Education Background
Sep.2013 – Jul. 2018 Ph.D. Software Engineering, Tsinghua University
Sep.2009 – Jul. 2013 B.Eng. School of Software, Tsinghua University
Work Experience
Nov. 2020 – Present Associate Researcher/Assistant Dean, BNRist, Tsinghua University
Jul. 2018 – Oct.2020 Postdoc. at Department of Automation, Tsinghua University
Research Areas
（1）Brain inspired AI
（2）Computer Vision
（3）Intelligent Medicine
Research Overview
My research interest is in the fundamental theory and technology of artificial intelligence and computer vision. Recently, I focus on the new theories, algorithms, and applications of “heterogeneous brain” with multi-brain-region collaboration and multi-type neurons inspired by brain and cognitive mechanisms.
Google Scholar：https://scholar.google.com/citations?user=PNMUgAoAAAAJ&hl=en
DBLP：https://dblp.org/pid/132/7979.html
Awards and Honors
(1) First Prize of Science and Technology Progress Award of CIE (2025)
(2) Promising Scientist Award of Damo Academy (2024)
(3) Outstanding Young Scholar Award of CAAI (2022)
(4) Tsinghua University Outstanding Postdoc Award (2020)
(5) First Prize of Science and Technology Progress Award of CAAI (2020)
(6) Tsinghua University Academic Rising Star Award (2018)
(7) Tsinghua University Top Scholarship (2017)
Academic Achievements
Representative Publications (# co-first author, *corresponding author)：
[1] Yuchen Guo et al.; Deep learning with weak annotation from diagnosis reports for detection of multiple head disorders: a prospective, multicentre study, The Lancet Digital Health, 2022, 4(8)：e584-e593.
[2] Ruijie Tang#, Hengrui Liang#, Yuchen Guo#, et al; Pan-mediastinal neoplasm diagnosis via nationwide federated learning a multicentre cohort study, the Lancet Digital Health, 2023, 5：560-70.
[3] Zihao Bo, Yuchen Guo*, et al.; Relay learning: a physically secure framework for clinical multi-site deep learning, NPJ Digital Medicine, 2023, 6(1)：204-204.
[4] Aohan Liu, Yuchen Guo*, et al.; Automatic intracranial abnormality detection and localization in head CT scans by learning from free-text reports, Cell Reports Medicine, 2023, 4(9).
[5] Xiaohan Ding, Yuchen Guo*, et al.: ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. ICCV 2021: 4490-4500
