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ORCID23rd ICDM 2023: Shanghai, China
- Guihai Chen, Latifur Khan, Xiaofeng Gao, Meikang Qiu, Witold Pedrycz, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0788-7 - Amir Abolfazli
, Jakob Spiegelberg, Gregory Palmer, Avishek Anand:
A Deep Reinforcement Learning Approach to Configuration Sampling Problem. 1-10 - Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu:
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. 11-20 - Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. 21-30 - Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao:
Graph Self-Contrast Representation Learning. 31-40 - Peng Chen, Jirui Yang, Junxiong Lin, Zhihui Lu, Qiang Duan, Hongfeng Chai:
A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning. 41-50 - Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng:
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. 51-60 - Haipeng Dai, Hancheng Wang, Zhipeng Chen, Jiaqi Zheng, Meng Li, Rong Gu, Chen Tian, Wanchun Dou:
Variable-length Encoding Framework: A Generic Framework for Enhancing the Accuracy of Approximate Membership Queries. 61-70 - Rui Ding, Xiaochun Yang, Bin Wang:
Themis: Detecting Anomalies from Disguised Normal Financial Activities. 71-80 - Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao:
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. 81-90 - Yali Du, Yi-Fan Ma, Zheng Xie, Ming Li:
Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation. 91-100 - Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. 101-109 - Nicolò Fassina, Francesco Ranzato, Marco Zanella:
Robustness Certification of k-Nearest Neighbors. 110-119 - Pengzhan Guo, Keli Xiao, Hengshu Zhu, Qingxin Meng:
Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model. 120-129 - Zongzhi Han, Zhonghong Ou, Yifan Zhu, Xiaodong Li, Meina Song:
FM-IGNN: Interaction Graph Neural Network with Fine-grained Matching for Session-based Recommendation. 130-139 - Malik Khizar Hayat, Shan Xue, Jian Yang:
Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification. 140-149 - Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. 150-159 - Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang:
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. 160-169 - Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming:
Cascaded Cross Attention for Review-based Sequential Recommendation. 170-179 - Matthias Jakobs, Amal Saadallah:
Explainable Adaptive Tree-based Model Selection for Time-Series Forecasting. 180-189 - Xinzhou Jin, Jintang Li, Yuanzhen Xie, Liang Chen, Beibei Kong, Lei Cheng, Bo Hu, Zang Li, Zibin Zheng:
Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding. 190-199 - Achir Kalra, Chong Wang, Cristian Borcea, Yi Chen:
Reserve Price optimization in First-Price Auctions via Multi-Task Learning. 200-209 - Domokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr:
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis. 210-219 - Patrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco:
Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield Prediction. 220-228 - Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin:
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions. 229-238 - Loong Kuan Lee, Geoffrey I. Webb, Daniel F. Schmidt, Nico Piatkowski:
Computing Marginal and Conditional Divergences between Decomposable Models with Applications. 239-248 - Hao Li, Hao Jiang, Haoran Xian, Qimei Chen:
Federated Learning for Privacy-Preserving Prediction of Occupational Group Mobility Using Multi-Source Mobile Data. 249-258 - Jiaye Li, Hang Xu, Hao Yu, Weixin Li, Shichao Zhang:
Anti-Noise Muiti-View Feature Selection With Sample Constraints. 259-268 - Kang Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang:
Hypergraph Attribute Attention Network for Community Recommendation. 269-278 - Peiyan Li, Liming Pan, Kai Li, Claudia Plant, Christian Böhm:
Interpretable Subgraph Feature Extraction for Hyperlink Prediction. 279-288 - Xiangyu Li, Armand Ovanessians, Hua Wang:
Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs. 289-298 - Xiang-Long Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang:
Auto Graph Filtering for Bundle Recommendation. 299-308 - Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong:
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. 309-318 - Yanjin Li, Linchuan Xu, Kenji Yamanishi:
GMMDA: Gaussian Mixture Modeling of Graph in Latent Space for Graph Data Augmentation. 319-328 - Yawei Li, Zhao Zhang, Suiyi Zhao, Jicong Fan, Haijun Zhang, Mingliang Xu:
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution. 329-338 - Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin:
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. 339-348 - Yunfei Li, Lu Chen, Chengfei Liu, Rui Zhou, Jianxin Li:
Efficient and Effective Entity Alignment for Evolving Temporal Knowledge Graphs. 349-358 - Yupeng Li, Dacheng Wen, Haorui He, Jianxiong Guo, Xuan Ning, Francis C. M. Lau:
Contextual Target-Specific Stance Detection on Twitter: Dataset and Method. 359-367 - Fei-Yao Liang, Fei-Peng Li, Ronghai Xu, Wei Cheng, Shi-Xian Deng, Zhe-Rui Yang, Chang-Dong Wang:
Telecom Fraud Detection Based on Feature Binning and Autoencoder. 368-377 - Xurong Liang, Tong Chen, Quoc Viet Hung Nguyen, Jianxin Li, Hongzhi Yin:
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. 378-387 - Zibo Liang, Xu Chen, Yan Zhao, Jiandong Xie, Kai Zeng, Kai Zheng:
Efficient Cardinality and Cost Estimation with Bidirectional Compressor-based Ensemble Learning. 388-397 - Weijia Lin, Jiankun Wang, Lu Sun, Mineichi Kudo, Keigo Kimura:
Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization. 398-407 - Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu:
IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. 408-417 - Peishuo Liu, Cangqi Zhou, Jing Zhang, Qianmu Li, Dianming Hu:
Hierarchical Graph Contrastive Learning via Debiasing Noise Samples with Adaptive Repelling Ratio. 418-427 - Shenghao Liu, Guoyang Wu, Xianjun Deng, Hongwei Lu, Bang Wang, Laurence T. Yang, James J. Park:
Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute Removal. 428-437 - Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming:
Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. 438-447 - Yi-Hong Lu, Chang-Dong Wang, Pei-Yuan Lai, Jian-Huang Lai:
PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation. 448-457 - Jinyuan Luo, Zikai Xiao, Wen Shi, Linhai Xie, Hong Yang, Xiaoxia Yin, Yanchun Zhang:
CVaDeS: A Conditional Variational Deep Survival Model for Survival Analysis. 458-467 - Yang Luo, Zehao Gu, Shiyang Zhou, Yun Xiong, Xiaofeng Gao:
Meteorology-Assisted Spatio-Temporal Graph Network for Uncivilized Urban Event Prediction. 468-477 - Zhenghong Luo, Qian Wang, Haomai Wang, Tianshan Qu, Meng Li, Rong Gu, Haipeng Dai:
MoonKV: Optimizing Update-intensive Workloads for NVM-based Key-value Stores. 478-487 - Kang Miao, Zhao Zhang, Jiahuan Ren, Mingbo Zhao, Haijun Zhang, Richang Hong:
Adaptive Student Inference Network for Efficient Single Image Super-Resolution. 488-497 - Jingkai Peng, Fei Xiong, Shirui Pan, Liang Wang, Xi Xiong:
Robust Network Alignment with the Combination of Structure and Attribute Embeddings. 498-507 - Yixuan Qiu, Weitong Chen, Miao Xu:
A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access. 508-517 - Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel:
DSG: An End-to-End Document Structure Generator. 518-527 - Lina Ren, Ruizhang Huang, Shengwei Ma, Yongbin Qin, Yanping Chen, Chuan Lin:
Deep Multi-kernel Clustering Network. 528-537 - Yulong Song, Bin Fu, Jianxiong Guo, Xiaofeng Gao:
Interactive Activities Initiation through Retrieving Hidden Social Information Networks. 538-547 - Ting-Ting Su, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang:
MCRec: Multi-channel Gated Gifts Recommendation. 548-557 - Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu:
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. 558-567 - Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn J. Keogh:
Matrix Profile XXIX: C22MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector. 568-577 - Keke Tang, Xujian Cai, Weilong Peng, Daizong Liu, Peican Zhu, Pan Zhou, Zhihong Tian, Wenping Wang:
Matching Words for Out-of-distribution Detection. 578-587 - Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. 588-597 - Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen:
Differentiable Bayesian Structure Learning with Acyclicity Assurance. 598-607 - Minh-Hao Van, Alycia N. Carey, Xintao Wu:
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. 608-617 - Minh N. Vu, My T. Thai:
Limitations of Perturbation-based Explanation Methods for Temporal Graph Neural Networks. 618-627 - Shuo Wang, Keke Gai, Jing Yu, Liehuang Zhu:
BDVFL: Blockchain-based Decentralized Vertical Federated Learning. 628-637 - Zichong Wang, Giri Narasimhan, Xin Yao, Wenbin Zhang:
Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. 638-647 - Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. 648-657 - Wenjuan Xi, Xin Song, Weili Guo, Yang Yang:
Robust Semi-Supervised Learning for Self-learning Open-World Classes. 658-667 - Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, Shuigeng Zhou:
Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance. 668-677 - Haolong Xiang, Xuyun Zhang, Mark Dras, Amin Beheshti, Wanchun Dou, Xiaolong Xu:
Deep Optimal Isolation Forest with Genetic Algorithm for Anomaly Detection. 678-687 - Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. 688-697 - Borui Xu, Zeyi Wen, Lifeng Yan, Zhan Zhao, Zekun Yin, Weiguo Liu, Bingsheng He:
Leveraging Data Density and Sparsity for Efficient SVM Training on GPUs. 698-707 - Honghui Xu, Zhipeng Cai, Zuobin Xiong, Wei Li:
Backdoor Attack on 3D Grey Image Segmentation. 708-717 - Bin Yang, Tianmu Sha, Ying Xing, Ziyang Wang, Zhipu Xie, Xin Wang:
ConvAOA: A Convolutional Attention Over Attention Model for Click-Through Rate Prediction. 718-727 - Shenghao Yang, Chenyang Wang, Yankai Liu, Kangping Xu, Weizhi Ma, Yiqun Liu, Min Zhang, Haitao Zeng, Junlan Feng, Chao Deng:
Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation. 728-737 - Kai-Lang Yao, Wu-Jun Li:
Context Sketching for Memory-efficient Graph Representation Learning. 738-747 - Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu:
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing. 748-757 - Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau:
MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction. 758-767 - Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He:
Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. 768-777 - Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao:
Infinitely Deep Graph Transformation Networks. 778-787 - Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao:
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing. 788-797 - Qingjie Zhang, Maosen Zhang, Han Qiu, Tianwei Zhang, Mounira Msahli, Gérard Memmi:
ATTA: Adversarial Task-transferable Attacks on Autonomous Driving Systems. 798-807 - Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen:
Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. 808-817 - Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang:
Distributional Cloning for Stabilized Imitation Learning via ADMM. 818-827 - Yan Zhang, Cheng Chen, Dian Shen, Meng Wang, Beilun Wang:
Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module. 828-837 - Yishuo Zhang, Nayyar Abbas Zaidi, Gang Li, Wray L. Buntine:
MEG: Masked Ensemble Tabular Data Generator. 838-847 - Yufeng Zhang, Mengxiang Wang, Jianxing Yu:
Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints Knowledge. 848-857 - Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu:
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. 858-867 - Zhenyu Zhang, Wenwen Qu, Weixi Zhang, Junlin Shang, Xiaoling Wang:
A Mixed-State Streaming Edge Partitioning based on Combinatorial Design. 868-877 - Jiaqi Zheng, Hedi Gao, Haipeng Dai, Zhenzhe Zheng, Fan Wu:
Neural Contextual Combinatorial Bandit under Non-stationary Environment. 878-887 - Xinyi Zhou, Jipeng Jin, Li Ma, Xiaofeng Gao, Jianbo Yang, Xiongwen Yang, Lei Xiao:
SCRIPT: Sequential Cross-Meta-Information Recommendation in Pretrain and Prompt Paradigm. 888-897 - Nengjun Zhu, Jieyun Huang, Jian Cao, Xinjiang Lu, Hao Liu, Hui Xiong:
MtiRec: A Medical Test Recommender System based on the Analysis of Treatment Programs. 898-907 - Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, Shengwei Ji, Yi He, Xindong Wu:
IKGN: Intention-aware Knowledge Graph Network for POI Recommendation. 908-917 - Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard:
Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. 918-923 - Adeem Ali Anwar, Xuyun Zhang:
Reinforcement Learning based Hyper-heuristics for Many-objective Pickup and Delivery Problem. 924-929 - Xing Bao, Huan Zheng, Zhao Zhang, Zhengjun Zha, Meng Wang:
Hierarchical Context Modeling Network for Landmark Recognition. 930-937 - Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Stochastic Integrated Explanations for Vision Models. 938-943 - Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein:
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. 944-949 - Tien-Cuong Bui, Wen-Syan Li:
Toward Interpretable Graph Neural Networks via Concept Matching Model. 950-955 - Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. 956-961 - Runlin Cao, Zhixin Li:
Balancing and Contrasting Biased Samples for Debiased Visual Question Answering. 962-967 - Zhi Cao, Shuyi Zhang, Chin-Teng Lin:
Online Ensemble of Ensemble OVA Framework for Class Evolution with Dominant Emerging Classes. 968-973 - Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu:
Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. 974-979 - Nan Cui, Xiuling Wang, Wendy Hui Wang, Violet Chen, Yue Ning:
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness. 980-985 - Dhruv Deshmukh, Gagan Raj Gupta, Manisha Chawla, Vishwesh Jatala, Anirban Haldar:
Entropy Aware Training for Fast and Accurate Distributed GNN. 986-991 - Dongxu Fan, Xuanzhi Feng, Jinghe Jiang, Yuming Jiang, Le Zhang, Dasha Hu:
A TSICN-based Inferential Synthesis Method for Class Imbalance in Credit Scoring. 992-997 - Jiansheng Fang, Jiajian Li:
Concordance Learning with Spectral Decay on Triplet Similarity. 998-1003 - Wanjin Feng, Hailong Shi, Peilin Zhao, Xingyu Gao:
Mixtron: Bandit Online Multiclass Prediction with Implicit Feedback. 1004-1012 - Xiushi Feng, Shuncheng Liu, Haitian Chen, Kai Zheng:
Continual Trajectory Prediction with Uncertainty-Aware Generative Memory Replay. 1013-1018 - Sichao Fu, Qinmu Peng, Yang He, Baokun Du, Xinge You:
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing. 1019-1024 - Shintaro Fukushima, Kenji Yamanishi:
Balancing Summarization and Change Detection in Graph Streams. 1025-1030 - Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo:
SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series. 1031-1036 - Liad Giladi, Gilad Katz:
Feedback Decision Transformer: Offline Reinforcement Learning With Feedback. 1037-1042 - Camilo Gomez, Pengyang Wang, Yanjie Fu:
Metric-agnostic Learning-to-Rank via Boosting and Rank Approximation. 1043-1048 - Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui:
RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph. 1049-1054 - Jiayu He, Matloob Khushi, Tung-Anh Nguyen, Nguyen Hoang Tran:
Fed-mSSA: A Federated Approach for Spatio-Temporal Data Modeling Using Multivariate Singular Spectrum Analysis. 1055-1060 - Siyin Huang, Shaoyuan Li, Songcan Chen:
Personalized Federated Semi-Supervised Learning with Black-Box Models. 1061-1066 - Makoto Imamura, Takaaki Nakamura:
A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif. 1067-1072 - Lanfang Kong, Alexis Huet, Dario Rossi, Mauro Sozio:
Tree-based Kendall's τ Maximization for Explainable Unsupervised Anomaly Detection. 1073-1078 - Seungyeon Lee, Ruoqi Liu, Wenyu Song, Ping Zhang:
Heterogeneous Treatment Effect Estimation with Subpopulation Identification for Personalized Medicine in Opioid Use Disorder. 1079-1084 - Haoran Li, Yang Weng:
PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial Network. 1085-1090 - Junliang Li, Yajun Yang, Qinghua Hu, Xin Wang, Hong Gao:
Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks. 1091-1096 - Liang Li, Weiwei Sun:
Multi-Hop Correlation Preserving Hashing for Efficient Hamming Space Retrieval. 1097-1102 - Mingyi Li, Xiao Zhang, Haochao Ying, Yang Li, Xu Han, Dongxiao Yu:
Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes. 1103-1108 - Pengyue Li, Hua Dai, Yu Chen, Bohan Li, Geng Yang:
Efficient Multi-source Contact Event Query Processing for Moving Objects. 1109-1114 - Quan Li, Lingwei Chen, Shixiong Jing, Dinghao Wu:
Pseudo-Labeling with Graph Active Learning for Few-shot Node Classification. 1115-1120 - Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu:
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. 1121-1126 - Xiangyu Li, Armand Ovanessians, Hua Wang:
Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization. 1127-1132 - Xin-Yi Li, Yu-Bin Yang:
GAFNO: Gated Adaptive Fourier Neural Operator for Task-Agnostic Time Series Modeling. 1133-1138 - Zhaohao Lin, Weike Pan, Zhong Ming:
Privacy-Preserving Cross-Domain Sequential Recommendation. 1139-1144 - Linbo Liu, Trong Nghia Hoang, Lam M. Nguyen, Tsui-Wei Weng:
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches. 1145-1150 - Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen:
Decision-focused Graph Neural Networks for Graph Learning and Optimization. 1151-1156 - Yilun Liu, Ruihong Qiu, Zi Huang:
CaT: Balanced Continual Graph Learning with Graph Condensation. 1157-1162 - Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang:
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. 1163-1168 - Zhaoyu Liu, Kan Jiang, Zhe Hou, Yun Lin, Jin Song Dong:
Insight Analysis for Tennis Strategy and Tactics. 1169-1174 - Zheng Liu, Xiaohan Li, Philip S. Yu:
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder. 1175-1180 - Jinqiang Long, Yizhao Gao, Zhiwu Lu:
Mixup-Inspired Video Class-Incremental Learning. 1181-1186 - Qianyu Long, Christos Anagnostopoulos, Shameem Puthiya Parambath, Daning Bi:
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization. 1187-1192 - Yiwei Lou, Yanyuan Chen, Dexuan Xu, Doudou Zhou, Yongzhi Cao, Hanpin Wang, Yu Huang:
Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment. 1193-1198 - Yue Lu, Thirumalai Vinjamoor Akhil Srinivas, Takaaki Nakamura, Makoto Imamura, Eamonn J. Keogh:
Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths. 1199-1204 - Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye:
Hypergraph Contrastive Learning for Drug Trafficking Community Detection. 1205-1210 - Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria:
Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro. 1211-1216 - Maxwell McNeil, Petko Bogdanov:
Multi-Dictionary Tensor Decomposition. 1217-1222 - Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei:
Uncertainty-aware Traffic Prediction under Missing Data. 1223-1228 - Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao:
PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. 1229-1234 - Caihong Mu, Heyuan Huang, Yunfei Fang, Yi Liu:
A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs. 1235-1240 - Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen:
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? 1241-1246 - Patrick Asante Owusu, Etienne Gael Tajeuna, Jean-Marc Patenaude, Armelle Brun, Shengrui Wang:
Rethinking Temporal Dependencies in Multiple Time Series: A Use Case in Financial Data. 1247-1252 - Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan:
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. 1253-1258 - Jeongha Park, Kisung Lee, Hyuk-Yoon Kwon:
Two-Level Graph Representation Learning with Community-as-a-Node Graphs. 1259-1264 - Paolo Pellizzoni, Karsten M. Borgwardt:
FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate Control. 1265-1270 - Nhan H. Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Tsui-Wei Weng:
Attacking c-MARL More Effectively: A Data Driven Approach. 1271-1276 - Tushar Prakash, Raksha Jalan, Naoyuki Onoe:
Enhancing Social Recommendation with Multi-View BERT Network. 1277-1282 - Yu-Yang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou:
Handling New Class in Online Label Shift. 1283-1288 - Alessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent:
SGD Biased towards Early Important Samples for Efficient Training. 1289-1294 - Hoon Seo, Hua Wang:
Fast Multi-Modal Multi-Instance Support Vector Machine for Fine-grained Chest X-ray Recognition. 1295-1300 - Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal:
On the Verification of Embeddings with Hybrid Markov Logic. 1301-1306 - Wei Shao, Ziyan Peng, Yufan Kang, Xiao Xiao, Zhiling Jin:
Early Spatiotemporal Event Prediction via Adaptive Controller and Spatiotemporal Embedding. 1307-1312 - Chen Shi, Yujie Mao, Yiding Shen, Wenli Xiong, Feng Liu, Chenhui Li, Changbo Wang:
MTT-DynGL: Towards Multidimensional Topology-oriented Time-series Dynamic Graphs Learning Model. 1313-1318 - Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, Shijian Li:
Session-based Interactive Recommendation via Deep Reinforcement Learning. 1319-1324 - Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu:
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. 1325-1330 - Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Yuta Fujishige, Satoshi Hara:
Rule Mining for Correcting Classification Models. 1331-1336 - Yuanfeng Song, Xiaoling Huang, Xuefang Zhao, Raymond Chi-Wing Wong:
Natural Language Generation Meets Data Visualization: Vis-to-Text and its Duality with Text-to-Vis. 1337-1342 - Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu:
Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. 1343-1348 - Yanchao Tan, Zihao Zhou, Leisheng Yu, Weiming Liu, Chaochao Chen, Guofang Ma, Xiao Hu, Vicki Stover Hertzberg, Carl Yang:
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. 1349-1354 - Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang:
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. 1355-1360 - Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. 1361-1366 - Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng:
Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. 1367-1372 - Tianxing Wang, Can Wang, Hui Tian, Hong Shen:
GeoMixer: The MLP-Based Sequential POI Recommender with Travel Routing Modelling. 1373-1378 - Zijing Wang, Ye Zhu, Kai Ming Ting:
Distribution-Based Trajectory Clustering. 1379-1384 - Yizhou Wang, Yue Kang, Can Qin, Huan Wang, Yi Xu, Yulun Zhang, Yun Fu:
Momentum is All You Need for Data-Driven Adaptive Optimization. 1385-1390 - Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou:
Counterfactual Explanations for Time Series Forecasting. 1391-1396 - Sebastian Wankerl, Andrzej Dulny, Gerhard Götz, Andreas Hotho:
Can Neural Networks Distinguish High-school Level Mathematical Concepts? 1397-1402 - Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu:
Model Cloaking against Gradient Leakage. 1403-1408 - Yuxi Wei, Juntong Peng, Tong He, Chenxin Xu, Jian Zhang, Shirui Pan, Siheng Chen:
Compatible Transformer for Irregularly Sampled Multivariate Time Series. 1409-1414 - Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin:
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data. 1415-1420 - Shiqing Wu, Guandong Xu, Xianzhi Wang:
SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. 1421-1426 - Chunjing Xiao, Yan Shen, Yuxiang Zhang, Shijie Li:
Graph Collaborative Optimization for Sequential Recommendation. 1427-1432 - Shiwang Xing, Jianwei Niu, Tao Ren:
GCFormer: Granger Causality based Attention Mechanism for Multivariate Time Series Anomaly Detection. 1433-1438 - Zuobin Xiong, Wei Li, Yingshu Li, Zhipeng Cai:
Exact-Fun: An Exact and Efficient Federated Unlearning Approach. 1439-1444 - Ke Xu, Yuanjie Zhu, Weizhi Zhang, Philip S. Yu:
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering. 1445-1450 - Liping Yan, Weiren Yu:
Non-Negative Matrix Factorization for Link Prediction Preserving Row and Column Spaces. 1451-1456 - Guanhui Yang, Xiaoting Chen, Tengsen Zhang, Shuo Wang, Yun Yang:
An Impact Study of Concept Drift in Federated Learning. 1457-1462 - Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang:
Graph Reciprocal Neural Networks by Abstracting Node as Attribute. 1463-1468 - Lina Yang, Bin Lu, Xiaoying Gan:
Graph Open-Set Recognition via Entropy Message Passing. 1469-1474 - Qi Yang, Xing Nie, Linsu Shi, Jiazhong Yu, Fei Li, Shiming Xiang:
Continual Semantic Segmentation via Scalable Contrastive Clustering and Background Diversity. 1475-1480 - Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu:
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. 1481-1486 - Yujia Yang, Conghui Zheng, Li Pan:
Homogeneous Entity Context Enhanced Representation Network for Temporal Knowledge Graph Reasoning. 1487-1492 - Zhao Yang, Junhong Lian, Xiang Ao:
Fact-Preserved Personalized News Headline Generation. 1493-1498 - Chengzhi Yao, Zhi Li, Junbo Wang:
Spatio-Temporal Hypergraph Neural ODE Network for Traffic Forecasting. 1499-1504 - Yu Yin, Yue Bai, Yizhou Wang, Yun Fu:
Concentric Ring Loss for Face Forgery Detection. 1505-1510 - Wenxuan Yu, Chenzhong Bin, Wenqiang Liu, Liang Chang:
Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement. 1511-1516 - Ryo Yuki, Atsushi Suzuki, Kenji Yamanishi:
Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length. 1517-1522 - Bingzhe Zhang, Xinye Wang, Zhenyang Yu, Yuanhao Zhang, Chengxin He, Song Deng, Zhaohang Luo, Lei Duan:
Enhancing GNN-based Fraud Detector via Semantic Extraction and Max-Representation-Margin. 1523-1528 - Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan:
Unfairness in Distributed Graph Frameworks. 1529-1534 - Mengyuan Zhang, Kai Liu:
On Regularized Sparse Logistic Regression. 1535-1540 - Xia Zhang, Ziye Zhu, Yun Li:
Enhancing Bug Localization through Bug Report Summarization. 1541-1546 - Yiyun Zhang, Zijian Wang, Yadan Luo, Xin Yu, Zi Huang:
Learning Efficient Unsupervised Satellite Image-based Building Damage Detection. 1547-1552 - Yuanyu Zhang, Cheng Qian, Wenhang Bao:
Bayesian A/B Testing with Covariates. 1553-1558 - Zhe Zheng, Jingjing Gu, Qiang Zhou, Xinjiang Lu:
Prediction in Long-term Evolution: Exploiting the Interaction Between Urban Crowd Flow Variation and POI Transition Patterns. 1559-1564 - Guanghui Zhu, Haojun Hou, Peiliang Wang, Chunfeng Yuan, Yihua Huang:
STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting. 1565-1570 - Yufei Zhu, Chaoyue Niu, Yikai Yan, Zhijie Cao, Hao Jiang, Chengfei Lyu, Shaojie Tang, Fan Wu:
Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content Understanding. 1571-1576 - Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang:
On Computing Paradigms - Where Will Large Language Models Be Going. 1577-1582 - Cheng He, Fulong Tian, Peijiao Xue, Yuan Wu, Yao Li, Jiajia Li, Zikai Wang, Feng Tan, Hongyang Chen, Linghe Kong:
PatternRCA: A Pattern-Aware Root Cause Analysis Framework for Multi-Dimensional Time Series. 1583-1592
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