Wan, Le

5 publications

ICLR 2026 PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data Zhe Zhu, Le Wan, Rui Xu, Yiheng Zhang, Honghua Chen, Zhiyang Dou, Cheng Lin, Yuan Liu, Mingqiang Wei

NeurIPS 2024 FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space Yiyang Guo, Ruizhe Li, Mude Hui, Hanzhong Guo, Chen Zhang, Chuangjian Cai, Le Wan, Shangfei Wang

ICLR 2024 SEABO: A Simple Search-Based Method for Offline Imitation Learning Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu

JAIR 2024 Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu

NeurIPSW 2022 State Advantage Weighting for Offline RL Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li