Fan, Jicong

32 publications

ICLR 2025 AutoUAD: Hyper-Parameter Optimization for Unsupervised Anomaly Detection Wei Dai, Jicong Fan

IJCAI 2025 Explainable Graph Representation Learning via Graph Pattern Analysis Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan

NeurIPS 2025 Fairness-Aware Anomaly Detection via Fair Projection Feng Xiao, Xiaoying Tang, Jicong Fan

AAAI 2025 Federated T-SNE and UMAP for Distributed Data Visualization Dong Qiao, Xinxian Ma, Jicong Fan

ICML 2025 Graph Minimum Factorization Distance and Its Application to Large-Scale Graph Data Clustering Jicong Fan

AAAI 2025 Multi-Subspace Matrix Recovery from Permuted Data Liangqi Xie, Jicong Fan

AAAI 2025 Non-Convex Tensor Recovery from Local Measurements Tongle Wu, Ying Sun, Jicong Fan

ICML 2025 Self-Discriminative Modeling for Anomalous Graph Detection Jinyu Cai, Yunhe Zhang, Jicong Fan

AAAI 2025 Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation Wei Dai, Kai Hwang, Jicong Fan

ICLR 2024 Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan

AAAI 2024 Dense Projection for Anomaly Detection Dazhi Fu, Zhao Zhang, Jicong Fan

IJCAI 2024 Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo

NeurIPS 2024 Graph Classification via Reference Distribution Learning: Theory and Practice Zixiao Wang, Jicong Fan

IJCAI 2024 Kernel Readout for Graph Neural Networks Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan

IJCAI 2024 LG-FGAD: An Effective Federated Graph Anomaly Detection Framework Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng

ICML 2024 Learning Graph Representation via Graph Entropy Maximization Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan

ICLR 2024 MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy Yan Sun, Jicong Fan

ICLR 2024 Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice Jicong Fan, Rui Chen, Zhao Zhang, Chris Ding

NeurIPS 2024 Unsupervised Anomaly Detection in the Presence of Missing Values Feng Xiao, Jicong Fan

ICLR 2023 Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-Off Between Body and Clothing Yu Liu, Mingbo Zhao, Zhao Zhang, Jicong Fan, Yang Lou, Shuicheng Yan

NeurIPS 2023 Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li

TMLR 2023 Euclidean-Norm-Induced Schatten-P Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell

NeurIPS 2023 Federated Spectral Clustering via Secure Similarity Reconstruction Dong Qiao, Chris Ding, Jicong Fan

NeurIPS 2023 Graph Convolutional Kernel Machine Versus Graph Convolutional Networks Zhihao Wu, Zhao Zhang, Jicong Fan

NeurIPS 2023 Lovász Principle for Unsupervised Graph Representation Learning Ziheng Sun, Chris Ding, Jicong Fan

NeurIPS 2022 A Simple Approach to Automated Spectral Clustering Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao, Haijun Zhang

AAAI 2022 Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation Jicong Fan

CVPR 2022 Efficient Deep Embedded Subspace Clustering Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang

ICLR 2022 Multi-Mode Deep Matrix and Tensor Factorization Jicong Fan

NeurIPS 2022 Perturbation Learning Based Anomaly Detection Jinyu Cai, Jicong Fan

AAAI 2020 Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning Jicong Fan, Yuqian Zhang, Madeleine Udell

NeurIPS 2019 Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery Jicong Fan, Lijun Ding, Yudong Chen, Madeleine Udell