengfeng Huang. 4664-4675 [doi]
• ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion ModelYuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao 0001, Qidong Liu, Yongchao Ye, Wei Chen 0070, Zijian Zhang 0009, Xuetao Wei, Yuxuan Liang. 4676-4687 [doi]
• One Fits All: Learning Fair Graph Neural Networks for Various Sensitive AttributesYuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen 0001. 4688-4699 [doi]
• Topology-monitorable Contrastive Learning on Dynamic GraphsZulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo. 4700-4711 [doi]
• MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency TradingChuqiao Zong, Chaojie Wang 0001, Molei Qin, Lei Feng 0006, Xinrun Wang, Bo An 0001. 4712-4721 [doi]
• Repeat-Aware Neighbor Sampling for Dynamic Graph LearningTao Zou 0003, Yuhao Mao, Junchen Ye, Bowen Du 0001. 4722-4733 [doi]
• Lessons Learned while Running ML Models in Harsh EnvironmentsPedro Bizarro. 4734 [doi]
• Next-generation Intelligent Assistants for Wearable DevicesXin Luna Dong. 4735 [doi]
• Machine Learning for Clinical Management: From the Lab to the HospitalRicard Gavaldà. 4736 [doi]
• Scalable Graph Learning for your EnterpriseHema Raghavan. 4737-4738 [doi]
• Generative AI in E-Commerce: What Can We Expect?Haixun Wang. 4739-4740 [doi]
• Dynamic Pricing for Multi-Retailer Delivery Platforms with Additive Deep Learning and Evolutionary OptimizationAhmed Abdulaal, Ali Polat, Hari Narayan, Wenrong Zeng, Yimin Yi. 4741-4751 [doi]
• Television Discourse Decoded: Comprehensive Multimodal Analytics at ScaleAnmol Agarwal, Pratyush Priyadarshi, Shiven Sinha, Shrey Gupta, Hitkul Jangra, Ponnurangam Kumaraguru, Kiran Garimella. 4752-4763 [doi]
• DDCDR: A Disentangle-based Distillation Framework for Cross-Domain RecommendationZhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang 0012, Lihong Gu, Jinjie Gu. 4764-4773 [doi]
• GradCraft: Elevating Multi-task Recommendations through Holistic Gradient CraftingYimeng Bai, Yang Zhang 0072, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song 0008. 4774-4783 [doi]
• Large Scale Generative AI Text Applied to Sports and MusicAaron K. Baughman, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogério Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky. 4784-4792 [doi]
• LiGNN: Graph Neural Networks at LinkedInFedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng Du, Xiaochen Hou, Chengming Jiang, Nitin Pasumarthy, Priya Bannur, Birjodh Tiwana, Ping Liu, Siddharth Dangi, Daqi Sun, Zhoutao Pei, Xiao Shi, Sirou Zhu, Qianqi Shen, Kuang-Hsuan Lee, David Stein 0002, Baolei Li, Haichao Wei, Amol Ghoting, Souvik Ghosh. 4793-4803 [doi]
• LiRank: Industrial Large Scale Ranking Models at LinkedInFedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh. 4804-4815 [doi]
• CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity QuantificationLele Cao, Vilhelm von Ehrenheim, Mark Granroth-Wilding, Richard Anselmo Stahl, Andrew McCornack, Armin Catovic, Dhiana Deva Cavalcanti Rocha. 4816-4827 [doi]
• Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and OptimizationHaoye Chai, Tao Jiang, Li Yu. 4828-4838 [doi]
• Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-trainingHaonan Chen 0005, Zhicheng Dou, Xuetong Hao, Yunhao Tao, Shiren Song, Zhenli Sheng. 4839-4849 [doi]
• RareBench: Can LLMs Serve as Rare Diseases Specialists?Xuanzhong Chen, Xiaohao Mao, Qihan Guo, Lun Wang, Shuyang Zhang, Ting Chen. 4850-4861 [doi]
• MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer RechargeYuning Chen, Kang Yang, Zhiyu An, Brady Holder, Luke Paloutzian, Khaled M. Bali, Wan Du. 4862-4872 [doi]
• NudgeRank: Digital Algorithmic Nudging for Personalized HealthJodi Chiam, Aloysius Lim, Ankur Teredesai. 4873-4884 [doi]
• Metric Decomposition in A/B TestsAlex Deng, Luke Hagar, Nathaniel T. Stevens, Tatiana Xifara, Amit Gandhi. 4885-4895 [doi]
• MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour ExpansionJiaxin Deng, Shiyao Wang, Yuchen Wang, Jiansong Qi, Liqin Zhao, Guorui Zhou, Gaofeng Meng. 4896-4905 [doi]
• Time-Aware Attention-Based Transformer (TAAT) for Cloud Computing System Failure PredictionLingfei Deng, Yunong Wang, Haoran Wang, Xuhua Ma, Xiaoming Du, Xudong Zheng, Dongrui Wu. 4906-4917 [doi]
• FNSPID: A Comprehensive Financial News Dataset in Time SeriesZihan Dong, Xinyu Fan, Zhiyuan Peng. 4918-4927 [doi]
• Enhancing E-commerce Spelling Correction with Fine-Tuned Transformer ModelsArnab Dutta, Gleb Polushin, Xiaoshuang Zhang, Daniel Stein. 4928-4938 [doi]
• Achieving a Better Tradeoff in Multi-stage Recommender Systems through PersonalizationAriel Evnine, Stratis Ioannidis, Dimitris Kalimeris, Shankar Kalyanaraman, Weiwei Li 0006, Israel Nir, Wei Sun, Udi Weinsberg. 4939-4950 [doi]
• GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task AssistantsSophie Fischer, Carlos Gemmell, Niklas Tecklenburg, Iain Mackie, Federico Rossetto, Jeffrey Dalton 0001. 4951-4961 [doi]
• CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine LearningUlrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan. 4962-4973 [doi]
• Residual Multi-Task Learner for Applied RankingCong Fu, Kun Wang, Jiahua Wu, Yizhou Chen, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Zhiming Zhou. 4974-4985 [doi]
• Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential ModelYanjie Gou, Yuanzhou Yao, Zhao Zhang 0011, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu. 4986-4996 [doi]
• Transportation Marketplace Rate Forecast Using Signature TransformHaotian Gu, Xin Guo 0001, Timothy L. Jacobs, Philip M. Kaminsky, Xinyu Li. 4997-5005 [doi]
• LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk AssessmentYongfeng Gu, Yupeng Wu, Huakang Lu, Xingyu Lu, Hong Qian, Jun Zhou, Aimin Zhou. 5006-5017 [doi]
• Intelligent Agents with LLM-based Process AutomationYanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang 0001, Feiyue Ni, Ruihua Song, Chenyi Zhuang. 5018-5027 [doi]
• Multi-task Conditional Attention Network for Conversion Prediction in Logistics AdvertisingBaoshen Guo, Xining Song, Shuai Wang 0008, Wei Gong 0001, Tian He 0001, Xue Liu 0001. 5028-5037 [doi]
• Generative Auto-bidding via Conditional Diffusion ModelingJiayan Guo, Yusen Huo, Zhilin Zhang, Tianyu Wang, Chuan Yu, Jian Xu, Bo Zheng, Yan Zhang. 5038-5049 [doi]
• SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody HarmonizationStephen Hahn, Jerry Yin, Rico Zhu, Weihan Xu, Yue Jiang, Simon Mak, Cynthia Rudin. 5050-5060 [doi]
• Learning to Rank for Maps at AirbnbMalay Haldar, Hongwei Zhang, Kedar Bellare, Sherry Chen, Soumyadip Banerjee 0003, Xiaotang Wang, Mustafa Abdool, Huiji Gao, Pavan Tapadia, Liwei He, Sanjeev Katariya. 5061-5069 [doi]
• FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMsShanshan Han, Baturalp Buyukates, Zijian Hu 0001, Han Jin, Weizhao Jin, Lichao Sun 0001, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang 0039, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He 0001. 5070-5081 [doi]
• Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous GraphsJinquan Hang, Zhiqing Hong, Xinyue Feng, Guang Wang, Guang Yang, Feng Li, Xining Song, Desheng Zhang. 5082-5092 [doi]
• Rankability-enhanced Revenue Uplift Modeling Framework for Online MarketingBowei He, Yunpeng Weng, Xing Tang 0007, Ziqiang Cui, Zexu Sun, Liang Chen 0009, Xiuqiang He 0001, Chen Ma 0001. 5093-5104 [doi]
• Distributed Harmonization: Federated Clustered Batch Effect Adjustment and GeneralizationBao Hoang, Yijiang Pang, Siqi Liang 0001, Liang Zhan, Paul M. Thompson, Jiayu Zhou. 5105-5115 [doi]
• Cross-Domain LifeLong Sequential Modeling for Online Click-Through Rate PredictionRuijie Hou, Zhaoyang Yang, Ming Yu, Hongyu Lu, Zhuobin Zheng, Yu Chen, Qinsong Zeng, Ming Chen. 5116-5125 [doi]
• Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible GameplayHussain Jagirdar, Rukma Talwadker, Aditya Pareek, Pulkit Agrawal 0004, Tridib Mukherjee. 5126-5137 [doi]
• Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary InformationAishwarya Jayagopal, Hansheng Xue, Ziyang He, Robert J. Walsh, Krishna Kumar Hariprasannan, David Shao Peng Tan, Tuan Zea Tan, Jason J. Pitt, Anand D. Jeyasekharan, Vaibhav Rajan. 5138-5149 [doi]
• Learning to Bid the Interest Rate in Online Unsecured Personal LoansDong Jun Jee, Seung Jung Jin, Ji-Hoon Yoo, Byunggyu Ahn. 5150-5160 [doi]
• Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff EstimationPorter Jenkins, Michael Selander, J. Stockton Jenkins, Andrew Merrill, Kyle Armstrong. 5161-5171 [doi]
• Decomposed Attention Segment Recurrent Neural Network for Orbit PredictionSeungwon Jeong, Soyeon Woo, Daewon Chung, Simon S. Woo, Youjin Shin. 5172-5182 [doi]
• Learning Metrics that Maximise Power for Accelerated A/B-TestsOlivier Jeunen, Aleksei Ustimenko. 5183-5193 [doi]
• ERASE: Benchmarking Feature Selection Methods for Deep Recommender SystemsPengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao 0001, Yichao Wang 0001, Bo Chen 0023, Wanyu Wang, Huifeng Guo, Ruiming Tang. 5194-5205 [doi]
• Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion PredictionWenzhao Jiang, Jindong Han, Hao Liu 0026, Tao Tao, Naiqiang Tan, Hui Xiong 0001. 5206-5217 [doi]
• RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical ReasoningCongyun Jin, Ming Zhang, Weixiao Ma, Yujiao Li, Yingbo Wang, Yabo Jia, Yuliang Du, Tao Sun, Haowen Wang, Cong Fan, Jinjie Gu, Chenfei Chi, Xiangguo Lv, Fangzhou Li, Wei Xue, Yiran Huang. 5218-5229 [doi]
• Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating SparsityHarshavardhan Kamarthi, Aditya B. Sasanur, Xinjie Tong, Xingyu Zhou, James Peters, Joe Czyzyk, B. Aditya Prakash. 5230-5239 [doi]
• False Positives in A/B TestsRon Kohavi, Nanyu Chen. 5240-5250 [doi]
• Offline Reinforcement Learning for Optimizing Production Bidding PoliciesDmytro Korenkevych, Frank Cheng, Artsiom Balakir, Alex Nikulkov, Lingnan Gao, Zhihao Cen, Zuobing Xu, Zheqing Zhu. 5251-5259 [doi]
• FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated LearningWeirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou. 5260-5271 [doi]
• Know, Grow, and Protect Net Worth: Using ML for Asset Protection by Preventing Overdraft FeesAvishek Kumar, Tyson Silver. 5272-5282 [doi]
• Causal Machine Learning for Cost-Effective Allocation of Development AidMilan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel. 5283-5294 [doi]
• AutoWebGLM: A Large Language Model-based Web Navigating AgentHanyu Lai, Xiao Liu 0036, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang 0001. 5295-5306 [doi]
• Contextual Distillation Model for Diversified RecommendationFan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen. 5307-5316 [doi]
• Chromosomal Structural Abnormality Diagnosis by Homologous SimilarityJuren Li, Fanzhe Fu, Ran Wei, Yifei Sun, Zeyu Lai, Ning Song, Xin Chen, Yang Yang. 5317-5328 [doi]
• SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask LearningKaidi Li, Tianmeng Yang, Min Zhou 0006, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong. 5329-5338 [doi]
• Text Matching Indexers in Taobao SearchSen Li, FuYu Lv, Ruqing Zhang 0001, Dan Ou, Zhixuan Zhang, Maarten de Rijke. 5339-5350 [doi]
• UrbanGPT: Spatio-Temporal Large Language ModelsZhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu 0007, Lei Shi, Long Xia, Dawei Yin, Chao Huang 0001. 5351-5362 [doi]
• Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One AssignmentsYile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He. 5363-5374 [doi]
• An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield PredictionsFudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan 0001, Nian-Feng Tzeng. 5375-5386 [doi]
• Hyper-Local Deformable Transformers for Text Spotting on Historical MapsYijun Lin, Yao-Yi Chiang. 5387-5397 [doi]
• Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-CommerceZhe Lin, Jiwei Tan, Dan Ou, Xi Chen, Shaowei Yao, Bo Zheng. 5398-5408 [doi]
• Understanding the Ranking Loss for Recommendation with Sparse User FeedbackZhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang 0015. 5409-5418 [doi]
• Source Localization for Cross Network Information DiffusionChen Ling 0003, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao 0002. 5419-5429 [doi]
• MFTCoder: Boosting Code LLMs with Multitask Fine-TuningBingchang Liu, Chaoyu Chen, Zi Gong, Cong Liao, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Wei Jiang 0011, Hang Yu 0002, Jianguo Li. 5430-5441 [doi]
• Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and CalibrationChang Liu 0078, Qiwei Wang, Wenqing Lin, Yue Ding 0001, Hongtao Lu. 5442-5453 [doi]
• K-Free Community Detection on Attributed GraphsChang Liu 0078, Yuwen Yang, Yue Ding 0001, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi. 5454-5465 [doi]
• Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and AlgorithmLei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xiangguo Lv, Liya Ma, Zhiqiang Zhang 0012, Wei Xue, Yiran Huang, Jinjie Gu. 5466-5475 [doi]
• GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data SecurityXuanqing Liu, Runhui Wang, Yang Song, Luyang Kong. 5476-5486 [doi]
• EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective AnalysisZhiwei Liu, Kailai Yang, Qianqian Xie, Tianlin Zhang, Sophia Ananiadou. 5487-5496 [doi]
• Modeling User Retention through Generative Flow NetworksZiru Liu, Shuchang Liu 0006, Bin Yang, Zhenghai Xue, Qingpeng Cai 0001, Xiangyu Zhao 0001, Zijian Zhang 0009, Lantao Hu, Han Li, Peng Jiang 0002. 5497-5508 [doi]
• MISP: A Multimodal-based Intelligent Server Failure Prediction Model for Cloud Computing SystemsXianting Lu, Yunong Wang, Yu Fu, Qi Sun, Xuhua Ma, Xudong Zheng, Cheng Zhuo. 5509-5520 [doi]
• Integrating System State into Spatio Temporal Graph Neural Network for Microservice Workload PredictionYang Luo, Mohan Gao, Zhemeng Yu, Haoyuan Ge, Xiaofeng Gao 0001, Tengwei Cai, Guihai Chen. 5521-5531 [doi]
• FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power ForecastingZiqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun 0001, Rong Jin 0001. 5532-5543 [doi]
• EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked InputsNavid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi. 5544-5555 [doi]
• Valuing an Engagement Surface using a Large Scale Dynamic Causal ModelAbhimanyu Mukerji, Sushant More, Ashwin Viswanathan Kannan, Lakshmi Ravi, Hua Chen, Naman Kohli, Chris Khawand, Dinesh Mandalapu. 5556-5565 [doi]
• Ads Recommendation in a Collapsed and Entangled WorldJunwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang 0015. 5566-5577 [doi]
• Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal ImagesSukanya Patra, Nicolas Sournac, Souhaib Ben Taieb. 5578-5589 [doi]
• Spatio-Temporal Consistency Enhanced Differential Network for Interpretable Indoor Temperature PredictionDekang Qi, Xiuwen Yi, Chengjie Guo, Yanyong Huang, Junbo Zhang, Tianrui Li 0001, Yu Zheng 0004. 5590-5601 [doi]
• Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New BenchmarkXiaowei Qian, Zhimeng Guo, Jialiang Li 0003, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma 0001. 5602-5612 [doi]
• Class-incremental Learning for Time Series: Benchmark and EvaluationZhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang 0001, Savitha Ramasamy. 5613-5624 [doi]
• Non-autoregressive Generative Models for Reranking RecommendationYuxin Ren, Qiya Yang, Yichun Wu, Wei Xu, Yalong Wang, Zhiqiang Zhang. 5625-5634 [doi]
• Leveraging Exposure Networks for Detecting Fake News SourcesMaor Reuben, Lisa Friedland, Rami Puzis, Nir Grinberg. 5635-5646 [doi]
• Tackling Concept Shift in Text Classification using Entailment-style ModelingSumegh Roychowdhury, Karan Gupta, Siva Rajesh Kasa, Prasanna Srinivasa Murthy. 5647-5656 [doi]
• Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial SystemsYu Sha, Shuiping Gou, Bo Liu 0054, Johannes Faber, Ningtao Liu, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou. 5657-5668 [doi]
• Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement LearningAmit Sharma, Hua Li, Xue Li, Jian Jiao. 5669-5679 [doi]
• Measuring an LLM's Proficiency at using APIs: A Query Generation StrategyYing Sheng 0002, Sudeep Gandhe, Bhargav Kanagal, Nick Edmonds, Zachary Fisher, Sandeep Tata, Aarush Selvan. 5680-5689 [doi]
• Lumos: Empowering Multimodal LLMs with Scene Text RecognitionAshish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale, Vikas Bhardwaj, Di Xu, Shicong Zhao, Longfang Zhao, Ankit Ramchandani, Xin Luna Dong, Anuj Kumar. 5690-5700 [doi]
• From Variability to Stability: Advancing RecSys Benchmarking PracticesValeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey Savchenko, Alexey Zaytsev 0002. 5701-5712 [doi]
• Improving Ego-Cluster for Network Effect MeasurementWentao Su, Weitao Duan. 5713-5722 [doi]
• Multi-Task Neural Linear Bandit for Exploration in Recommender SystemsYi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen. 5723-5730 [doi]
• Spending Programmed Bidding: Privacy-friendly Bid Optimization with ROI Constraint in Online AdvertisingYumin Su, Min Xiang, Yifei Chen, Yanbiao Li, Tian Qin, Hongyi Zhang, Yasong Li, Xiaobing Liu. 5731-5740 [doi]
• MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph LearningYu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan. 5741-5751 [doi]
• PEMBOT: Pareto-Ensembled Multi-task Boosted TreesGokul Swamy, Anoop Saladi, Arunita Das, Shobhit Niranjan. 5752-5761 [doi]
• Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language ModelsXiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi 0001. 5762-5772 [doi]
• Beimingwu: A Learnware Dock SystemZhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu 0001, Zhi-Hua Zhou. 5773-5782 [doi]
• Multi-objective Learning to Rank by Model DistillationJie Tang 0008, Huiji Gao, Liwei He, Sanjeev Katariya. 5783-5792 [doi]
• Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDashYixin Tang, Yicong Lin, Navdeep S. Sahni. 5793-5802 [doi]
• Choosing a Proxy Metric from Past ExperimentsNilesh Tripuraneni, Lee Richardson, Alexander D'Amour, Jacopo Soriano, Steve Yadlowsky. 5803-5812 [doi]
• R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language ModelsShangqing Tu, Yuanchun Wang, Jifan Yu, Yuyang Xie, Yaran Shi, Xiaozhi Wang, Jing Zhang, Lei Hou 0001, Juanzi Li. 5813-5824 [doi]
• Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce BannersShanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan. 5825-5835 [doi]
• TnT-LLM: Text Mining at Scale with Large Language ModelsMengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan. 5836-5847 [doi]
• BacktrackSTL: Ultra-Fast Online Seasonal-Trend Decomposition with Backtrack TechniqueHaoyu Wang, Hongke Guo, Zhaoliang Zhu, You Zhang, Yu Zhou, Xudong Zheng. 5848-5859 [doi]
• Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMsJunjie Wang, Dan Yang, Binbin Hu, Yue Shen, Wen Zhang 0015, Jinjie Gu. 5860-5871 [doi]
• ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in AdvertisingRuize Wang, Hui Xu, Ying Cheng 0005, Qi He, Xing Zhou, Rui Feng, Wei Xu, Lei Huang, Jie Jiang. 5872-5881 [doi]
• LiMAML: Personalization of Deep Recommender Models via Meta LearningRuofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, S. Sathiya Keerthi, Ajith Muralidharan. 5882-5892 [doi]
• COMET: NFT Price Prediction with Wallet ProfilingTianfu Wang 0002, Liwei Deng, Chao Wang 0086, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang 0066, Hui Xiong 0001. 5893-5904 [doi]
• Future Impact Decomposition in Request-level RecommendationsXiaobei Wang, Shuchang Liu 0006, Xueliang Wang, Qingpeng Cai 0001, Lantao Hu, Han Li, Peng Jiang 0002, Kun Gai, Guangming Xie. 5905-5916 [doi]
• Mitigating Pooling Bias in E-commerce Search via False Negative EstimationXiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma. 5917-5925 [doi]
• AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User InterestXiaoyu Wang, Yonghui Guo, Hui Sheng, Peili Lv, Chi Zhou, Wei Huang, Shiqin Ta, Dongbo Huang, Xiujin Yang, Lan Xu, Hao Zhou, Yusheng Ji. 5926-5937 [doi]
• Neural Optimization with Adaptive Heuristics for Intelligent Marketing SystemChangshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T. Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Sathiya Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida. 5938-5949 [doi]
• Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation SystemsJianping Wei, Yujie Zhou, Zhengwei Wu, Ziqi Liu. 5950-5958 [doi]
• On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech ApplicationsChengyao Wen, Yin Lou. 5959-5968 [doi]
• Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on MarsAustin P. Wright, Scott Davidoff, Duen Horng Chau. 5969-5978 [doi]
• TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera RecordsDongen Wu, Ziquan Fang, Qichen Sun, Lu Chen 0001, HaiYang Hu, Fei Wang, Yunjun Gao. 5979-5990 [doi]
• LaDe: The First Comprehensive Last-mile Express Dataset from IndustryLiXia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan. 5991-6002 [doi]
• Xinyu: An Efficient LLM-based System for Commentary GenerationYiquan Wu, Bo Tang, Chenyang Xi, Yu Yu, Pengyu Wang, YiFei Liu, Kun Kuang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Jie Hu, Peng Cheng, Zhonghao Wang, Yi Wang, Yi Luo, Mingchuan Yang. 6003-6014 [doi]
• DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map GenerationDeguo Xia, Weiming Zhang, Xiyan Liu, Wei Zhang 0114, Chenting Gong, Jizhou Huang, Mengmeng Yang 0001, Diange Yang. 6015-6024 [doi]
• VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced DetectionFei Xiao, Shaofeng Cai, Gang Chen 0001, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang 0001. 6025-6036 [doi]
• Weather Knows What Will Occur: Urban Public Nuisance Events Prediction and Control with Meteorological AssistanceYi Xie 0003, Tianyu Qiu, Yun Xiong, Xiuqi Huang, Xiaofeng Gao 0001, Chao Chen 0004, Qiang Wang, Haihong Li. 6037-6048 [doi]
• Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent SpaceZhe Xie, Shenglin Zhang, Yitong Geng, Yao Zhang, Minghua Ma, Xiaohui Nie, Zhenhe Yao, Longlong Xu, Yongqian Sun, Wentao Li, Dan Pei. 6049-6060 [doi]
• Understanding the Weakness of Large Language Model Agents within a Complex Android EnvironmentMingzhe Xing, Rongkai Zhang 0005, Hui Xue 0004, Qi Chen 0009, Fan Yang 0024, Zhen Xiao. 6061-6072 [doi]
• XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning TechniquesYu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji-jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan. 6073-6082 [doi]
• Face4Rag: Factual Consistency Evaluation for Retrieval Augmented Generation in ChineseYunqi Xu, Tianchi Cai, Jiyan Jiang, Xierui Song. 6083-6094 [doi]
• Trinity: Syncretizing Multi-/Long-Tail/Long-Term Interests All in OneJing Yan, Liu Jiang, Jianfei Cui, Zhichen Zhao, Xingyan Bin, Feng Zhang, Zuotao Liu. 6095-6104 [doi]
• FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic PredictionLinghua Yang, Wantong Chen, Xiaoxi He, Shuyue Wei, Yi Xu, Zimu Zhou, Yongxin Tong. 6105-6116 [doi]
• Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online AdvertisingShuai Yang, Hao Yang, Zhuang Zou, Linhe Xu, Shuo Yuan, Yifan Zeng. 6117-6126 [doi]
• Enhancing Asymmetric Web Search through Question-Answer Generation and RankingDezhi Ye, Jie Liu, Jiabin Fan, Bowen Tian, Tianhua Zhou, Xiang Chen, Jin Ma. 6127-6136 [doi]
• OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated LearningRui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen. 6137-6147 [doi]
• PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral OptimizationYuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong 0001. 6148-6157 [doi]
• SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active SensingChangchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang 0016. 6158-6168 [doi]
• Unified Low-rank Compression Framework for Click-through Rate PredictionHao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu 0001. 6169-6180 [doi]
• Unsupervised Ranking Ensemble Model for RecommendationWenhui Yu, Bingqi Liu, Bin Xia, Xiaoxiao Xu, Ying Chen, Yongchang Li, Lantao Hu. 6181-6189 [doi]
• Pre-trained KPI Anomaly Detection Model Through Disentangled TransformerZhaoyang Yu, Changhua Pei, Xin Wang 0001, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang 0001, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei. 6190-6201 [doi]
• An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management SystemsTaeyoung Yun, Kanghoon Lee, Sujin Yun, Ilmyung Kim, Won-Woo Jung, Min-Cheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park. 6202-6213 [doi]
• OAG-Bench: A Human-Curated Benchmark for Academic Graph MiningFanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen 0026, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang 0001. 6214-6225 [doi]
• A Self-boosted Framework for Calibrated RankingShunyu Zhang, Hu Liu, Wentian Bao, Enyun Yu, Yang Song. 6226-6235 [doi]
• Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and EnglishXiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Meikang Qiu, Sophia Ananiadou, Min Peng 0002, Jimin Huang, Qianqian Xie. 6236-6246 [doi]
• Temporal Uplift Modeling for Online MarketingXin Zhang, Kai Wang, Zengmao Wang, Bo Du, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan. 6247-6256 [doi]
• Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional NetworksYijie Zhang, Yuanchen Bei, Hao Chen 0062, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang 0001. 6257-6268 [doi]
• Large Language Model with Curriculum Reasoning for Visual Concept RecognitionYipeng Zhang 0003, Xin Wang 0019, Hong Chen, Jiapei Fan, Weigao Wen, Hui Xue 0004, Hong Mei 0001, Wenwu Zhu 0001. 6269-6280 [doi]
• Optimizing Smartphone App Usage Prediction: A Click-Through Rate Ranking ApproachYuqi Zhang, Meiying Kang, Xiucheng Li, Yu Qiu, Zhijun Li 0002. 6281-6290 [doi]
• Unified Dual-Intent Translation for Joint Modeling of Search and RecommendationYuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun 0006, Yongchun Zhu, Xiang Li 0067, Wei Lin 0022, Fuzhen Zhuang, Zhulin An, Yongjun Xu. 6291-6300 [doi]
• GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver SelectionZhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang 0001, Jianye Hao, Mark Coates, Mingxuan Yuan. 6301-6311 [doi]
• Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary PatternsZheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye 0001. 6312-6323 [doi]
• TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR DataZiyang Zhang, Hejie Cui, Ran Xu, Yuzhang Xie, Joyce C. Ho, Carl Yang 0001. 6324-6334 [doi]
• DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D ImputationQilong Zhao, Yifei Zhang 0006, Mengdan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang 0005, Liang Zhao 0002. 6335-6343 [doi]
• Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation AccuracyYao Zhao, Zhitian Xie, Chen Liang, Chenyi Zhuang, Jinjie Gu. 6344-6355 [doi]
• GraphStorm: All-in-one Graph Machine Learning Framework for Industry ApplicationsDa Zheng, Xiang Song 0003, Qi Zhu 0008, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis. 6356-6367 [doi]
• Decision Focused Causal Learning for Direct Counterfactual Marketing OptimizationHao Zhou, Rongxiao Huang, Shaoming Li, Guibin Jiang, Jiaqi Zheng 0001, Bing Cheng, Wei Lin. 6368-6379 [doi]
• STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled ExperimentsHao Zhou, Kun Sun, Shaoming Li, Yangfeng Fan, Guibin Jiang, Jiaqi Zheng 0001, Tao Li. 6380-6389 [doi]
• Bringing Multimodality to Amazon Visual Search SystemXinliang Zhu, Sheng-Wei Huang, Han Ding 0001, Jinyu Yang, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Z. Yao, Douglas Gray 0001, Anuj Bindal, Arnab Dhua. 6390-6399 [doi]
• Inductive Modeling for Realtime Cold Start RecommendationsChandler Zuo, Jonathan Castaldo, Hanqing Zhu, Haoyu Zhang, Ji Liu, Yangpeng Ou, Xiao Kong. 6400-6409 [doi]
• A Hands-on Introduction to Time Series Classification and RegressionAnthony J. Bagnall, Matthew Middlehurst, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume, David Guijo-Rubio, Chang Wei Tan, Angus Dempster, Geoffrey I. Webb. 6410-6411 [doi]
• A Tutorial on Multi-Armed Bandit Applications for Large Language ModelsDjallel Bouneffouf 0001, Raphaël Féraud. 6412-6413 [doi]
• Multi-modal Data Processing for Foundation Models: Practical Guidances and Use CasesDaoyuan Chen, Yaliang Li, Bolin Ding. 6414-6415 [doi]
• Domain-Driven LLM Development: Insights into RAG and Fine-Tuning PracticesJosé Cassio dos Santos Junior, Rachel Hu, Richard Song, Yunfei Bai. 6416-6417 [doi]
• Practical Machine Learning for Streaming DataHeitor Murilo Gomes, Albert Bifet. 6418-6419 [doi]
• DARE to Diversify: DAta Driven and Diverse LLM REd TeamingManish Nagireddy, Bernat Guillen Pegueroles, Ioana Baldini. 6420-6421 [doi]
• Privacy-Preserving Federated Learning using Flower FrameworkMohammad Naseri, Javier Fernández-Marqués, Yan Gao, Heng Pan. 6422-6423 [doi]
• Graph Reasoning with LLMs (GReaL)Anton Tsitsulin, Bryan Perozzi, Bahare Fatemi, Jonathan J. Halcrow. 6424-6425 [doi]
• Breaking Barriers: A Hands-On Tutorial on AI-Enabled Accessibility to Social Media ContentJulio Villena, Rosa Català, Janine García, Concepción Polo, Yessika Labrador, Francisco del-Valle, Bhargav Ayyagari. 6426-6427 [doi]
• Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated TextSara Abdali, Richard Anarfi, C. J. Barberan, Jia He. 6428-6436 [doi]
• Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM EraSunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu. 6437-6447 [doi]
• A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano. 6448-6458 [doi]
• Advances in Human Event Modeling: From Graph Neural Networks to Language ModelsSonggaojun Deng, Maarten de Rijke, Yue Ning 0001. 6459-6469 [doi]
• Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine LearningMichal Derezinski, Michael W. Mahoney. 6470-6479 [doi]
• Reasoning and Planning with Large Language Models in Code DevelopmentHao Ding 0003, Ziwei Fan, Ingo Gühring, Gaurav Gupta, Wooseok Ha, Jun Huan, Linbo Liu, Behrooz Omidvar Tehrani, Shiqi Wang 0002, Hao Zhou. 6480-6490 [doi]
• A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsWenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li 0001. 6491-6501 [doi]
• Graph Machine Learning Meets Multi-Table Relational DataQuan Gan, Minjie Wang, David Wipf, Christos Faloutsos. 6502-6512 [doi]
• Sharing is Caring: A Practical Guide to FAIR(ER) Open Data ReleaseAmelia Henriksen, Miranda Mundt. 6513-6522 [doi]
• Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly. 6523-6533 [doi]
• A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step GuideSunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin. 6534-6544 [doi]
• Graph Intelligence with Large Language Models and Prompt LearningJia Li 0009, Xiangguo Sun, Yuhan Li 0001, Zhixun Li, Hong Cheng 0001, Jeffrey Xu Yu. 6545-6554 [doi]
• Foundation Models for Time Series Analysis: A Tutorial and SurveyYuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin 0005, Dongjin Song, Shirui Pan, Qingsong Wen. 6555-6565 [doi]
• Multimodal Pretraining, Adaptation, and Generation for Recommendation: A SurveyQijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu 0003, Zhou Zhao, Rui Zhang, Zhenhua Dong. 6566-6576 [doi]
• A Review of Graph Neural Networks in Epidemic ModelingZewen Liu 0005, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin 0009. 6577-6587 [doi]
• Symbolic Regression: A Pathway to Interpretability Towards Automated Scientific DiscoveryNour Makke, Sanjay Chawla. 6588-6596 [doi]
• Explainable Artificial Intelligence on Biosignals for Clinical Decision SupportMiriam Cindy Maurer, Jacqueline Michelle Metsch, Philip Hempel, Theresa Bender, Nicolai Spicher, Anne-Christin Hauschild. 6597-6604 [doi]
• Inference Optimization of Foundation Models on AI AcceleratorsYoungsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang 0003, George Karypis. 6605-6615 [doi]
• A Survey of Large Language Models for GraphsXubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang 0001. 6616-6626 [doi]
• Systems for Scalable Graph Analytics and Machine Learning: Trends and MethodsDa Yan 0001, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng. 6627-6632 [doi]
• Urban Foundation Models: A SurveyWeijia Zhang 0003, Jindong Han, Zhao Xu, Hang Ni, Hao Liu 0026, Hui Xiong 0001. 6633-6643 [doi]
• Automated Mining of Structured Knowledge from Text in the Era of Large Language ModelsYunyi Zhang 0001, Ming Zhong 0005, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han 0001. 6644-6654 [doi]
• A Survey on Safe Multi-Modal Learning SystemsTianyi Zhao, LiangLiang Zhang, Yao Ma 0001, Lu Cheng 0001. 6655-6665 [doi]
• Heterogeneous Contrastive Learning for Foundation Models and BeyondLecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He. 6666-6676 [doi]
• Causal Inference with Latent Variables: Recent Advances and Future ProspectivesYaochen Zhu, Yinhan He, Jing Ma 0002, Mengxuan Hu, Sheng Li, Jundong Li. 6677-6687 [doi]
• Responsible AI DayRicardo Baeza-Yates, Nataly Buslón. 6688 [doi]
• Equity, Diversity & Inclusion (EDI): Special Day at ACM KDD 2024Tania Cerquitelli, Amin Mantrach. 6689-6690 [doi]
• Health Day: Building Health AI Ecosystem: From Data Harmonization to Knowledge DiscoveryJake Chen, Peipei Ping. 6691-6692 [doi]
• Overview of ACM SIGKDD 2024 AI4Science4AI Special DayWei Ding, Gustau Camps-Valls. 6693-6694 [doi]
• KDD 2024 Special Day - AI for EnvironmentKarina Gibert, Wee Hyong Tok, Miquel Sànchez-Marrè. 6695-6696 [doi]
• European Data Science Day: KDD-2024 Special DayDunja Mladenic, Dumitru Roman. 6697-6698 [doi]
• Generative AI DayJie Tang 0001, Yuxiao Dong, Michalis Vazirgiannis. 6699-6700 [doi]
• KDD 2024 Finance DayGuiling Wang, Daniel Borrajo. 6701-6702 [doi]
• Machine Learning in FinanceLeman Akoglu, Nitesh V. Chawla, Josep Domingo-Ferrer, Eren Kurshan, Senthil Kumar, Vidyut M. Naware, José A. Rodríguez-Serrano, Isha Chaturvedi, Saurabh Nagrecha, Mahashweta Das, Tanveer A. Faruquie. 6703 [doi]
• Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)Mehwish Alam, Davide Buscaldi, Michael Cochez, Genet Asefa Gesese, Francesco Osborne, Diego Reforgiato Recupero. 6704-6705 [doi]
• AdKDD 2024Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan. 6706-6707 [doi]
• Workshop on Human-Interpretable AIGabriele Ciravegna, Mateo Espinosa Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli. 6708-6709 [doi]
• Fragile Earth: Generative and Foundational Models for Sustainable DevelopmentEmre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao. 6710-6711 [doi]
• (Towards Consistent, Reliable, Explainable, and Safe LLMs)Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy 0001. 6712-6713 [doi]
• The Third Workshop on Applied Machine Learning ManagementDmitri Goldenberg, Shir Meir Lador, Elena Sokolova, Lin Lee Cheong, Mohak Sukhwani, Saloni Potdar. 6714-6715 [doi]
• TSMO 2024: Two-sided Marketplace OptimizationMihajlo Grbovic, Vladan Radosavljevic, Minmin Chen, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Amit Goyal, Fabrizio Silvestri. 6716-6717 [doi]
• FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph AnalyticsJunyuan Hong, Carl Yang 0001, Zhuangdi Zhu, Zheng Xu 0002, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou. 6718-6719 [doi]
• Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric HealthcareShenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang. 6720-6721 [doi]
• The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24)Zhe Jiang 0001, Liang Zhao 0002, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye. 6722-6723 [doi]
• The First Workshop on AI Behavioral ScienceHimabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang 0001, Yutong Xie. 6724-6725 [doi]
• 2nd Workshop on Causal Inference and Machine Learning in PracticeJeong-Yoon Lee, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson. 6726 [doi]
• The 13th International Workshop on Urban ComputingYuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng 0004, Jieping Ye, Qiang Yang 0001, Philip S. Yu, Ouri Wolfson. 6727-6728 [doi]
• KDD workshop on Evaluation and Trustworthiness of Generative AI ModelsYuan Ling, Shujing Dong, Yarong Feng, Zongyi Joe Liu, George Karypis, Chandan K. Reddy. 6729-6730 [doi]
• Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA)Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti, Ananya Joshi, Giovanni Stilo. 6731-6732 [doi]
• The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMsSanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen 0001, Stefan Zohren, Yuriy Nevmyvaka. 6733-6734 [doi]
• epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge DiscoveryAlexander Rodríguez, Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Marie-Laure Charpignon, Kai Wang, Serina Chang, Anil Vullikanti, B. Aditya Prakash. 6735-6736 [doi]
• First Workshop on Generative AI for Recommender Systems and PersonalizationNarges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis. 6737-6738 [doi]
• The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI InnovationsAnkur Teredesai, Michael Zeller, Mohak Shah, Shenghua Bao, Wee Hyong Tok, Linsey Pang. 6739-6740 [doi]
• th Workshop on Artificial Intelligence-enabled Cybersecurity AnalyticsSteven Ullman, Benjamin M. Ampel, Sagar Samtani, Shanchieh Yang, Hsinchun Chen. 6741-6742 [doi]
• AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive LearningQingsong Wen, Jing Liang 0008, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu 0001, Peng Cui, Jiliang Tang. 6743-6744 [doi]
• NL2Code-Reasoning and Planning with LLMs for Code DevelopmentYe Xing, Jun Huan, Wee Hyong Tok, Cong Shen 0001, Johannes Gehrke, Katherine Lin, Arjun Guha, Omer Tripp, Murali Krishna Ramanathan. 6745-6746 [doi]
• rd International Workshop on Data Mining in Bioinformatics (BIOKDD 2024)Da Yan 0001, Ahmed Abdeen Hamed, Jake Y. Chen, Mohammed J. Zaki. 6747-6748 [doi]
• RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge DiscoveryChuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu 0001. 6749-6750 [doi]
• 3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI)Chen Zhao 0010, Feng Chen 0001, Xintao Wu, Jundong Li, Haifeng Chen. 6751-6752 [doi]
• 3rd Workshop on End-End Customer Journey OptimizationShadow Zhao, Mert Bay, Anbang Xu, Neha Gupta. 6753-6754 [doi]
• 3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM)Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen. 6755-6756 [doi]
• The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24)Feida Zhu 0001, Jian Pei, Michael Zeller, Bingxue Zhang. 6757-6758 [doi]
• The 5th International Workshop on Talent and Management Computing (TMC'2024)Hengshu Zhu, Yong Ge, Hui Xiong 0001, Ee-Peng Lim. 6759-6760 [doi]