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Hangyu Li
Assistant Professor @ IIP Lab
Address: Yanta Campus, Xidian University |
Biography (个人简介)
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Hangyu Li is currently an Assistant Professor within IIP Lab in the State Key Laboratory of Integrated Services Networks at Xidian University. He was a Post-doctoral Research Fellow with the TMLR Group, Hong Kong Baptist University (2023-2025), working with Prof. Bo Han. He received his B.Eng. in Electronic and Information Engineering from Shandong University (2013-2017), advised by Prof. Xianye Ben, and his Ph.D. in Information and Telecommunications Engineering from Xidian University (2018-2023), advised by Prof. Nannan Wang. His research focuses on trustworthy machine learning and practical application of multimodal emotion understanding and generation, semi-supervised learning, and multi-label learning. He has published several articles in refereed journals and proceedings, including IEEE TPAMI, IEEE TIP, IEEE TAFFC, IEEE TMM, IEEE TCSVT, CVPR, and IJCAI. He has served as Area Chairs of ICASSP and IJCNN, Associate Editor of Scientific Reports, and Guest Editors of Machine Learning and Symmetry. He has also served as conference program committee/reviewer for several top-tier conference and journals, such as CVPR, ICCV, NeurIPS, ICML, ICLR.
李航宇，西安电子科技大学空天地一体化综合业务网全国重点实验室华山准聘副教授，陕西省高层次青年人才。于2017年在山东大学获工学学士学位，于2023年在西安电子科技大学获工学博士学位，并于2023年至2025年在香港浸会大学从事博士后研究工作。主要研究方向为多模态情感理解与生成，近五年以第一/通信作者在IEEE TPAMI、IEEE TIP、IEEE TAFFC、IEEE TMM、CVPR、IJCAI等国际期刊和会议上发表论文10篇，作为牵头单位成员制定1项电子行业标准（排序第4）。入选三秦英才引进计划青年人才、国家资助博士后研究人员计划B档，主持国家自然科学基金青年科学基金项目（C类）、中国博士后科学基金面上资助项目、陕西省自然科学基础研究计划青年项目（C类）、陕西省博士后科研项目等。受邀担任国际会议ICASSP和IJCNN领域主席，国际期刊Scientific Reports副编辑、Machine Learning和Symmetry客座编辑等。
News (新闻)
2026.08, I reveived the NSFC Young Scientists Fund
我获得国家自然科学基金青年科学基金项目（C类）资助2026.07, I reveived the Postdoctoral Fellowship Program (Grade B) of China Postdoctoral Science Foundation
我获得国家资助博士后研究人员计划B档资助2026.04, I reveived the Young Talent of Shaanxi Province
我入选陕西省三秦英才引进计划青年人才
Research Interests (研究领域)
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My research interests lie in computer vision, machine learning, and affective computing. Particularly, I'm interested in trustworthy machine learning and practical application of multimodal emotion understanding and generation, semi-supervised learning, and multi-label learning.
我的研究方向主要为计算机视觉、机器学习及情感计算问题。特别地，我关注可信机器学习，以及多模态情感理解与生成、半监督学习和多标签学习的实际应用等。