• 2021-2023: ETH Zurich, Computer Science and Technology, Postdoctoral (Full-time)
• 2015-2019: Nankai University, Software Engineering, Doctoral Degree (Full-time)

Work Experience 

• 2025.09-Present: Professor, SLAI
• 2023.10-Present: Professor, School of Computer Science, Nankai University
• 2019.07-2021.12: Researcher & Supervisor, IIAI, United Arab Emirates
• 2019.05-2019.07: Senior Algorithm Engineer, Alibaba DAMO Academy

Deng-Ping Fan is a Professor and Department Chair at the School of Computer Science, Nankai University. He used to be a postdoctoral fellow at ETH Zurich and served as a Research Director at IIAI (UAE). His main research focuses on AI4Science, cognitive computing, and artificial intelligence. He has over 40,000 Google Scholar citations, an h-index of 66, and a single paper with more than 7k citations. He is the recipient of the MICCAI Young Scientist Publication Impact Award and has 2 CVPR Best Paper Nominations. He acts as an Associate Editor for IEEE TPAMI and has served as an Area Chair for CVPR/ICML/NeurIPS several times. Cooperation in AI for science and biomedical engineering fields and applications from outstanding students are welcome.

1. Representative Publications (past 5-10 years, in order of impact)：

D.P. Fan, G.P. Ji, T. Zhou, G. Chen, H. Fu*, J. Shen*, and L. Shao. Pranet: Parallel reverse attention network for polyp segmentation. In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020, (6): 263-273 (MICCAI2025 Young Scientist Publication Impact Award)

D.P. Fan, W. Wang, M.M. Cheng*, and J. Shen. Shifting more attention to video salient object detection. In Conference on Computer Vision and Pattern Recognition (CVPR), 2019 (CCF A 类，Best Paper Finalist)

J. Zhang, D.P. Fan*, Y. Dai, S. Anwar, FS. Saleh, T. Zhang, N. Barnes. UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. In Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (CCF A 类，Best Paper Nominees)

M. Zhuge^, H. Liu^, F. Faccio^, DR. Ashley^, R. Csordás, ..., D.P. Fan*, B. Ghanem*, J. Schmidhuber*. Mindstorms in Natural Language-Based Societies of Mind. NeurIPS workshop, 2023, (Best Paper)

D.P. Fan, J. Zhang, G. Xu, M.M. Cheng*, and L. Shao. Salient objects in clutter. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, 45(2): 2344-2366 (SCI 1区，DOI: 10.1109/TPAMI.2022.3166451)

D.P. Fan, G.P. Ji, M.M. Cheng*, and L. Shao. Concealed object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, 44(10): 6024-6042 (SCI 1区，DOI: 10.1109/TPAMI.2021.3085766)

D.P. Fan, T. Li, Z. Lin, G.P. Ji, M.M. Cheng*, D. Zhang, H. Fu, and J. Shen. Re-thinking Co-Salient Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022, 44(8): 4339-4354 (SCI 1区，DOI: 10.1109/TPAMI.2021.3060412)

2. Books/Monographs：

Cognitive-inspirited Salient Object Detection Models and Benchmarks, Beijing: China Machine Press, 2023, Deng-Ping Fan.

How to Accurately Identify Camouflaged Scenarios, Study Times - Frontier of Science and Technology, 2024, Deng-Ping Fan