World's Best Scientists 2026 revealed!
Xue-Cheng Tai

Xue-Cheng Tai

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Mathematics
Norway
2026

D-Index & Metrics

Mathematics

D-Index
50
Citations
11919
World Ranking
1072
National Ranking
7

Engineering and Technology

D-Index
50
Citations
12043
World Ranking
4017
National Ranking
20

Research.com Recognitions

  • 2026 - Research.com Mathematics in Norway Leader Award
  • 2025 - Research.com Mathematics in Norway Leader Award

Overview

Xue-Cheng Tai is affiliated with NORCE Research in Norway and has contributed extensively to the scientific community, particularly in the fields of Computer Science and Engineering. Their research has a strong focus on topics related to image processing, computational mechanics, and artificial intelligence.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these fields, they have specialized in several subfields, such as:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Artificial Intelligence
  • Biomedical Engineering
  • Statistical and Nonlinear Physics

The principal topics covered in their work include:

  • Medical Image Segmentation Techniques
  • Sparse and Compressive Sensing Techniques
  • Image and Signal Denoising Methods
  • Advanced Neural Network Applications
  • Model Reduction and Neural Networks
  • Advanced Image Processing Techniques
  • Advanced Numerical Analysis Techniques

Xue-Cheng Tai has published a number of papers in well-known venues, with recent examples including:

  • Thin, soft, wearable system for continuous wireless monitoring of artery blood pressure (2023, Nature Communications)
  • A Reliability-Constrained Expansion Planning Model for Mesh Distribution Networks (2020, IEEE Transactions on Power Systems)
  • Optimization Model-Based Reliability Assessment for Distribution Networks Considering Detailed Placement of Circuit Breakers and Switches (2020, IEEE Transactions on Power Systems)
  • A regularized convolutional neural network for semantic image segmentation (2020, Analysis and Applications)
  • Convexity Shape Prior for Level Set-Based Image Segmentation Method (2020, IEEE Transactions on Image Processing)

The frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Journal of Scientific Computing
  • Inverse Problems and Imaging
  • SIAM Journal on Scientific Computing
  • SIAM Journal on Imaging Sciences

Xue-Cheng Tai has collaborated regularly with several co-authors, including:

  • Raymond H. Chan
  • Roland Glowinski
  • Shousheng Luo
  • Hao Liu
  • Jun Liu

In addition to journal articles, Xue-Cheng Tai has contributed to book publications, with at least one book titled Mathematical Methods in Image Processing and Inverse Problems published in 2021 by Springer International Publishing.

Best Publications

  • Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time

    M. Lysaker;A. Lundervold;Xue-Cheng Tai

  • Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models

    Chunlin Wu;Xue-Cheng Tai

  • A binary level set model and some applications to Mumford-Shah image segmentation

    J. Lie;M. Lysaker;Xue-Cheng Tai

  • Scale Space and Variational Methods in Computer Vision

    Xue-Cheng Tai;Knut Mørken;Marius Lysaker;Knut-Andreas Lie

  • Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional

    Marius Lysaker;Xue-Cheng Tai

  • A study on continuous max-flow and min-cut approaches

    Jing Yuan;Egil Bae;Xue-Cheng Tai

  • Noise removal using smoothed normals and surface fitting

    M. Lysaker;S. Osher;Xue-Cheng Tai

  • A variant of the level set method and applications to image segmentation

    Johan Lie;Marius Lysaker;Xue Cheng Tai

  • Electrical impedance tomography using level set representation and total variational regularization

    Eric T. Chung;Tony F. Chan;Xue-Cheng Tai

  • A Robust Finite Element Method for Darcy--Stokes Flow

    Kent Andre Mardal;Xue-Cheng Tai;Ragnar Winther

  • Level set and total variation regularization for elliptic inverse problems with discontinuous coefficients

    Tony F. Chan;Xue-Cheng Tai

  • Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model

    Xue-Cheng Tai;Chunlin Wu

  • A continuous max-flow approach to potts model

    Jing Yuan;Egil Bae;Xue-Cheng Tai;Yuri Boykov

  • A Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method

    Xue-Cheng Tai;Jooyoung Hahn;Ginmo Jason Chung

  • Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach

    Egil Bae;Jing Yuan;Xue-Cheng Tai

  • AUGMENTED LAGRANGIAN METHOD FOR TOTAL VARIATION RESTORATION WITH NON-QUADRATIC FIDELITY

    Chunlin Wu;Juyong Zhang;Xue-Cheng Tai

  • A parallel splitting up method and its application to Navier-Stokes equations

    T. Lu;Pekka Neittaanmäki;Pekka Neittaanmäki;Xue-Cheng Tai

  • Multiple level set methods with applications for identifying piecewise constant functions

    Tony F. Chan;Xuecheng Tai

  • Global and uniform convergence of subspace correction methods for some convex optimization problems

    Xue-Cheng Tai;Jinchao Xu

  • A robust nonconforming H 2 -element

    Trygve K. Nilssen;Xue-Cheng Tai;Ragnar Winther

Frequent Co-Authors

Tony F. Chan
Tony F. Chan University of California, Los Angeles
Ron Kimmel
Ron Kimmel Technion – Israel Institute of Technology
Pekka Neittaanmäki
Pekka Neittaanmäki University of Jyväskylä
Yang Wang
Yang Wang Hong Kong University of Science and Technology
Yuri Boykov
Yuri Boykov University of Waterloo
Aaron Fenster
Aaron Fenster University of Western Ontario
Martin Rajchl
Martin Rajchl Imperial College London
Roland Glowinski
Roland Glowinski University of Houston
Wenbing Tao
Wenbing Tao Huazhong University of Science and Technology

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