Gan, Le

11 publications

ICML 2025 FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan

NeurIPS 2025 Leveraging Conditional Dependence for Efficient World Model Denoising Shaowei Zhang, Jiahan Cao, Dian Cheng, Xunlan Zhou, Shenghua Wan, Le Gan, De-Chuan Zhan

AAAI 2025 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

IJCAI 2025 Reward Models in Deep Reinforcement Learning: A Survey Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan

ICML 2024 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

NeurIPS 2024 Leveraging Separated World Model for Exploration in Visually Distracted Environments Kaichen Huang, Shenghua Wan, Minghao Shao, Hai-Hang Sun, Le Gan, Shuai Feng, De-Chuan Zhan

IJCAI 2024 MOSER: Learning Sensory Policy for Task-Specific Viewpoint via View-Conditional World Model Shenghua Wan, Hai-Hang Sun, Le Gan, De-Chuan Zhan

ICML 2024 Revisit the Essence of Distilling Knowledge Through Calibration Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan

ICML 2024 SeMOPO: Learning High-Quality Model and Policy from Low-Quality Offline Visual Datasets Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan

NeurIPS 2023 Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping Jia-Qi Yang, De-Chuan Zhan, Le Gan

NeurIPS 2021 Towards Enabling Meta-Learning from Target Models Su Lu, Han-Jia Ye, Le Gan, De-Chuan Zhan