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Resume (English only)
Academic Achievements
Published several papers on Gait Recognition such as 'Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark' (TPAMI 2023), 'OpenGait: Revisiting Gait Recognition Toward Better Practicality' (CVPR 2023, Highlight), 'BigGait: Learning Gait Representation You Want by Large Vision Models' (CVPR 2024); Served as a reviewer for top conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML) and journals (T-PAMI); Won First Prize in China Undergraduate Mathematical Contest in Modeling (CUMCM 2016) and First Prize in China National Scholarship for Doctoral Students (2023).
Research Experience
Remote visit at CV Lab, Michigan State University (Sep. 2023 - Mar. 2024), working on BigGait under the supervision of Prof. Xiaoming Liu; Invited Talk: Progress in Gait Recognition (Mar. 2024).
Education
Ph.D. candidate in Computer Science at Southern University of Science and Technology (SUSTech), Shenzhen, China. Advisor information not provided.
Background
Ph.D. candidate in Computer Science, with research interests in Gait Recognition, Self-Supervised Learning, Large Vision Models, and Generative Models. Currently seeking Internship or Visiting opportunities to end the Ph.D. career and start a new life stage. Future research directions may revolve around Human-Centered Vision Tasks, particularly Representation Learning and Conditional Generative Models.