Hangyu Li (HKBU)
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Hangyu Li
PostDoc @ TMLR Group
Department of Computer Science, Hong Kong Baptist University.
Address: Level 06, David C Lam Building (DLB)
Shaw Campus, Hong Kong Baptist University
Kowloon Tong, Hong Kong SAR, China.
E-mail: hangyuli.xidian [at] gmail.com (Preferred); cshyli [at] comp.hkbu.edu.hk
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Biography
I am a Post-doctoral Research Fellow in the TMLR group (headed by Dr. Bo Han), Department of Computer Science at Hong Kong Baptist University. My research interests mainly include trustworthy machine learning and practical application of facial expression analysis (synthesis/recognition), semi-supervised learning, and multi-label learning.
Prior to that, I received my Ph.D. degree in information and telecommunications engineering from Xidian University in 2023, advised by Prof. Nannan Wang. I received my B.Eng. degree in electronic and information engineering from Shandong University in 2017, advised by Prof. Xianye Ben. During my Ph.D., I was fortunate to be a research intern at Intellifusion advised by Dr. Xiaoyu Wang (IEEE Fellow). I was also a research intern in the Computer Vision Group at Tencent AI Lab advised by Dr. Zhifeng Li.
Over the years, I have served as conference program committee/reviewer for several top-tier conference and journals, such as IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Conference on Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), International Conference on Learning Representations (ICLR), IEEE Transactions on Image Processing (IEEE-TIP), and IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS).
Research Interests
My research interests lie in computer vision, machine learning, and affective computing. Specifically, my current research work center around three major topics towards trustworthy facial expression analysis:
Annotation-efficient Learning: Learning with limited annotated data, class-imbalanced data, and noisy data.
Learning from Natural Language: Adapting foundation models for visual emotion analysis.
Multi-label Learning: Exploring data associated with multiple fine-grained classes.
Research Experience
Postdoc (July 2023 -- Present)
Department of Computer Science, Hong Kong Baptist University
Research Intern (July 2019 -- October 2019)
Tencent AI Lab
Research Intern (June 2018 -- September 2018)
Shenzhen Intellifusion Technologies Co Ltd
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