People Listing

Prof. Xue-Cheng TAI

Xue-Cheng

Contact Information

Tel: 3411 7336
Email: xuechengtai@hkbu.edu.hk

Professor, Department of Mathematics

  • SYSTEM HEALTH and ETHICAL AND THEORETICAL AI

Prof Tai Xue-Cheng is currently at the Department of Mathematics, Hong Kong Baptist University. He received his Bachelor degree in Mathematical Science from Zhengzhou University, Licenciate and Ph.D. degrees from the University of Jyvaskyla, Finland. His research interests include Numerical methods for partial differential equations, optimization techniques, inverse problems, and image processing. He has done significant research work in his research areas and published many research works in top quality international conference and journals. He served as organizing and program committee members for a number of international conferences and has been often invited as speakers for international conferences. He has served as referee and reviewers for many premier conferences and journals.

 

Project Highlights

 

1. Efficient Splitting And Preconditioning Algorithms For Total Variation And Elastica Energy Minimization For Variational Image Processing And Computer Vision
1. Efficient Splitting And Preconditioning Algorithms For Total Variation And Elastica Energy Minimization For Variational Image Processing And Computer Vision
2. Mathematical modeling and analysis of deep neural networks for solving structured differential and integral models
2. Mathematical modeling and analysis of deep neural networks for solving structured differential and integral models
  1. Efficient Splitting And Preconditioning Algorithms For Total Variation And Elastica Energy Minimization For Variational Image Processing And Computer Vision (Tai, X. C., HKBU12300819)
  2. Mathematical modeling and analysis of deep neural networks for solving structured differential and integral models (Tai, X. C., NSFC/RGC Joint Research Scheme (N_HKBU214/19))
  3. Convolutional Neural Networks for Medical Image and Data Analysis (Tai, X. C., Initiation Grant for Faculty Niche Research Areas (IG-FNRA) (RC-FNRA-IG/19-20/SCI/01))