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Research Interests
- Machine Learning
- Computer Vision
- Vision-Language
- Few-shot Learning
- Visual Reasoning
Work Experience
- (2021 - 2025) Research Assistant, AI Lab, Sustech, Shenzhen
- (2020 - 2021) Lecture, Neusoft Institute Guangdong, Foshan
- (2018 - 2020) Software Engineer, SAP, Shanghai
- (2016 - 2018) Software Engineer, The University of Southern Mississippi
Paper
- Yi Zhang, Ce Zhang, Ke Yu, Yushun Tang, Zhihai He. Concept-Guided Prompt Learning for Generalization in Vision-Language Models. AAAI2024.
- Yi Zhang, Ce Zhang, Zihan Liao, Yushun Tang, Zhihai He. BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning. British Machine Vision Conference 2023 (BMVC2023).
- Xueting Hu, Ce Zhang, Yi Zhang, Ke Yu, Zhihai He. Learn to Adapt CLIP for Few-Shot Monocular Depth Estimation. Submitted to Winter Conference on Computer Vision (WACV), 2024. (Project Lead)
- Yi Zhang, Ce Zhang, Xueting Hu, Zhihai He. Unsupervised Prototype Adapter for Vision-Language Models. The 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV2023).
- Yi Zhang, Ce Zhang, Yushun Tang, Zhihai He. Cross-Model concept learning and reference for Vision-Language Models. Neurocomputing. (Under review)
- Yi Zhang, Ce Zhang, Zhihai He. Distribution Learning Adapter for Vision-Language Models. (Preprint)
- Yushun Tang, Shuoshuo Chen, Zhehan Kan, Yi Zhang, Qinghai Guo, Zhihai He. Learning Visual Conditioning Tokens to Clean Up Domain Shift for Fully Test-Time Adaptation. IEEE Transactions on Circuits and Systems for Video Technology(TCSVT) (Under review)
Graduation Destination
- Assistant Professor, School of Computer and Software, Shenzhen University
Education
- Ph.D. in Artificial Intelligence, 2021-2025
Southern University of Science and Technology - M.S in Information System, 2015-2016
The University of Texas - B.E in Software Engineering, 2009-2015
Northeastern University