Scholar
Shihui Ying
Google Scholar ID: dU6ePjIAAAAJ
Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University
Citations & Impact
Citations
2,970
H-index
29
i10-index
64
Publications
20
Co-authors
26
list available
Contact
Publications
Resume (English only)
Academic Achievements
- National Key R&D Program of China (2021YFA1003004): Multicenter/Cross-Modality Medical Image Analysis Based on Explainable Deep Learning, Apr 2022 - Mar 2027, Ongoing, Principal Investigator
- National Natural Science Foundation of China (11971296): Small Sample Learning Theory and Methods for Intelligent Analysis of Brain Images, Jan 2020 - Dec 2023, Completed, Principal Investigator
- National Natural Science Foundation of China (11471208): Optimization Models and Algorithms for Standardization of Brain Images, Jan 2015 - Dec 2018, Completed, Principal Investigator
- Shanghai Municipal Science and Technology Commission (18010500600): Early Diagnosis of Brain Diseases Based on Brain Image Processing and Intelligent Analysis, Apr 2018 - Mar 2021, Completed, Principal Investigator
- National Natural Science Foundation of China (61005002): Lie Group Methods for Data Set Registration and Their Applications, Jan 2011 - Dec 2013, Completed, Principal Investigator
- Selected Publications (since 2019):
- 1. Q Wang, Z Wen, J Shi, Q Wang, D Shen, S Ying*. Spatial and modal optimal transport for fast cross-modal MRI reconstruction. IEEE Transactions on Medical Imaging. 2024.
- 2. L Bao, J Lu, S Ying*, S Sommer. Sliding at first order: Higher-order momentum distributions for discontinuous image registration. SIAM Journal on Imaging Sciences. 17 (2), 861-887. 2024.
- 3. Y Feng, J Han, S Ying, Y Gao. Hypergraph isomorphism computation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Accepted. 2024.
- 4. Y Guo, X Wang, C Li, S Ying*. Domain adaptive semantic segmentation by optimal transport. Fundamental Research. 2023. DOI: 10.1016/j.fmre.2023.06.006
- 5. X Sheng, D Xiong, S Ying*. Intrinsic semi-parametric regression model on Grassmannian manifolds with applications. Communications in Statistics - Simulation and Computation. 2022. DOI: 10.1080/03610918.2022.2112961
- 6. L Bao, K Chen, D Kong, S Ying*, T Zeng. Time multiscale regularization for nonlinear image registration. Computerized Medical Imaging and Graphics. 112: 102331, 2024.
- 7. L Cai, J Shi, S Du, Y Gao, S Ying*, Self-adaptive subspace representation from a geometric intuition. Pattern Recognition. 149: 110228 2024.
- 8. Y Sun, L Wang, K Gao, S Ying, W Lin, K Humphreys, G Li, S Niu, M Liu, L Wang. Self-supervised learning with application for infant cerebellum segmentation and analysis. Nature Communications. 14: 4717, 2023.
- 9. H Wan, X Zhang, Y Zhang, X Zhao, S Ying, Yue Gao*. Structure evolution on manifold for graph learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45: 7751-7763, 2023.
- 10. Y Zhang, S Ji, C Zou, X Zhao, S Ying, Y Gao*. Graph learning on millions of data in seconds: label propagation acceleration on graph using data distribution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45: 1835-1847, 2023.
- 11. D Jin, M Yang, Z Qin, J Peng, S Ying*, A weighting method for feature dimension by semisupervised learning with entropy. IEEE Transactions on Neural Networks and Learning Systems. 34: 1218-1227, 2023.
- 12. D Xiong, S Ying*, H Zhu. Intrinsic partial linear models for manifold-valued data. Information Processing and Management. 59: 102954, 2022.
- 13. S Ji, Z Zhang, S Ying, L Wang, X Zhao, Y Gao*. Kullback-Leibler divergence metric learning. IEEE Transactions on Cybernetics. 52 (4): 2047-2058 2022.
Research Experience
- Jun 2024 - Present, Professor, Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University
- Mar 2017 - May 2024, Professor, Department of Mathematics, College of Science, Shanghai University (During this period: Dec 2019 - Dec 2020, Visiting Scholar, Medical Image Research Center, University of North Carolina at Chapel Hill)
- Mar 2011 - Feb 2017, Associate Professor, Department of Mathematics, College of Science, Shanghai University (During this period: Jul 2016 - Aug 2016, Visiting Scholar, National University of Singapore; Jan 2015 - Feb 2015, Visiting Scholar, Schrödinger Institute, University of Vienna, Austria)
- Jan 2012 - Jan 2013, Postdoctoral Fellow, Medical Image Research Center, University of North Carolina at Chapel Hill
- Jun 2008 - Feb 2011, Lecturer, Department of Mathematics, College of Science, Shanghai University
Background
- Research interests include mathematical theory and methods of artificial intelligence, geometric theory of inverse problems, AI4Medicine, and AI4Materials.
