| 2026 | AAAI | RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting. | Jieting Wang, Xiaolei Shang, Feijiang Li, Furong Peng |
| 2026 | AAAI | Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting. | Jieting Wang, Huimei Shi, Feijiang Li, Xiaolei Shang |
| 2026 | KDD | Vertical Federated K-Means for Multi-View Data Guided by a K-Means Cost Bound after Projection. | Feijiang Li, Jinhao Jiang, Jieting Wang, Liang Du, Yuhua Qian |
| 2025 | AAAI | Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization. | Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian |
| 2025 | AAAI | Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label. | Quanjiang Li, Tingjin Luo, Mingdie Jiang, Zhangqi Jiang, Chenping Hou, Feijiang Li |
| 2025 | AAAI | k-HyperEdge Medoids for Clustering Ensemble. | Feijiang Li, Jieting Wang, Liuya Zhang, Yuhua Qian, Shuai Jin, Tao Yan, Liang Du |
| 2025 | ICCV | PASD: A Pixel-Adaptive Swarm Dynamics Approach for Unsupervised Low-Light Image Enhancement. | Shuai Jin, Yuhua Qian, Feijiang Li, Guoqing Liu, Xinyan Liang |
| 2025 | ICML | Robust Automatic Modulation Classification with Fuzzy Regularization. | Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du |
| 2025 | ICML | Trusted Multi-View Classification with Expert Knowledge Constraints. | Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li |
| 2025 | ICML | Stabilizing Sample Similarity in Representation via Mitigating Random Consistency. | Jieting Wang, Zelong Zhang, Feijiang Li, Yuhua Qian, Xinyan Liang |
| 2025 | IJCAI | View-Association-Guided Dynamic Multi-View Classification. | Xinyan Liang, Li Lv, Qian Guo, Bingbing Jiang, Feijiang Li, Liang Du, Lu Chen |
| 2025 | IJCAI | Frequency-Aware Deep Depth from Focus. | Tao Yan, Yingying Wang, Jiangfeng Zhang, Yuhua Qian, Jieru Jia, Lu Chen, Feijiang Li |
| 2025 | IJCNN | Quantifying Information in Similarity Matrices for Improved Representation Learning. | Zelong Zhang, Zhuhui Han, Jieting Wang, Feijiang Li |
| 2024 | AAAI | Cross-Domain Contrastive Learning for Time Series Clustering. | Furong Peng, Jiachen Luo, Xuan Lu, Sheng Wang, Feijiang Li |
| 2024 | IJCAI | Deep Embedding Clustering Driven by Sample Stability. | Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua Qian |
| 2021 | AAAI | GoT: a Growing Tree Model for Clustering Ensemble. | Feijiang Li, Yuhua Qian, Jieting Wang |
| 2019 | ICDM | Prototype Propagation Clustering Based on Large Margin. | Feijiang Li, Yuhua Qian, Jieting Wang |
| 2015 | ICMLC | Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method. | Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang |