Scholar
Hongming Shan
Google Scholar ID: RYfSzKwAAAAJ
Fudan University; Rensselaer Polytechnic institute
Citations & Impact
Citations
6,923
H-index
38
i10-index
90
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published over 100 academic papers in top international journals and conferences, with more than 6500 citations on Google Scholar and an h-index of 36. Published more than 50 papers as the first author or corresponding author (including co-corresponding) in Nature Machine Intelligence, IEEE TPAMI, IEEE TMI, NeurIPS, ICML, CVPR, ICCV, etc. Has led multiple research projects funded by the National Natural Science Foundation of China, including the Excellent Young Scientists Fund (Overseas), General Program, and Youth Program. Received several prestigious awards, including the World Artificial Intelligence Conference Young Outstanding Paper Award, Best Paper Award at the Chinese Social Computing Conference, ESI Highly Cited Papers, and Core Papers in Research Frontiers.
Research Experience
- Previously a Research Scientist working with Prof. Ge Wang at the Biomedical Imaging Center, Rensselaer Polytechnic Institute. Currently a Professor at the Institute of Science and Technology for Brain-inspired Intelligence, Fudan University.
Education
- Received a Ph.D. in machine learning from Fudan University in 2017, under the supervision of Prof. Junping Zhang.
Background
- Professor (PI) at the Institute of Science and Technology for Brain-inspired Intelligence, Fudan University. Research interests include machine learning, computer vision, and medical imaging and analysis, particularly in representation learning, generative AI, medical image reconstruction, and brain disease analysis.
Miscellany
- Selected for multiple talent programs, including the National High-level Overseas Young Talent Program, Shanghai High-level Overseas Talent Introduction Program, and Pudong New Area 'Bright Pearl' Elite Talent Project. Ranked among the top 2% of scientists globally in the field of artificial intelligence for four consecutive years by Stanford University. Invited reviewer for authoritative international journals such as Nature Medicine and Nature Communications. Currently serving as the Managing Editor of IEEE TMI.
