ICDM

Keyphrases

Publications

2022

Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. ICDM (2022)
Yue Liu, Yun Li
Robustness May be at Odds with Stability in Adversarial Training based Feature Selection? ICDM (2022)
Chowdhury Mohammad Rakin Haider, Chris Clifton, Yan Zhou
Unfair AI: It Isn't Just Biased Data. ICDM (2022)
Masahiro Kiji, D. M. Hasibul Hasan, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari
Near-Optimal Spectral Disease Mitigation in Healthcare Facilities. ICDM (2022)
Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. ICDM (2022)
Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. ICDM (2022)
Xu Chen
Robust Structure-aware Semi-supervised Learning. ICDM (2022)
Ke Xu, Ziliang Wang, Wei Zheng, Yuhao Ma, Chenglin Wang, Nengxue Jiang, Cai Cao
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning. ICDM (2022)
Zhenning Yu, Xin Liu, Yiu-Ming Cheung, Minghang Zhu, Xing Xu, Nannan Wang, Taihao Li
Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching. ICDM (2022)
Pengxiang Shi, Xuan Dang, Wenwen Ye, Zhipeng Li, Zheng Qin
MRM2: Multi-Relationship Modeling Module for Multivariate Time Series Classification. ICDM (2022)
Ricky Laishram, Sucheta Soundarajan
On Finding and Analyzing the Backbone of the k-Core Structure of a Graph. ICDM (2022)
Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal
DAGAD: Data Augmentation for Graph Anomaly Detection. ICDM (2022)
Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr
THINK: Temporal Hypergraph Hyperbolic Network. ICDM (2022)
Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling. ICDM (2022)
Xinyi Wu, Arnab Sarker, Ali Jadbabaie
Link Partitioning on Simplicial Complexes Using Higher-Order Laplacians. ICDM (2022)
Yuting Feng, Bogdan Cautis
IGNiteR: News Recommendation in Microblogging Applications. ICDM (2022)
Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
Federated Fingerprint Learning with Heterogeneous Architectures. ICDM (2022)
Dingwen Li, Bing Xue, Christopher R. King, Bradley A. Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu
Self-explaining Hierarchical Model for Intraoperative Time Series. ICDM (2022)
Yang Zhang, Gengmo Zhou, Zhewei Wei, Hongteng Xu
Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. ICDM (2022)
Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
One Person, One Model - Learning Compound Router for Sequential Recommendation. ICDM (2022)
Ka Ho Chow, Ling Liu
Boosting Object Detection Ensembles with Error Diversity. ICDM (2022)
Mengyuan Zhang, Kai Liu
Rethinking Symmetric Matrix Factorization: A More General and Better Clustering Perspective. ICDM (2022)
Ryan Wickman, Xiaofei Zhang, Weizi Li
A Generic Graph Sparsification Framework using Deep Reinforcement Learning. ICDM (2022)
Qingyan Zhu, Yize Chen, Hao Wang, Zhenyu Zeng, Hao Liu
A Knowledge-Enhanced Framework for Imitative Transportation Trajectory Generation. ICDM (2022)
Shaogang Ren, Dingcheng Li, Ping Li
Causal Effect Prediction with Flow-based Inference. ICDM (2022)
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li
Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. ICDM (2022)
Longfeng Wu, Yao Zhou, Dawei Zhou
Towards High-Order Complementary Recommendation via Logical Reasoning Network. ICDM (2022)
Nicholas O. Malott, Robert R. Lewis, Philip A. Wilsey
Homology-Separating Triangulated Euler Characteristic Curve. ICDM (2022)
Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. ICDM (2022)
Christopher Molloy, Jeremy Banks, Steven H. H. Ding, Philippe Charland, Andrew Walenstein, Litao Li
Adversarial Variational Modality Reconstruction and Regularization for Zero-Day Malware Variants Similarity Detection. ICDM (2022)
Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. ICDM (2022)
Yue Zhao, Sean Zhang, Leman Akoglu
Toward Unsupervised Outlier Model Selection. ICDM (2022)
Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
Generalized Few-Shot Node Classification. ICDM (2022)
Jiujun He, Bin Liu, Xuan Yang
Non-local Patch Mixup for Unsupervised Domain Adaptation. ICDM (2022)
Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
Privacy-Preserved Neural Graph Similarity Learning. ICDM (2022)
Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato
Alice and the Caterpillar: A More Descriptive Null Model for Assessing Data Mining Results. ICDM (2022)
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM (2022)
Fanghui Bi, Tiantian He, Xin Luo
A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation. ICDM (2022)
Minh N. Vu, Truc D. T. Nguyen, My T. Thai
NeuCEPT: Learn Neural Networks' Mechanism via Critical Neurons with Precision Guarantee. ICDM (2022)
Zheng Zhang, Liang Zhao
Unsupervised Deep Subgraph Anomaly Detection. ICDM (2022)
Yifan Sun, Yunfeng Zhao, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi
Few-shot Partial Multi-label Learning with Data Augmentation. ICDM (2022)
Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. ICDM (2022)
Qijie Ding, Daokun Zhang, Jie Yin
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. ICDM (2022)
Yong Zhuang, Matthew Almeida, Wei Ding, Patrick D. Flynn, Shafiqul Islam, Ping Chen
Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems. ICDM (2022)
Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang
Invariant Factor Graph Neural Networks. ICDM (2022)
Maryam Shahcheraghi, Ryan Mercer, João Manuel De Almeida Rodrigues, Audrey Der, Hugo Filipe Silveira Gamboa, Zachary Zimmerman, Eamonn J. Keogh
Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data. ICDM (2022)
Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu
Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion. ICDM (2022)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Cost-Effective Transfer Learning for Data Streams. ICDM (2022)
Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. ICDM (2022)
Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk
Deep Geometrical Learning for Alzheimer's Disease Progression Modeling. ICDM (2022)