Chao Fan, PhD, Assistant Professor
Contact: chaofan996@szu.edu.cn
Personal Homepage: https://chaofan996.github.io
Google Scholar Homepage: https://scholar.google.com/citations?user=lgDtKZcAAAAJ&hl=en
Research Interests: (1) Vision-based human gait recognition and analysis; (2) Human image generation and generative models; (3) Perception problems in embodied intelligent systems
Research Experience:
Chao Fan received his PhD in December 2024. During his studies, he mainly used self-supervised learning, large visual models, and generative models to enhance human gait-related tasks, involving applications such as gait recognition, generation, transfer, personalization, anonymization, and medicine. During his doctoral studies, Chao Fan established close collaborative relationships with domain experts from several institutions, including Southern University of Science and Technology, Beijing Normal University, Michigan State University, and Alibaba DAMO Academy. Over the past five years, Chao Fan has published 10 papers in top conferences and journals (CCF-A and ECCV), including 4 as first author (one T-PAMI paper and one CVPR Highlight Paper) and 4 as co-first author. His work has been cited over 1,000 times on Google Scholar (as of March 2025). The code for all of these publications is open-sourced in the OpenGait repository: https://github.com/ShiqiYu/OpenGait. If you are interested in Chao Fan's research, please contact him!
Academic Services: Long-term reviewer for top conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, and the top journal T-PAMI.
Research Vision: To endow computers and robots with visual perception, understanding, and imagination capabilities.
Educational Background:
(1) September 2021 - December 2024: Southern University of Science and Technology, Mathematics, PhD (trained by the Department of Computer Science, graduated early)
(2) September 2018 - March 2021: University of Science and Technology Beijing, Control Science and Engineering, Master of Engineering (recommended for admission without examination)
(3) September 2014 - June 2018: Xi'an University of Technology, Electrical Engineering and Intelligent Control, Bachelor of Engineering
Awards:
(1) 2023 National Scholarship for Doctoral Students
(2) 2016 First Prize in the National Undergraduate Mathematical Modeling Contest (Undergraduate Group)
Work Experience:
(1) January 2025 - Present: Assistant Professor, Shenzhen University
Recruitment Information:
(1) Basic Information: 2-3 Master's students/year, majoring in Computer Technology. Students with backgrounds in Computer Science, Automation, and Statistics are welcome! (2) Mentoring Experience: During my doctoral studies, I assisted my supervisor in mentoring three master's students, who published in GaitEdge@ECCV2022, BigGait@CVPR2024, MultiGait@AAAI2025, and DenoisingGait@CVPR2025 respectively. Fan Chao participated as a co-first author in the stages of idea development, model design, experimental setup, paper writing, and rebuttal.
(3) Supervisor Profile: A young professor born after 1996, a seasoned pet owner, a gaming novice, whose hobbies include traveling and sightseeing. His self-description is, "Just call me Xiao Fan."
(4) Work Atmosphere: There will be some pressure, but Fan emphasizes work-life balance and will maintain a relatively relaxed and lively research atmosphere. For details, you can consult my three master's students who collaborate with me: J. Liang, D. Ye, and D. Jin, email: {12132342, 11911221, 11810121}@mail.sustech.edu.cn
(5) Admission Requirements: Good foundation + strong academic interest. If you are interested, please contact Fan in advance! Thank you! (Students planning to pursue a PhD abroad are especially welcome.)
Something More: After completing the graduation requirements (completing classes + publishing in top conferences/journals), provided that you comply with the school and laboratory regulations, Fan will try his best to support students in internships/visiting abroad/graduating early (Fan has done all three and benefited greatly from them).
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