| 2025 | AAAI | MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning. | Hai-Long Sun, Da-Wei Zhou, Hanbin Zhao, Le Gan, De-Chuan Zhan, Han-Jia Ye |
| 2025 | ICML | FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making. | Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan |
| 2025 | IJCAI | Reward Models in Deep Reinforcement Learning: A Survey. | Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan |
| 2024 | ECAI | Weight Scope Alignment: A Frustratingly Easy Method for Model Merging. | Yichu Xu, Xin-Chun Li, Le Gan, De-Chuan Zhan |
| 2024 | ICML | Revisit the Essence of Distilling Knowledge through Calibration. | Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan |
| 2024 | ICML | SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets. | Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan |
| 2024 | ICML | AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors. | Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan |
| 2024 | IJCAI | MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model. | Shenghua Wan, Hai-Hang Sun, Le Gan, De-Chuan Zhan |
| 2022 | ICASSP | Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling. | Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan |
| 2022 | Interspeech | Avoid Overfitting User Specific Information in Federated Keyword Spotting. | Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan |