Table of Contents

• ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual RestorationMengting Ai, Tianxin Wei, Yifan Chen 0004, Zhichen Zeng 0001, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He. 1-12 [doi]
• Hypergraph Motif Representation LearningAlessia Antelmi, Gennaro Cordasco, Daniele De Vinco, Valerio Di Pasquale, Mirko Polato, Carmine Spagnuolo. 13-24 [doi]
• Chainlet Orbits: Topological Address Embedding for BlockchainPoupak Azad, Baris Coskunuzer, Murat Kantarcioglu, Cuneyt Gurcan Akcora. 25-36 [doi]
• Correlation-Aware Graph Convolutional Networks for Multi-Label Node ClassificationYuanchen Bei, Weizhi Chen, Hao Chen 0062, Sheng Zhou 0004, Carl Ji Yang, Jiapei Fan, Longtao Huang, Jiajun Bu. 37-48 [doi]
• Fast and Effective GNN Training through Sequences of Random Path GraphsFrancesco Bonchi, Claudio Gentile, Francesco Paolo Nerini, André Panisson, Fabio Vitale. 49-60 [doi]
• How to use Graph Data in the Wild to Help Graph Anomaly Detection?Yuxuan Cao, Jiarong Xu, Chen Zhao, Jiaan Wang, Carl Ji Yang, Chunping Wang 0001, Yang Yang 0009. 61-72 [doi]
• Safe Online Bid Optimization with Return on Investment and Budget ConstraintsMatteo Castiglioni, Alessandro Nuara, Giulia Romano, Giorgio Spadaro, Francesco Trovò, Nicola Gatti 0001. 73-81 [doi]
• Probabilistic Hypergraph Recurrent Neural Networks for Time-series ForecastingHongjie Chen 0003, Ryan A. Rossi, SungChul Kim, Kanak Mahadik, Hoda Eldardiry. 82-93 [doi]
• NodeImport: Imbalanced Node Classification with Node Importance AssessmentNan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Jun Hu 0016, Jia Chen. 94-105 [doi]
• Advancing Confidence Calibration and Quantification in Medication RecommendationQianyu Chen, Xin Li, Yujie Fang, Mingzhong Wang. 106-117 [doi]
• Locally Balancing Signed GraphsWeizhe Chen, Wentao Li 0001, Min Gao 0001, Dong Wen 0001, Maolin Cai, Wei Wang 0011. 118-129 [doi]
• Scalable Link Recommendation for Influence MaximizationXiaolong Chen, Jing Tang. 130-141 [doi]
• Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality GenerationZhangtao Cheng, Jian Lang, Ting Zhong, Fan Zhou 0002. 142-152 [doi]
• Modeling Time-evolving Causality over Data StreamsNaoki Chihara, Yasuko Matsubara, Ren Fujiwara, Yasushi Sakurai. 153-164 [doi]
• CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold PoliciesBrian Cho 0001, Ana-Roxana Pop, Kyra Gan, Sam Corbett-Davies, Israel Nir, Ariel Evnine, Nathan Kallus. 165-176 [doi]
• Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional MethodGuanyu Cui, Hanzhi Wang 0001, Zhewei Wei. 177-188 [doi]
• Fair Set CoverMohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos, Abolfazl Asudeh. 189-200 [doi]
• Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond DatasaurusBangchao Deng, Xin Jing, Tianyue Yang, Bingqing Qu, Dingqi Yang, Philippe Cudré-Mauroux. 201-212 [doi]
• Large-Scale Spectral Graph Neural Networks via Laplacian SparsificationHaipeng Ding 0002, Zhewei Wei, Yuhang Ye 0002. 213-223 [doi]
• Personalized Language Model Learning on Text Data Without User IdentifiersYucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou 0016, Ning Liu, Fan Wu 0011, Guihai Chen. 224-235 [doi]
• Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMsJunhao Dong, Piotr Koniusz, Xinghua Qu, Yew-Soon Ong. 236-247 [doi]
• Conditional Generative Modeling for High-dimensional Marked Temporal Point ProcessesZheng Dong 0005, Zekai Fan, Shixiang Zhu. 248-259 [doi]
• Bi-Dynamic Graph ODE for Opinion EvolutionBowen Duan, Henggang Deng, Jinghua Piao, Huandong Wang, Yue Wang 0007. 260-270 [doi]
• k-Trine Cohesive Subgraph and Its Efficient AlgorithmsJinyu Duan, Haicheng Guo, Fan Zhang 0036, Kai Wang 0037, Zhengping Qian, Zhihong Tian. 271-282 [doi]
• Dynamic Localisation of Spatial-Temporal Graph Neural NetworkWenying Duan, Shujun Guo, Zimu Zhou, Wei Huang, Hong Rao, Xiaoxi He. 283-294 [doi]
• IN-Flow: Instance Normalization Flow for Non-stationary Time Series ForecastingWei Fan 0010, Shun Zheng, Pengyang Wang, Rui Xie 0002, Kun Yi 0001, Qi Zhang 0020, Jiang Bian 0002, Yanjie Fu. 295-306 [doi]
• Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management PerspectiveYuchen Fang 0001, Yuxuan Liang, Bo Hui 0001, Zezhi Shao, Liwei Deng 0001, Xu Liu, Xinke Jiang, Kai Zheng 0001. 307-317 [doi]
• Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device RecommendationKairui Fu, Zheqi Lv, Shengyu Zhang 0001, Fan Wu, Kun Kuang. 318-329 [doi]
• FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose GenerationKaiyuan Gao, Qizhi Pei, Gongbo Zhang, Jinhua Zhu 0001, Kun He 0001, Lijun Wu 0003. 330-341 [doi]
• Wedjat: Detecting Sophisticated Evasion Attacks via Real-time Causal AnalysisLi Gao, Chuanpu Fu, Xinhao Deng, Ke Xu 0002, Qi Li 0002. 342-353 [doi]
• Denoising Programming Knowledge Tracing with a Code Graph-based Tuning AdaptorWeibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yue, Fangzhou Yao, Zheng Zhang. 354-365 [doi]
• Detecting Interpretable Subgroup DriftsFlavio Giobergia, Eliana Pastor, Luca de Alfaro, Elena Baralis. 366-377 [doi]
• Benchmarking Fraud Detectors on Private Graph DataAlexander Goldberg, Giulia Fanti, Nihar B. Shah, Steven Wu 0001. 378-389 [doi]
• Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time AdaptationPeiliang Gong, Mohamed Ragab 0002, Min Wu 0008, Zhenghua Chen, Yongyi Su, Xiaoli Li 0001, Daoqiang Zhang. 390-401 [doi]
• Revisiting Cognition in Neural Cognitive DiagnosisHengnian Gu, Guoqian Luo, Xiaoxiao Dong, Shulin Li, Dongdai Zhou. 402-412 [doi]
• Adaptive Domain Inference Attack with Concept HierarchyYuechun Gu, Jiajie He, Keke Chen. 413-424 [doi]
• Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category PreferencesGwangseok Han, Wonbin Kweon, Minsoo Kim, Hwanjo Yu. 425-435 [doi]
• Lorentzian Residual Neural NetworksNeil He, Menglin Yang 0001, Rex Ying. 436-447 [doi]
• UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed GraphsYufei He, Yuan Sui, Xiaoxin He, Bryan Hooi. 448-459 [doi]
• D-Tracker: Modeling Interest Diffusion in Social Activity Tensor Data StreamsShingo Higashiguchi, Yasuko Matsubara, Koki Kawabata, Taichi Murayama, Yasushi Sakurai. 460-471 [doi]
• InvDiff: Invariant Guidance for Bias Mitigation in Diffusion ModelsMin Hou, Yueying Wu 0004, Chang Xu 0008, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian 0002. 472-483 [doi]
• TransPlace: Transferable Circuit Global Placement via Graph Neural NetworkYunbo Hou, Haoran Ye, Shuwen Yang, Yingxue Zhang 0001, Siyuan Xu, Guojie Song. 484-495 [doi]
• AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task GenerationMengkang Hu, Pu Zhao 0004, Can Xu, Qingfeng Sun, Jian-Guang Lou, Qingwei Lin, Ping Luo 0002, Saravan Rajmohan. 496-507 [doi]
• Multi-level Matching Network for Multimodal Entity LinkingZhiwei Hu, Víctor Gutiérrez-Basulto, Ru Li 0001, Jeff Z. Pan. 508-519 [doi]
• DIPS: Optimal Dynamic Index for Poisson πps SamplingJinchao Huang, Sibo Wang 0001. 520-531 [doi]
• Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk ContrastingLi Huang 0002, Yanzhe Xie, Qiang Gao 0003, Kunpeng Zhang 0001, Guisong Liu, Xueqin Chen 0002. 532-543 [doi]
• Path Complex Neural Networks for Sequential Process Activities ClassificationLiang Huang, Kelin Xia, Chuan-Shen Hu. 544-554 [doi]
• On the Hyperparameter Loss Landscapes of Machine Learning Models: An Exploratory StudyMingyu Huang, Ke Li. 555-564 [doi]
• Partial Pre-Post Code Tree: A Memory-Efficient Tree Structure for Conjunctive Rule MiningVan Quoc Phuong Huynh, Florian Beck, Johannes Fürnkranz. 565-576 [doi]
• Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic PredictionJiahao Ji, Wentao Zhang, Jingyuan Wang 0001, Chao Huang 0001. 577-588 [doi]
• PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline ParallelismWenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang 0001, Tim Kraska. 589-600 [doi]
• Why Not Together? A Multiple-Round Recommender System for Queries and ItemsJiarui Jin, Xianyu Chen, Weinan Zhang 0001, Yong Yu 0001, Jun Wang 0012. 601-612 [doi]
• On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and ApplicationsHyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park 0001, Kijung Shin. 613-624 [doi]
• Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning ProblemOleg Kachan, Andrey V. Savchenko, Gleb Gusev. 625-635 [doi]
• LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt TuningFanshuang Kong, Richong Zhang, Ziqiao Wang. 636-646 [doi]
• CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary RelationshipYeon-Chang Lee, JaeHyun Lee, Michiharu Yamashita, Dongwon Lee 0001, Sang-Wook Kim. 647-658 [doi]
• Reasoning-Enhanced Object-Centric Learning for VideosJian Li, Pu Ren, Yang Liu, Hao Sun 0002. 659-670 [doi]
• TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly DetectionMengxuan Li 0003, Ke Liu 0013, Hongyang Chen, Jiajun Bu, Hongwei Wang 0001, Haishuai Wang. 671-682 [doi]
• Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement LearningQi Li, Zhiguang Cao, Yining Ma 0001, Yaoxin Wu, Yue-jiao Gong. 683-694 [doi]
• MGS3: A Multi-Granularity Self-Supervised Code Search FrameworkRui Li 0093, Junfeng Kang, Qi Liu 0003, Liyang He, Zheng Zhang 0048, Yunhao Sha, Linbo Zhu, Zhenya Huang. 695-706 [doi]
• TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman ModelWeixian Waylon Li, Yftah Ziser, Yifei Xie, Shay B. Cohen, Tiejun Ma. 707-718 [doi]
• Exploring Preference-Guided Diffusion Model for Cross-Domain RecommendationXiaodong Li 0012, Hengzhu Tang, Jiawei Sheng, Xinghua Zhang 0001, Li Gao, Suqi Cheng, Dawei Yin, Tingwen Liu. 719-728 [doi]
• Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary GeometriesZhihao Li 0004, Haoze Song, Di Xiao, Zhilu Lai, Wei Wang. 729-740 [doi]
• 2: Adaptive and Extreme Summarization for Personalized Knowledge GraphsZihao Li, Dongqi Fu, Mengting Ai, Jingrui He. 741-752 [doi]
• DistPred: A Distribution-Free Probabilistic Inference Method for Regression and ForecastingDaojun Liang. 753-764 [doi]
• Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical PredictionWeibin Liao, Yinghao Zhu, Zhongji Zhang, Yuhang Wang, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma. 765-776 [doi]
• Stealing Training Graphs from Graph Neural NetworksMinhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang 0001, Suhang Wang. 777-788 [doi]
• Spectral Subspace Clustering for Attributed GraphsXiaoyang Lin, Renchi Yang, Haoran Zheng, Xiangyu Ke. 789-799 [doi]
• Learning Attribute as Explicit Relation for Sequential RecommendationGang Liu, Fan Yang, Yang Jiao, Alireza Bagheri Garakani, Tian Tong, Yan Gao, Meng Jiang. 800-811 [doi]
• SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language ModelsHan Liu 0008, Haotian Gao, Xiaotong Zhang 0003, Changya Li, Feng Zhang 0027, Wei Wang 0077, Fenglong Ma, Hong Yu 0005. 812-823 [doi]
• SCode: A Spherical Code Metric Learning Approach to Continuously Monitoring Predictive Events in Networked DataQu Liu, Emil Zulawnik, Tingjian Ge. 824-835 [doi]
• Language Representation Favored Zero-Shot Cross-Domain Cognitive DiagnosisShuo Liu, Zihan Zhou, Yuanhao Liu, Jing Zhang, Hong Qian. 836-847 [doi]
• Fine-tuning Multimodal Large Language Models for Product BundlingXiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua. 848-858 [doi]
• 3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical PriorsXufeng Liu, Dongsheng Luo, Wenhan Gao, Yi Liu. 859-870 [doi]
• Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal TransportYonghao Liu 0001, Fausto Giunchiglia, Ximing Li 0002, Lan Huang 0002, Xiaoyue Feng, Renchu Guan. 871-882 [doi]
• MobileSteward: Integrating Multiple App-Oriented Agents with Self-Evolution to Automate Cross-App InstructionsYuxuan Liu 0009, Hongda Sun 0001, Wei Liu 0005, Jian Luan 0001, Bo Du 0001, Rui Yan 0001. 883-893 [doi]
• A Universal Model for Human Mobility PredictionQingyue Long, Yuan Yuan, Yong Li. 894-905 [doi]
• Future Matters for Present: Towards Effective Physical Simulation over MeshesXiao Luo 0001, Junyu Luo 0002, HuiYu Jiang, Hang Zhou 0008, Zhiping Xiao 0001, Wei Ju, Carl Ji Yang, Ming Zhang 0004, Yizhou Sun. 906-917 [doi]
• Fairness without Demographics through Learning Graph of GradientsYingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu. 918-926 [doi]
• Online Item Cold-Start Recommendation with Popularity-Aware Meta-LearningYunze Luo, Yuezihan Jiang, Yinjie Jiang, Gaode Chen, Jingchi Wang, Kaigui Bian, Peiyi Li 0008, Qi Zhang 0010. 927-937 [doi]
• Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric MixturesZhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila. 938-949 [doi]
• Towards Controllable Hybrid Fairness in Graph Neural NetworksZihan Luo 0001, Hong Huang 0001, Jianxun Lian, Xiran Song, Hai Jin 0001. 950-961 [doi]
• Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud RecommendationZheqi Lv, Tianyu Zhan, Wenjie Wang 0007, Xinyu Lin 0001, Shengyu Zhang 0001, Wenqiao Zhang, Jiwei Li 0001, Kun Kuang, Fei Wu 0001. 962-973 [doi]
• Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionJunliang Lyu, Yixuan Zhang, Xiaoling Lu, Feng Zhou. 974-984 [doi]
• AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal ForecastingTengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu. 985-996 [doi]
• Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive TestingHaiping Ma, Aoqing Xia, Changqian Wang, Hai Wang, Xingyi Zhang. 997-1007 [doi]
• Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online RecommendationsLanjihong Ma, Yao-Xiang Ding 0001, Zhen-yu Zhang, Zhi-Hua Zhou. 1008-1019 [doi]
• On the Support Vector Effect in DNNs: Rethinking Data Selection and AttributionSyed Hasan Amin Mahmood, Ming Yin 0001, Rajiv Khanna. 1020-1031 [doi]
• Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid SpacesTianxing Man, Xingchen Li, Zhaogeng Liu, Haozhen Zhang, Bin Gu 0001, Yi Chang 0001. 1032-1043 [doi]
• Attribute-Enhanced Similarity Ranking for Sparse Link PredictionJoão Mattos, Zexi Huang, Mert Kosan, Ambuj Singh, Arlei Silva. 1044-1055 [doi]
• Conservation-informed Graph Learning for Spatiotemporal Dynamics PredictionYuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu 0002, Zidong Wang 0010, Yike Guo, Ji-Rong Wen, Hao Sun 0002, Yang Liu 0005. 1056-1067 [doi]
• Data Glitches Discovery using Influence-based Model ExplanationsNikolaos Myrtakis, Ioannis Tsamardinos, Vassilis Christophides. 1068-1079 [doi]
• Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular PhysicsGyoung S. Na, Chanyoung Park 0001. 1080-1091 [doi]
• Weight-Constrained Simple Path Enumeration in Weighted GraphDian Ouyang, Dong Wen 0001, Jianye Yang 0001, Wentao Li 0001, Xuemin Lin 0001. 1092-1103 [doi]
• Distributional Prototype Learning for Out-of-distribution DetectionBo Peng, Jie Lu 0001, Yonggang Zhang 0003, Guangquan Zhang 0001, Zhen Fang 0001. 1104-1114 [doi]
• On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme ClassificationJatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav 0002, Jian Jiao 0007, Yashoteja Prabhu, Amit Sharma 0007, Manik Varma. 1115-1126 [doi]
• Understanding the Effect of Loss Functions on the Generalization of RecommendationsYuanhao Pu, Defu Lian, Xiaolong Chen, Jin Chen 0008, Ze Liu, Enhong Chen. 1127-1137 [doi]
• Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural NetworksQingGuo Qi, Hongyang Chen, Minhao Cheng, Han Liu 0008. 1138-1149 [doi]
• Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive TaskHongjin Qian, Zheng Liu 0011, Peitian Zhang, Kelong Mao, Yujia Zhou 0002, Xu Chen 0017, Zhicheng Dou. 1150-1160 [doi]
• Adapting to Generalized Online Label Shift by Invariant Representation LearningYu-Yang Qian, Yi-Han Wang, Zhen-yu Zhang, Yuan Jiang 0001, Zhi-Hua Zhou. 1161-1172 [doi]
• Quantum Time-index Models with Reservoir for Time Series ForecastingWenbo Qiao, Jiaming Zhao, Peng Zhang. 1173-1184 [doi]
• DUET: Dual Clustering Enhanced Multivariate Time Series ForecastingXiangfei Qiu, Xingjian Wu, Yan Lin 0006, Chenjuan Guo, Jilin Hu, Bin Yang 0002. 1185-1196 [doi]
• Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational ComplexityYixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou. 1197-1208 [doi]
• ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series ForecastingHyunwoo Seo, Chiehyeon Lim. 1209-1220 [doi]
• Abductive Learning for Neuro-Symbolic Grounded ImitationJie-Jing Shao, Hao-Ran Hao 0002, Xiao-Wen Yang, Yu-Feng Li. 1221-1232 [doi]
• Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent EducationPengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang. 1233-1243 [doi]
• HeavyLocker: Lock Heavy Hitters in Distributed Data StreamsQilong Shi, Xirui Li, Hanyue Zheng, Tong Yang 0003, Yangyang Wang 0001, Mingwei Xu. 1244-1255 [doi]
• Off-Policy Evaluation and Learning for the Future under Non-StationarityTatsuhiro Shimizu, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Kei Tateno, Takuma Udagawa, Yuta Saito. 1256-1264 [doi]
• Covering Cracks in Content Moderation: Delexicalized Distant Supervision for Illicit Drug Jargon DetectionMinkyoo Song, Eugene Jang, Jaehan Kim, Seungwon Shin 0001. 1265-1276 [doi]
• Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model ChangeIgnacy Stepka, Jerzy Stefanowski, Mateusz Lango. 1277-1288 [doi]
• CLEAR: Addressing Representation Contamination in Multimodal Healthcare AnalyticsGe Su, Kaiping Zheng, Tiancheng Zhao, Jianwei Yin. 1289-1300 [doi]
• A Unified Invariant Learning Framework for Graph ClassificationYongduo Sui, Jie Sun, Shuyao Wang, Zemin Liu, Qing Cui, Longfei Li, Xiang Wang 0010. 1301-1312 [doi]
• Handling Feature Heterogeneity with Learnable Graph PatchesYifei Sun 0002, Yang Yang 0009, Xiao Feng, Zijun Wang, Haoyang Zhong, Chunping Wang 0001, Lei Chen. 1313-1324 [doi]
• Robust Uplift Modeling with Large-Scale Contexts for Real-time MarketingZexu Sun, Qiyu Han, Minqin Zhu, Hao Gong, Dugang Liu, Chen Ma 0001. 1325-1336 [doi]
• 2MR: Review and Rewrite Modality for RecommendationGu Tang, Jinghe Wang, Xiaoying Gan, Bin Lu 0005, Ze Zhao, Luoyi Fu, Xinbing Wang, Chenghu Zhou. 1337-1348 [doi]
• Spatially Compact Dense Block Mining in Spatial TensorsWeike Tang, Dingming Wu 0001, Tsz Nam Chan, Kezhong Lu. 1349-1360 [doi]
• MLDGG: Meta-Learning for Domain Generalization on GraphsQin Tian, Chen Zhao 0010, Minglai Shao, Wenjun Wang 0002, Yujie Lin, Dong Li 0034. 1361-1372 [doi]
• From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query GenerationZhenyu Tong, Chuan Qin 0002, Chuyu Fang, Kaichun Yao, Xi Chen 0073, Jingshuai Zhang, Chen Zhu 0003, Hengshu Zhu. 1373-1384 [doi]
• GROOT: Effective Design of Biological Sequences with Limited Experimental DataThanh V. T. Tran, Nhat-Khang Ngo, Viet Anh Nguyen, Truong-Son Hy. 1385-1396 [doi]
• How Well Calibrated are Extreme Multi-label Classifiers? An Empirical AnalysisNasib Ullah, Erik Schultheis, Jinbin Zhang, Rohit Babbar. 1397-1408 [doi]
• Scaling the Vocabulary of Non-autoregressive Models for Fast Generative RetrievalRavisri Valluri, Akash Kumar Mohankumar, Kushal Dave 0001, Amit Singh, Jian Jiao 0007, Manik Varma, Gaurav Sinha. 1409-1420 [doi]
• Interpretable Prediction and Feature Selection for Survival AnalysisMike Van Ness, Madeleine Udell. 1421-1432 [doi]
• Dynamic Causal Structure Discovery and Causal Effect EstimationJianian Wang, Rui Song 0006. 1433-1444 [doi]
• Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical DiagnosisJiaqi Wang 0002, Ziyi Yin 0003, Quanzeng You, Lingjuan Lyu, Fenglong Ma. 1445-1456 [doi]
• CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement LearningJingwei Wang 0002, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Qin Zhang, Zhentao Tang, Bin Wang 0034, Jianye Hao, Yong Li 0008. 1457-1468 [doi]
• An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman ProblemMingzhao Wang, You Zhou 0008, Zhiguang Cao, Yubin Xiao, Xuan Wu 0004, Wei Pang 0001, Yuan Jiang 0007, Hui Yang, Peng Zhao, Yuanshu Li. 1469-1480 [doi]
• Robust Fast Adaptation from Adversarially Explicit Task Distribution GenerationQi (Cheems) Wang, Yiqin Lv, Yixiu Mao, Yun Qu 0002, Yi Xu, Xiangyang Ji. 1481-1491 [doi]
• GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask InstructionRongzheng Wang, Shuang Liang 0002, Qizhi Chen, Jiasheng Zhang, Ke Qin. 1492-1503 [doi]
• Embedding Prior Task-specific Knowledge into Language Models for Context-aware Document RankingShuting Wang 0002, Yutao Zhu 0001, Zhicheng Dou. 1504-1514 [doi]
• Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution PerspectiveXianquan Wang, Likang Wu, Zhi Li 0057, Haitao Yuan, Shuanghong Shen, Huibo Xu, Yu Su 0002, Chenyi Lei. 1515-1526 [doi]
• Graph Triple Attention Networks: A Decoupled PerspectiveXiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong. 1527-1538 [doi]
• Runtime-Aware Pipeline for Vertical Federated Learning with Bounded Model StalenessXiong Wang, Yi Zhang 0004, Yuxin Chen, Yuqing Li, Chuanhu Ma, Bo Li, Hai Jin 0001. 1539-1550 [doi]
• Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment LabelsYaxuan Wang, Hao Cheng 0005, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu 0018. 1551-1562 [doi]
• Connecting Domains and Contrasting Samples: A Ladder for Domain GeneralizationTianxin Wei, Yifan Chen 0004, Xinrui He, Wenxuan Bao, Jingrui He. 1563-1574 [doi]
• Progressive Generalization Risk Reduction for Data-Efficient Causal Effect EstimationHechuan Wen, Tong Chen 0005, Guanhua Ye, Li Kheng Chai, Shazia Sadiq, Hongzhi Yin. 1575-1586 [doi]
• FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated LearningZhenyu Wen, Wanglei Feng, Di Wu 0065, Haozhen Hu, Chang Xu, Bin Qian 0002, Zhen Hong, Cong Wang, Shouling Ji. 1587-1598 [doi]
• Feature Selection for Network Intrusion DetectionCharles Westphal, Stephen Hailes, Mirco Musolesi. 1599-1610 [doi]
• Classifying Treatment Responders: Bounds and AlgorithmsAnpeng Wu, Haoxuan Li, Chunyuan Zheng, Kun Kuang, Kun Zhang. 1611-1622 [doi]
• Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive TrainingYebo Wu, Li Li 0064, Cheng-Zhong Xu 0001. 1623-1632 [doi]
• ProgDiffusion: Progressively Self-encoding Diffusion ModelsZhangkai Wu, Xuhui Fan 0001, Longbing Cao. 1633-1644 [doi]
• ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal PredictionKaiwen Xia, Li Lin 0011, Shuai Wang, Qi Zhang, Shuai Wang, Tian He 0001. 1645-1656 [doi]
• Brain Effective Connectivity Estimation via Fourier Spatiotemporal AttentionWen Xiong, Jinduo Liu 0001, Junzhong Ji, Fenglong Ma. 1657-1668 [doi]
• ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPUBorui Xu, Zeyi Wen, Yao Chen 0008, Weiguo Liu, Weng-Fai Wong, Bingsheng He. 1669-1678 [doi]
• Incremental Label Distribution LearningChao Xu 0008, Xijia Tang, Hong Tao, Chenping Hou. 1679-1690 [doi]
• Neural Network Pruning for Invariance LearningDerek Xu, Yuanzhou Chen, Yizhou Sun, Wei Wang 0010. 1691-1702 [doi]
• MM-Path: Multi-modal, Multi-granularity Path Representation LearningRonghui Xu 0001, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang 0002. 1703-1714 [doi]
• Succinct Interaction-Aware ExplanationsSascha Xu, Joscha Cüppers, Jilles Vreeken. 1715-1726 [doi]
• Fast and Accurate Temporal Hypergraph Representation for Hyperedge PredictionYuanyuan Xu 0002, Wenjie Zhang 0001, Ying Zhang 0001, Xiwei Xu 0001, Xuemin Lin 0001. 1727-1738 [doi]
• Learning Universal Multi-level Market Irrationality Factors to Improve Stock Return ForecastingChen Yang 0024, Jingyuan Wang 0001, Xiaohan Jiang, Junjie Wu 0002. 1739-1750 [doi]
• Causal Discovery from Shifted Multiple EnvironmentsDezhi Yang, Guoxian Yu, Jun Wang 0035, Jinglin Zhang, Carlotta Domeniconi. 1751-1762 [doi]
• Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label LearningFuchao Yang, Jianhong Cheng, Hui Liu 0032, Yongqiang Dong, Yuheng Jia, Junhui Hou. 1763-1772 [doi]
• CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public EventsXiaojie Yang, Hangli Ge, Jiawei Wang, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Noboru Koshizuka. 1773-1784 [doi]
• GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer LearningZhe-Rui Yang, Jindong Han, Chang-Dong Wang 0001, Hao Liu 0026. 1785-1796 [doi]
• PraFFL: A Preference-Aware Scheme in Fair Federated LearningRongguang Ye, Wei-Bin Kou, Ming Tang. 1797-1808 [doi]
• Benchmarking and Defending against Indirect Prompt Injection Attacks on Large Language ModelsJingwei Yi, Yueqi Xie, Bin Zhu 0008, Emre Kiciman, Guangzhong Sun, Xing Xie 0001, Fangzhao Wu. 1809-1820 [doi]
• Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph ReasoningGongzhu Yin, Hongli Zhang 0001, Yuchen Yang 0004, Yi Luo. 1821-1832 [doi]
• Generalizable Recommender System During Temporal Popularity Distribution ShiftsHyunsik Yoo, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong. 1833-1843 [doi]
• Non-Homophilic Graph Pre-Training and Prompt LearningXingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang. 1844-1854 [doi]
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• Boosting Explainability through Selective Rationalization in Pre-trained Language ModelsLibing Yuan, Shuaibo Hu, Kui Yu, Le Wu. 1867-1878 [doi]
• A Structure-aware Invariant Learning Framework for Node-level Graph OOD GeneralizationRuiwen Yuan, Yongqiang Tang, Wensheng Zhang 0002. 1879-1890 [doi]
• Combinatorial Optimization Perspective based Framework for Multi-behavior RecommendationChenhao Zhai, Chang Meng, Yu Yang 0015, Kexin Zhang 0007, Xuhao Zhao, Xiu Li 0001. 1891-1902 [doi]
• Semi-supervised Multi-view Clustering with Active ConstraintsChao Zhang 0078, Deng Xu, Chunlin Chen, Huaxiong Li. 1903-1912 [doi]
• DimCL: Dimension-Aware Augmentation in Contrastive Learning for RecommendationChi Zhang 0060, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao 0001, Rui Chen 0012. 1913-1923 [doi]
• Generalizing Personalized Federated Graph Augmentation via Min-max Adversarial LearningLiang Zhang, Tao Long, Yang Liu 0017, Lei Zhang 00666, Laizhong Cui, Qingjiang Shi. 1924-1935 [doi]
• PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential PrivacySen Zhang, Haibo Hu 0001, Qingqing Ye 0001, Jianliang Xu. 1936-1947 [doi]
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• LLM-Eraser: Optimizing Large Language Model Unlearning through Selective PruningShengming Zhang, Le Zhang 0010, Jingbo Zhou, Zhi Zheng 0008, Hui Xiong 0001. 1960-1971 [doi]
• IDentity with Locality: An Ideal Hash for Gene Sequence SearchTianyi Zhang, Gaurav Gupta, Aditya Desai, Anshumali Shrivastava. 1972-1983 [doi]
• Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive LearningYifei Zhang, Hao Zhu 0010, Menglin Yang 0001, Jiahong Liu 0001, Rex Ying, Irwin King, Piotr Koniusz. 1984-1995 [doi]
• Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge GraphYutong Zhang, Lixing Chen, Shenghong Li 0001, Nan Cao 0001, Yang Shi 0007, Jiaxin Ding 0001, Zhe Qu, Pan Zhou 0001, Yang Bai. 1996-2007 [doi]
• Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?Zhongjian Zhang, Xiao Wang 0017, Huichi Zhou, Yue Yu 0007, Mengmei Zhang, Cheng Yang 0002, Chuan Shi 0001. 2008-2019 [doi]
• Proactive Model Adaptation Against Concept Drift for Online Time Series ForecastingLifan Zhao, Yanyan Shen. 2020-2031 [doi]
• Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution ShiftTong Zhao, Daixin Wang, Zhiqiang Zhang, Yulin Kang, Jun Zhou. 2032-2042 [doi]
• Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup TheoryWeichen Zhao, Chenguang Wang 0001, Xinyan Wang 0004, Congying Han, Tiande Guo, Tianshu Yu. 2043-2054 [doi]
• Graph Learning with Distributional Edge LayoutsXinjian Zhao, Chaolong Ying, Yaoyao Xu, Tianshu Yu. 2055-2066 [doi]
• Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate AttributesYige Zhao, Jianxiang Yu 0001, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li 0067, Shuaiqiang Wang. 2067-2078 [doi]
• Graph Contrastive Learning with Progressive AugmentationsYuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Xingwei Wang 0001. 2079-2088 [doi]
• Towards Context-Aware Traffic Classification via Time-Wavelet Fusion NetworkZiming Zhao 0008, Zhuoxue Song, Xiaofei Xie, Zhaoxuan Li, Jiongchi Yu, Fan Zhang 0010, Tingting Li 0004. 2089-2100 [doi]
• Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for RecommendationBowen Zheng 0005, Junjie Zhang 0009, Hongyu Lu, Yu Chen, Ming Chen, Wayne Xin Zhao, Ji-Rong Wen. 2101-2112 [doi]
• A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured ConfoundingChuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong. 2113-2123 [doi]
• HRSTORY: Historical News Review Based Online Story DiscoveryRenjie Zhou, Haoran Ye, Jian Wan 0001, Yong Liao. 2124-2134 [doi]
• Grid and Road Expressions Are Complementary for Trajectory Representation LearningSilin Zhou, Shuo Shang, Lisi Chen 0001, Peng Han 0005, Christian S. Jensen. 2135-2146 [doi]
• BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learningYu Zhou, Bingyan Liu. 2147-2158 [doi]
• RELIEF: Reinforcement Learning Empowered Graph Feature Prompt TuningJiapeng Zhu 0002, Zichen Ding 0002, Jianxiang Yu 0001, Jiaqi Tan 0006, Xiang Li 0067, Weining Qian. 2159-2170 [doi]
• Contextual Generative Auction with Permutation-level Externalities for Online AdvertisingRuitao Zhu, Yangsu Liu, Dagui Chen, Zhenjia Ma, Chufeng Shi, Zhenzhe Zheng, Jie Zhang 0078, Jian Xu 0015, Bo Zheng 0007, Fan Wu 0006. 2171-2181 [doi]
• Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency PerspectiveZhangchi Zhu, Wei Zhang. 2182-2193 [doi]
• HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly FeedbackXufeng Cai, Ziwei Guan, Lei Yuan, Ali Selman Aydin, Tengyu Xu, Boying Liu, Wenbo Ren, Renkai Xiang, Songyi He, Haichuan Yang, Serena Li, Mingze Gao, Yue Weng, Ji Liu. 2194-2203 [doi]
• Powerformer: A Section-adaptive Transformer for Power Flow AdjustmentKaixuan Chen 0004, Wei Luo, Shunyu Liu 0001, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Yong Wang, Jie Song 0011, Mingli Song. 2204-2215 [doi]
• An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online AdvertisingZhijian Duan 0001, Yusen Huo, Tianyu Wang, Zhilin Zhang 0003, Yeshu Li, Chuan Yu, Jian Xu 0015, Bo Zheng 0007, Xiaotie Deng. 2216-2225 [doi]
• ForTune: Running Offline Scenarios to Estimate Impact on Business MetricsGeorges Dupret, Konstantin Sozinov, Carmen Barcena Gonzalez, Ziggy Zacks, Amber Yuan, Ben Carterette, Manuel Mai, Andrey Gatash, Gwo Liang Lien, Shubham Bansal, Roberto Sanchis-Ojeda, Mounia Lalmas. 2226-2234 [doi]
• Experimenting, Fast and Slow: Bayesian Optimization of Long-term Outcomes with Online ExperimentsQing Feng, Samuel Daulton, Benjamin Letham, Maximilian Balandat, Eytan Bakshy. 2235-2246 [doi]
• Multi-Task Combinatorial Bandits for Budget AllocationLin Ge, Yang Xu, Jianing Chu, David Cramer, Fuhong Li, Kelly Paulson, Rui Song 0006. 2247-2258 [doi]
• TEMPER: Capturing Consistent and Fluctuating TEMPoral User Behaviour for EtheReum Phishing Scam DetectionMedhasree Ghosh, Chirag Dinesh Jain, Raju Halder, Joydeep Chandra. 2259-2270 [doi]
• Efficient Multi-Expert Tabular Language Model for BankingYue Guo, Wentao Zhang, Xiaojun Zhang, Vincent W. Zheng, Yi Yang 0042. 2271-2281 [doi]
• Learning Adaptive Reserve Price in Display AdvertisingKun Hu, Shumin Zhang, LiXia Wu, Yongjun Dai, Minfang Lu, Yuting Qiang, Minglong Li. 2282-2291 [doi]
• Synthetic Survey Data Generation and EvaluationYanru Jiang, Siyu Liang, Junwon Choi. 2292-2302 [doi]
• Large Vison-Language Foundation Model in Baidu AIGC Image AdvertisingZhipeng Jin, Wen Tao, Yafei Li, Yi Yang, Cong Han, Shuanglong Li, Lin Liu. 2303-2312 [doi]
• YaART: Yet Another ART Rendering TechnologySergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Dmitry Baranchuk, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov. 2313-2324 [doi]
• TGDataset: Collecting and Exploring the Largest Telegram Channels DatasetMassimo La Morgia, Alessandro Mei, Alberto Maria Mongardini. 2325-2334 [doi]
• LLMLight: Large Language Models as Traffic Signal Control AgentsSiqi Lai, Zhao Xu 0006, Weijia Zhang 0003, Hao Liu 0026, Hui Xiong 0001. 2335-2346 [doi]
• A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient DataSeungyeon Lee 0002, Ruoqi Liu, Feixiong Cheng, Ping Zhang 0016. 2347-2358 [doi]
• ECGrecover: A Deep Learning Approach for Electrocardiogram Signal CompletionAlex Lence, Federica Granese, Ahmad Fall, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti. 2359-2370 [doi]
• MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation SystemsLichi Li, Zainul Abi Din, Zhen Tan 0001, Sam London, Tianlong Chen, Ajay H. Daptardar. 2371-2382 [doi]
• Contrastive Learning for Inventory Add Prediction at FliggyManwei Li, Detao Lv, Yao Yu, Zihao Jiao. 2383-2392 [doi]
• FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real CitiesMingyuan Li 0006, Jiahao Wang, Bo Du 0004, Jun Shen 0001, Qiang Wu 0010. 2393-2404 [doi]
• Improving Synthetic Image Detection Towards Generalization: An Image Transformation PerspectiveOuxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang, Yao Hu, Fuli Feng. 2405-2414 [doi]
• RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale SearchYuchen Li 0006, Haoyi Xiong, Yongqi Zhang, Jiang Bian 0003, Tianhao Peng 0002, Xuhong Li 0002, Shuaiqiang Wang, Linghe Kong, Dawei Yin. 2415-2425 [doi]
• Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement LearningBin Liu, Yu Liu, Zhiqian Li, Jianghong Xiao, Guosheng Yin, Huazhen Lin. 2426-2435 [doi]
• Scenario Shared Instance Modeling for Click-through Rate PredictionDugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang 0007, Gongfu Li, Fuyuan Lyu, Xiuqiang He 0001, Zhong Ming 0001. 2436-2447 [doi]
• LinkSAGE: Optimizing Job Matching Using Graph Neural NetworksPing Liu 0002, Haichao Wei, Xiaochen Hou, Jianqiang Shen, Shihai He, Qianqi Shen, Zhujun Chen, Fedor Borisyuk, Daniel Hewlett, Liang Wu, Srikant Veeraraghavan, Alex Tsun, Chengming Jiang, Wenjing Zhang. 2448-2457 [doi]
• Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement LearningTao Liu, Qi Xu, Wei Shi, Zhigang Hua, Shuang Yang. 2458-2468 [doi]
• Roadside Multi-LiDAR Data Fusion for Enhanced Traffic SafetyMd. Parvez Mollah, Biplob Debnath, Murugan Sankaradas, Srimat Chakradhar, Abdullah Mueen. 2469-2479 [doi]
• Using Instruction-Tuned LMs for Scalable Use Case-Based Shopping - Where Customers Meet Their NeedsRajdeep Mukherjee, Sonali Singh, Sachin Farfade. 2480-2491 [doi]
• Understanding Team Collapse via Probabilistic Graphical ModelsIasonas Nikolaou, Konstantinos Pelechrinis, Evimaria Terzi. 2492-2503 [doi]
• Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind TurbulenceZhan Qu, Shuzhou Yuan, Michael Färber 0001, Marius Brennfleck, Niklas Wartha, Anton Stephan. 2504-2513 [doi]
• Towards Web-scale Recommendations with LLMs: From Quality-aware Ranking to Candidate GenerationJaidev Shah, Iman Barjasteh, Amey Barapatre, Rana Forsati, Gang Luo, Fan Wu, Yuan Fang, Xue Deng, Blake Shepard, Ronak Shah, Linjun Yang, Hongzhi Li. 2514-2524 [doi]
• SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data AssimilationMaying Shen, Nadine Chang, Sifei Liu, José M. Álvarez 0004. 2525-2535 [doi]
• AntAkso: Claims Management System for Health Insurance in AlipayQitao Shi, Jun Zhou 0011, Ya-Lin Zhang 0001, Longfei Li, Chaoyi Ma, Yifan Wu, Xiaobo Qin. 2536-2547 [doi]
• CATER: A Cluster-Based Alternative-Term Recommendation Framework for Large-Scale Web Search at NAVERJiwon Son, Jaeyoon Kim, Taekin Kim, Yeon-Chang Lee, Sang-Wook Kim. 2548-2559 [doi]
• A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value IdentificationD. Subhalingam, Keshav Kolluru, Mausam, Saurabh Singal. 2560-2571 [doi]
• Unifying Adversarial Multi-Deconfounded Learning Paradigm for Fake News DetectionZixun Sun, Mingye Xu, Guanming Liang, Qi Liu. 2572-2583 [doi]
• Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data ScenariosXiaoyu Tan, Haoyu Wang, Xihe Qiu, Leijun Cheng, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi 0001. 2584-2595 [doi]
• Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video SearchHengzhu Tang, Zefeng Zhang, Zhiping Li, Zhenyu Zhang, Xing Wu, Li Gao, Suqi Cheng, Dawei Yin. 2596-2605 [doi]
• Generative Retrieval for Book SearchYubao Tang, Ruqing Zhang 0001, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng. 2606-2617 [doi]
• Cross-Species Insights: Transforming Drug Efficacy from Rats to Humans Using Tissue-Specific Generative ModelsSally Turutov, Kira Radinsky. 2618-2627 [doi]
• Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation SystemChao Wang, Yue Zheng, Yujing Zhang, Yan Feng, Zhe Wang, Xiaowei Shi, An You, Yu Chen. 2628-2637 [doi]
• HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at KuaishouXu Wang, Jiangxia Cao, Zhiyi Fu, Kun Gai, Guorui Zhou. 2638-2647 [doi]
• Producer-Side Experiments Based on Counterfactual Interleaving Designs for Online Recommender SystemsYan Wang, Shan Ba. 2648-2659 [doi]
• SoAy: A Solution-based LLM API-using Methodology for Academic Information SeekingYuanchun Wang, Jifan Yu, Zijun Yao 0002, Jing Zhang 0001, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou 0001, Juanzi Li, Jie Tang 0001. 2660-2671 [doi]
• Beyond Item Dissimilarities: Diversifying by Intent in Recommender SystemsYuyan Wang, Cheenar Banerjee, Samer Chucri, Fabio Soldo, Sriraj Badam, Ed H. Chi, Minmin Chen. 2672-2681 [doi]
• DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal ForecastingHao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng 0004, Qingsong Wen, Kun Wang. 2682-2692 [doi]
• LDMapNet-U: An End-to-End System for City-Scale Lane-Level Map UpdatingDeguo Xia, Weiming Zhang, Xiyan Liu, Wei Zhang 0088, Chenting Gong, Xiao Tan 0001, Jizhou Huang, Mengmeng Yang 0001, Diange Yang. 2693-2702 [doi]
• Effective AOI-level Parcel Volume Prediction: When Lookahead Parcels MatterYinfeng Xiang, Jiangyi Fang, Chao Li 0062, Haitao Yuan, Yiwei Song, Jiming Chen 0001. 2703-2712 [doi]
• Scalable Area Difficulty Assessment with Knowledge-enhanced AI for Nationwide Logistics SystemsZejun Xie, Wenjun Lyu, Yiwei Song, Haotian Wang 0008, Guang Yang, Yunhuai Liu, Tian He 0001, Desheng Zhang, Guang Wang 0001. 2713-2724 [doi]
• Mutual Information-aware Knowledge Distillation for Short Video RecommendationHan Xu, Taoxing Pan, Zhiqiang Liu, Xiaoxiao Xu. 2725-2734 [doi]
• Disclosing Actual Controller based on Equity Knowledge Graph LearningQingying Xu, Liang Hong, Mingxuan Shen, Baokun Yi. 2735-2744 [doi]
• Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR PredictionXiang Xu, Hao Wang 0076, Wei Guo 0006, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu 0020, Defu Lian, Enhong Chen. 2745-2755 [doi]
• AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics DataQinchen Yang, Zhiqing Hong, Dongjiang Cao, Haotian Wang 0008, Zejun Xie, Tian He 0001, Yunhuai Liu, Yu Yang 0010, Desheng Zhang. 2756-2767 [doi]
• SWaT: Statistical Modeling of Video Watch Time through User Behavior AnalysisShentao Yang, Haichuan Yang, LinNa Du, Adithya Ganesh, Bo Peng, Boying Liu, Serena Li, Ji Liu. 2768-2778 [doi]
• SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph ConstructionChangchang Yin, Shihan Fu, Bingsheng Yao, Thai-Hoang Pham, Weidan Cao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang 0016. 2779-2790 [doi]
• BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationHaiyang Yu, Tian Xie, Jiaping Gui, Pengyang Wang, Pengzhou Cheng, Ping Yi, Yue Wu 0010. 2791-2802 [doi]
• Instruction Semantics Enhanced Dual-Flow Graph Model for GPU Error Resilience PredictionPengfei Yu, Jingjing Gu, Dazhong Shen, Xin Dong 0010, Yang Liu, Hui Xiong 0001. 2803-2814 [doi]
• NoteLLM-2: Multimodal Large Representation Models for RecommendationChao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu 0055, Tong Xu 0001, Xiangyu Zhao 0001, Yan Gao 0017, Yao Hu 0002, Enhong Chen. 2815-2826 [doi]
• Large-scale Human Mobility Data Regeneration for Open Urban ResearchRuixing Zhang, Yunqi Liu, Liangzhe Han, Leilei Sun, Chuanren Liu, Jibin Wang, Weifeng Lv. 2827-2836 [doi]
• MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive MaintenanceShuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou 0003. 2837-2847 [doi]
• Multi-period Learning for Financial Time Series ForecastingXu Zhang 0026, Zhengang Huang, Yunzhi Wu, Xun Lu, Erpeng Qi, Yunkai Chen, Zhongya Xue, Qitong Wang 0003, Peng Wang 0027, Wei Wang 0009. 2848-2859 [doi]
• MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced InterpretationZheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye 0001. 2860-2871 [doi]
• Awaking the Slides: A Tuning-free and Knowledge-regulated AI Tutoring System via Language Model CoordinationDaniel Zhang-li, Zheyuan Zhang, Jifan Yu, Joy Lim Jia Yin, Shangqing Tu, Linlu Gong, Haohua Wang, Zhiyuan Liu 0001, Huiqin Liu, Lei Hou 0001, Juanzi Li. 2872-2883 [doi]
• Prices Do Matter: Modeling Price Competitiveness for Online Hotel IndustryRuitao Zhu, Wendong Xiao, Yao Yu, Yangsu Liu, Zhenzhe Zheng, Shuqi Zhang, Dong Li, Fan Wu. 2884-2893 [doi]