Scholar

Kun Shang

Google Scholar ID: N3ZIPaoAAAAJ

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

OptimizationSNNAI

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Citations & Impact

All-time

Citations

641

H-index

i10-index

Publications

Co-authors

list available

Contact

Emailkun.shang@siat.ac.cn

Publications

3 items

Vision-Language Models for Automated 3D PET/CT Report Generation

2025

Cited

Integer Binary-Range Alignment Neuron for Spiking Neural Networks

2025

Cited

Interactive Gadolinium-Free MRI Synthesis: A Transformer with Localization Prompt Learning

2025

Cited

Resume (English only)

Academic Achievements

R. X. Ding, D. K. Du, Z. H. Huang, Z. M. Li, K. Shang. Variational Feature Representation-based Classification for face recognition with single sample per person. Journal of Visual Communication and Image Representation, Volume 30, pp. 35-45, 2015.
Z. H. Huang, Z. M. Li, K. Shang*. A customized sparse representation model with mixed norm for undersampled face recognition. IEEE Transactions on Information Forensics & Security, Volume 11, Issue 10, pp. 2203 - 2214, 2016.
K. Shang, Z.H. Huang, W.Q. Liu, Z.M. Li. A single gallery-based face recognition using extended joint sparse representation. Applied Mathematics and Computation, Volume 320, pp. 99 - 115, 2018.
Y.F. Li, K. Shang*, Z.H. Huang. Low Tucker rank tensor recovery via ADMM based on exact and inexact iteratively reweighted algorithms. Journal of Computational and Applied Mathematics, Volume 331, pp. 64 - 81, 2018.
Y.H. Zhang, K. Shang, J. Wang, M.M.Y. Zhang. A Patch Strategy for Deep Face Recognition. IET Image Processing, Volume 12, Issue 5, 819-825, 2018.
R.X. Ding, X.Q. Wang, K. Shang*, L.B. Sheng, F. Herrera. Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making. IEEE Transactions on Fuzzy Systems, 2018.
M.M.Y. Zhang, K. Shang*, H.M. Wu. Learning Deep Discriminative Face Features by Customized Constraint. Neurocomputing, Volume 332, 71-79, 2019.
K. Shang, Y.F. Li, Z.H. Huang. Iterative p-shrinkage thresholding algorithm for low Tucker rank tensor recovery. Information Sciences, Volume 482, 374-391, 2019.
Y.F. Li, K. Shang*, Z.H. Huang. A singular value p-shrinkage thresholding algorithm for low rank matrix recovery. Computational Optimization and Applications, 2019.
R.X. Ding, X.Q. Wang, K. Shang*, F. Herrera. Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation. Information Fusion, Volume 50, 251-272, 2019.

Research Experience

Since 2018, he has been an Assistant Professor with the College of Mathematics and Econometrics, Hunan University, Changsha, China. Now, he is an associate professor with the Center for Medical AI, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Education

He received his PhD degree from Tianjin Center for Applied Mathematics (TCAM), Tianjin University in 2018, supervised by Prof. William Y.C. Chen and Prof. Zheng-Hai Huang.

Background

Research Interests: Machine Learning, Optimization, Computer Vision. Currently, he is an associate professor at the Center for Medical AI, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences.

Co-authors

8 total