Table of Contents

• A Deep Reinforcement Learning Approach to Configuration Sampling ProblemAmir Abolfazli, Jakob Spiegelberg, Gregory Palmer, Avishek Anand. 1-10 [doi]
• Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly DetectionYuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen 0062, Zhao Li, Jiajun Bu. 11-20 [doi]
• CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-CriticPalawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo. 21-30 [doi]
• Graph Self-Contrast Representation LearningMinjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao. 31-40 [doi]
• A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated LearningPeng Chen, Jirui Yang, Junxiong Lin, Zhihui Lu 0002, Qiang Duan, Hongfeng Chai. 41-50 [doi]
• Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal InferenceDebo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng. 51-60 [doi]
• Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership QueriesHaipeng Dai, Hancheng Wang, Zhipeng Chen, Jiaqi Zheng 0001, Meng Li 0010, Rong Gu, Chen Tian 0001, Wanchun Dou. 61-70 [doi]
• Themis: Detecting Anomalies from Disguised Normal Financial ActivitiesRui Ding, Xiaochun Yang 0001, Bin Wang. 71-80 [doi]
• Distributional Domain-Invariant Preference Matching for Cross-Domain RecommendationJing Du, Zesheng Ye, Bin Guo 0001, Zhiwen Yu 0001, Lina Yao 0001. 81-90 [doi]
• Beyond Lexical Consistency: Preserving Semantic Consistency for Program TranslationYali Du 0002, Yi-Fan Ma, Zheng Xie, Ming Li 0005. 91-100 [doi]
• Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning ApproachBrian Etter, James Lee Hu, MohammadReza Ebrahimi, Weifeng Li 0002, Xin Li 0108, Hsinchun Chen. 101-109 [doi]
• Robustness Certification of k-Nearest NeighborsNicolò Fassina, Francesco Ranzato, Marco Zanella. 110-119 [doi]
• Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic ModelPengzhan Guo, Keli Xiao, Hengshu Zhu, Qingxin Meng 0002. 120-129 [doi]
• FM-IGNN: Interaction Graph Neural Network with Fine-grained Matching for Session-based RecommendationZongzhi Han, Zhonghong Ou, Yifan Zhu, Xiaodong Li, Meina Song. 130-139 [doi]
• Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level ClassificationMalik Khizar Hayat, Shan Xue, Jian Yang 0001. 140-149 [doi]
• Self-supervised Pre-training for Robust and Generic Spatial-Temporal RepresentationsMingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo. 150-159 [doi]
• Boosting Urban Prediction via Addressing Spatial-Temporal Distribution ShiftXuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang. 160-169 [doi]
• Cascaded Cross Attention for Review-based Sequential RecommendationBingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming 0001. 170-179 [doi]
• Explainable Adaptive Tree-based Model Selection for Time-Series ForecastingMatthias Jakobs, Amal Saadallah. 180-189 [doi]
• Enhancing Graph Collaborative Filtering via Neighborhood Structure EmbeddingXinzhou Jin, Jintang Li, Yuanzhen Xie, Liang Chen 0001, Beibei Kong, Lei Cheng, Bo Hu, Zang Li, Zibin Zheng. 190-199 [doi]
• Reserve Price optimization in First-Price Auctions via Multi-Task LearningAchir Kalra, Chong Wang, Cristian Borcea, Yi Chen 0001. 200-209 [doi]
• Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause AnalysisDomokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr. 210-219 [doi]
• Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield PredictionPatrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco. 220-228 [doi]
• TensorCodec: Compact Lossy Compression of Tensors without Strong Data AssumptionsTaehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin. 229-238 [doi]
• Computing Marginal and Conditional Divergences between Decomposable Models with ApplicationsLoong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski. 239-248 [doi]
• Federated Learning for Privacy-Preserving Prediction of Occupational Group Mobility Using Multi-Source Mobile DataHao Li, Hao Jiang, Haoran Xian, Qimei Chen. 249-258 [doi]
• Anti-Noise Muiti-View Feature Selection With Sample ConstraintsJiaye Li, Hang Xu, Hao Yu, Weixin Li, Shichao Zhang. 259-268 [doi]
• Hypergraph Attribute Attention Network for Community RecommendationKang Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang. 269-278 [doi]
• Interpretable Subgraph Feature Extraction for Hyperlink PredictionPeiyan Li, Liming Pan, Kai Li, Claudia Plant, Christian Böhm 0001. 279-288 [doi]
• Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite GraphsXiangyu Li, Armand Ovanessians, Hua Wang 0007. 289-298 [doi]
• Auto Graph Filtering for Bundle RecommendationXiang-Long Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang. 299-308 [doi]
• ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive ExamplesXuhong Li 0002, Xuanyu Wu, Linghe Kong, Xiao Zhang 0001, Siyu Huang, Dejing Dou, Haoyi Xiong. 309-318 [doi]
• GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data AugmentationYanjin Li, Linchuan Xu, Kenji Yamanishi. 319-328 [doi]
• Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-ResolutionYawei Li, Zhao Zhang, Suiyi Zhao, Jicong Fan, Haijun Zhang, Mingliang Xu. 329-338 [doi]
• MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scaleYuchen Li 0006, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin. 339-348 [doi]
• Efficient and Effective Entity Alignment for Evolving Temporal Knowledge GraphsYunfei Li, Lu Chen, Chengfei Liu, Rui Zhou 0001, Jianxin Li 0001. 349-358 [doi]
• Contextual Target-Specific Stance Detection on Twitter: Dataset and MethodYupeng Li, Dacheng Wen, Haorui He, Jianxiong Guo, Xuan Ning, Francis C. M. Lau 0001. 359-367 [doi]
• Telecom Fraud Detection Based on Feature Binning and AutoencoderFei-Yao Liang, Fei-Peng Li, Ronghai Xu, Wei Cheng, Shi-Xian Deng, Zhe-Rui Yang, Chang-Dong Wang. 368-377 [doi]
• Learning Compact Compositional Embeddings via Regularized Pruning for RecommendationXurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin. 378-387 [doi]
• Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble LearningZibo Liang, Xu Chen, Yan Zhao, Jiandong Xie, Kai Zeng 0002, Kai Zheng 0001. 388-397 [doi]
• Multi-Label Personalized Classification via Exclusive Sparse Tensor FactorizationWeijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura. 398-407 [doi]
• IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph ForecastingKangzheng Liu, Feng Zhao 0003, Guandong Xu, Shiqing Wu. 408-417 [doi]
• Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling RatioPeishuo Liu, Cangqi Zhou, Jing Zhang 0015, Qianmu Li, Dianming Hu. 418-427 [doi]
• Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute RemovalShenghao Liu, Guoyang Wu, Xianjun Deng, Hongwei Lu, Bang Wang, Laurence T. Yang, James J. Park. 428-437 [doi]
• Variational Collective Graph AutoEncoder for Multi-behavior RecommendationYang Liu, Qianzhen Rao, Weike Pan, Zhong Ming 0001. 438-447 [doi]
• PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for RecommendationYi-Hong Lu, Chang-Dong Wang, Pei-Yuan Lai, Jian-Huang Lai. 448-457 [doi]
• CVaDeS: A Conditional Variational Deep Survival Model for Survival AnalysisJinyuan Luo, Zikai Xiao, Wen Shi, Linhai Xie, Hong Yang, Xiaoxia Yin, Yanchun Zhang. 458-467 [doi]
• Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event PredictionYang Luo, Zehao Gu, Shiyang Zhou, Yun Xiong, Xiaofeng Gao 0001. 468-477 [doi]
• MoonKV: Optimizing Update-intensive Workloads for NVM-based Key-value StoresZhenghong Luo, Qian Wang, Haomai Wang, Tianshan Qu, Meng Li, Rong Gu, Haipeng Dai. 478-487 [doi]
• Adaptive Student Inference Network for Efficient Single Image Super-ResolutionKang Miao, Zhao Zhang, Jiahuan Ren, Mingbo Zhao, Haijun Zhang, Richang Hong. 488-497 [doi]
• Robust Network Alignment with the Combination of Structure and Attribute EmbeddingsJingkai Peng, Fei Xiong, Shirui Pan, Liang Wang, Xi Xiong. 498-507 [doi]
• A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data AccessYixuan Qiu, Weitong Chen 0001, Miao Xu. 508-517 [doi]
• DSG: An End-to-End Document Structure GeneratorJohannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang 0001, Stefan Feuerriegel. 518-527 [doi]
• Deep Multi-kernel Clustering NetworkLina Ren, Ruizhang Huang, Shengwei Ma, Yongbin Qin, Yanping Chen, Chuan Lin. 528-537 [doi]
• Interactive Activities Initiation through Retrieving Hidden Social Information NetworksYuLong Song, Bin Fu, Jianxiong Guo, Xiaofeng Gao 0001. 538-547 [doi]
• MCRec: Multi-channel Gated Gifts RecommendationTing-Ting Su, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang. 548-557 [doi]
• DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashingLi Sun 0008, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng 0001, Zhengtao Yu 0001, Philip S. Yu. 558-567 [doi]
• 22MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly DetectorSadaf Tafazoli, Yue Lu, Renjie Wu 0001, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn J. Keogh. 568-577 [doi]
• Matching Words for Out-of-distribution DetectionKeke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, Wenping Wang. 578-587 [doi]
• Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal ModelingKshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar 0001. 588-597 [doi]
• Differentiable Bayesian Structure Learning with Acyclicity AssuranceQuang Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen. 598-607 [doi]
• HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning AttacksMinh-Hao Van, Alycia N. Carey, Xintao Wu. 608-617 [doi]
• Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural NetworksMinh N. Vu, My T. Thai. 618-627 [doi]
• BDVFL: Blockchain-based Decentralized Vertical Federated LearningShuo Wang, Keke Gai, Jing Yu 0007, Liehuang Zhu. 628-637 [doi]
• Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual SamplesZichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang 0002. 638-647 [doi]
• Exploring Model Learning Heterogeneity for Boosting Ensemble RobustnessYanzhao Wu 0001, Ka Ho Chow, Wenqi Wei, Ling Liu 0001. 648-657 [doi]
• Robust Semi-Supervised Learning for Self-learning Open-World ClassesWenjuan Xi, Xin Song, Weili Guo, Yang Yang. 658-667 [doi]
• Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and PerformanceYewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, Shuigeng Zhou. 668-677 [doi]
• Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly DetectionHaolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu 0001. 678-687 [doi]
• Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature SelectionMeng Xiao 0001, Dongjie Wang, Min Wu 0008, Pengfei Wang, Yuanchun Zhou, Yanjie Fu. 688-697 [doi]
• Leveraging Data Density and Sparsity for Efficient SVM Training on GPUsBorui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, Bingsheng He. 698-707 [doi]
• Backdoor Attack on 3D Grey Image SegmentationHonghui Xu, Zhipeng Cai 0001, Zuobin Xiong, Wei Li 0059. 708-717 [doi]
• ConvAOA: A Convolutional Attention Over Attention Model for Click-Through Rate PredictionBin Yang, Tianmu Sha, Ying Xing, Ziyang Wang, Zhipu Xie, Xin Wang. 718-727 [doi]
• Collaborative Word-based Pre-trained Item Representation for Transferable RecommendationShenghao Yang 0004, Chenyang Wang 0003, Yankai Liu, Kangping Xu, Weizhi Ma, Yiqun Liu 0001, Min Zhang, Haitao Zeng, Junlan Feng, Chao Deng. 728-737 [doi]
• Context Sketching for Memory-efficient Graph Representation LearningKai-Lang Yao, Wu-Jun Li. 738-747 [doi]
• Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement CrossingWangyang Ying, Dongjie Wang, Kunpeng Liu 0001, Leilei Sun, Yanjie Fu. 748-757 [doi]
• MPRE: Multi-perspective Patient Representation Extractor for Disease PredictionZiyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau 0001. 758-767 [doi]
• Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel GraphsGuangjie Zeng, Hao Peng 0001, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He 0001. 768-777 [doi]
• Infinitely Deep Graph Transformation NetworksLei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao. 778-787 [doi]
• Cognition-Mode Aware Variational Representation Learning Framework for Knowledge TracingMoyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan 0010, Wenchen Qian, Hui Zhao 0001. 788-797 [doi]
• ATTA: Adversarial Task-transferable Attacks on Autonomous Driving SystemsQingjie Zhang, Maosen Zhang, Han Qiu 0001, Tianwei Zhang 0004, Mounira Msahli, Gérard Memmi. 798-807 [doi]
• Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event SequencesShuai Zhang, Chuan Zhou 0001, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen. 808-817 [doi]
• Distributional Cloning for Stabilized Imitation Learning via ADMMXin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang. 818-827 [doi]
• Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration ModuleYan Zhang, Cheng Chen, Dian Shen, Meng Wang, Beilun Wang. 828-837 [doi]
• MEG: Masked Ensemble Tabular Data GeneratorYishuo Zhang, Nayyar Abbas Zaidi, Gang Li 0009, Wray L. Buntine. 838-847 [doi]
• Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints KnowledgeYufeng Zhang, Mengxiang Wang, Jianxing Yu. 848-857 [doi]
• ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence AwarenessYunfei Zhang, Chuan Qin 0002, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang 0001, Hengshu Zhu. 858-867 [doi]
• A Mixed-State Streaming Edge Partitioning based on Combinatorial DesignZhenyu Zhang, Wenwen Qu, Weixi Zhang, Junlin Shang, Xiaoling Wang. 868-877 [doi]
• Neural Contextual Combinatorial Bandit under Non-stationary EnvironmentJiaqi Zheng 0001, Hedi Gao, Haipeng Dai, Zhenzhe Zheng, Fan Wu 0006. 878-887 [doi]
• SCRIPT: Sequential Cross-Meta-Information Recommendation in Pretrain and Prompt ParadigmXinyi Zhou 0006, Jipeng Jin, Li Ma, Xiaofeng Gao 0001, Jianbo Yang, Xiongwen Yang, Lei Xiao. 888-897 [doi]
• MtiRec: A Medical Test Recommender System based on the Analysis of Treatment ProgramsNengjun Zhu, Jieyun Huang, Jian Cao, Xinjiang Lu, Hao Liu, Hui Xiong 0001. 898-907 [doi]
• IKGN: Intention-aware Knowledge Graph Network for POI RecommendationXiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He, Xindong Wu 0001. 908-917 [doi]
• Sparse Attacks for Manipulating Explanations in Deep Neural Network ModelsAhmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard. 918-923 [doi]
• Reinforcement Learning based Hyper-heuristics for Many-objective Pickup and Delivery ProblemAdeem Ali Anwar, Xuyun Zhang. 924-929 [doi]
• Hierarchical Context Modeling Network for Landmark RecognitionXing Bao, Huan Zheng, Zhao Zhang, Zhengjun Zha, Meng Wang. 930-937 [doi]
• Stochastic Integrated Explanations for Vision ModelsOren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein. 938-943 [doi]
• Learning to Explain: A Model-Agnostic Framework for Explaining Black Box ModelsOren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein. 944-949 [doi]
• Toward Interpretable Graph Neural Networks via Concept Matching ModelTien-Cuong Bui, Wen-Syan Li. 950-955 [doi]
• Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data AugmentationXunxin Cai, Meng Xiao 0001, Zhiyuan Ning, Yuanchun Zhou. 956-961 [doi]
• Balancing and Contrasting Biased Samples for Debiased Visual Question AnsweringRunlin Cao, Zhixin Li 0001. 962-967 [doi]
• Online Ensemble of Ensemble OVA Framework for Class Evolution with Dominant Emerging ClassesZhi Cao, Shuyi Zhang, Chin-Teng Lin. 968-973 [doi]
• Bilateral Sequential Hypergraph Convolution Network for Reciprocal RecommendationJiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu. 974-979 [doi]
• Equipping Federated Graph Neural Networks with Structure-aware Group FairnessNan Cui, Xiuling Wang, Wendy Hui Wang, Violet Chen, Yue Ning. 980-985 [doi]
• Entropy Aware Training for Fast and Accurate Distributed GNNDhruv Deshmukh, Gagan Raj Gupta, Manisha Chawla, Vishwesh Jatala, Anirban Haldar. 986-991 [doi]
• A TSICN-based Inferential Synthesis Method for Class Imbalance in Credit ScoringDongxu Fanab, Xuanzhi Feng, Jinghe Jiang, Yuming Jiang 0004, Le Zhang, Dasha Hu. 992-997 [doi]
• Concordance Learning with Spectral Decay on Triplet SimilarityJiansheng Fang, Jiajian Li. 998-1003 [doi]
• Mixtron: Bandit Online Multiclass Prediction with Implicit FeedbackWanjin Feng, Hailong Shi, Peilin Zhao, Xingyu Gao 0001. 1004-1012 [doi]
• Continual Trajectory Prediction with Uncertainty-Aware Generative Memory ReplayXiushi Feng, Shuncheng Liu 0001, Haitian Chen, Kai Zheng 0001. 1013-1018 [doi]
• Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure MissingSichao Fu, Qinmu Peng, Yang He, Baokun Du, Xinge You. 1019-1024 [doi]
• Balancing Summarization and Change Detection in Graph StreamsShintaro Fukushima, Kenji Yamanishi. 1025-1030 [doi]
• SimEXT: Self-supervised Representation Learning for Extreme Values in Time SeriesAsadullah Hill Galib, Pang-Ning Tan, Lifeng Luo. 1031-1036 [doi]
• Feedback Decision Transformer: Offline Reinforcement Learning With FeedbackLiad Giladi, Gilad Katz. 1037-1042 [doi]
• Metric-agnostic Learning-to-Rank via Boosting and Rank ApproximationCamilo Gomez, Pengyang Wang, Yanjie Fu. 1043-1048 [doi]
• RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge GraphShipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui. 1049-1054 [doi]
• Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum AnalysisJiayu He, Matloob Khushi, Tung-Anh Nguyen, Nguyen Hoang Tran. 1055-1060 [doi]
• Personalized Federated Semi-Supervised Learning with Black-Box ModelsSiyin Huang, Shao-Yuan Li, Songcan Chen. 1061-1066 [doi]
• A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW MotifMakoto Imamura, Takaaki Nakamura. 1067-1072 [doi]
• Tree-based Kendall's τ Maximization for Explainable Unsupervised Anomaly DetectionLanfang Kong, Alexis Huet, Dario Rossi 0001, Mauro Sozio. 1073-1078 [doi]
• Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use DisorderSeungYeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang 0016. 1079-1084 [doi]
• PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial NetworkHaoran Li, Yang Weng. 1085-1090 [doi]
• Hierarchical Label Inference Incorporating Attribute Semantics in Attributed NetworksJunliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao 0001. 1091-1096 [doi]
• Multi-Hop Correlation Preserving Hashing for Efficient Hamming Space RetrievalLiang Li, Weiwei Sun. 1097-1102 [doi]
• Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment RegimesMingyi Li, Xiao Zhang, Haochao Ying, Yang Li, Xu Han, Dongxiao Yu. 1103-1108 [doi]
• Efficient Multi-source Contact Event Query Processing for Moving ObjectsPengYue Li, Hua Dai 0003, Yu Chen, Bohan Li, Geng Yang. 1109-1114 [doi]
• Pseudo-Labeling with Graph Active Learning for Few-shot Node ClassificationQuan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu. 1115-1120 [doi]
• DiffNAS: Bootstrapping Diffusion Models by Prompting for Better ArchitecturesWenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu. 1121-1126 [doi]
• Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and LocalizationXiangyu Li, Armand Ovanessians, Hua Wang. 1127-1132 [doi]
• GAFNO: Gated Adaptive Fourier Neural Operator for Task-Agnostic Time Series ModelingXin-Yi Li, Yu-Bin Yang. 1133-1138 [doi]
• Privacy-Preserving Cross-Domain Sequential RecommendationZhaohao Lin, Weike Pan, Zhong Ming 0001. 1139-1144 [doi]
• Promoting Robustness of Randomized Smoothing: Two Cost-Effective ApproachesLinbo Liu, Trong Nghia Hoang, Lam M. Nguyen, Tsui-Wei Weng. 1145-1150 [doi]
• Decision-focused Graph Neural Networks for Graph Learning and OptimizationYang Liu, Chuan Zhou 0001, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen. 1151-1156 [doi]
• CaT: Balanced Continual Graph Learning with Graph CondensationYilun Liu 0005, Ruihong Qiu, Zi Huang. 1157-1162 [doi]
• Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching NetworkYiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang. 1163-1168 [doi]
• Insight Analysis for Tennis Strategy and TacticsZhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin 0001, Jin Song Dong. 1169-1174 [doi]
• A Counterfactual Fair Model for Longitudinal Electronic Health Records via DeconfounderZheng Liu, Xiaohan Li 0001, Philip S. Yu. 1175-1180 [doi]
• Mixup-Inspired Video Class-Incremental LearningJinqiang Long, Yizhao Gao, Zhiwu Lu 0001. 1181-1186 [doi]
• FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental RegularizationQianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath, Daning Bi. 1187-1192 [doi]
• Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality AssessmentYiwei Lou, Yanyuan Chen, Dexuan Xu, Doudou Zhou, Yongzhi Cao, Hanpin Wang, Yu Huang 0004. 1193-1198 [doi]
• Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all LengthsYue Lu, Thirumalai Vinjamoor Akhil Srinivas, Takaaki Nakamura, Makoto Imamura, Eamonn J. Keogh. 1199-1204 [doi]
• Hypergraph Contrastive Learning for Drug Trafficking Community DetectionTianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye 0001. 1205-1210 [doi]
• Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaProRui Mao 0010, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria. 1211-1216 [doi]
• Multi-Dictionary Tensor DecompositionMaxwell McNeil, Petko Bogdanov. 1217-1222 [doi]
• Uncertainty-aware Traffic Prediction under Missing DataHao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei 0001. 1223-1228 [doi]
• PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary GraphRan Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao. 1229-1234 [doi]
• A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous GraphsCaihong Mu, Heyuan Huang, Yunfei Fang, Yi Liu. 1235-1240 [doi]
• Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?Ngoc Dang Nguyen, Wei Tan, Lan Du 0002, Wray L. Buntine, Richard Beare, Changyou Chen. 1241-1246 [doi]
• Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial DataPatrick Asante Owusu, Etienne Gael Tajeuna, Jean-Marc Patenaude, Armelle Brun, Shengrui Wang. 1247-1252 [doi]
• PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly DetectionJunJun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan. 1253-1258 [doi]
• Two-Level Graph Representation Learning with Community-as-a-Node GraphsJeongha Park, Kisung Lee, Hyuk-Yoon Kwon. 1259-1264 [doi]
• FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate ControlPaolo Pellizzoni, Karsten M. Borgwardt. 1265-1270 [doi]
• Attacking c-MARL More Effectively: A Data Driven ApproachNhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng. 1271-1276 [doi]
• Enhancing Social Recommendation with Multi-View BERT NetworkTushar Prakash, Raksha Jalan, Naoyuki Onoe. 1277-1282 [doi]
• Handling New Class in Online Label ShiftYuyang Qian, Yong Bai, Zhen-yu Zhang, Peng Zhao, Zhi-Hua Zhou. 1283-1288 [doi]
• SGD Biased towards Early Important Samples for Efficient TrainingAlessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent. 1289-1294 [doi]
• Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray RecognitionHoon Seo, Hua Wang 0007. 1295-1300 [doi]
• On the Verification of Embeddings with Hybrid Markov LogicAnup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal. 1301-1306 [doi]
• Early Spatiotemporal Event Prediction via Adaptive Controller and Spatiotemporal EmbeddingWei Shao 0006, Ziyan Peng, Yufan Kang, Xiao Xiao, Zhiling Jin. 1307-1312 [doi]
• MTT-DynGL: Towards Multidimensional Topology-oriented Time-series Dynamic Graphs Learning ModelChen Shi, Yujie Mao, Yiding Shen, Wenli Xiong, Feng Liu, Chenhui Li, Changbo Wang. 1313-1318 [doi]
• Session-based Interactive Recommendation via Deep Reinforcement LearningLongxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, Shijian Li. 1319-1324 [doi]
• Robustness-enhanced Uplift Modeling with Adversarial Feature DesensitizationZexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma 0001, Dugang Liu. 1325-1330 [doi]
• Rule Mining for Correcting Classification ModelsHirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Yuta Fujishige, Satoshi Hara 0001. 1331-1336 [doi]
• Natural Language Generation Meets Data Visualization: Vis-to-Text and its Duality with Text-to-VisYuanfeng Song, Xiaoling Huang, Xuefang Zhao, Raymond Chi-Wing Wong. 1337-1342 [doi]
• Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge DistillationQiaoyu Tan, Daochen Zha, Ninghao Liu, Soo Hyun Choi, Li Li 0035, Rui Chen 0012, Xia Hu. 1343-1348 [doi]
• Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and ProgressionYanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu 0005, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang 0001. 1349-1354 [doi]
• CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in RecommendationJun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang. 1355-1360 [doi]
• Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor FactorizationMaolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao 0001. 1361-1366 [doi]
• Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction LearningRuifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng 0004. 1367-1372 [doi]
• GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing ModellingTianxing Wang, Can Wang 0004, Hui Tian 0001, Hong Shen 0001. 1373-1378 [doi]
• Distribution-Based Trajectory ClusteringZi Jing Wang, Ye Zhu 0002, Kai Ming Ting. 1379-1384 [doi]
• Momentum is All You Need for Data-Driven Adaptive OptimizationYizhou Wang 0006, Yue Kang 0002, Can Qin, Huan Wang 0014, Yi Xu 0005, Yulun Zhang, Yun Fu 0001. 1385-1390 [doi]
• Counterfactual Explanations for Time Series ForecastingZhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou. 1391-1396 [doi]
• Can Neural Networks Distinguish High-school Level Mathematical Concepts?Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho. 1397-1402 [doi]
• Model Cloaking against Gradient LeakageWenqi Wei, Ka Ho Chow, Fatih Ilhan, Yanzhao Wu 0001, Ling Liu. 1403-1408 [doi]
• Compatible Transformer for Irregularly Sampled Multivariate Time SeriesYuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen. 1409-1414 [doi]
• To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked DataHechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Kai Zheng 0001, Hongzhi Yin. 1415-1420 [doi]
• SOAC: Supervised Off-Policy Actor-Critic for Recommender SystemsShiqing Wu, Guandong Xu, Xianzhi Wang 0001. 1421-1426 [doi]
• Graph Collaborative Optimization for Sequential RecommendationChunjing Xiao, Yan Shen, Yuxiang Zhang, Shijie Li. 1427-1432 [doi]
• GCFormer: Granger Causality based Attention Mechanism for Multivariate Time Series Anomaly DetectionShiwang Xing, Jianwei Niu 0002, Tao Ren 0001. 1433-1438 [doi]
• Exact-Fun: An Exact and Efficient Federated Unlearning ApproachZuobin Xiong, Wei Li 0059, Yingshu Li, Zhipeng Cai 0001. 1439-1444 [doi]
• Graph Neural Ordinary Differential Equations-based method for Collaborative FilteringKe Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu. 1445-1450 [doi]
• Non-Negative Matrix Factorization for Link Prediction Preserving Row and Column SpacesLiping Yan, Weiren Yu. 1451-1456 [doi]
• An Impact Study of Concept Drift in Federated LearningGuanhui Yang, Xiaoting Chen, Tengsen Zhang, Shuo Wang, Yun Yang. 1457-1462 [doi]
• Graph Reciprocal Neural Networks by Abstracting Node as AttributeLiang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang 0004. 1463-1468 [doi]
• Graph Open-Set Recognition via Entropy Message PassingLina Yang, Bin Lu 0005, Xiaoying Gan. 1469-1474 [doi]
• Continual Semantic Segmentation via Scalable Contrastive Clustering and Background DiversityQi Yang, Xing Nie, Linsu Shi, Jiazhong Yu, Fei Li, Shiming Xiang. 1475-1480 [doi]
• Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender SystemsShiyi Yang, Lina Yao 0001, Chen Wang, Xiwei Xu 0001, Liming Zhu 0001. 1481-1486 [doi]
• Homogeneous Entity Context Enhanced Representation Network for Temporal Knowledge Graph ReasoningYujia Yang, Conghui Zheng, Li Pan. 1487-1492 [doi]
• Fact-Preserved Personalized News Headline GenerationZhao Yang, Junhong Lian, Xiang Ao 0001. 1493-1498 [doi]
• Spatio-Temporal Hypergraph Neural ODE Network for Traffic ForecastingChengzhi Yao, Zhi Li, Junbo Wang. 1499-1504 [doi]
• Concentric Ring Loss for Face Forgery DetectionYu Yin, Yue Bai, Yizhou Wang, Yun Fu. 1505-1510 [doi]
• Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge EnhancementWenxuan Yu, Chenzhong Bin, Wenqiang Liu, Liang Chang 0003. 1511-1516 [doi]
• Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-LengthRyo Yuki, Atsushi Suzuki, Kenji Yamanishi. 1517-1522 [doi]
• Enhancing GNN-based Fraud Detector via Semantic Extraction and Max-Representation-MarginBingzhe Zhang, Xinye Wang, Zhenyang Yu, Yuanhao Zhang, Chengxin He, Song Deng, Zhaohang Luo, Lei Duan. 1523-1528 [doi]
• Unfairness in Distributed Graph FrameworksHao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan. 1529-1534 [doi]
• On Regularized Sparse Logistic RegressionMengyuan Zhang 0002, Kai Liu. 1535-1540 [doi]
• Enhancing Bug Localization through Bug Report SummarizationXia Zhang, Ziye Zhu, Yun Li. 1541-1546 [doi]
• Learning Efficient Unsupervised Satellite Image-based Building Damage DetectionYiyun Zhang, Zijian Wang, Yadan Luo, Xin Yu 0002, Zi Huang. 1547-1552 [doi]
• Bayesian A/B Testing with CovariatesYuanyu Zhang, Cheng Qian, Wenhang Bao. 1553-1558 [doi]
• Prediction in Long-term Evolution: Exploiting the Interaction Between Urban Crowd Flow Variation and POI Transition PatternsZhe Zheng, Jingjing Gu, Qiang Zhou, Xinjiang Lu. 1559-1564 [doi]
• STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic ForecastingGuanghui Zhu, Haojun Hou, Peiliang Wang, Chunfeng Yuan, Yihua Huang 0001. 1565-1570 [doi]
• Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content UnderstandingYufei Zhu, Chaoyue Niu, Yikai Yan, Zhijie Cao, Hao Jiang, Chengfei Lyu, Shaojie Tang 0001, Fan Wu. 1571-1576 [doi]
• On Computing Paradigms - Where Will Large Language Models Be GoingXindong Wu 0001, Xingquan Zhu 0001, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang. 1577-1582 [doi]
• PatternRCA: A Pattern-Aware Root Cause Analysis Framework for Multi-Dimensional Time SeriesCheng He, Fulong Tian, Peijiao Xue, Yuan Wu, Yao Li, Jiajia Li, Zikai Wang, Feng Tan, Hongyang Chen, Linghe Kong. 1583-1592 [doi]