Jiacheng Liu (柳家铖)

PhD student, Zhejiang University

I am a Ph.D. candidate in a joint doctoral program between Zhejiang University, Westlake University, and Shanghai Innovation Institute, under the supervision of Donglin Wang, Weinan Zhang, Lixin Yang, and Cewu Lu. I received my bachelor’s degree from East China University of Science and Technology, where I was recognized as an Outstanding Graduate of Shanghai.

Feel free to contact me via email liujiacheng[At]westlake.edu.cn for any questions or opportunities.

Research interest

I am broadly interested in Embodied AI and reinforcement learning, with a focus on sample-efficient methods and their applications to embodied agents. My long-term vision is to enable embodied agents to better perceive, understand, and explore the world.

Selected Publication

Papers sorted by recency. Representative papers are highlighted.

Learning Realistic Depth via Physics-Grounded Noise Disentanglement with Semantic-Geometric Collaboration
Xiujian Liang, Jiacheng Liu, Mingyang Sun, Qichen He, Anda Cheng, Cewu Lu, Jianhua Sun
International Conference on Machine Learning (ICML), 2026
paper
TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learning
Jiacheng Liu*, Pengxiang Ding*, Qihang Zhou, Yuxuan Wu, Da Huang, Zimian Peng, Wei Xiao, Weinan Zhang, Lixin Yang, Cewu Lu, Donglin Wang
International Conference on Robotics and Automation (ICRA), 2026
project page / code / paper
OpenWBC: VR-based Robot Teleoperation and Data Collection System for Humanoid Whole-Body VLA (Unitree G1)
Jiacheng Liu, Qihang Zhou, Yuxuan Wu, Da Huang, Zimian Peng, Pengxiang Ding
code
Efficient online rl fine tuning with offline pre-trained policy only
Wei Xiao, Jiacheng Liu, Zifeng Zhuang, Runze Suo, Shangke Lyu, Donglin Wang
paper
Humanoid-VLA: Towards Universal Humanoid Control with Visual Integration
Pengxiang Ding*, Jianfei Ma*, Xinyang Tong*, Binghong Zou, Xinxin Luo, Yiguo Fan, Ting Wang, Hongchao Lu, Panzhong Mo, Jinxin Liu, Yuefan Wang, Huaicheng Zhou, Wenshuo Feng, Jiacheng Liu, Siteng Huang, Donglin Wang
paper
Unraveling Max-Return Sequence Modeling via Return Consistency
Zifeng Zhuang, Dengyun Peng, Jiacheng Liu, Xiao He, Xing Lei, Ting Wang, Donglin Wang
International Joint Conference on Neural Networks (IJCNN), 2026
paper