Chenwei Wang

Chenwei Wang

Ph.D. Student

About me

Hi! I am Chenwei Wang, a Ph.D. student at The University of Hong Kong (HKU), working on robotic manipulation and medical robotics in the Medical Intelligence and Robotic Recognition (MIRoC) Lab under the supervision of Prof. Zhongliang Jiang. I received my M.Phil. in Computer and Information Engineering from The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), supervised by Prof. Zhenglong Sun. My master’s research focused on autonomous robotic ultrasound-guided diagnosis and biopsy for superficial organs.

Before joining HKU, I was a research intern at the Institute of AI, China Telecom (TeleAI), working under the supervision of Dr. Chenjia Bai and Dr. Yang Zhang. My work focused on cross-embodiment imitation learning and real-world reinforcement fine-tuning for vision-language-action (VLA) models. My current research interests lie at the intersection of robot learning, egocentric data in embodied AI, and medical robotics.

I am always open to research discussions and collaboration. Please feel free to contact me by email.

Education

  • Jan. 2026 – Present, The University of Hong Kong, Ph.D. Student
    Lab: Medical Intelligence and Robotic Recognition (MIRoC) Lab
    Supervisor: Prof. Zhongliang Jiang
  • Sept. 2023 – Nov. 2025, The Chinese University of Hong Kong, Shenzhen, M.Phil. in Computer and Information Engineering
    Supervisor: Prof. Zhenglong Sun
  • Sept. 2019 – June 2023, Jilin University, B.Eng. in Electronic Information Engineering

Selected Research & Publications

My research primarily focuses on:

  1. autonomous robotic ultrasound and medical image-guided intervention;
  2. cross-embodiment robot learning and unified action-space modeling;
  3. imitation and reinforcement learning for VLA models;
  4. learning from egocentric human data for robotic manipulation. .

Accepted

  1. Y. Zhang†, C. Wang†, O. Lu†, Y. Zhao, Y. Ge, Z. Sun, X. Li, C. Zhang, C. Bai*, and X. Li*, “Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance,” The Fourteenth International Conference on Learning Representations (ICLR), 2026.

  2. C. Wang†, C. Qian†, Q. Gao, X. Ji, and Z. Sun, “Towards Fully Autonomous Robotic Ultrasound-Guided Biopsy for Superficial Organs,” 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.

  3. C. Wang, Q. Gao, D. Zhang, Z. Wang, and Z. Sun, “Robotic Assistance for Standardized Compression Ultrasound Elastography,” 2024 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2024. Best Conference Paper Finalist.

† Equal contribution.

Under Review

  1. S. Yang, Y. Zhang, C. Wang, O. Lu, C. Bai and X. Li, “Enhancing Dexterous Diffusion Policy with Predictive 3D Representations,” under review at IEEE Transactions on Cybernetics. .

Awards & Experience

Awards & Honors

  • Nominee for the Outstanding Graduate Student Award, The Chinese University of Hong Kong, Shenzhen (2025)
  • Jilin University Academic Science and Technology Scholarship
  • Excellent Graduation Design, School of Electronic Science and Engineering, Jilin University

Outreach & Research Dissemination

  • Digital Technology Ecosystem Conference (DTEC) — Prepared demos for the exhibition.
  • Embodied Intelligence Hub (具身智能之心), 2025 — Presented TeleAI’s robotic research in a livestream, demonstrating real-world embodied-intelligence systems and experimental results.
  • Jiqizhixin (机器之心), 2025 — TeleAI’s embodied-AI and robotics work was featured in technical media coverage.