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Hangyu Li

Hangyu Li
Huashan Assistant Professor

lihangyu xidian.edu.cn

About Me

Hangyu Li

Hangyu Li is a Huashan Tenure-track Associate Professor at the National Key Laboratory of Space-Ground Integrated Information Technology, Xidian University, and a member of the Intelligent Information Processing (IIP) team (PI: Prof. Nannan Wang). He received his B.Eng. degree in Electronic Information Engineering from Shandong University in 2017 (advisor: Prof. Xianye Ben), and his Ph.D. degree in Information and Communications Engineering from Xidian University in 2023 (advisor: Prof. Nannan Wang). From 2023 to 2025, he was a Postdoctoral Fellow with the Department of Computer Science, Hong Kong Baptist University (advisor: Prof. Bo Han).

His research interests include artificial intelligence and multimodal emotion understanding and generation. In the past five years, he has published 10 papers as first/corresponding author in international journals and conferences including IEEE TPAMI, IEEE TIP, IEEE TAFFC, IEEE TMM, CVPR and IJCAI, and contributed to one electronics industry standard as a member of the leading organization (ranked 4th). He has been selected into the Shaanxi Sanqin Yingcai Young Talent Program and the National Funded Postdoctoral Researcher Program (Category B), and has hosted the NSFC Young Scientists Fund (Category C), the China Postdoctoral Science Foundation General Program, the Shaanxi Natural Science Basic Research Program for Youths (Category C), and the Shaanxi Postdoctoral Research Project. He serves as Area Chair for ICASSP and IJCNN, Associate Editor of Scientific Reports, and Guest Editor for Machine Learning and Symmetry.

10

First/Corresponding

Publications
Experience

Education & Work Experience

2025.07 - Present

Huashan Tenure-track Associate Professor

National Key Laboratory of Space-Ground Integrated Information Technology, Xidian University
2023.07 - 2025.06

Post-doctoral Research Fellow

Department of Computer Science, Hong Kong Baptist University (Advisor: Dr. Bo Han)
2018.09 - 2023.06

Ph.D. in Information and Telecommunications Engineering

Xidian University (Advisor: Prof. Nannan Wang)
2013.09 - 2017.06

B.Eng. in Electronic and Information Engineering

Shandong University (Advisor: Prof. Xianye Ben)
2019.07 - 2019.10

Research Intern

Tencent AI Lab (Advisor: Dr. Zhifeng Li)
2018.06 - 2018.09

Research Intern

Shenzhen Intellifusion Technologies Co. Ltd. (Advisor: Dr. Xiaoyu Wang, IEEE Fellow)

Selected Publications

[Google Scholar]

2026

  • Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao: An Enhanced Adaptive Confidence Margin for Semi-Supervised Facial Expression Recognition. IEEE TPAMI, 2026.

2025

  • Hangyu Li, Yixin Zhang, Jiangchao Yao, Nannan Wang, Bo Han: Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition. IJCAI, 2025.
  • Hangyu Li, Yihan Xu, Jiangchao Yao, Nannan Wang, Xinbo Gao, Bo Han: Knowledge-Enhanced Facial Expression Recognition With Emotional-to-Neutral Transformation. IEEE TMM, 2025.
  • Yihan Xu, Hangyu Li, Mingrui Zhu, Nannan Wang, Xinbo Gao: Boosting Semi-Supervised Facial Attribute Recognition With Dynamic Threshold Pairs. IEEE TCSVT, 2025.

2024

  • Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao: Unconstrained Facial Expression Recognition With No-Reference De-Elements Learning. IEEE TAFFC, 2024.

2022

  • Hangyu Li, Nannan Wang, Xi Yang, Xinbo Gao: CRS-CONT: A Well-Trained General Encoder for Facial Expression Analysis. IEEE TIP, 2022.
  • Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao: Towards Semi-Supervised Deep Facial Expression Recognition With An Adaptive Confidence Margin. CVPR, 2022.
  • Hangyu Li, Nannan Wang, Mingrui Zhu, Xi Yang, Xinbo Gao: Recent Advances in Neural Architecture Search: A Survey. Journal of Software (in Chinese), 2022.

2021

  • Hangyu Li, Nannan Wang, Xinpeng Ding, Xi Yang, Xinbo Gao: Adaptively Learning Facial Expression Representation via C-F Labels and Distillation. IEEE TIP, 2021.
  • Hangyu Li, Nannan Wang, Yi Yu, Xi Yang, Xinbo Gao: LBAN-IL: A Novel Method of High Discriminative Representation for Facial Expression Recognition. Neurocomputing, 2021.
Service

Academic Service

Area Chair

ICASSP, IJCNN

Associate Editor

Scientific Reports

Guest Editor

Machine Learning (Springer), Symmetry (MDPI)

Conference Reviewer

CVPR, ICCV, NeurIPS, ICML, ICLR

Journal Reviewer

IEEE TPAMI, IEEE TIP, IEEE TNNLS, Scientific Reports