CV
Summary
Ph.D. Student
Education
- Ph.D. studentPresentThe University of Hong Kong
- M.Phil. in Computer and Information EngineeringNov. 2025The Chinese University of Hong Kong Shenzhen
- B.Eng. in Electronic Information EngineeringJune 2023Jilin University
Work Experience
- Research Intern-Institute of AI China Telecom (TeleAI)
- Developed a dual-autoencoder framework for efficient cross-robot fine-tuning using asymmetric Info-VAEs and a unified cross-embodiment action space.
- Validated RDT policies in RoboTwin/ManiSkill3 and conducted preliminary deployment on a Unitree H1-2 humanoid with a RoboTera dexterous hand.
- Designed a recursive action-averaging strategy for smooth and robust real-world control.
- Developed a sparse-data VLA fine-tuning pipeline combining trajectory/video augmentation with real-world reinforcement learning.
- Graduate Researcher2023 - 2024The Chinese University of Hong Kong Shenzhen
- Built a fully autonomous ultrasound-guided biopsy system using a UR5e arm, ROS, U-Net++, 3D reconstruction, slice-to-volume registration, force/pose control, and reinforcement learning.
- Proposed a robot-assisted quantitative compression elastography framework for accurate elasticity measurement.
Projects
- Development of Data Collection System and Real-World Deployment Experiments on DP3 (Apr. 2025 – May 2025)Apr. 2025 – May 2025Developed data-collection tooling for the RoboTera dexterous hand and Unitree H1-2 humanoid, supported real-world DP3 deployment experiments, and contributed to paper writing.
- Action Chunking Transformer Reimplementation and Demonstration at DTEC (Nov. 2024 – Dec. 2024)Nov. 2024 – Dec. 2024Contributed to teleoperation development and ACT/OpenTeleVision reproduction and adaptation; demonstrated the system at the TeleAI Developer Conference.
- Spectrum-Sensing Chip for Explosive Detection (Dec. 2022 – May 2023)Dec. 2022 – May 2023Graduation project awarded Excellent Graduation Design by the School of Electronic Science and Engineering, Jilin University.
- Vehicle Intelligent-Arm Grasping System Based on Motion Matching (May 2021 – May 2022)May 2021 – May 2022Team leader; awarded Outstanding Provincial Project.
Awards & Honors
- Nominee for the Outstanding Graduate Student Award, The Chinese University of Hong Kong, Shenzhen, 2025
- Top-Performing Intern, Institute of AI, China Telecom (TeleAI), 2025
- Best Conference Paper Finalist nominee, IEEE RCAR, 2024
- Excellent Graduation Design, School of Electronic Science and Engineering, Jilin University
- Digital Technology Ecosystem Conference (DTEC), 2024 — Represented TeleAI and demonstrated embodied-AI and robotic technologies to academic, industry, and developer audiences.
- World Artificial Intelligence Conference (WAIC), 2025 — Supported the preparation and coordination of TeleAI's exhibition and its on-site technology demonstrations.
- 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.
Publications
- Robotic Assistance for Standardized Compression Ultrasound Elastography2024IEEE International Conference on Real-time Computing and Robotics (RCAR)A robot-assisted quantitative compression elastography framework for accurate elasticity measurement. Best Conference Paper Finalist nominee.
- Enhancing Dexterous Diffusion Policy with Predictive 3D Representations2025Under review at IEEE Transactions on CyberneticsUnder review at IEEE Transactions on Cybernetics. Chenwei Wang led the real-world robotic experiments.
- Towards Fully Autonomous Robotic Ultrasound-Guided Biopsy for Superficial Organs2025IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)A fully autonomous ultrasound-guided biopsy system integrating image analysis, 3D reconstruction, registration, robot control, and reinforcement learning.
- Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance2026The Fourteenth International Conference on Learning Representations (ICLR)A data-efficient, plug-and-play framework for adapting vision-language-action models across tasks and robot embodiments through unified latent guidance.