Lehong Wu

@inproceedings{wu2025simlauncher,
  title = {SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training},
  author = {Wu, Mingdong and Wu, Lehong and Wu, Yizhuo and Huang, Weiyao and Fan, Hongwei and Hu, Zheyuan and Geng, Haoran and Li, Jinzhou and Ying, Jiahe and Yang, Long and Chen, Yuanpei and Dong, Hao},
  booktitle = {International Conference on Intelligent Robots and Systems (IROS), Oral Presentation},
  year = {2025},
}

@inproceedings{wu2025unitac2pose,
  title = {UniTac2Pose: A Unified Approach Learned in Simulation for Generalizable Visuotactile In-hand Pose Estimation},
  author = {Wu, Mingdong and Yang, Long and Liu, Jin and Huang, Weiyao and Wu, Lehong and Chen, Zelin and Ma, Daolin and Dong, Hao},
  booktitle = {Conference on Robot Learning (CoRL)},
  year = {2025},
}

@inproceedings{wu2024macdiff,
  title = {MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion},
  author = {Wu, Lehong and Lin, Lilang and Zhang, Jiahang and Ma, Yiyang and Liu, Jiaying},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2024},
}

@inproceedings{lin2024igm,
  title = {Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition},
  author = {Lin, Lilang and Wu, Lehong and Zhang, Jiahang and Liu, Jiaying},
  booktitle = {European Conference on Computer Vision (ECCV)},
  year = {2024},
}