Biography

I am a Professor at the School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB). My research centers on human–AI collaboration and affective computing across computer and cognitive science. I received my Ph.D. from Beijing Institute of Technology under Prof. Yue Liu, and completed joint doctoral training at Harvard Medical School / Brigham and Women’s Hospital (2015–2017) co-advised by Prof. Jeremy M. Wolfe, Member of the American Academy of Arts and Sciences. As principal investigator, I lead NSFC projects and a subproject of a national science and technology major initiative. I am a recipient of the Young Elite Scientist Sponsorship Program (BAST). I have published over 40 papers in IEEE Transactions, CVPR, ICML, AAAI, ACM MM, NeurIPS, and own 10+ authorized invention patents. I won the First Prize of the 2024 Beijing Natural Science Award (3rd contributor). I currently serve as Deputy Secretary-General of the China Society of Image and Graphics.

中文简介:邹博超,北京科技大学计算机与通信工程学院教授、博导,北理工-哈佛大学医学院联合培养博士,北航-中电科联合培养博士后,适人协同智能重点学科与技术研究中心副主任,中国图象图形学学会理事、副秘书长,社会安全风险感知与防控大数据应用国家工程研究中心特聘专家。主要从事人机协同与情感计算方向研究,作为负责人先后承担国自然面上、青年基金、国自然联合基金课题、新一代人工智能重大项目子课题,参与国自然重大仪器项目,入选北京市青年人才托举工程、北科青年学者,第一/通讯作者在IEEE Trans.、CVPR、ICML、NeurIPS、AAAI、ACM MM等发表SCI/EI论文四十余篇,授权发明专利十余项,曾获2024年北京市自然科学一等奖,2021年中国电子科技集团科学技术一等奖。

Join us:

We are looking for motivated interns, PhD/master/undergraduate students. If you are interested in working with us, please feel free to drop me an email! 欢迎有推免名额同学联系,招收2027年9月入学硕士生2-3名、博士生1-2名!

Interests
  • Human AI collaboration
  • Affective computing
Education
  • Ph.D. at Beijing Institute of Technology, 2018

    Beijing Institute of Technology

  • Joint Training Ph.D. student at Harvard Medical School, 2017

    Harvard Medical School

  • Bachelor at Beijing Institute of Technology, 2013

    Beijing Institute of Technology

Recent News

  • [Jul. 2026] We have organized an academic forum on Intelligent Interactive Digital Humans at the 2026 CSIG Young Scientists Conference (Aug. 4).
  • [Jul. 2026] We will host a Special Session on Subtle Visual Computing at ChinaMM 2026 (Aug. 1st). Stay tuned!
  • [Jul. 2026] 1 paper accepted by ACM MM 2026
  • [Jul. 2026] 1 paper accepted by ISMAR 2026
  • [Jun. 2026] 2 papers accepted by IEEE TCSVT
  • [Feb. 2026] 3 paper accepted by CVPR 2026
  • [Dec. 2025] 1 paper accepted by IEEE Transactions on Intelligent Transportation Systems
  • [Sep. 2025] 1 paper accepted by NeurIPS 2025. AGC-Drive, the first real-world large-scale dataset for Aerial-Ground Cooperative 3D perception in driving scenario.
  • [Aug. 2025] Invited Talk at China MM 2025:微视觉计算高效时空建模方法研究
  • [Aug. 2025] 1 paper accepted by ACM MM 2025
  • [Aug. 2025] We won the 2025 ACM MM MEGC Challenge (1st for the STR Task)
  • [Jul. 2025] 1 paper accepted by ICCV 2025 Highlight
  • [Jun. 2025] 1 paper accepted by ICML 2025
  • [Apr. 2025] 1 paper accepted by ICASSP 2025 Oral Presentation
  • [Jan. 2025] 2 paper accepted by Pattern Recognition
  • [Dec. 2024] 3 Papers accepted by AAAI 2025
  • [Jun. 2024] 1 paper accepted by ICML 2024

Publications

Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images
[CVPR 2026]
Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images
Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models
[CVPR 2026]
Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models
AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios
[NeurIPS 2025]
AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios
Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression
[ACM MM 2025]
Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression