I am a Postdoc in the Department of Electronic and Computer Engineering at The Hong Kong University of Science and Technology, a member in Prof. Xiaomeng Li's Lab. I received my Ph.D. degree in the Geometric Perception and Intelligence Research Lab (Gorilla Lab) at South China University of Technology, advised by Prof. Kui Jia. Before that, I received my B.E. degree majoring in Information Engineering at South China University of Technology.

My research interests include deep learning, pattern recognition, computer vision and medical imaging. My research directions include transfer learning, domain adaptation, semi-supervised learning, etc.

I serve as a reviewer for many international top conferences and journals, e.g., CVPR, ICCV, NeurIPS, ICML, ICME, IEEE TIP, IEEE TNNLS, Pattern Recognition, Neural Networks, TMLR, etc.

Download my CV for more details.

• Personal Pages: https://huitangtang.github.io (updated recently🔥)
• Google Scholar: https://scholar.google.com/citations?user=eqVvhiQAAAAJ
• ResearchGate: https://www.researchgate.net/profile/Hui-Tang-38

• 2023.09: I have been a Postdoc in Dept. ECE at HKUST. 🎉
• 2023.07: I have received my PhD degree. 🎉
• 2023.07: My google scholar citations have exceeded 900. 🎉
• 2023.06: I pass the PhD thesis defence and my thesis is appraised as excellent. 🎉
• 2023.05: A new synthetic-to-real benchmark S2RDA is published by the CVF repository. 🎉
• 2023.02: A conference paper is accepted by CVPR in 2023. 🎉
• 2022.10: A conference paper is published by ECCV in 2022. 🎉
• 2022.10: A journal paper is published by TPAMI in 2022. 🎉
• 2022.06: A conference paper is published by CVPR in 2022. 🎉