| 2025 | AAAI | Mixture of Experts as Representation Learner for Deep Multi-View Clustering. | Yunhe Zhang, Jinyu Cai, Zhihao Wu, Pengyang Wang, See-Kiong Ng |
| 2025 | ICML | Self-Discriminative Modeling for Anomalous Graph Detection. | Jinyu Cai, Yunhe Zhang, Jicong Fan |
| 2025 | ICML | Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection. | Jinyu Cai, Yunhe Zhang, Fusheng Liu, See-Kiong Ng |
| 2025 | KDD | Generative Imputation with Multi-level Causal Consistency for Variable Subset Forecasting. | Qi Hao, Yue Gao, Runchang Liang, Yunhe Zhang, Pengyang Wang |
| 2024 | ICLR | Deep Orthogonal Hypersphere Compression for Anomaly Detection. | Yunhe Zhang, Yan Sun, Jinyu Cai, 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 |
| 2023 | ISSRE | Discriminating Human-authored from ChatGPT-Generated Code Via Discernable Feature Analysis. | Ke Li, Sheng Hong, Cai Fu, Yunhe Zhang, Ming Liu |
| 2022 | ACCV | Learnable Subspace Orthogonal Projection for Semi-supervised Image Classification. | Lijian Li, Yunhe Zhang, Aiping Huang |
| 2022 | CVPR | Efficient Deep Embedded Subspace Clustering. | Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang |
| 2010 | UIC | A Dynamic Risk Assessment Framework Using Principle Component Analysis with Projection Pursuit in Ad Hoc Networks. | Cai Fu, Jihang Ye, Li Zhang, Yunhe Zhang, Lansheng Han |