About Me

Ph.D. Student, School of Automation
Key Laboratory of Industrial Intelligence and Systems, Ministry of Education
Central South University, Changsha 410083, China
Supervisors: Prof. Weihua Gui and Prof. Keke Huang

Visiting Ph.D. Student, School of Electrical and Electronic Engineering
Nanyang Technological University, Singapore 639798
Supervisor: Assistant Professor Ziwei Wang

I am currently a Ph.D. student in School of Automation at Central South University under the supervision of Prof. Weihua Gui and Prof. Keke Huang, and a visiting Ph.D. student in School of Electrical and Electronic Engineering at Nanyang Technological University. I received my B.Eng. degree in Automation from Central South University in 2022. Since January 2026, I have been a visiting Ph.D. student at Nanyang Technological University, where I conduct research in the PINE Lab under the supervision of Assistant Professor Ziwei Wang.

My current research focuses on Industrial Intelligence and Embodied AI.

🔥🔥 I am looking for collaborators interested in Embodied AI, particularly real-world RL. Feel free to contact me.

01News

02Selected Publications

Full list on Google Scholar ↗
  1. A Diffusion-based Unified Framework for Open-World Dynamic Wheel Recognition System Construction and Maintenance with Incomplete Data

    Zeyi Liu, Weihua Gui, Keke Huang, Dehao Wu, Chunhua Yang

    IEEE Transactions on Cybernetics, 2026.PaperCode

  2. Contrastive Learning-Based Secure Unsupervised Domain Adaptation Framework and Its Application in Cross-Factory Intelligent Manufacturing

    Zeyi Liu, Weihua Gui, Keke Huang, Dehao Wu, Yue Liao, Chunhua Yang

    IEEE Robotics and Automation Letters, 2025.PaperCode link pending

  3. Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application

    Zeyi Liu, Dehao Wu, Keke Huang, Chunhua Yang, Weihua Gui

    IEEE Transactions on Automation Science and Engineering, 2024.PaperCode link pending

  4. Preference-Calibrated Human-in-the-Loop Reinforcement Learning for Robotic Manipulation

    Zeyi Liu, Guangyao Liu, Yinuo Qu, Yuquan Xue, Bofang Jia, Chunhua Yang, Weihua Gui, Keke Huang, Ziwei Wang

    10th Conference on Robot Learning, 2026.PaperWebsiteCode

  5. WorldSample: Closed-loop Real-robot RL with World Modelling

    Yuquan Xue, Le Xu, Zeyi Liu, Zhenyu Wu, Zhengyi Gu, Xinyang Song, Bofang Jia, Ziwei Wang

    RAL submission, 2026.PaperWebsite

03Education

  • 2026.01 - 2027.01, Visiting Ph.D. Student, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
  • 2022.09 - 2027.06, Ph.D. Student in Control Science and Engineering, School of Automation, Central South University, Changsha.
  • 2018.09 - 2022.06, B.Eng. in Automation, School of Automation, Central South University, Changsha.

04Reviewer

  • IEEE Transactions on Industrial Informatics (TII)
  • IEEE Transactions on Automation Science and Engineering (TASE)
  • IET Cyber-Physical Systems
  • Conference on Robot Learning (CoRL)

05Honors & Awards

  • First Prize, Hunan Graduate Artificial Intelligence Innovation Competition
  • First Prize for Outstanding Paper Presentation, Hunan Graduate Innovation Forum
  • Third Prize, China Graduate Mathematical Contest in Modeling
  • Second Prize, China Graduate Mathematical Contest in Modeling
  • National Scholarship
  • National Scholarship

06Patents & Software

  • 4 granted national invention patents in domain adaptation, industrial fault diagnosis, zero-shot defect detection, and continual industrial monitoring.
  • 2 registered software copyrights for controllable industrial content generation and manufacturing-process monitoring platforms.