I am a Postdoctoral Research Fellow in the Department of Electronic and Computer Engineering at The Hong Kong University of Science and Technology, a core 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, medical image analysis, and healthcare prediction. I am particularly focused on advancing methodologies and techniques in transfer learning, domain adaptation, semi-supervised learning, clustering, data synthesis, large models, etc.
I actively serve as a reviewer for numerous prestigious conferences and journals, including CVPR, ICCV, AAAI, NeurIPS, ICML, ICLR, ICME, TIP, TNNLS, JBHI, ESWA, PR, NEUNET, NEUCOM, and TMLR, among others.
- 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
- 2024.11: My google scholar citations have exceeded 1300. 🎉
- 2024.02: A conference paper is accepted by CVPR in 2024. 🎉
- 2023.09: I have been a Postdoc in Dept. ECE at HKUST. 🎉
- 2023.07: I have received my PhD degree. 🎉
- 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. 🎉