Academic CV

Research

I study continual learning in humanoid robots: how a robot can acquire new skills without forgetting earlier ones, and recognise when a familiar skill can be reused without an explicit task boundary.

Education

• PhD in Computer Science
  University College London
  2026 to present
• MSc in Robotics and AI, Distinction
  University College London
  2025
• BEng in Robot Engineering
  University of Electronic Science and Technology of China
  2020 to 2024

Research and teaching experience

• Postgraduate Teaching Assistant, University College London
  COMP0205: Mechatronics and Making. Supported practical labs and tutorials.
  2026/27
• Research Intern, Institute of Automation, Chinese Academy of Sciences
  Worked on embodied intelligence, including the safety of vision-language-action policies.
  2025 to 2026

Selected publications

• Self-motivated growing neural network for adaptive architecture via local structural plasticity
  Yiyang Jia and Chengxu Zhou. Neurocomputing, 2026, volume 702, article 134581.
• ForesightSafety-VLA: A Unified Diagnostic Safety Benchmark for Vision-Language-Action Models
  Mingyang Lyu, Yinqian Sun, Yiyang Jia, Sicheng Shen, Moquan Sha, Huangrui Li, Feifei Zhao and Yi Zeng. IROS, 2026.

Preprints

• TRACE: Target-State Risk-Aligned Conditional Execution for Embodied Tracking
  Mingyang Lyu, Gongce Cao, Yiyang Jia, Lu Jia, Erliang Lin, Yuhao Zhang, Yinqian Sun, Pin Lyu, Feifei Zhao and Bo Wang. arXiv:2610.41275 · October 2026.
• Beyond Kinematic Tracking: Preserving Expressive Characteristics in Humanoid Whole-Body Control
  Lingfan Bao, Hanshang Zhu, Yan Pan, Jincheng Wang, Jingyang Yu, Tianhu Peng, Yiyang Jia, Dimitrios Kanoulas and Chengxu Zhou. arXiv:2610.19393 · October 2026.

Selected award

National Scholarship, University of Electronic Science and Technology of China (2021).