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Hongming Shan, PhD IEEE/CCF Senior Member Professor (PI) Institute of Science and Technology for Brain-inspired Intelligence MOE Frontiers Center for Brain Science Fudan University |
I am a Professor at the Institute of Science and Technology for Brain-inspired Intelligence, Fudan University. Before joining Fudan, I worked as a Research Scientist under the mentorship of Prof. Ge Wang at the Biomedical Imaging Center, Rensselaer Polytechnic Institute. I received my Ph.D. in Machine Learning from Fudan University in 2017, under the supervision of Prof. Junping Zhang.
My research interests span machine learning, computer vision, and medical imaging, with an emphasis on generative AI, medical image reconstruction, and brain disease analysis. More recently, I am interested in developing multi-modal foundation models for medical imaging. More details about my work can be found on my research page.
I currently serve as Deputy Editor-in-Chief of IEEE Transactions on Medical Imaging (TMI) (2026–present), having previously served as Managing Editor (2025). An editorial detailing the Criteria for TMI Papers has recently been published. For TMI-related correspondence, please contact me at hmshan AT ieee.org. For inquiries regarding manuscript status, please contact Dr. Jennifer Ferina. Additional information is available on the TMI Editorial Board page.
Recent News
- 2026-01: ProMoE is accepted by ICLR 2026; Editorial on AI Reviewer (AIR) Trial is accepted by IEEE TMI
- 2025-06: DreamRelation is accepted by ICCV 2025; NEED for generalizable CT reconstruction is accepted by MedIA
- 2025-05: AR-Seg and ICG are early accepted by MICCAI 2025; DEmoFace and PROTOCOL are accepted by ICML 2025
- 2025-02: SCAN-PhysFed for low-dose CT denoising is accepted by CVPR 2025
- 2025-01: RISE-MAR for Generalizable CT MAR is accepted by IEEE TMI
- 2024-12: UniAda for generalizable medical image segmentation is accepted by IEEE TMI
- 2024-09: DDPath for explainable AI is accepted by NeurIPS 2024; PrideDiff for low-dose CT is accepted by IEEE TRPMS
- 2024-07: IQAGPT for CT IQA with ChatGPT is accepted by Visual Computing; Mitigating semantic discrepancy in stable diffusion is accepted by IEEE/CAA JAS; HiDiff for medical image segmentation is accepted by IEEE TMI
Selected Publications
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Competitive Performance of a Modularized Deep Neural Network Compared to Commercial Algorithms for Low-Dose CT Image Reconstruction
H. Shan, A. Padole, F. Homayounieh, U. Kruger, R. D. Khera, C. Nitiwarangkul, M. K. Kalra and G. Wang
Nature Machine Intelligence, 1(6), 269–276, 2019
[DOI][arXiv][PDF][Sup][Code][Press: NIH/NIBIB, RPI News, EurekAlert!, Physicsworld, HealthImaging, Value Walk, and so on] (ESI highly cited paper, World Artificial Intelligence Conference Youth Outstanding Paper Award) -
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
Z. Huang, J. Zhang and H. Shan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 7917-7932, 2023
[DOI][arXiv][Code] (Journal version of CVPR 2021 Oral paper) -
Learning Representation for Clustering via Prototype Scattering and Positive Sampling
Z. Huang, J. Chen, J. Zhang and H. Shan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 7509-7524, 2023
[DOI][arXiv][Code] -
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
H. Shan, Y. Zhang, Q. Yang, U. Kruger, M. K. Kalra, L. Sun, W. Cong and G. Wang
IEEE Transactions on Medical Imaging, 37(6), 1522-1534, 2018
[DOI][arXiv][Code][Press: Lindau Nobel Laureate Meetings, Photonics Media] (ESI highly cited paper) -
LICO: Explainable Models with Language-Image Consistency
Y. Lei, Z. Li, Y. Li, J. Zhang and H. Shan
International Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, Dec. 10-16, 2023
[DOI][arXiv][Code] -
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography
H. Chao, H. Shan, F. Homayounieh, R. Singh, R. D. Khera, H. Guo, T. Su, G. Wang, M. K. Kalra and P. Yan
Nature Communications, 12, 2963, 2021
[DOI][arXiv][Code][Press: DiagnosticImaging, RPI News, EurekAlert!, HealthImaging, and so on]
Courses
- Introduction to Machine Learning (Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025)
- Lectures on Data Science and Big Data Technology (Fall 2025)
- Seminar Course (Fall 2022, Fall 2023, Fall 2024, Fall 2025)
- Advanced Machine Learning (Spring 2022, Spring 2023)
Contact Information
- Email: hmshan AT fudan.edu.cn
- Office: East 210, ISTBI Building
- Address: Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, 825 Zhangheng Road, Pudong New Area, Shanghai 201203, China