World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
7547
World Ranking
2160
National Ranking
133

Overview

Le Thi Hoai An is affiliated with the University of Lorraine in France and has contributed extensively to the fields of Computer Science, Engineering, and Mathematics. Their research primarily covers subfields such as Artificial Intelligence, Computational Mechanics, Computational Theory and Mathematics, Numerical Analysis, and Computer Networks and Communications.

The scientist's work is focused on several main topics including Sparse and Compressive Sensing Techniques, Advanced Optimization Algorithms Research, Optimization and Variational Analysis, Stochastic Gradient Optimization Techniques, Machine Learning and Extreme Learning Machines (ELM), Advanced Bandit Algorithms Research, and Statistical Methods and Inference.

Frequent publication venues for their research include:

  • arXiv (Cornell University)
  • Journal of Global Optimization
  • SIAM Journal on Optimization
  • Neural Networks
  • Mathematics of Operations Research

Notable recent papers authored or co-authored by Le Thi Hoai An comprise:

  • Open issues and recent advances in DC programming and DCA, 2023, Journal of Global Optimization
  • Human Education And Educational Issues For Society And Economy - Case In Emerging Markets Including Vietnam, 2021, İlköğretim Online
  • Alternating DC algorithm for partial DC programming problems, 2021, Journal of Global Optimization
  • Online Learning Based on Online DCA and Application to Online Classification, 2020, Neural Computation
  • Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning, 2020, Applied Mathematics and Computation

They have also contributed to book publications with Springer International Publishing, including titles such as:

  • Modelling, Computation and Optimization in Information Systems and Management Sciences, 2021
  • Advances in Data Science and Optimization of Complex Systems, 2025

Frequent co-authors collaborating with Le Thi Hoai An include:

  • Hoang Phuc Hau Luu
  • Hoai Minh Le
  • Tao Pham Dinh
  • Vinh Thanh Ho

Best Publications

  • The DC (Difference of Convex Functions) Programming and DCA Revisited with DC Models of Real World Nonconvex Optimization Problems

    Unknown

  • Convex analysis approach to d.c. programming: Theory, Algorithm and Applications

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  • A D.C. Optimization Algorithm for Solving the Trust-Region Subproblem

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  • Solving a Class of Linearly Constrained Indefinite QuadraticProblems by D.C. Algorithms

    Le Thi Hoai An;Pham Dinh Tao

  • DC programming and DCA: thirty years of developments

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  • Recent Advances in DC Programming and DCA

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  • DC approximation approaches for sparse optimization

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  • Exact penalty and error bounds in DC programming

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  • A Branch and Bound Method via d.c. Optimization Algorithms andEllipsoidal Technique for Box Constrained Nonconvex Quadratic Problems

    Le Thi Hoai An;Pham Dinh Tao

  • DC Programming and DCA for General DC Programs

    Unknown

  • Numerical solution for optimization over the efficient set by d.c. optimization algorithms

    Le Thi Hoai An;Pham Dinh Tao;Le Dung Muu

  • Large-Scale Molecular Optimization from Distance Matrices by a D.C. Optimization Approach

    Unknown

  • Feature selection in machine learning: an exact penalty approach using a Difference of Convex function Algorithm

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  • A new efficient algorithm based on DC programming and DCA for clustering

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  • An efficient algorithm for globally minimizing a quadratic function under convex quadratic constraints

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  • Convergence Analysis of Difference-of-Convex Algorithm with Subanalytic Data

    Unknown

  • New and efficient DCA based algorithms for minimum sum-of-squares clustering

    Unknown

  • Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms

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  • Optimization based DC programming and DCA for hierarchical clustering

    Unknown

  • Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation

    Le An;Pei Zhang;Ehsan Adeli;Yan Wang

  • A Combined D.C. Optimization—Ellipsoidal Branch-and-Bound Algorithm for Solving Nonconvex Quadratic Programming Problems

    Le Thi Hoai An;Pham Dinh Tao;Le Dung Muu

  • Difference of convex functions optimization algorithms (DCA) for globally minimizing nonconvex quadratic forms on Euclidean balls and spheres

    Pham Dinh Tao;Le Thi Hoai An

  • On globally solving linearly constrained indefinite quadratic minimization problems by decomposition branch and bound method

    Thaï Quynh Phong;Le Thi Hoai An;Pham Dinh Tao

  • A continuous approch for globally solving linearly constrained quadratic

    Unknown

  • D.C. programming approach for multicommodity network optimization problems with step increasing cost functions

    Le Thi Hoai An;Pham Dinh Tao

  • A DC programming approach for a class of bilevel programming problems and its application in Portfolio Selection

    Le Thi Hoai An;Tran Duc Quynh;Pham Dinh Tao

  • Solving the minimum M-dominating set problem by a continuous optimization approach based on DC programming and DCA

    Julien Schleich;Hoai An Le Thi;Pascal Bouvry

  • D.C. Programming Approach to the Multidimensional Scaling Problem

    Le Thi Hoai An;Pham Dinh Tao

  • Optimizing radial basis functions by D.C. programming and its use in direct search for global derivative-free optimization

    H. A. Le Thi;A. I. F. Vaz;L. N. Vicente

  • Modelling, Computation and Optimization in Information Systems and Management Sciences: Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015 - Part II

    Le Thi Hoai An;Pham Dinh Tao;Ngoc Thanh Nguyen

  • STABILITE DE LA DUALITE LAGRANGIENNE EN OPTIMISATION D.C. (DIFFERENCE DE DEUX FONCTIONS CONVEXES)

    Pham Dinh Tao;Le Thi Hoai An

  • A new algorithm for Solving Large Scale Molecular Distance Geometry Problems

    Le Thi Hoai An;Pham Dinh Tao

  • Network utility maximisation: A DC programming approach for Sigmoidal utility function

    Le Thi Hoai An;Pham Dinh Tao

  • Blackbone2, an efficient deterministic algorithm for creating 2-connected m-dominating set-based backbones in ad hoc networks

    Julien Schleich;Grégoire Danoy;Pascal Bouvry;Le Thi Hoai An

  • Solving the Perceptron Problem by deterministic optimization approach based on DC programming and DCA

    Le Thi Hoai An;Le Hoai Minh;Pham Dinh Tao;Pascal Bouvry

  • A combined DCA: GA for constructing highly nonlinear balanced boolean functions in cryptography

    Hoai Minh Le;Hoai An Le Thi;Tao Pham Dinh;Pascal Bouvry

  • Large Scale Molecular Conformation via the Exact Distance Geometry Problem

    Le Thi Hoai An;Pham Dinh Tao

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