| 2026 | AAAI | S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning. | Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie |
| 2026 | AAAI | Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework. | Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie |
| 2025 | AAAI | Language Pre-training Guided Masking Representation Learning for Time Series Classification. | Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie |
| 2025 | ICASSP | Self-Supervised Localized Topology Consistency for Noise-Robust Hyperspectral Image Classification. | Jie Wang, Liaoyuan Tang, Guanxiong He, Zhe Cao, Zheng Wang, Rong Wang |
| 2024 | IJCAI | Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection. | Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie |
| 2024 | WWW | Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. | Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie |