About Me

Haonan Huang is currently pursuing the Ph.D. degree with Prof. Guoxu Zhou in the School of Automation at Guangdong University of Technology (GDUT), Guangzhou, China, from 2021. In the meantime, he is a two-year jointly-trained Ph.D. student in the RIKEN AIP, Tokyo, Japan, from March 2023 to March 2025, working with Prof. Qibin Zhao, and supported by the China Scholarship Council. He is also a visiting scholar of Lehigh University, Bethlehem, U.S., from July 2022 to July 2023, working with Prof. Lifang He.

Now he is currently seeking a postdoctoral position for the year 2025, with a particular focus on opportunities in Hong Kong, Macau, or Singapore.

E-mail: libertyhhn@foxmail.com
Motto: One day, in retrospect, the years of struggle will strike you as the most beautiful.

Research Interests

His research interests include computer vision and pattern recognition. Now he focuses on the study of Representation Learning, Self-supervised learning, Tensor Learning, Low-rank Models, Matrix Factorization (NMF), and their application in data classification/clustering, multi-view learning, and adversarial attacks.
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  Prof. Kasai has released an NMF codes library, which contains most of the classic NMF models, very helpful for beginners of NMF.
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  Dr. Liang has released a Multi-view open source project, called "Multi-view learning methods with code", very helpful for beginners of Multi-view Learning.
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  Prof. Qibin's Tensor Learning Team Homepage, has some source codes about Tensor Decomposotion Toolbox, very helpful for beginners of Tensor Learning.

• Last Updated: 2024.05.05