I am a fourth-year Ph.D. student at the School of Cyber Science and Engineering at Wuhan University, advised by Xiaochuan Shi and Chao Ma. Now I am an intern of X-Humanoid. Previously, I was also an intern of BeingBeyond founded by Zongqing Lu.

I received my Bachelor’s degree in Computer Science and Technology with the School of Cyber Science and Engineering at Wuhan University, advised by Xiaochuan Shi. After two years of master’s studies, I chose to pursue a doctorate through a Successive Postgraduate and Doctoral Program.

My research interest includes reinforcement learning and robotics.

🔥 News

  • 2026.09:  🎉 FAST was accepted at the Conference on Robot Learning (CoRL).
  • 2026.07:  🎉 RLPF was accepted at the European Conference on Computer Vision (ECCV).
  • 2025.11:  🎉 CROSSER was accepted for publication in IEEE Robotics and Automation Letters (RA-L).
  • 2024.09:  🎉 DELTA was accepted for publication in the Journal of Computer Research and Development (计算机研究与发展).
  • 2023.07:  🎉 CCPO was accepted at the 26th European Conference on Artificial Intelligence (ECAI 2023).

📝 Selected Works

*:equal contribution; †: corresponding author; ‡: project leader

FAST Figure 1 (CoRL version): zero-shot teleoperation and fast-adaptation skills.

General Humanoid Whole-Body Control via Pretraining and Fast Adaptation

Zepeng Wang, Jiangxing Wang, Shiqing Yao, Yu Zhang, Ziluo Ding, Ming Yang, Yuxuan Wang, Haobin Jiang, Chao Ma, Xiaochuan Shi†, Zongqing Lu‡

CoRL, 2026

TL;DR: A humanoid controller pretrained on diverse motions can balance through side kicks and single-leg squats. A small residual policy helps it learn unfamiliar movements while retaining skills it already tracks well.

Being-M0.7 Figure 1: an at-a-glance overview of human data pretraining and humanoid loco-manipulation.

Being-M0.7: A Latent World-Action Model for Humanoid Robots

Junpeng Yue*, Boyuan Li*, Yuxuan Wang*, Zepeng Wang, Yuhui Fu, Feiyang Xie, Yu Zhang, Jing Zhang, Jiangxing Wang, Zongqing Lu‡

arXiv, 2026

TL;DR: Being-M0.7 learns from human videos and motion sequences to predict both what comes into view and how the body moves. An action expert uses those predictions to guide a humanoid as it moves and manipulates objects.

CoRA teaser: command-following locomotion, bounded observation attacks, and targeted behavior hijacking.

Command-Referenced Observation Attacks for Behavior Hijacking in Humanoid Locomotion

Zepeng Wang*, Ziluo Ding*, Fengyi Zhang, Kan Yuan, Xiaochuan Shi†

Under review, 2026

TL;DR: Staying upright does not mean a robot is following its command. In simulation, small changes to sensor observations made a humanoid turn or drift sideways while it continued to receive the same forward command.

🎖 Honors and Awards

  • 2025.07 College Postgraduate Excellence Scholarship
  • 2024.10 Second Prize for Graduate Student Outstanding Academic Scholarship
  • 2023.09 LeiJun Computer Science Scholarship
  • 2022.07 First Prize for College Postgraduate Excellence Scholarship
  • 2021.07 Second Prize for College Undergraduate Excellence Scholarship
  • 2017.09 Freshman Scholarship of Wuhan University

📖 Educations

  • 2023.09 - present, Ph.D. student, School of Cyber Science and Engineering, Wuhan Univeristy, Wuhan.
  • 2021.09 - 2023.08, Master (apply for a Successive Postgraduate and Doctoral Program in the second year), School of Cyber Science and Engineering, Wuhan Univeristy, Wuhan.
  • 2017.09 - 2021.06, Undergraduate, School of Cyber Science and Engineering, Wuhan Univeristy, Wuhan.

💻 Internships

  • X-Humanoid

    Motion Control Algorithm Intern

    Motion Control Department

    2026.08 - presentChina

  • BeingBeyond

    Motion Control Algorithm Intern

    Frontier Exploration Department

    2025.05 - 2026.07China

  • BAAI

    Motion Control Algorithm Intern

    Multimodal Interaction Research Center

    2024.08 - 2025.04China

🧐 Reviewer Service

  • Conference Reviewer
    • NeurIPS / ECCV / CoRL / ICRA
  • Journal Reviewer
    • RA-L