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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,