SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models. - Shenghua Wan; Yucen Wang; Minghao Shao; Ruying Chen; De-Chuan Zhan (ICML, 2023)

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 (ICML, 2024)

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

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models. - Xiaoyu Chen; Hangxing Wei; Pushi Zhang; Chuheng Zhang; Kaixin Wang; Yanjiang Guo; Rushuai Yang; Yucen Wang; Xinquan Xiao; Li Zhao 007; Jianyu Chen; Jiang Bian 002 (CoRR, 2025)