I am currently a tenure-track assistant professor at Beijing University of Posts and Telecommunications, working with Prof. Ping Zhang and Prof. Guangyu Wang. I received the Ph.D. degree from Tianjin University under the supervision of Prof. Changqing Zhang, who is the best mentor I could ask for, always providing valuable guidance and support. My research interests are on multimodal machine learning and their applications on smart medicine. I have published more than 10 papers in top international AI conferences and journals, including IEEE TPAMI, NeurIPS, ICLR, and CVPR, with a total of citations on Google Scholar. If you have any questions regarding my research, or may be interested in potential collaboration, or would like to discuss any other matters, please do not hesitate to contact me. I look forward to the opportunity to cooperate with you.

韩宗博,预聘助理教授(副高级职称),现任职于北京邮电大学信息与通信工程学院、网络与交换技术全国重点实验室,主要研究方向为多模态机器学习和智能医疗。2025年博士毕业于天津大学智能与计算学部,导师为张长青教授,博士就读期间曾在腾讯人工智能实验室、新加坡国立大学交流访问。2025年加入北京邮电大学王光宇教授团队,担任助理教授。目前,在ICML/NeurIPS/ICLR、CVPR/ICCV/ECCV、IEEE Trans.等国际会议和期刊上发表论文20余篇,受邀为IEEE TPAMI、CVPR、ICCV、ECCV、NeurIPS、ICML、ICLR等多个国际高水平期刊及会议审稿。论文谷歌学术引用次数达到 。曾荣获腾讯犀牛鸟精英科研人才,世界人工智能大会(WAIC)青年优秀论文提名奖,并主持了由国家自然科学基金资助的青年学生基础研究项目(博士研究生项目)。此外,作为主要完成人(唯一学生完成人)获得了2024年度天津市的自然科学一等奖。

随时欢迎具有自驱力&上进心的学生联系我开展研究合作,一起学习:)。 欢迎通过电子邮件微信与我联系。


His research focuses on:

  • 🔥 Multimodal Machine Learning: Trustworthy multi-modal learning,Vision-language model.
  • 🔥 Multimodal Learning + Healthcare: Medical image analysis, Trustworthy medical application.

📖 Education

  • 2021.09 - 2025.06, Tianjin University, Ph.D. in Computer Science.
  • 2019.09 - 2021.06, Tianjin University, Master’s in Computer Science.
  • 2015.09 - 2019.06, Dalian University of Technology, Bachelor’s in Communication Engineering.

🌍 Exchange Experience

  • 2023.10 - 2024.10, Show Lab, Visiting Student, Mentored by Mike Zheng Shou.
  • 2021.06 - 2022.07, Tencent AI Lab, Internship, Mentored by Jianhua Yao, Fan Yang, and Bingzhe Wu.

🎓 指导学生情况与致谢

我曾经有幸与天津大学张长青老师联合指导过很多师弟师妹,感谢导师和师弟师妹们的信任。

学生姓名 背景与现状 合作工作
Bolian Li 天大 ‘18 本 → Purdue University (PhD) 📄 Trustworthy Long-Tailed Classification (CVPR)
Yifeng Yang 天大 ‘20 本 → 上海交通大学 (PhD) 📄 Selective learning: Towards robust calibration with dynamic regularization
Tianchi Xie 天大 ‘20 本 → 清华大学 📄 Semantic Equivariant Mixup
Huan Ma 天大 ‘20 硕 → 天津大学 (PhD) 📄 Trustworthy Multimodal Regression… (NeurIPS)
Yichen Bai 天大 ‘21 硕 → 蚂蚁金服 📄 ID-like Prompt Learning for Few-Shot OOD Detection (CVPR)
Mengyao Xie 天大 ‘17 本,天大 ‘21 硕 → 中国银行 📄 Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification (CVPR)
Haiyun Yao 天大 ‘18 本,天大 ‘22 硕 → 天津大学 (PhD) 📄 Out-Of-Distribution Detection with Diversification (Provably) (NeurIPS)
Ruisong Han 天大 ‘22 硕 → 江苏银行 Retrieval-Augmented Prompt for OOD Detection(在投)
Peizhuo Sheng 天大 ‘18 本, 天大 ‘22 硕 → 建设银行总行  
Leyan Xue 天大 ‘20 本, 天大 ‘24 硕 (在读) 📄 MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking (AAAI)
Xuandong Tang 天大 ‘20 本,天大 ‘24硕 (在读) 📄 论文在投
Peilong Wu 天大 ‘24 硕 (在读) 📄 论文在投
Jialong Yang 天大 ‘21 本,天大 ‘25硕 (在读) 📄 DOTA: Distributional Test-Time Adaptation of Vision-Language Models (NeurIPS)