Curriculum Vitae

Education

Ph.D. student, The University of Hong Kong, Present (Jan. 2026 – Present)
M.Phil. in Computer and Information Engineering, The Chinese University of Hong Kong Shenzhen, 2025 (Sept. 2023 – Nov. 2025)
B.Eng. in Electronic Information Engineering, Jilin University, 2023 (Sept. 2019 – June 2023)

Research Intern, Institute of AI China Telecom (TeleAI), 2025
- 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 Researcher, The Chinese University of Hong Kong Shenzhen, 2023 - 2024
- 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.

Development of Data Collection System and Real-World Deployment Experiments on DP3 (Apr. 2025 – May 2025)
Developed 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)
Contributed 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)
Graduation 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)
Team leader; awarded Outstanding Provincial Project.

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,” ICLR, 2026.
C. Wang†, C. Qian†, Q. Gao, X. Ji, and Z. Sun, “Towards Fully Autonomous Robotic Ultrasound-Guided Biopsy for Superficial Organs,” IEEE/RSJ IROS, 2025.
C. Wang, Q. Gao, D. Zhang, Z. Wang, and Z. Sun, “Robotic Assistance for Standardized Compression Ultrasound Elastography,” IEEE RCAR, 2024. Best Conference Paper Finalist nominee.
S. Yang, Y. Zhang, C. Bai, C. Wang, O. Lu, and X. Li, “Enhancing Dexterous Diffusion Policy with Predictive 3D Representations,” under review at IEEE Transactions on Cybernetics. Led the real-world robotic experiments.

† Equal contribution. * Corresponding author.

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.