Shijie Lin

Shijie Lin

Ph.D. in Robotics

The University of Hong Kong

About Me

I am a Ph.D. candidate in Robotics at The University of Hong Kong, supervised by Prof. Jia Pan, Wenping Wang, and Yifan (Evan) Peng. My thesis focuses on Real-time Computational Neuromorphic Vision for Robotics. I was awarded the HKU Dissertation Year Fellowship.

My research interests include event-based / neuromorphic vision, computational imaging, and embodied AI.

Education

Ph.D. in Robotics

2020-09-01

The University of Hong Kong

M.E. in Electronics Communication Engineering

2017-09-01
2019-06-30

Wuhan University

B.S. in Electronics and Information Engineering

2013-09-01
2017-06-30

Sichuan University

Interests

Event-based / Neuromorphic Vision Computational Imaging Embodied AI
News
Featured Publications
Recent Publications
Awards & Honors

Scholarship

  • HKU Dissertation Year Fellowship, 2025
  • Gold Medal and TOP 20 BEST INVENTION AWARDS at iCAN 2024
  • Silver Medal of Geneva International Exhibition of Inventions 2024
  • The Arthur and Louise May Memorial Fund Scholarship, 2023
  • The Arthur and Louise May Memorial Fund Scholarship, 2022
  • National Scholarship for Postgraduate (Top 1%), 2018

International Competitions

  • 1st Prize, National Postgraduate Electronic Design Competition, Team Leader (Top 0.2%), 2018
  • ICRA2018 DJI Robomaster AI Challenge, Global Ranking: 6/70, Team Leader, 2018
  • 1st Prize, Microsoft Imagine Cup, Team Leader (Top 1%), 2016
  • 1st Prize, National Undergraduate Electronic Design Competition (Top 1%), 2015
Service
  • Journal Reviewer: T-RO, TPAMI, TIP, RA-L (IEEE RAS Young Reviewers)
  • Conference Reviewer: CVPR, ECCV, IROS, ICRA, ROBIO, ICML
  • Teaching: COMP3270 Artificial Intelligence, 2023 Fall
  • Invited Talks:
    • International Congress of Basic Science (ICBS), Beijing, 2025
    • Tsinghua University Invited Talk, 2025 (hosted by Prof. Muyuan Yang)
    • The 8th Micro-Nano Optics Technology and Applications Symposium & PhotoniX Forum 2024, Shanghai
    • IEEE/CVF CVPR 2022, New Orleans: “Autofocus for Event Camera”