| 2026 | AAAI | Adaptive Riemannian Graph Neural Networks. | Xudong Wang, Chris Ding, Tongxin Li, Jicong Fan |
| 2026 | ISCAS | Reinforcement Learning Framework with Improved NSGA-II for Logic Synthesis. | Zhiwei Tan, Jicong Fan, Zhongyan Xu, Xijun Cheng, Yufei Nai, Xiaofeng Gu, Zhiguo Yu |
| 2026 | PAKDD | Evaluation Metrics for Data Valuation Methods. | Zhiyu Chen, Jicong Fan |
| 2026 | PAKDD | Subject Information Extraction for Novelty Detection with Domain Shifts. | Yangyang Qu, Dazhi Fu, Jicong Fan |
| 2026 | PAKDD | Foundation Model-Energized Anomaly Detection and Outlier Detection: A Survey. | Feng Xiao, Jicong Fan |
| 2025 | AAAI | Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation. | Wei Dai, Kai Hwang, Jicong Fan |
| 2025 | AAAI | Federated t-SNE and UMAP for Distributed Data Visualization. | Dong Qiao, Xinxian Ma, Jicong Fan |
| 2025 | AAAI | Non-Convex Tensor Recovery from Local Measurements. | Tongle Wu, Ying Sun, Jicong Fan |
| 2025 | AAAI | Multi-Subspace Matrix Recovery from Permuted Data. | Liangqi Xie, Jicong Fan |
| 2025 | ICLR | AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection. | Wei Dai, Jicong Fan |
| 2025 | ICML | Graph Minimum Factorization Distance and Its Application to Large-Scale Graph Data Clustering. | Jicong Fan |
| 2025 | ICML | Self-Discriminative Modeling for Anomalous Graph Detection. | Jinyu Cai, Yunhe Zhang, Jicong Fan |
| 2025 | IJCAI | Explainable Graph Representation Learning via Graph Pattern Analysis. | Xudong Wang, Ziheng Sun, Chris Ding, Jicong Fan |
| 2024 | AAAI | Dense Projection for Anomaly Detection. | Dazhi Fu, Zhao Zhang, Jicong Fan |
| 2024 | ICDM | DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model. | Zhenhao Jiang, Jicong Fan |
| 2024 | ICLR | Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice. | Jicong Fan, Rui Chen, Zhao Zhang, Chris Ding |
| 2024 | ICLR | MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy. | Yan Sun, Jicong Fan |
| 2024 | ICLR | Deep Orthogonal Hypersphere Compression for Anomaly Detection. | Yunhe Zhang, Yan Sun, Jinyu Cai, Jicong Fan |
| 2024 | ICML | Learning Graph Representation via Graph Entropy Maximization. | Ziheng Sun, Xudong Wang, Chris Ding, Jicong Fan |
| 2024 | IJCAI | Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment. | Jinyu Cai, Yunhe Zhang, Jicong Fan, Yali Du, Wenzhong Guo |
| 2024 | IJCAI | LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. | Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng |
| 2024 | IJCAI | Kernel Readout for Graph Neural Networks. | Jiajun Yu, Zhihao Wu, Jinyu Cai, Adele Lu Jia, Jicong Fan |
| 2023 | ICDM | Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution. | Yawei Li, Zhao Zhang, Suiyi Zhao, Jicong Fan, Haijun Zhang, Mingliang Xu |
| 2023 | ICLR | 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 |
| 2022 | AAAI | Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation. | Jicong Fan |
| 2022 | CVPR | Efficient Deep Embedded Subspace Clustering. | Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang |
| 2022 | ICDM | Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization. | Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan |
| 2022 | ICDM | FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. | Bo Wang, Zhao Zhang, Jicong Fan, Mingbo Zhao, Choujun Zhan, Mingliang Xu |
| 2022 | ICLR | Multi-Mode Deep Matrix and Tensor Factorization. | Jicong Fan |
| 2021 | ICDM | Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence. | Jiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, Meng Wang |
| 2021 | KDD | Large-Scale Subspace Clustering via k-Factorization. | Jicong Fan |
| 2020 | AAAI | Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning. | Jicong Fan, Yuqian Zhang, Madeleine Udell |
| 2020 | KDD | AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space. | Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell |
| 2019 | CVPR | Online High Rank Matrix Completion. | Jicong Fan, Madeleine Udell |
| 2018 | PRICAI | Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution. | Xiaotian Ma, Mingbo Zhao, Zhao Zhang, Jicong Fan, Choujun Zhan |
| 2017 | INDIN | AutoEncoder based high-dimensional data fault detection system. | Jicong Fan, Wei Wang, Haijun Zhang |
| 2017 | INDIN | Multi-label classification for images with missing labels. | Jianghong Ma, Jicong Fan, Wei Wang |