Hangyu Li

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Hangyu Li

Hangyu Li

Assistant Professor @ IIP Lab
State Key Laboratory of Integrated Services Networks, Xidian University.

Address: North Campus, Xidian University
No. 2 South Taibai Road, Xi’an, Shaanxi, China.
E-mail: lihangyu [at] xidian.edu.cn (Preferred); hangyuli.xidian [at] gmail.com
[Google Scholar] [Github] [ORCID] [DBLP] [ResearchGate]

Biography

    I am currently an Assistant Professor within IIP Lab in the State Key Laboratory of Integrated Services Networks at Xidian University. Previously I was a Post-doctoral Research Fellow in the TMLR group (headed by Dr. Bo Han), Department of Computer Science at Hong Kong Baptist University. 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.

    My research focuses on trustworthy machine learning and practical application of multimodal emotion understanding and generation, semi-supervised learning, and multi-label learning. I have published several articles in refereed journals and proceedings, including IEEE TIP, IEEE TAFFC, IEEE TMM, IEEE TCSVT, CVPR, and IJCAI. Over the years, I have served as an area chair of IJCNN, and guest editors of Machine Learning and Symmetry. I have also served as conference program committee/reviewer for several top-tier conference and journals, such as CVPR, ICCV, NeurIPS, ICML, ICLR, IEEE TIP, and 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

  • Assistant Professor (July 2025 -- Now)

    • State Key Laboratory of Integrated Services Networks, Xidian University

  • Postdoc (July 2023 -- June 2025)

    • 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

Education

  • Ph.D. in Information and Telecommunications Engineering (June 2023)

    • School of Telecommunications Engineering,
    Xidian University, Xi'an, China.
    Advised by Prof. Nannan Wang

  • B.Eng. in Electronic and Information Engineering (June 2017)

    • School of Information Science and Engineering,
    Shandong University, Jinan, China.
    Advised by Prof. Xianye Ben