About 中文
I’m now an Assistant Professor in Department of Computer Science and Technology, School of Informatics, Xiamen University. I received my PhD degree on computer science from Hong Kong Baptist University in 2019 supervised by Prof. Yiu-ming Cheung and received my bachelor and master degree on software engineering from University of Macau in 2012 and 2014, supervised by Prof. Yuan Yan Tang. I was a research intern at Tencent in 2018. My research interest includes artificial intelligence, machine learning. My research direction is trustworthy deep learning, including long-tail learning, federated learning, label-noise learning and continual learning.
For undergraduate students, please check 本科招生简章. For postgraduate students, please check 硕士招生简章.
There is still a few postgraduate quota in Fall 2024. Please contact me ASAP.
Recent News
- Dec 9 2023: Three AAAI papers are accepted!
- Aug 24 2023: One NSFC general project is granted.
- July 14 2023: One ICCV paper is accepted. Congrats to Yiliang!
- May 27 2023: One co-authored TIP paper is accepted.
- Mar 28 2023: Congrats to Xinyi for receiving the PhD offer from UCL supported by UCL-CSC scholarship!
- Feb 28 2023: One CVPR paper is accepted. Congrats to Yan!
- Apr 21 2022: One IJCAI paper is accepted. Congrats to Xinyi!
- Mar 2 2022: One co-authored CVPR paper is accepted.
- July 4 2021: One co-authored ACMMM paper is accepted.
- Jun 20 2021: One co-authored ECML-PKDD paper is accepted.
- Apr 15 2021: One co-authored TIE paper is accepted.
- Dec 24 2020: One Zhejiang Lab open project is granted.
- Sep 18 2020: One NSFC youth project is granted.
- Sep 11 2020: One provincial general project is granted.
- Mar 12 2020: Teach for one semester at Xiamen University Malaysia.
- Dec 10 2019: Join the Center for PAMI at Xiamen University.
Research Interests
- Deep learning
- Long-tail learning
- Federated learning
- Noisy-label learning
- Continual learning
- Semi-supervised Learning
Supervised Students
- Pinxin Qian (2020-2023, Employed in Alibaba): Federated learning
- Xinyi Shang (2020-2023, Pursuing PhD at UCL): Federated learning
- Yiliang Zhang (2021-): Label-noise learning
- Yan Jin (2021-): Long-tail learning
- Xiaolin Huang (2021-): Semi-supervised learning
- Fengling Lu (2021-): Federated learning
- Chenxing Hong (2022-): Continual learning
- Lin Chen (2022-): Federated learning
- Liyuan Wang (2022-): Long-tail learning
- Yijie Liu (2023-): Federated learning
- Shanshan Yan (2023-): Federated learning
- Yizhou Chen (2023-): Semi-supervised learning
- Hezhao Liu (2023-): Continual learning