Le Wan

19 papers A* 2A 2Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
FlashMesh: Faster and Better Autoregressive Mesh Synthesis via Structured Speculation.
CoRR
Tingrui Shen, Yiheng Zhang, Chen Tang, Chuan Ping, Zixing Zhao, Le Wan, Yuwang Wang, Ronggang Wang, Shengfeng He
2025 J jnl
MeshMosaic: Scaling Artist Mesh Generation via Local-to-Global Assembly.
CoRR
Rui Xu, Tianyang Xue, Qiujie Dong, Le Wan, Zhe Zhu, Peng Li, Zhiyang Dou, Cheng Lin, Shiqing Xin, Yuan Liu, Wenping Wang, Taku Komura
2025 J jnl
PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data.
CoRR
Zhe Zhu, Le Wan, Rui Xu, Yiheng Zhang, Honghua Chen, Zhiyang Dou, Cheng Lin, Yuan Liu, Mingqiang Wei
2025 J jnl
Real-Time HSV Transparent Object Shape Extraction and Projection.
IEEE Trans. Ind. Informatics
Yuan Xu, Lin Jiang, Yunfei Li, Le Wan, Jianyang Zhu
2024 A* conf
FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space.
NeurIPS
Yiyang Guo, Ruizhe Li, Mude Hui, Hanzhong Guo, Chen Zhang, Chuangjian Cai, Le Wan, Shangfei Wang
2024 J jnl
FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space.
CoRR
Yiyang Guo, Ruizhe Li, Mude Hui, Hanzhong Guo, Chen Zhang, Chuangjian Cai, Le Wan, Shangfei Wang
2024 J jnl
Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse.
Inf. Sci.
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024 A* conf
SEABO: A Simple Search-Based Method for Offline Imitation Learning.
ICLR
Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
2024 J jnl
SEABO: A Simple Search-Based Method for Offline Imitation Learning.
CoRR
Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
2024 A conf
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning.
AAMAS
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024 J jnl
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence.
CoRR
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2024 J jnl
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence.
J. Artif. Intell. Res.
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
2023 J jnl
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse.
CoRR
Jiafei Lyu, Le Wan, Zongqing Lu, Xiu Li
2023 — conf
State Advantage Weighting for Offline RL.
Tiny Papers @ ICLR
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
2023 A conf
Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning.
ECAI
Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li
2023 J jnl
Uncertainty-driven Trajectory Truncation for Model-based Offline Reinforcement Learning.
CoRR
Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li
2022 J jnl
Novel Standardized Representation Methods for Modular Service Robots.
Int. J. Soc. Robotics
Yibo Zou, Yusheng Ju, Zhenzhou Shao, Yefei Gong, Bo Sun, Le Wan, Tuo Shi
2022 J jnl
State Advantage Weighting for Offline RL.
CoRR
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
2010 J jnl
Transformer: A New Paradigm for Building Data-Parallel Programming Models.
IEEE Micro
Peng Wang, Dan Meng, Jizhong Han, Jianfeng Zhan, Bibo Tu, Xiaofeng Shi, Le Wan