Publications

I. Editor of Books and Special issues in journals

24. H.A. Le Thi, T. Pham Dinh, Yaroslav D. Sergeye, Editors of the special issue “Advanced Approaches in Nonconvex Programming and Applications”, Journal of Global Optimization, Volume 82, Issue 4, 2022.

23. H.A. Le Thi, T. Pham Dinh, Yaroslav D. Sergeye, Editors of the special issue “Global optimization, nonconvex programming and their applications”, Optimization Letters, Volume 15, Issue 7, 2021.

22. H.A. Le Thi, T. Pham Dinh, Y.D. Sergeye, Editors of the special issue “Recent advances of Optimization and its applications in Engineering”, Optimization and Engineering, to appear.

21. H.A. Le Thi, H. M. Le, T. Pham Dinh, N.T. Nguyen (2020, Eds): “Advanced Computational Methods for Knowledge Engineering”, Advances in Intelligent Systems and Computing, AISC, Volume 1121, 450 pages, Springer 2020.

20. H.A. Le Thi, H. M. Le, T. Pham Dinh (2020, Eds): “Optimization of Complex Systems: Theory, Models, Algorithms and Applications”, Advances in Intelligent Systems and Computing, AISC, Volume 991, 1200 pages, Springer 2020.

19. H.A. Le Thi, T. Pham Dinh, Editors of the special issue “DC Programming: Theory, Algorithms and Applications”, Mathematical Programming Series B, Volume 169, Issue 1, Springer 2018.

18. H.A. Le Thi, T. Pham Dinh, Editors of the special issue “Modeling and Computational Optimization for Complex System Management”, Computer and Operations Research, Volume 87, Elsevier 2017.

17. N.T. Le, T.V. Do, N.T. Nguyen, H.A. Le Thi (2017, Eds): “Advanced Computational Methods for Knowledge Engineering”, Advances in Intelligent Systems and Computing, AISC, Volume 629, 230 pages, Springer 2017.

16. TB. Nguyen, T.V. Do, H.A. Le Thi, N.T. Nguyen (2016, Eds): “Advanced Computational Methods for Knowledge Engineering”, Advances in Intelligent Systems and Computing, AISC, Volume 453, 300 pages, Springer 2016.

15. H.A. Le Thi, N.T. Nguyen, T.V. Do, (2015, Eds): “Advanced Computational Methods for Knowledge Engineering”, Advances in Intelligent Systems and Computing, AISC, Volume 358, 400 pages, Springer 2015.

14. H.A. Le Thi, T. Pham Dinh, N.T. Nguyen (2015, Eds): “Modelling, Computation and Optimization in Information and Management Sciences”, Advances in Intelligent Systems and Computing, AISC, Volume 359 and 360, 1000 pages, Springer 2015.

13. .V. Do, H.A. Le Thi, N.T. Nguyen (2014, Eds): “Advanced in Intelligent Systems and Computing”. Springer-Verlag, 2014.

12. N.T. Nguyen, H.A. Le Thi (2014, Eds.): “Transactions on Computational Collective Intelligence XIII”. Transaction LNCS, Volume 8342, Springer 2014.

11. N.T. Nguyen, T.V. Do, H.A. Le Thi (2013, Eds): “Advanced Computational Methods for Knowledge Engineering”. Studies in Computational Intelligence, Volume 479, Springer-Verlag, 2013.

10. H.A. Le Thi, Editor of the Special Issue “Optimization and Learning”. International Journal of Intelligent Information and Database Systems (IJIIDS), Volume 6, No. 6, InderScience Publishers 2012.

9.   H.A. Le Thi, J. Judice, Editors of the Special Issue “Modelling, Computation and Optimization in Information Systems and Management Sciences”, Computational Optimization and Applications, Volume 50, Number 3, Springer 2011.

8.   H.A. Le Thi, T. Pham Dinh, Editors of the Special Issue on “Nonconvex Programming: Local and Global Approaches - Theory, Algorithms and Applications”, Journal of Global Optimization, Volume 49, Number 3, Springer 2011.

7.   H.A. Le Thi, T. Pham Dinh, Editors of the Special Issue “Nonconvex Programming”. Optimization journal, Volume 59, Issue 1, Taylor and Francis, 2010.

6.   H.A. Le Thi, T. Pham Dinh, G. Ritter, Editors of the Special Issue “Optimization & Nonconvex Programming in Data Mining”. Journal Advances in Data Analysis and Classification, Springer 2009.

5.   H.A. Le Thi, P. Bouvry, T. Pham Dinh (2008, Eds.): “Modelling, Computation and Optimization in Information Systems and Management Sciences”. Communication in Computer and Information Sciences, CCIS, Volume 14, 618 pages, Springer 9-2008.

4.   H.A. Le Thi, T. Pham Dinh: (2007, Eds): Proceedings of the International conference on Nonconvex Programming: Local and Global Approaches. Theory, Algorithms and Applications. Rouen December 17-21, 280 pages.

3.   H.A. Le Thi, T. Pham Dinh: Editors of the Special Issue “Modeling, Computation and Optimization in Systems Engineering”. Journal of Global Optimization, Volume 37, Springer 2007.

2.   H.A. Le Thi, V.T. Nguyen, T. Pham Dinh: Editors of the Special Issue “Operations Research Methods for IT-Based Management”. European Journal of Operations Research, Volume 183, Springer 2007.

1.   H.A. Le Thi, T. Pham Dinh (2004, Eds): “Modeling, Computation and Optimization in Information Systems and Management Sciences”. Hermes Science Publishing, 670 pages, 2004.

II. Papers

II.1. Papers in peer-reviewed journals

International journals

145. Yi-Shuai Niu, Hoai An Le Thi, Dinh Tao Pham: On Difference-of-SOS and Difference-of-Convex-SOS Decompositions for Polynomials. SIAM Journal on Optimization, 2024, 10.1137/22M1495524.

144. Hoai An Le Thi , Hoang Phuc Hau Luu , Tao Pham Dinh, Online Stochastic DCA With Applications to Principal Component Analysis, IEEE Transactions on Neural Networks and Learning Systems, 2024, ⟨10.1109/TNNLS.2022.3213558⟩

143. Hoai An Le Thi , Van Ngai Huynh, Tao Pham Dinh, Minimizing compositions of differences-of-convex functions with smooth mappings, Mathematics of Operations Research, 2024, https://doi.org/10.1287/moor.2021.025

142. Duy Nhat Phan, Hoai An Le Thi, Difference-of-Convex Algorithm with Extrapolation for Nonconvex, Nonsmooth Optimization Problems, Mathematics of Operations Research, 2024, https://doi.org/10.1287/moor.2020.0393

141. Hoang Phuc Hau Luu , Hoai Minh Le , Hoai An Le Thi, Markov chain stochastic DCA and applications in deep learning with PDEs regularization, Neural Networks, Volume 170, February 2024, pp. 149-166, https://doi.org/10.1016/j.neunet.2023.11.022

140. Hoai An Le Thi, Tao Pham Dinh, Open issues and recent advances in DC programming and DCA, Journal of Global Optimization, 88, 533–590 (2024). https://doi.org/10.1007/s10898-023-01272-1

139. Hoai An Le Thi , Hoang Phuc Hau Luu , Hoai Minh Le , Tao Pham Dinh, Stochastic DCA with Variance Reduction and Applications in Machine Learning, Journal of Machine Learning Research, 2022, 23 (206), pp.1-44

138. Hoai An Le Thi , Tao Pham Dinh , Yaroslav Sergeyev, Preface to the Special Issue dedicated to the 6th World Congress on Global Optimization held in Metz, France, July 8-10, 2019, Optimization and Engineering, 2023, 24 (1), pp.1-3. ⟨10.1007/s11081-022-09785

137. Hoai An Le Thi , Vinh Thanh Ho, Alternating DCA for reduced-rank multitask linear regression with covariance matrix estimation, Annals of Mathematics and Artificial Intelligence, 2022, 90 (7-9), pp.809-829. ⟨10.1007/s10472-021-09732-8⟩        

136. Hoai An Le Thi , Thi Tuyet Trinh Nguyen , Hoang Phuc Hau Luu, A DC programming approach for solving a centralized group key management problem, Journal of Combinatorial Optimization, 2022, pp.1-29. ⟨10.1007/s10878-022-00862-1⟩

135. Hoai An Le Thi , Tao Pham Dinh , Yaroslav D. Sergeyev, Preface to the special issue dedicated to the 6th World Congress on Global Optimization held in Metz, France, July 8–10, 2019, Journal of Global Optimization, 2022, 82 (4), pp.655-657. ⟨10.1007/s10898-022-01147-x⟩     

134. Hoai An Le Thi , Thi Minh Tam Nguyen , Tao Pham Dinh, On solving difference of convex functions programs with linear complementarity constraints, Computational Optimization and Applications, 2023, 86 (1), pp.163-197. ⟨10.1007/s10589-023-00487-y⟩

133. Hoai An Le Thi , van Ngai Huynh , Tao Pham Dinh , Hoang Phuc Hau Luu, Stochastic Difference-of-Convex-Functions Algorithms for Nonconvex Programming. SIAM Journal on Optimization, 2022, 32 (3), pp.2263-2293. ⟨10.1137/20M1385706⟩  

132. Tao Pham Dinh , van Ngai Huynh , Hoai An Le Thi , Vinh Thanh Ho, Alternating DC algorithm for partial DC programming problems, Journal of Global Optimization, 2022, 82 (4), pp.897-928. ⟨10.1007/s10898-021-01043-w⟩

131. H.A. Le Thi, V.T. Ho, Alternating DCA for Reduced-Rank Multitask Linear Regression with Covariance Matrix Estimation, to appear in Annals of Mathematics and Artificial Intelligence.

130. T.T. Tran, H.A. Le Thi, T. Pham Dinh, N.T. Nguyen, DC programming and DCA for enhancing physical layer security via relay beamforming strategies. Optimization Letters, in press, January 2021.

129. H.A. Le Thi, V.T. Ho, DCA for Online Prediction with Expert Advice. Neural Computing & Applications, in press January 2021 (SCIE).

128. V.T. Ho, H.A. Le Thi, T. Pham Dinh, DCA-based algorithms for DC Fitting. Journal of Computational and Applied Mathematics, in press December 2020 (SCI).

127. P.A. Nguyen, H.A. Le Thi, DCA approaches for simultaneous wireless information power transfer in MISO secrecy channel. Optimization and Engineering, in press October 2020 (SCIE)

126. H.A. Le Thi, H.M. Le, D.N. Phan, B. Tran, Novel DCA Based Algorithms for a special class of nonconvex problems with Application in Machine learning. Applied Mathematics and Computation, in press December 2020. (SCIE)

125. H.A. Le Thi, H.M. Le, D.N. Phan, B. Tran, Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression. Neural Networks, Volume 132, pp. 220-231, December 2020. (SCI)

124. T.H. Pham, H.A. Le Thi, C.N. Nguyen, Half-open polyblock for the representation of the search region in multiobjective optimization problems: its application and computational aspects. 4OR - A Quarterly Journal of Operations Research (2020). https://doi.org/10.1007/s10288-020-00430-5. (SCIE)

123. H.A. Le Thi, V.T. Ho: Online Learning based on Online DCA and Application to Online Classification. Neural Computation, Volume 32, Issue 4, pp. 759-793, April 2020. (SCI)

122. N.A. Pham, H.A. Le Thi, T. Pham Dinh, Yosida Approximation Methods for Generalized Equilibrium Problems. Journal of Convex Analysis, Volume 27, Issue 3, pp. 959-977, 2020. (SCIE)

121. N.A. Pham, H.A. Le Thi, Modified parallel projection methods for the multivalued lexicographic variational inequalities using proximal operator in Hilbert spaces. Mathematical Methods in the Applied Sciences, Volume 43, Issue 6, pp. 3260-3279, April 2020. (SCIE)

120. M.N. Nguyen, H.A. Le Thi, G. Daniel, T.A. Nguyen, Smoothing techniques and difference of convex functions algorithms for image reconstructions. Optimization, Volume 69, Issue 7-8, pp. 1601-1633, 2020. (SCIE)

119. H.A. Le Thi, DC programming and DCA for supply chain and production management: state-of-the-art models and methods. International Journal of Production Research, Volume 58, Issue 20, pp. 6078-6114, 2020. (SCI)

118. H.A. Le Thi, Collaborative DCA: an intelligent collective optimization scheme, and its application for clustering. Journal of Intelligent & Fuzzy Systems, Volume 37, Issue 6, pp. 7511-7518, December 2019. (SCIE)

117. D.N. Phan, H.A. Le Thi, Group variable selection via lp,0 regularization and application to optimal scoring. Neural Networks, Volume 118, pp. 220-234, October 2019. (SCI)

116. N.A. Pham, H.A. Le Thi, New subgradient extragradient methods for solving monotone bilevel equilibrium problems. Optimization, Volume 68, Issue 11, pp. 2097-2122, 16 September 2019. (SCIE)

115. Y-S. Niu, J. Júdice, H.A. Le Thi, T. Pham Dinh, Improved DC programming approaches for solving the quadratic eigenvalue complementarity problem. Applied Mathematics and Computation, Volume 353, pp. 95-113, July 2019. (SCIE)

114. H.A. Le Thi, V.T. Ho, T. Pham Dinh, A unified DC programming framework and efficient DCA based approaches for large scale batch reinforcement learning. Journal of Global Optimization, Volume 73, Issue 2, pp. 279-310, February 2019. (SCI)

113. D.N. Phan, H.A. Le Thi, Group Variable Selection via lp,0 regularization and application to Optimal Scoring Learning Systems. Neural Networks, Volume 118, pp. 220-234, October 2019. (SCI)

112. H.A. Le Thi, V.N. Huynh, T. Pham Dinh, Convergence Analysis of Difference-of-Convex Algorithm with Subanalytic Data. Journal of Optimization Theory and Applications, Volume 179, Issue 1, pp. 103-126, October 2018. (SCI)

111. H.A. Le Thi, T. Pham Dinh, DC programming and DCA: thirty years of developments. Mathematical Programming, Special issue on DC programming: Theory, Algorithm & Applications, Volume 169, Issue 1, pp. 5-68, May 2018. (SCI)

110. N.A. Pham, H.A. Le Thi, Outer-Inner Approximation Projection Methods for Multivalued Variational Inequalities. Acta Mathematica Vietnamica, Volume 42, Issue 1, pp. 61-79, March 2017. (SCOPUS)

109. H.A. Le Thi, A.S. Ta, T. Pham Dinh, An efficient DCA based algorithm for power control in large scale wireless networks. Applied Mathematics and Computation, Volume 318, pp. 215-226, 2018. (SCIE)

108. D.N. Phan, H.A. Le Thi, T. Pham Dinh, Sparse Covariance Matrix Estimation by DCA based Algorithms, Neural Computation, Volume 29, Issue 11, pp. 3040-3077, November 2017. (SCI)

107. H.A. Le Thi, T. Pham Dinh, Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model. Optimization and Engineering, Volume 18, Issue 4, pp. 873-906, December 2017. Rosenbrock Prize Springer 2017. (SCIE)

106. T.T. Tran, H.A. Le Thi and T. Pham Dinh, DC programming and DCA for enhancing Physical Layer Security via Cooperative Jamming. Computers & Operations Research, Volume 87, pp. 235-244, November 2017. (SCIE)

105. T. Pham Dinh, V.T. Ho and H.A. Le Thi, DC programming and DCA for solving Brugnano-Casulli piecewise linear systems, Computers & Operations Research, Volume 87, pp. 196-204, November 2017. (SCIE)

104. P. Damel, H.A. Le Thi and N. Peltre, The challenge in managing new financial risks: adopting an heuristic or theoretical approach, Annals of Operations Research, Volume 247, Issue 2, pp. 581-598, December 2016. (SCI)

103. H.A. Le Thi and M.C. Nguyen, DCA based algorithms for feature selection in multi-class support vector machine, Annals of Operations Research, Volume 249, Issue 1-2, pp. 1-28, October 2016. (SCI)

102. H.A. Le Thi, H.V. Ngai and T. Pham Dinh, Error Bounds Via Exact Penalization with Applications to Concave and Quadratic Systems, Journal of Optimization Theory and Applications, Volume 171, Issue 1, pp. 228-250, October 2016. (SCI)

101. H.A. Le Thi, T. Pham Dinh, M. Thiao, Efficient approaches for l2-l0 regularization and applications to feature selection in SVM, Applied Intelligence, Volume 45, Issue 2, pp. 549-565, September 2016. (SCI)

100. H.A. Le Thi, X.T. Vo, T. Pham Dinh, Efficient Nonegative Matrix Factorization by DC programming and DCA, Neural Computation, Volume 28, Issue 6, pp. 1163-1216, June 2016. (SCI)

99.   H.A. Le Thi, D.N. Phan, DC Programming and DCA for Sparse Fisher Linear Discriminant Analysis, Neural Computing & Applications, Volume 28, Issue 9, pp. 2809-2822, September 2017. (SCIE)

98. H.A. Le Thi, D.N. Phan, DC programming and DCA for sparse optimal scoring problem. Neurocomputing, Volume 186, pp. 170-181, 2016. (SCIE)

97.   T. Pham Dinh, H.A. Le Thi, V.N. Pham, Y-S. Niu, DC Programming Approaches for Discrete Portfolio Optimization under Concave Transaction Costs, Optimization Letters, Volume 10, Issue 2, pp. 261-282, February 2016. (SCIE)

96.   T.N. Do, H.A. Le Thi, Massive Classification with Support Vector Machines. Transactions on Computational Collective Intelligence, Volume 18, pp. 147-165, 2015.

95.   H.A. Le Thi, T. Pham Dinh, H.M. Le, X.T. Vo, DC approximation approaches for sparse optimization. European Journal of Operational Research, Volume 244, Issue 1, pp. 26-46, 1 July 2015. (SCIE).

94.   H.M. Le, H.A. Le Thi, M.C. Nguyen, Sparse Semi-Supervised Support Vector Machines by DC Programming and DCA. Neurocomputing, Volume 153, pp. 62-76, 4 April 2015. (SCIE)

93. M. Ouanes, H.A. Le Thi, A. Zidna, New quadratic lower bound for Multivariate functions in global optimization. Mathematics and Computers in Simulation, Volume 109, pp. 197-211, March 2015. (SCIE)

92.   K. Mishra, M. Jaiswal, H.A. Le Thi, Optimality conditions and Duality for Nondifferentiable Multiobjective Semi-Infinite Programming Problems with Generalized C(α,β,d)-convexity. Journal of Systems Science & Complexity, Volume 28, Issue 1, pp. 47–59, February 2015. (SCIE)

91.   H.A. Le Thi, X.T. Vo, T. Pham Dinh, Feature Selection for linear SVMs under Uncertain Data: Robust optimization based on Difference of Convex functions Algorithms. Neural Networks, Volume 59, pp. 36-50, 2014. (SCI)

90.   H.A. Le Thi, M.C. Nguyen, Self-Organizing Maps by Difference of Convex functions optimization. Data Mining and Knowledge Discovery, Volume 28, Issue 5-6, pp. 1336-1365, September 2014. (SCI)

89.   S. K. Mishra, B. B. Upadhyay, H.A. Le Thi: Lagrange Multiplier Characterizations of Solution Sets of Constrained Nonsmooth Pseudolinear Optimization Problems. Journal of Optimization Theory and Applications, Volume 160, Issue 3, pp. 763-777, 2014. (SCI)

88.   H.A. Le Thi, D.Q. Tran: New and efficient algorithms for transfer prices and inventory holding policies in two-enterprise supply chains. Journal of Global Optimization, Volume 60, Issue 1, pp. 5-24, 2014. (SCI)

87.   H.A. Le Thi, H.M. Le, T. Pham Dinh, Feature Selection in machine learning: an exact penalty approach using a Difference of Convex functions Algorithm. Machine Learning, Volume 101, Issue 1-3, pp. 163-186, October 2015. (SCI)

86. H.A. Le Thi, V.N. Huynh, T. Pham Dinh, A. I. F. Vaz, L. N. Vicente, Globally convergent DC trust-region methods. Journal of Global Optimization, Volume 59, pp. 209-225, July 2014. (SCI)

85.   T. Pham Dinh, H.A. Le Thi, Recent advances in DC programming and DCA. Transactions on Computational Collective Intelligence, Volume 8342, pp. 1-37, 2014.

84.   D.T. Pham, M. Castellani, H.A. Le Thi, Nature-Inspired Intelligent Optimisation using the Bees Algorithm. Transactions on Computational Collective Intelligence, Volume 8342, pp. 38-69, 2014.

83. T. Pham Dinh, H.M. Le, H.A. Le Thi, Fabien Lauer, A Difference of Convex Functions Algorithm for Switched Linear Regression. IEEE Transactions on automatic control, Volume 59, Issue 8 pp. 2277-2282, 2014. (SCI)

82.   H.A. Le Thi, M. Ouanes, A. Zidna, Computing real roots of a polynomial by branch and bound and branch and reduce algorithms. Yugoslav Journal of Operations Research, Volume 24, Issue 1, pp. 1-17, 2014.

81. H.A. Le Thi, D.M. Nguyen, T. Pham Dinh, A DC programming approach for planning a multisensor multizone search for a target. Computers & Operations Research, Volume 41, pp. 231-239, 2014. (SCIE)

80. H.A. Le Thi, H.M. Le, T. Pham Dinh, New and efficient DCA based algorithms for Minimum Sum-of-Squares Clustering. Pattern Recognition, Volume 47, Issue 1, pp. 388-401, 2014. (SCI)

79.   H.A. Le Thi, D.Q. Tran, K.H. Adjallah, A Difference of Convex functions Algorithm for Optimal Scheduling and real-time assignment of preventive maintenance jobs on parallel processors. JIMO - Journal of Industrial and Management Optimization, Volume 10, Issue 1, pp. 243-258, 2014. (SCIE)

78.   H.A. Le Thi, M.C. Nguyen, T. Pham Dinh, A DC programming approach for finding Communities in networks. Neural Computation, Volume 26, Issue 12, pp. 2827-2854, 2014. (SCI)

77.   H.A. Le Thi, M. Moeini, Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm. Journal of Optimization Theory and Applications, Volume 161, Issue 1, pp. 199-224, 2014. (SCI)

76.   D.M. Nguyen, H.A. Le Thi, T. Pham Dinh, Solving the Multidimensional Assignment Problem by a Cross-Entropy method. Journal of Combinatorial Optimization, Volume 27, pp. 808-823, 2014. (SCIE)

75.   H.A. Le Thi, T. Pham Dinh, T. Belghiti, DCA based algorithms for Multiple Sequence Alignment (MSA). Central European Journal of Operations Research, Volume 22, pp. 501-524, 2014. (SCIE)

74.   H.A. Le Thi, H.M. Le, T. Pham Dinh, N.V. Huynh, Binary classification via spherical separator by DC programming and DCA. Journal of Global Optimization, Volume 56, Issue 4, pp. 1393-1407, 2013. (SCI)

73.   H.A. Le Thi, T. Pham Dinh, DC programming in Communication Systems: challenging problems and methods. Vietnam Journal of Computer Science, Volume 1, Issue 1, pp. 15-28, Springer, 2013.

72.   H.A. Le Thi, D.Q. Tran, Optimizing a multi-stage production/inventory system by DC programming based approaches. Computational Optimization and Applications, Volume 57, Issue 2, pp. 441-468, 2013. (SCI)

71.   C.S. Ong, H.A. Le Thi, Learning sparse classifiers with Difference of Convex functions Algorithms. Optimization Methods & Software, Volume 28, Issue 4, pp. 830-854, 2013. (SCIE)

70.   H.M. Le, H.A. Le Thi, T. Pham Dinh and V.N. Huynh, Block Clustering based on DC programming and DCA. Neural Computation, Volume 25, Issue 10, pp. 2776-2807, 2013. (SCI)

69.   H.A. Le Thi, M. Moeini, T. Pham Dinh, J. Júdice, A DC programming approach for solving the symmetric Eigenvalue Complementarity Problem. Computational Optimization and Applications, Volume 51, Issue 3, pp. 1097-1117, 2012. (SCI)

68.   N.A. Pham, H.A. Le Thi, The Subgradient Extragradient Method Extended to Equilibrium Problems. Optimization, Volume 64, Issue 2, pp. 1-24, 2012. (SCIE)

67.   N.A. Pham, H.A. Le Thi, An Armijo-type method for pseudomonotone equilibrium problems and its applications. Journal of Global Optimization, Volume 57, Issue 3, pp. 803-820, 2012. (SCI)

66.   B.M. Ndiaye, H.A. Le Thi, T. Pham Dinh, Single straddle carrier routing problem in port container terminals: mathematical model and solving approaches. International Journal of Intelligent Information and Database Systems IJIIDS, Volume 6, Issue 6, pp. 532-554, 2012. (SCOPUS)

65.   D. Aaid, N. Amel, H.A. Le Thi, Z. Ahmed, A modified classical algorithm ALPT4C for solving a capacitated four-index transportation problem. Acta Mathematica Vietnamica, Volume 37, Issue 3, pp. 379-390, 2012. (SCOPUS)

64.   H.A. Le Thi, T. Pham Dinh, D.Q. Tran, A DC programming approach for a class of bilevel programming problems and its application in portfolio selection. Numerical Algebra, Control and Optimization, Volume 2, Issue 1, pp. 167-185, 2012. (SCOPUS)

63.   A.S. Ta, H.A. Le Thi, D. Khadraoui, T. Pham Dinh, Solving Partitioning-Hub Location-Routing Problem using DCA. Journal of Industrial and Management Optimization, Volume 8, Issue 1, pp. 87-102, 2012. (SCIE)

62.   Y.S. Niu, T. Pham Dinh, H.A. Le Thi, J. Judice, Efficient DC Programming Approaches for Asymmetric Eigenvalue Complementarity Problem. Optimization Methods & Software, Volume 28, Issue 4, pp. 812-829, 2012. (SCIE)

61.   D.M. Le, Q. Tran Dinh, H.A. Le Thi, T. Pham Dinh, A new decomposition algorithm for globally solving mathematical programs with affine equilibrium constraints. Acta Mathematica Vietnamica, Volume 37, Issue 2, pp. 201-218, 2012. (SCOPUS)

60.   H.A. Le Thi, T. Pham Dinh, V.N. Huynh, Exact penalty and error bounds in DC programming. Journal of Global Optimization, Volume 52, Issue 3, pp. 509-535, 2012. (SCI)

59.   H.A. Le Thi, A. I. F. Vaz, L. N. Vicente, Optimizing radial basis functions by D.C. programming and its use in direct search for global derivative-free optimization. TOP (Journal of the Spanish Society of Statistics and Operations Research), Volume 20, Issue 1, pp. 190-214, 2012. (SCIE)

58.   J. Schleich, H.A. Le Thi, P. Bouvry, Solving the Minimum m-Dominating Set problem by a Continuous Optimization Approach based on DC Programming and DCA. Journal of Combinatorial Optimization, Volume 24, Issue 4, pp. 397-412, 2012. (SCIE)

57.   H.A. Le Thi, D.Q. Tran, Solving Continuous Min Max Problem for Single Period Portfolio Selection with Discrete Constraints by DCA. Optimization, Volume 61, Issue 8, pp. 1025-1038, 2012. (SCIE)

56.   H.A. Le Thi, T. Pham Dinh, D.Y. Nguyen, Behavior of DCA sequences for solving the trust-region subproblem. Journal of Global Optimization, Volume 53, Issue 2, pp. 317-329, 2012. (SCI)

55.   S. K. Mishra, M. Jaiswal, H.A. Le Thi, Nonsmooth semi-infinite programming problem using limiting subdifferentials. Journal of Global Optimization, Volume 53, Issue 2, pp. 285-296, 2012. (SCI)

54.   H.A. Le Thi, M. Madhi, T. Pham Dinh, J. Judice, A DC programming approach for solving the symmetric Eigenvalue Complementarity Problem. Computational Optimization and Applications, Volume 51, Issue 3, pp. 1097-1117, 2012. (SCI)

53.   S. K. Mishra, M. Jaiswal, H.A. Le Thi, Duality for nonsmooth semi-infinite programming problems. Optimization Letters, Volume 6, Issue 2, pp. 261-271, 2012. (SCIE)

52.   H.A. Le Thi, D.M. Nguyen, T. Pham Dinh, Globally solving a Nonlinear UAV Task Assignment Problem by stochastic and deterministic optimization approaches. Optimization Letters, Volume 6, Issue 2, pp. 315-329, 2012. (SCIE)

51.   H.A. Le Thi, T. Pham Dinh, On Solving Linear Complemetarity Problems by DC programming and DCA. Computational Optimization and Applications, Volume 50, Issue 3, pp. 507-524, 2011. (SCI)

50.   T. S. Arthanari, H.A. Le Thi, New formulations of the multiple sequence alignment problem. Optimization Letters, Volume 5, Issue 1, pp. 27-40, 2011. (SCIE)

49.   H.A. Le Thi, T. Pham Dinh, D.Y. Nguyen, Properties of two DC algorithms in quadratic programming. Journal of Global Optimization, Volume 49, Issue 3, pp. 481-495, 2011. (SCI)

48.   H.A. Le Thi, Q.T. Nguyen, A Robust Approach for Nonlinear UAV Task Assignment Problem under Uncertainty. Transactions on Computational Collective Intelligence, Volume 6450, pp. 147-159, Springer-Verlag Heildelberg 2010.

47.   N. Gulpinar, H.A. Le Thi, M. Moeini, Robust Investment Strategies with Discrete Asset Choice Constraints Using DC Programming. Optimization, Volume 59, Issue 1-2, pp. 45-62, 2010. (SCIE)

46.   H.A. Le Thi, T. Pham Dinh, C.N. Nguyen, D.M. Le, Methods for Optimizing Over the Efficient and Weakly Efficient Sets of an Affine Fractional Vector Optimization Program. Optimization, Volume 59, Issue 1-2, pp. 77-93, 2010. (SCIE)

45.   T. Pham Dinh, C.N. Nguyen, H.A. Le Thi, An efficient combined DCA and B&B using DC/SDP relaxation for globally solving binary quadratic programs. Journal of Global Optimization, Volume 48, Issue 4, pp. 595-632, 2010. (SCI)

44.   H.M. Le, H.A. Le Thi, T. Pham Dinh, P. Bouvry, A Combined DCA - GA for Constructing Highly Nonlinear Balanced Boolean Functions in Cryptography. Journal of Global Optimization, Volume 47, Issue 4, pp. 597-613, 2010. (SCI)

43.   H.A. Le Thi, Q.T. Nguyen, H.T. Nguyen, T. Pham Dinh, Solving the earliness tardiness scheduling problem by DC programming and DCA. Mathematica Balkanica, Volume 23, Issue 3-4, pp. 271-288, 2009.

42.   H.A. Le Thi, V.V. Nguyen, O. Samir, Gene Selection for Cancer Classification Using DCA. Journal of Frontiers of Computer Science and Technology, Volume 3, Issue 6, pp. 62-72, 2009.

41.   H.A. Le Thi, M. Moeini, T. Pham Dinh, Portfolio Selection under Downside Risk Measures and Cardinality Constraints based on DC Programming and DCA. Computational Management Science, Volume 6, Issue 4, pp.459-475, 2009. (SCOPUS)

40.   H.A. Le Thi, M. Moeini, T. Pham Dinh, DC Programming Approach for Portfolio Optimization under Step Increasing Transaction Costs. Optimization, Volume 58, Issue 3, pp. 267-289, 2009. (SCIE)

39.   H.A. Le Thi, T. Pham Dinh, V.T. Nguyen, C.N. Nguyen, D.C. Optimization Techniques for Solving a Class of Nonlinear Bilevel Programs. Journal of Global Optimization, Volume 49, Issue 3, pp. 313-337, 2009. (SCI)

38.   T. Pham Dinh, H.A. Le Thi, F. Akoa, Combining DCA and interior point techniques for large-scale nonconvex quadratic programming. Optimization, Methods and Softwares, Volume 23, Issue 4, pp. 609-629, 2009. (SCIE)

37.   T. Pham Dinh, C.N. Nguyen, H.A. Le Thi, DC Programming and DCA for Globally Solving the Value-At-Risk. Computational Management Science, Volume 6, Issue 4, pp. 477-501, 2009. (SCOPUS)

36.   H.A. Le Thi, H.M. Le, V.V. Nguyen, T. Pham Dinh, A DC Programming approach for Feature Selection in Support Vector Machines learning. Advances in Data Analysis and Classification, Volume 2, Issue 3, pp. 259-278, 2008. (SCIE)

35.   H.A. Le Thi, T. Pham Dinh, A continuous approach for the concave cost supply problem via DC Programming and DCA. Discrete Applied Mathematics, Volume 156, pp. 325-338, 2008. (SCI)

34.   H.A. Le Thi, H.M. Le, T. Pham Dinh, Fuzzy clustering based on nonconvex optimisation approaches using difference of convex (DC) functions algorithms. Advances in Data Analysis and Classification, Volume 1, pp. 85-104, 2007. (SCIE)

33.   F. Akoa, A. Hachemi, H.A. Le Thi, S. Mouhtamid, T. Pham Dinh, Application of lowerbound direct method to engineering structures. Journal of Global Optimization, Volume 37, pp. 609-630, 2007. (SCI)

32.   H.A. Le Thi, T. Belghiti, T. Pham Dinh, A new efficient algorithm based on DC programming and DCA for Clustering. Journal of Global Optimization, Volume 37, pp. 593-608, 2007. (SCI)

31.   H.A. Le Thi, H.M. Le, T. Pham Dinh, Optimization based DC programming and DCA for Hierarchical Clustering. European Journal of Operational Research, Volume 183, pp. 1067-1085, 2007. (SCIE)

30.   H.A. Le Thi, T.P. Nguyen, T. Pham Dinh, A Continuous DC Programming Approach To The Strategic Supply Chain Design Problem From Qualified Partner Set. European Journal of Operational Research, Volume 183, pp. 1001-1012, 2007. (SCIE)

29.   H.A. Le Thi, M. Ouanes, Quadratic underestimation and Branch and Bound algorithm for univariate global optimization with one nonconvex constraint. RAIRO-Operational Research, Volume 40, Issue 3, pp. 285-302, 2006. (SCIE)

28.   H.A. Le Thi, T. Pham Dinh, The DC (Difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems. Annals of Operations Research, Volume 133, pp. 23- 46, 2005. (SCI)

27.   H.A. Le Thi, Solving large scale molecular distance geometry problems by a smoothing technique via the gaussian transform and d.c. programming. Journal of Global Optimization, Volume 27, Issue 4, pp. 375-397, 2003. (SCI)

26.   H.A. Le Thi, T. Pham Dinh, A new algorithm for solving larges cale molecular distance geometry problems. Applied Optimization: Special Issue “High Performance Algorithms and Software for Nonlinear Optimization”, Kluwer Academic Publishers, pp. 285-302, 2003.

25.   H.A. Le Thi, T. Pham Dinh, D.N. Hao, D.C. (Difference of Convexe) Functions Programming for Solving an Inverse Problem for an Elliptic Equation. Journal of Global Optimization, Volume 25, Issue 4, pp. 407-423, 2003. (SCI)

24.   H.A. Le Thi, T. Pham Dinh, D.N. Hao, On the ill-posedness of the trust region subproblem. Journal of Inverse and Ill-posed Problems, Volume 11, Issue 6, pp. 545-579, 2003. (SCIE)

23.   H.A. Le Thi, T. Pham Dinh, D.M. Le, Simplicially constrained D.C. Optimization formulation for optimizing over the efficient and weakly effcient sets. Journal of Optimization Theory and Applications, Volume 117, Issue 3, pp. 503-531, 2003. (SCI)

22.   H.A. Le Thi, T. Pham Dinh, Large Scale Global Molecular Optimization from exact distance matrices by a d.c. optimization approach. SIAM Journal on Optimization, Volume 14, Issue 1, pp. 77-114, 2003. (SCI)

21.   H.A. Le Thi, T. Pham Dinh, D.N. Hao, Towards Tikhonov regularization of nonlinear ill-posed problems: a dc (difference of convex functions) approach. Comptes Rendus Mathematique, Volume 335, Issue 12, pp. 1073-1078, 2002. (SCI)

20.   H.A. Le Thi, T. Pham Dinh, V.T. Nguyen, Combination between Local and Global methods for solving an Optimization problem over the Efficient set. European Journal of Operational Research, Volume 142, pp. 258-270, 2002. (SCIE)

19.   H.A. Le Thi, T. Pham Dinh, D.C. Programming Approach for Multicommodity Network Optimization Problems with Step Increasing Cost Functions. Journal of Global Optimization, Volume 22, pp. 205-232, dedicated to Professor R. Horst on the occasion of his 60-th birthday, 2002. (SCI)

18.   H.A. Le Thi, T. Pham Dinh, A continuous approach for large-scale constrained quadratic zero-one programming. In honor of Professor ELSTER, Founder of the Journal Optimization, Optimization, Volume 45, Issue 3, pp. 1-28, 2001. (SCIE)

17.   H.A. Le Thi, T. Pham Dinh, D.C. optimization approaches via Markov models for restoration of signals affected by additive gaussian white noise. Nonconvex Optimization and Its Applications, Special Issue “Advances on Convex Analysis and Global Optimization”, Kluwer Academic Publishers, pp. 303-317, 2001.

16.   H.A. Le Thi, T. Pham Dinh, D.C. Programming approach and solution algorithm to the Multidimensional Scaling Problem, Nonconvex Optimization and Its Applications, Kluwer Academic Publishers, Volume 53, pp. 231-276, 2001.

15.   H.A. Le Thi, An efficient algorithm for globally minimizing a quadratic function under convex quadratic constraints. Mathematical Programming, Ser. A, Volume 87, Issue 3, pp. 401-426, 2000. (SCI)

14.   H.A. Le Thi, T. Pham Dinh, D.C. programming approach for large-scale molecular optimization via the general distance geometry problem. Nonconvex Optimization and Its Applications: Special Issue: “Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches” (This Special Issue contains refereed invited papers at the conference on Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches held at Princeton University, May7-9, 1999), Volume 40, pp. 301-339, 2000.

13.   H.A. Le Thi, T. Pham Dinh, D.M. Le, Exact penalty in d.c. programming. Vietnam Journal of Mathematics, Volume 27, Issue 2, pp. 169-178, 1999. (SCOPUS)

12.   T. Pham Dinh, H.A. Le Thi, D.C. optimization algorithms for solving the trust region subproblem. SIAM Journal on Optimization, Volume 8, Issue 2, pp. 476-505, 1998. (SCI)

11.   H.A. Le Thi, T. Pham Dinh, D.M. Le, A combined D.C. Optimization-Ellipsoidal Branch-and-Bound Algorithm for Solving Nonconvex Quadratic Programming Problems. Journal of Combinatorial Optimization, Volume 2, Issue 1, pp. 9-28, 1998. (SCIE)

10.   H.A. Le Thi, T. Pham Dinh, A Branch-and-Bound method via D.C. Optimization Algorithm and Ellipsoidal technique for Box Constrained Nonconvex Quadratic Programming Problems. Journal of Global Optimization, Volume 13, pp. 171-206, 1998. (SCI)

9.  T. Pham Dinh, H.A. Le Thi, Convex analysis approach to d.c. programming: Theory, Algorithm and Applications. Acta Mathematica Vietnamica, Volume 22, Issue 1, pp. 289-355, dedicated to Professor Hoang Tuy on the occasion of his 70th birthday, 1997. (SCOPUS)

8. H.A. Le Thi, T. Pham Dinh, Solving a class of linearly constrained indefinite quadratic problems by D.C. algorithms. Journal of Global Optimization, Volume 11, pp. 253-285, 1997. (SCI)

7. H.A. Le Thi, T. Pham Dinh, D.M. Le, Numerical solution for optimization over the efficient set by D.C. optimization algorithms. Operations Research Letters, Volume 19, pp. 117-128, 1996. (SCI)

6. T. Pham Dinh, H.A. Le Thi, D.C. (difference of convex function) optimization algorithms (DCA) for globally minimizing nonconvex quadratic forms on Euclidean balls and spheres. Operations Research Letters, Volume 19, pp. 207-216, 1996. (SCI)

5. Q.P. Thai, H.A. Le Thi, T. Pham Dinh, On Globally Solving Linearly Constrained Indefinite Quadratic Minimization Problems by Decomposition Branch and Bound Method. RAIRO, Recherche Opérationnelle, Volume 30, Issue 1, pp. 31-49, 1996. (SCIE)

4. Q.P. Thai, H.A. Le Thi, T. Pham Dinh, Decomposition branch and bound method for globally solving linearly constrained indefinite quadratic minimization problems. Operations Research Letters, Volume 17, pp. 215-220, 1995. (SCI)

3. T. Pham Dinh, H.A. Le Thi, Lagrangian stability and global optimality in nonconvex quadratic minimization over Euclidean balls and spheres. Journal of Convex Analysis, Volume 2, pp. 263-276, 1995. (SCIE)

2. Q.P. Thai, T. Pham Dinh, H.A. Le Thi, A New Method for Solving D.C. Programming Problem. Application to Fuel Mixture Nonconvex Optimization Problem. Journal of Global Optimization, Volume 6, pp. 87-105, 1995. (SCI)

1. T. Pham Dinh, H.A. Le Thi, Stabilité de la dualité lagrangienne en optimisation d.c. (différence de deux fonctions convexes). C.R.Acad. Paris, t. 318, Série I, 1994. (SCI) 

National journals

2. H.A. Le Thi, H.M. Le, T. Pham Dinh, Une nouvelle approche basée sur la programmation DC et DCA pour la classification floue, Revue de Nouvelles Technologies d'Information, pp. 173-185, 2007.

1. H.A. Le Thi, H.M. Le, T.P. Nguyen, T. Pham Dinh, Segmentation d'images par la classification floue, Revue de Nouvelles Technologies d'Information, 2008.

II.2. Peer-reviewed book chapters

87. Tuyet Trinh Nguyen Thi, Hoai An Le Thi: A DCA-Like Based Algorithm for the Merkle Tree Construction Problem in Ethereum Cryptocurrency System. Numerical Computations: Theory and Algorithms, Lecture Notes in Computer Science, vol 14476. Springer, Cham, 2025.

86. Hoai An Le Thi , Tao Pham Dinh , Hoang Phuc Hau Luu, Hoai Minh Le, Deterministic and stochastic DCA for DC programming, Handbook of Engineering Statistics 2nd edition, Springer, 2023, 10.1007/978-1-4471-7503-2_34.

85. Van Tuan Pham, Hoai An Le Thi, Hoang Phuc Hau Luu, Pascal Damel, DCA-Based Weighted Bagging: A New Ensemble Learning Approach, in Lecture Notes in Computer Science book series (LNAI,volume 13996), pp. 121-132, 2023, 10.1007/978-981-99-5837-5_11.

84. Thi Tuyet Trinh Nguyen, Hoai An Le Thi, Xuan Vinh Doan, Optimizing Merkle Tree Structure for Blockchain Transactions by a DC Programming Approach, in Lecture Notes in Computer Science book series (LNAI, volume 14162) pp. 405-417, 2023, 10.1007/978-3-031-41456-5_31.

83. Thi Tuyet Trinh Nguyen , Hoang Phuc Hau Luu , Hoai An Le Thi, Solving a Centralized Dynamic Group Key Management Problem by an Optimization Approach, in Le Thi et al (eds), pp.375-385, 2021, Lecture Notes in Networks and Systems, 978-3-030-92666-3, 978-3-030-92665-6. ⟨10.1007/978-3-030-92666-3_32⟩  

82. Hoai An Le Thi , Vinh Thanh Ho, DCA for Gaussian Kernel Support Vector Machines with Feature Selection, in Le Thi et al. eds, 363, Springer International Publishing, pp.223-234, 2022, Lecture Notes in Networks and Systems, 978-3-030-92665-6, 978-3-030-92666-3. ⟨10.1007/978-3-030-92666-3_19⟩

81. Van Tuan Pham , Hoang Phuc Hau Luu , Hoai An Le Thi, A Block Coordinate DCA Approach for Large-Scale Kernel SVM, Computational Collective Intelligence, 13501, Springer International Publishing, pp.334-347, 2022, Lecture Notes in Computer Science, 978-3-031-16013-4, 978-3-031-16014-1. ⟨10.1007/978-3-031-16014-1_27⟩

80. Thanh-Nghi Do, Hoai An Le Thi, Training Support Vector Machines for Dealing with the ImageNet Challenging Problem, in H.A. Le Thi et all (eds), Springer International Publishing, pp.235-246, 2021, Lecture Notes in Networks and Systems 363, 978-3-030-92666-3, 978-3-030-92665-6. ⟨10.1007/978-3-030-92666-3_20⟩

79. V.T. Ho, H.A. Le Thi, An Alternating DCA-Based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation. In: Kotsireas I., Pardalos P. (eds) Learning and Intelligent Optimization. Lecture Notes in Computer Science, volume 12096, pp. 264-277, Springer 2020, ISBN 978-3-030-53551-3.

78. V.A. Nguyen, H.A. Le Thi, H.M. Le, A DCA Based Algorithm for Feature Selection in Model-Based Clustering. In: Nguyen N., Jearanaitanakij K., Selamat A., Trawiński B., Chittayasothorn S. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 12033, pp. 404-415, Springer 2020, ISBN 978-3-030-41963-9.

77. B. Tran, H.A. Le Thi, Deep Clustering with Spherical Distance in Latent Space. In: Le Thi H.A., Le H.M., Pham Dinh T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Advances in Intelligent Systems and Computing, volume 991, pp. 231-242, Springer 2020, ISBN 978-3-030-38363-3.

76. A.S. Ta, H.A. Le Thi, T. Pham Dinh, Solving Efficient Target-Oriented Scheduling in Directional Sensor Networks by DCA. In: Le Thi H.A., Le H.M., Pham Dinh T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Advances in Intelligent Systems and Computing, volume 991, pp. 52-63, Springer 2020, ISBN 978-3-030-38363-3.

75. V.T. Ho, H.A. Le Thi, T. Pham Dinh, DCA with Successive DC Decomposition for Convex Piecewise-Linear Fitting. In: Le Thi H.A., Le H.M., Pham Dinh T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Advances in Intelligent Systems and Computing, volume 991, pp. 39-51, Springer 2020, ISBN 978-3-030-38363-3.

74. S. Hennequin, V.T. Ho, H.A. Le Thi, H. Nouinou, D. Roy, Industrial Symbioses: Bi-objective Model and Solution Method. In: Le Thi H.A., Le H.M., Pham Dinh T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Advances in Intelligent Systems and Computing, volume 991, pp. 1054-1066, Springer 2020, ISBN 978-3-030-21802-7.

73. P.A. Nguyen, H.A. Le Thi, A DCA-Based Approach for Outage Constrained Robust Secure Power-Splitting SWIPT MISO System. In: Le Thi H.A., Le H.M., Pham Dinh T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Advances in Intelligent Systems and Computing, volume 991, pp. 289-298, Springer 2020, ISBN 978-3-030-21802-7.

72. S. Samir, H.A. Le Thi, M. Yagouni, DCA-Like, GA and MBO: A Novel Hybrid Approach for Binary Quadratic Programs. In: Le Thi H.A., Le H.M., Pham Dinh T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Advances in Intelligent Systems and Computing, volume 991, pp. 299-309, Springer 2020, ISBN 978-3-030-21802-7.

71. V.A. Nguyen, H.A. Le Thi, Online DCA for Times Series Forecasting Using Artificial Neural Network. In: Le Thi H.A., Le H.M., Pham Dinh T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Advances in Intelligent Systems and Computing, volume 991, pp. 320-329, Springer 2020, ISBN 978-3-030-21802-7.

70. G.D. Silva, H.M. Le, H.A. Le Thi, V. Lefieux, B. Tran, Customer Clustering of French Transmission System Operator (RTE) Based on Their Electricity Consumption. In: Le Thi H.A., Le H.M., Pham Dinh T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Advances in Intelligent Systems and Computing, volume 991, pp. 893-905, Springer 2020, ISBN 978-3-030-21802-7.

69. S. Samir, H.A. Le Thi, A Collaborative Approach Based on DCA and VNS for Solving Mixed Binary Linear Programs. In: Nguyen N.T., Gaol F., Hong T.P., Trawiński B. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 11431, pp. 510-519, Springer 2019, ISBN 978-3-030-14798-3.

68. P.A. Nguyen, H.A. Le Thi, A DC Programming Approach for Worst-Case Secrecy Rate Maximization Problem. In: Nguyen N.T., Pimenidis E., Khan Z., Trawiński B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science, volume 11055, pp. 417-425, Springer 2018, ISBN 978-3-319-98445-2.

67. H.A. Le Thi, H.M. Le, D.N. Phan, B. Tran, Stochastic DCA for Sparse Multiclass Logistic Regression. In: Le N.T., Do T.V., Nguyen N.T., Le Thi H.A. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 629, pp. 1-12, Springer 2018, ISBN 978-3-319-61910-1.

66. X.T. Vo, B. Tran, H.A. Le Thi, T. Pham Dinh, Ramp Loss Support Vector Data Description. In: Nguyen N.T., Tojo S., Nguyen L., Trawiński B. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 10191, pp. 421-431, Springer 2017, ISBN 978-3-319-54471-7.

65. D.N. Phan, H.A. Le Thi, T. Pham Dinh, Efficient Bi-level Variable Selection and Application to Estimation of Multiple Covariance Matrices. In: Kim J., Shim K., Cao L., Lee JG., Lin X., Moon YS. (eds) Advances in Knowledge Discovery and Data Mining. Lecture Notes in Computer Science, volume 10234, pp. 304-316, Springer 2017, ISBN 978-3-319-57453-0.

64. H.A. Le Thi, T.T. Tran, T. Pham Dinh, A. Gély, DC Programming and DCA for Transmit Beamforming and Power Allocation in Multicasting Relay Network. In: Nguyen T.B., Do T.V., Le Thi H.A., Nguyen N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 453, pp. 29-41, Springer 2016, ISBN 978-3-319-38883-0.

63. V.T. Ho, H.A. Le Thi, Solving an Infinite-Horizon Discounted Markov Decision Process by DC Programming and DCA. In: Nguyen T.B., Do T.V., Le Thi H.A., Nguyen N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 453, pp. 43-55, Springer 2016, ISBN 978-3-319-38883-0.

62. T.M.T. Nguyen, H.A. Le Thi, A DC Programming Approach to the Continuous Equilibrium Network Design Problem. In: Nguyen T.B., Do T.V., Le Thi H.A., Nguyen N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 453, pp. 3-16, Springer 2016, ISBN 978-3-319-38883-0.

61. X.T. Vo, H.A. Le Thi and T. Pham Dinh, Robust Optimization for Clustering. In: Nguyen N.T., Trawiński B., Fujita H., Hong TP. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 9622, pp. 671-680, Springer 2016, ISBN 978-3-662-49389-2.

60. T.T. Tran, N.T. Nguyen, H.A. Le Thi and A. Gély, DC programming and DCA for enhancing Physical Layer Security via Relay Beamforming Strategies. In: Nguyen N.T., Trawiński B., Fujita H., Hong T.P. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 9622, pp. 640-650, Springer 2016, ISBN 978-3-662-49389-2.

59. V.T. Ho, H.A. Le Thi and D.C. Bui, Online DC optimization for Online Binary Linear Classication. In: Nguyen N.T., Trawiński B., Fujita H., Hong T.P. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 9622, pp. 661-670, Springer 2016, ISBN 978-3-662-49389-2.

58. X.T. Vo, H.A. Le Thi, T.B.T. Nguyen and T. Pham Dinh, DC Programming and DCA for Dictionary Learning. In: Núñez M., Nguyen N.T., Camacho D., Trawiński B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science, volume 9329, pp. 295-304, Springer 2015, ISBN 978-3-319-24068-8.

57. H.A. Le Thi, D.N. Phan, A DC Programming Approach for Sparse Optimal Scoring. In: Cao T., Lim E.P., Zhou Z.H., Ho T.B., Cheung D., Motoda H. (eds) Advances in Knowledge Discovery and Data Mining. Lecture Notes in Computer Science, volume 9078, pp. 435-446, Springer 2015, ISBN 978-3-319-18031-1.

56. M.T. Ta, H.A. Le Thi, An Improvement of Stability Based Method to Clustering. In: Le Thi H.A., Pham Dinh T., Nguyen N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 358, pp. 57-68, Springer 2015, ISBN 978-3-319-17995-7.

55. T.T. Tran, H.A. Le Thi, T. Pham Dinh, DC Programming and DCA for a Novel Resource Allocation Problem in Emerging Area of Cooperative Physical Layer Security. In: Le Thi H.A., Pham Dinh T., Nguyen N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 358, pp. 57-68, Springer 2015, ISBN 978-3-319-17995-7.

54. T.B.T. Nguyen, H.A. Le Thi, H.M. Le, X.T. Vo, DC Approximation Approach for ℓ0-minimization in Compressed Sensing. In: Le Thi H.A., Pham Dinh T., Nguyen N.T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, volume 359, pp. 37-48, Springer 2015, ISBN 978-3-319-18160-8.

53. Y.S. Niu, J. Júdice, H.A. Le Thi, T. Pham Dinh, Solving the Quadratic Eigenvalue Complementarity Problem by DC Programming. In: Le Thi H.A., Pham Dinh T., Nguyen N.T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, volume 359, pp. 203-214, Springer 2015, ISBN 978-3-319-18160-8.

52. A.S. Ta, H.A. Le Thi, T.S. Ha, Solving Relaxation Orienteering Problem Using DCA-CUT. In: Le Thi H.A., Pham Dinh T., Nguyen N.T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, volume 359, pp. 191-202, Springer 2015, ISBN 978-3-319-18160-8.

51. D.N. Phan, H.A. Le Thi, T. Pham Dinh, A DC Programming Approach for Sparse Estimation of a Covariance Matrix. In: Le Thi H.A., Pham Dinh T., Nguyen N.T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, volume 359, pp. 131-142, Springer 2015, ISBN 978-3-319-18160-8.

50. H.A. Le Thi, D.M. Nguyen, T. Pham Dinh, A Based-DC Programming Approach for Planning a Multisensor Multizone Search for a Moving Target. In: Le Thi H.A., Pham Dinh T., Nguyen N.T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, volume 359, pp. 107-118, Springer 2015, ISBN 978-3-319-18160-8.

49. H.A. Le Thi, DC Programming and DCA for Challenging Problems in Bioinformatics and Computational Biology. In: Adamatzky A. (eds) Automata, Universality, Computation. Emergence, Complexity and Computation, volume 12, pp. 383-414, Springer 2015, ISBN 978-3-319-09038-2.

48. H.A. Le Thi, T. Pham Dinh, X.T. Vo, DC Programming and DCA for Nonnegative Matrix Factorization. In: Hwang D., Jung J.J., Nguyen N.T. (eds) Computational Collective Intelligence. Technologies and Applications. Lecture Notes in Computer Science, volume 8733, pp. 573-582, Springer 2014, ISBN 978-3-319-11288-6.

47. H.A. Le Thi, P. Damel, N. Peltre, T.P. Nguyen, The Confrontation of Two Clustering Methods in Portfolio Management: Ward's Method Versus DCA Method. In: Do T.V., Le Thi H.A., Nguyen N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 282, pp. 87-98, Springer 2014, ISBN 978-3-319-06568-7.  

46. D.N. Phan, M.C. Nguyen, H.A. Le Thi, A DC Programming Approach for Sparse Linear Discriminant Analysis. In: Do T.V., Le Thi H.A., Nguyen N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 282, pp. 65-74, Springer 2014, ISBN 978-3-319-06568-7.

45. H.A. Le Thi, V.N. Huynh, T. Pham Dinh, DC Programming and DCA for General DC Programs. In: Do T.V., Le Thi H.A., Nguyen N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 282, pp. 15-35, Springer 2014, ISBN 978-3-319-06568-7.  

44. M. Yagouni, H.A. Le Thi, A Collaborative Metaheuristic Optimization Scheme: Methodological Issues. In: Do T.V., Le Thi H.A., Nguyen N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, volume 282, pp. 3-14, Springer 2014, ISBN 978-3-319-06568-7.

43. H.A. Le Thi, A.V. Le, X.T. Vo, A. Zidna, A Filter Based Feature Selection Approach in MSVM Using DCA and Its Application in Network Intrusion Detection. In: Nguyen N.T., Attachoo B., Trawiński B., Somboonviwat K. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 8398, pp. 403-413, Springer 2014, ISBN 978-3-319-05457-5.

42. T. Pham Dinh, V.N. Pham, H.A. Le Thi, DC Programming and DCA for Portfolio Optimization with Linear and Fixed Transaction Costs. In: Nguyen N.T., Attachoo B., Trawiński B., Somboonviwat K. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 8398, pp. 392-402, Springer 2014, ISBN 978-3-319-05457-5.

41. M.T. Ta, H.A. Le Thi, L. Boudjeloud-Assala, An Efficient Clustering Method for Massive Dataset Based on DC Programming and DCA Approach. In: Lee M., Hirose A., Hou ZG., Kil R.M. (eds) Neural Information Processing. Lecture Notes in Computer Science, volume 8227, pp. 538-545, 2013, ISBN 978-3-642-42041-2.

40. H.A. Le Thi, M.T. Le, T.B.T. Nguyen, A novel approach to automated cell counting based on DCA. In: Bǎdicǎ C., Nguyen N.T., Brezovan M. (eds) Computational Collective Intelligence. Technologies and Applications. Lecture Notes in Computer Science, volume 8083, pp. 336-345, Springer 2013, ISBN 978-3-642-40494-8.

39. H.M. Le, H.A. Le Thi, M.C. Nguyen, DCA based algorithms for feature selection in Semi-Supervised Support Vector Machines. In: Perner P. (eds) Machine Learning and Data Mining in Pattern Recognition. Lecture Notes in Computer Science, volume 7988, pp. 528-542, Springer 2013.

38. H.A. Le Thi, X.T. Vo, T. Pham Dinh, Robust Feature Selection for SVMs under Uncertain Data. In: Perner P. (eds) Advances in Data Mining. Applications and Theoretical Aspects. Lecture Notes in Computer Science, volume 7987, pp. 151–165, Springer 2013.

37. M.T. Ta, H.A. Le Thi, L. Boudjeloud-Assala, Clustering data streams over sliding windows by DCA. In: Nguyen N.T., Do T.V., Le Thi H.A. (eds) Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence, volume 479, pp. 65-75, Springer 2013.

36. H.M. Le, T.B.T Nguyen, M.T. Ta, H.A. Le Thi, Image Segmentation via Feature Weighted Fuzzy Clustering by a DCA based algorithm. In: Nguyen N.T., Do T.V., Le Thi H.A. (eds) Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence, volume 479, pp. 52-63, Springer 2013.

35. H.A. Le Thi, M.C. Nguyen, Efficient algorithms for Feature Selection in Multi-class Support Vector Machine. In: Nguyen N.T., Do T.V., Le Thi H.A. (eds) Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence, volume 479, pp. 41-52, Springer 2013.

34. V.N. Pham, H.A. Le Thi, T. Pham Dinh, A DC programming framework for portfolio selection by minimizing the transaction costs. In: Nguyen N.T., Do T.V., Le Thi H.A. (eds) Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence, volume 479, pp. 31-40, Springer 2013.

33. H.A. Le Thi, Q.T. Nguyen, T.K. Phan, T. Pham Dinh, DC Programming and DCA Based Cross-layer Optimization in Multi-hop TDMA Networks. In: Selamat A., Nguyen N.T., Haron H. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 7803, pp. 398-408, Springer 2013.

32. H.A. Le Thi, T.B.T. Nguyen, H.M. Le, Sparse signal recovery by Difference of Convex functions Algorithms. In: Selamat A., Nguyen N.T., Haron H. (eds) Intelligent Information and Database Systems, Lecture Notes in Computer Science, volume 7803, pp. 387-397, Springer 2013.

31. H.A. Le Thi, T. Pham Dinh, DC programming approaches for Distance Geometry problems. In: Mucherino A., Lavor C., Liberti L., Maculan N. (eds) Distance Geometry, pp. 225-290, Springer 2013.

30. V.N. Pham, H.A. Le Thi, T. Pham Dinh, Solving Nurse Rostering Problems by a Multiobjective Programming Approach. In: Nguyen N.T., Hoang K., Jȩdrzejowicz P. (eds) Computational Collective Intelligence. Technologies and Applications. Lecture Notes in Computer Science, volume 7653, pp. 544-552, Springer 2012.

29. A.V. Le, H.A. Le Thi, M.C. Nguyen, A. Zidna, Network Intrusion Detection Based on Multi-Class Support Vector Machine. In: Nguyen N.T., Hoang K., Jȩdrzejowicz P. (eds) Computational Collective Intelligence. Technologies and Applications. Lecture Notes in Computer Science, volume 7653, pp. 536-543, Springer 2012.

28. M.T. Ta, H.A. Le Thi, L. Boudjeloud-Assala, Clustering Data Stream by a Sub-window Approach Using DCA. In: Perner P. (eds) Machine Learning and Data Mining in Pattern Recognition. Lecture Notes in Computer Science, volume 7376, pp. 279-292, Springer 2012.

27. H.M. Le, H.A. Le Thi, T. Pham Dinh, Gaussian Kernel Minimum Sum-of-Squares Clustering and Solution Method based on DCA. In: Pan J.S., Chen S.M., Nguyen N.T. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 7197, pp. 331-340, Springer 2012.  

26. B.M. Ndiaye, H.A. Le Thi, T. Pham Dinh, Y.S. Niu, DC Programming and DCA for Large-scale Two-dimensional Packing Problems. In: Pan J.S., Chen S.M., Nguyen N.T. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 7197, pp. 321-330, Springer 2012.

25. D.M. Nguyen, H.A. Le Thi, T. Pham Dinh, A Cross-Entropy Method for Value-at-Risk constrained Optimization. In: Nguyen N.T., Kim C.G., Janiak A. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 6592, pp. 442-451, Springer 2011.

24. Q.T. Nguyen, H.A. Le Thi, Solving an inventory routing problem in supply chain by DC programming and DCA. In: Nguyen N.T., Kim C.G., Janiak A. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 6592, pp. 432-441, Springer 2011.

23. H.M. Le, H.A. Le Thi, T. Pham Dinh, V.N. Huynh, An efficient DCA for spherical separation. In: Nguyen N.T., Kim C.G., Janiak A. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 6592, pp. 421-431, Springer 2011.

22. D.Q. Tran, H.A. Le Thi, K.H. Adjallah, DCA for Minimizing the Cost and Tardiness of Preventive Maintenance Tasks under Real-Time Allocation Constraint. In: Nguyen N.T., Le M.T., Świątek J. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 5991, pp. 410-419, Springer 2010.

21. A.S. Ta, H.A. Le Thi, D. Khadraoui, T. Pham Dinh, Solving QoS Routing Problems by DCA. In: Nguyen N.T., Le M.T., Świątek J. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, volume 5991, pp. 460-470, Springer 2010.

20. H.A. Le Thi, T. Pham Dinh, Minimum Sum-of-Squares Clustering by DC programming and DCA. In: Huang D.S., Jo K.H., Lee H.H., Kang H.J., Bevilacqua V. (eds) Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence. Lecture Notes in Computer Science, volume 5755, pp. 327-340, Springer 2010.

19. F. Allouti, M. Nadif, H.A. Le Thi, B. Otjacques, Mixture Model and MDSDCA for Textual Data. In: Luo Y. (eds) Cooperative Design, Visualization, and Engineering. Lecture Notes in Computer Science, volume 5738, pp. 240-244, Springer 2009.

18. S. Bouallagui, H.A. Le Thi, T. Pham Dinh, Design of highly nonlinear balanced Boolean functions using an hybridization of DCA and Simulated Annealing algorithm. In: Le Thi H.A., Bouvry P., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Communications in Computer and Information Science, volume 14, pp. 583-592, Springer 2008.

17. M. Thiao, T. Pham Dinh, H.A. Le Thi, DC programming approach for a class of nonconvex programs involving l0 norm. In: Le Thi H.A., Bouvry P., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Communications in Computer and Information Science, volume 14, pp. 358-367, Springer 2008.

16. B.K. Nguyen Thi, H.A. Le Thi, M.T. Tran, Outcome-Space Polyblock Approximation Algorithm for Optimizing over Efficient Sets. In: Le Thi H.A., Bouvry P., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Communications in Computer and Information Science, volume 14, pp. 244-253, Springer 2008.

15. H.A. Le Thi, M. Ouanes, A. Zidna, An adapted branch and bound algorithm for approximating real root of a polynomial. In: Le Thi H.A., Bouvry P., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Communications in Computer and Information Science, volume 14, pp. 191-198, Springer 2008.

14. B. M. Ndiaye, T. Pham Dinh, H.A. Le Thi, DC programming and DCA for SSCRP. In: Le Thi H.A., Bouvry P., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Communications in Computer and Information Science, volume 14, pp. 21-30, Springer 2008.

13. H.A. Le Thi, V.V. Nguyen, S. Ouchani, Gene selection for cancer classification using DCA. In: Tang C., Ling C.X., Zhou X., Cercone N.J., Li X. (eds) Advanced Data Mining and Applications. Lecture Notes in Computer Science, volume 5139, pp. 62-72, Springer 2008.

12. H.M. Le, H.A. Le Thi, T. Pham Dinh, P. Bouvry, A deterministic Optimization approach for generating highly nonlinear balanced boolean functions in Cryptography. In: Bock H.G., Kostina E., Phu H.X., Rannacher R. (eds) Modeling, Simulation and Optimization of Complex Processes, pp. 381-391, Springer 2008.

11. H.A. Le Thi, H.M. Le, T.P. Nguyen, T. Pham Dinh, Noisy image segmentation by a robust clustering algorithm based on DC programming and DCA. In: Perner P. (eds) Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects. Lecture Notes in Computer Science, volume 5077, pp. 71-86, Springer 2008.

10. C.N. Nguyen, H.A. Le Thi, T. Pham Dinh, A Branch and Bound Algorithm based on DC Programming and DCA for Strategic Capacity Planning in Supply Chain Design for a New Market Opportunity. In: Waldmann KH., Stocker U.M. (eds) Operations Research Proceedings 2006. Operations Research Proceedings, volume 2006, pp. 515-520, Springer 2006.

9.   H.A. Le Thi, H.M. Le, T. Pham Dinh, Hierarchical Clustering based on Mathematical Optimization. In: Ng WK., Kitsuregawa M., Li J., Chang K. (eds) Advances in Knowledge Discovery and Data Mining. Lecture Notes in Computer Science, volume 3918, pp. 160-173, Springer-Verlag Berlin Heidelberg 2006.

8.   M.T. Belghiti, H.A. Le Thi, T. Pham Dinh, Clustering via DC programming and DCA. In: Le Thi H.A., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Hermes Sciences Publishing, pp. 499-507, 2004.

7.   H.A. Le Thi, T.P. Nguyen, T. Pham Dinh, A DC programming approach to the strategic supply chain design problem from qualified partner set. In: Le Thi H.A., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Hermes Sciences Publishing, pp. 327-335, 2004.

6.   A. Hachemi, H.A. Le Thi, S. Mouhtamid, T. Pham Dinh, Large-scale nonlinear programming and lower bound direct method in engineering applications. In: Le Thi H.A., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Hermes Sciences Publishing, pp. 299-310, 2004.

5.   H.A. Le Thi, M. Ouanes, A tighter lower bound by convex quadratic function for univariate global optimization. In: Le Thi H.A., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Hermes Sciences Publishing, pp. 223-231, 2004.

4.   F. Akoa, H.A. Le Thi, T. Pham Dinh, An Interior Point Algorithm with DC Regularization for Nonconvex Quadratic Programming. In: Le Thi H.A., Pham Dinh T. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Hermes Sciences Publishing, pp. 87-96, 2004.

3.   H.A. Le Thi, DC Programming for solving a class of global optimization problems via reformulation by exact penalty. In: Bliek C., Jermann C., Neumaier A. (eds) Global Constrained Optimization and Constraint Satisfaction. Lecture Note in Computer Science, volume 2861, pp. 87-101, Springer 2003.

2. H.A. Le Thi, T. Pham Dinh, Large Scale Molecular Conformation via the exact distance geometry problem. In: Nguyen V.H., Strodiot J.J., Tossings P. (eds) Optimization. Lecture Notes in Economics and Mathematical Systems, volume 481, pp. 260-277, Springer-Verlag, Heidelberg 2000.

1. T.Q. Phong, T. Pham Dinh, H.A. Le Thi, Fuel mixture nonconvex optimization. Solution methods and numerical simulations. In: Durier R., Michelot C. (eds) Recent Developments in Optimization. Lecture Notes in Economics and Mathematical Systems, volume 429, pp. 291-305, Springer 1995. 

II.3. Peer-reviewed papers in proceedings of international conferences

43. D.N. Phan, H.M. Le, H.A. Le Thi, Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression. IJCAI 2018: pp. 1369-1375, Proceedings of the 27th International Joint Conference on Artificial Intelligence, 2018.

42. V.T. Ho, H.A. Le Thi, A. Zidna, A DCA Approach for the Stochastic Shortest Path Problem in Vehicle Routing. IESM 2017: pp. 664-669, 7th International Conference on Industrial Engineering and Systems Management, 2017.

41. D.N. Phan, H.A. Le Thi, A Novel Approach for Estimating Multiple Sparse Precision Matrices Using ℓ0,0 Regularization. DSAA 2017: pp. 726-733, IEEE International Conference on Data Science and Advanced Analytics, 2017.

40. H.A. Le Thi, H.M. Le, D.N. Phan, B. Tran, Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification. ICML 2017: pp. 3394-3403, Proceedings of the 34th International Conference on Machine Learning, 2017.

39. H.A. Le Thi, T. Pham Dinh, Network Utility Maximisation: a DC programming approach for Sigmoidal Utility function. In Proceedings of IEEE conference Advance Technologies for Communications ATC'13 Ho Chi Minh city, 5 pages (published by IEEEXplore), October 16-18, 2013.

38. H.M. Le, M.T. Ta, H.A. Le Thi, T. Pham Dinh, DC Programming and DCA for clustering using weighted dissimilarity measures. In Proceedings of the 5th NIPS Workshop on Optimization for Machine Learning, Lake Tahoe, Nevada, USA, 4 pages, December 2012.

37. A.S. Ta, H.A. Le Thi, T. Pham Dinh, D. Khadraoui: A distributed algorithm solving multiobjective dynamic car pooling problem. In Proceedings of International Conference on Computer and Informatic Science, Kuala Lumpur, Malaysia, 6 pages (published by IEEEXplore), June 11-14, 2012.

36. A.S. Ta, H.A. Le Thi, T. Pham Dinh, D. Khadraoui, Solving many to many multicast qos routing problem using dca and proximal decomposition technique. In Proceedings of International Conference on Computing, Networking and Communications, Hawaii, American, pp. 809-814 (published by IEEEXplore), January 30 – February 2, 2012.

35. A.S. Ta, H.A. Le Thi, G. Arnould, D. Khadraoui, T. Pham Dinh, Solving Car Pooling Problem using DCA. In Proceedings of Global Information Infrastructure Symposium (GIIS 2011), 6 pages (published by IEEEXplore), Danang, August 4-6, 2011.

34. B. Conan-Guez, H.A. Le Thi, M.C. Nguyen, T. Pham Dinh, Détection de communautés : une approche par programmation DC. Dans les Actes des XVIII rencontres de la Société Francophone de Classification, Orléans, France, SFC'11, 4 pages, September 2011.

33. A.S. Ta, H.A. Le Thi, T. Pham Dinh, Power control by DC programming and DCA. In Proceedings of International Conference on Industrial Engineering and Systems Management IESM 2011, 8 pages, May 25-27, 2011.

32. D.Q. Tran, H.A. Le Thi, A fast and scalable algorithm for a multi-stage manufacturing problem. In Proceedings of International Conference on Industrial Engineering and Systems Management IESM 2011, 8 pages, May 25-27, 2011.

31. M. Moeini, H.A. Le Thi, A DC programming approach for the constrained two-dimensional non-guillotine cutting problem. In Proceedings of International Conference on Industrial Engineering and Systems Management IESM 2011, 8 pages, May 25-27, 2011.

30. D.M. Nguyen, H.A. Le Thi, T. Pham Dinh, A Cross-Entropy method for Nonlinear UAV Task Assignment Problem. EEE-RIVF International Conference on Computing and Communication Technologies Research, Innovation and Vision for the Future, Hanoi, Vietnam, pp. 267-271, November 1-4, 2010.

29. H.A. Le Thi, T.P. Nguyen, T. Pham Dinh, Discrete Tomography based on DC programming and DCA. IEEE-RIVF International Conference on Computing and Communication Technologies Research, Innovation and Vision for the Future, Hanoi, Vietnam, pp. 218-223, November 1-4, 2010 .

28. H.A. Le Thi, T. Pham Dinh, Solving the Euclidean k-median problem by DCA. In Proceedings of the 10th WSEAS International Conference on Applied Computer Science (ACS'10), 7 pages, Iwate, Japan, 2010.

27. M. Ouanes, H.A. Le Thi, Branch and Bound for nonconvex SIP. In Proceedings of the Toulouse Global Optimization workshop (TOGO), pp. 113-118, June 2010.

26. A.S. Ta, H.A. Le Thi, D. Khadraoui, T. Pham Dinh, Solving Multicast QoS Routing Problem in the context V2I Communication Services using DCA. 9th IEEE/ACIS (ICIS 2010), Yamagata, Japan, pp. 471-476, August 18-20, 2010.

25. M. Thiao, T. Pham Dinh, H.A. Le Thi, A DC Programming Approach for Sparse Eigenvalue Problem. International Conference on Machine Learning ICML, pp. 1063-1070, 8 pages, 2010.

24. H.A. Le Thi, Q.T. Nguyen, H.T. Nguyen, T. Pham Dinh, A time-indexed formulation of earliness tardiness scheduling via DC programming and DCA. In Proceedings of the International Multiconference on Computer Science and Information Technology, pp. 779–784, 2009.

23. J. Schleich, G. Danoy, P. Bouvry, H.A. Le Thi, Blackbone2, an efficient deterministic algorithm for creating 2-connected m-dominating set-based backbones in ad hoc networks. MOBIWAC 2009, pp. 91-98, 2009.

22. J. Schleich, P. Bouvry, H.A. Le Thi, Decentralized Fault-tolerant Connected Dominating Set Algorithm for Mobile Ad hoc Networks. In Proceedings of the 2009 International Conference on Wireless Networks, World Congress in Computer Science Computer Engineering, and Applied Computing, Las Vegas, USA, ICWN 2009, pp. 354-360, July 13-16, 2009.

21. H.A. Le Thi, T. Pham Dinh, S. Bouallagui, Cryptanalysis of an Identification Scheme Based on the Perceptron Problem using a hybridization of deterministic optimization and genetic algorithm. In Proceedings of the 2009 International Conference on Security and Management, World Congress in Computer Science Computer Engineering, and Applied Computing, Las Vegas, USA, Security and Management 2009, pp. 117-123, July 13-16, 2009.

20. H.A. Le Thi, B. Moulay, T. Pham Dinh, Multiple Alignment of Sequences by a Continuous Optimisation Approach Based on DC Programming and DCA. Proceedings of the 2009 International Conference on Bioinformatics & Computational Biology, World Congress in Computer Science Computer Engineering, and Applied Computing, Las Vegas, USA, BIOCOMP 2009, pp. 109-115, July 13-16, 2009.

19. H.A. Le Thi, H.M. Le, T. Pham Dinh, P. Bouvry, Solving the Perceptron Problem by deterministic optimization approach based on DC programming and DCA. In the Proceedings of the 7th IEEE International Conference on Industrial Informatics INDIN, pp. 222-226, 2009.

18. H.A. Le Thi, H.M. Le, V.V. Nguyen, T. Pham Dinh, Combined Feature Selection and Classification using DCA. In Proceedings of RIVF'08, IEEE International conference on Research, Innovation and Vision for the future in Computing & Communications Technologies, Ho Chi Minh city, pp. 233-239, July 13-17, 2008.

17. H.A. Le Thi, N.B. Mbaye, T. Pham Dinh, Solving a multimodal transport problem by DC. In Proceedings of RIVF'08, IEEE International conference on Research, Innovation and Vision for the future in Computing & Communications Technologies, Ho Chi Minh city, pp. 49-56, July 13-17, 2008.

16. H.A. Le Thi, Q.T. Nguyen, T.K. Phan, T. Pham Dinh, Energy Minimization-based Cross-layer Design in Wireless Networks. In Proceedings of the 2008 High Performance Computing & Simulation Conference (HPCS 2008) Nicosia, Cyprus, pp. 283-289, 2008.

15. H.A. Le Thi, M. Ouanes, Optimisation semi-infinie non convexe. Proceedings du colloque International sur l'Optimisation et les Systèmes d'Information COSI'08, Tizi-Ouzou, 9 pages, June 11-13, 2008.

14. H.A. Le Thi, M. Ouanes, Méthode de la diagonale dominante pour un problème d'optimisation globale en dimension n sur un hyper rectangle. In Proceedings du colloque International sur l'Optimisation et les Systèmes d'Information COSI'07, Oran, pp. 129-137, June 11-13, 2007.

13. C.N. Nguyen, T. Pham Dinh, H.A. Le Thi, DC Programming and DCA for Diversity Data Mining. Proccedings des 13ème Rencontres de la Société Francophone de Classification, pp. 63-167, 2006.

12. H.A. Le Thi, H.M. Le, T. Pham Dinh, Une approche en programmation DC pour la classification floue. Proccedings des 13ème Rencontres de la Société Francophone de Classification, pp. 140-144, 2006.

11. H.A. Le Thi, B. Tayeb, T. Pham Dinh, Clustering via DC programming and DCA. Proccedings des 13ème Rencontres de la Société Francophone de Classification, pp. 133-149, 2006.

10. H.A. Le Thi, M. Moeini, Portfolio Selection Under Buy-In Threshold Constraints Using DC Programming and DCA. In IEEE Proceedings of International Conference on Service System and Service Managment, pp. 455-467, 2006.

9.   H.A. Le Thi, T. Belghiti, T. Pham Dinh, A multiple sequence alignment via DC programming and DCA. World scientific 2006. In Proceedings of the first International Conference on Theories and Applications of Computer Science ICTACS, pp. 43-50, 2006.

8.   H. Ait Haddadène, M.A. Boutiche, H.A. Le Thi, Tree length of some graph classes and applications to the routing problem. In Proceedings du colloque International sur l’Optimisation et les Systèmes d’Information COSI’06, Alger, pp. 256-267, 11-13 Juin, 2006.

7.   H.A. Le Thi, M. Ouanes, T.P. Nguyen, A Branch and Bound method for Multivariate Global Optimization with box constraints. In Proceedings du colloque International sur l’Optimisation et les Systèmes d’Information COSI’06, Alger, pp. 325-336, 11-13 Juin, 2006.

6.   H.A. Le Thi, H.M. Le, T. Pham Dinh, Clustering via la programmation DC pour la détermination d'arbre hiérarchique de multidiffusion. In Procceding des 12ème Rencontres de la Société Francophone de Classification, Montréal, pp. 231-240, 2005.

5.   H.A. Le Thi, T. Pham Dinh, DC Programming: Theory, Algorithms and Applications. The State of the Art. In Proceedings (containing refereed contributed papers) of The First International Workshop on Global Constrained Optimization and Constraint Satisfaction (Cocos' 02), Valbonne-Sophia Antipolis, France, 26 pages, October 2-4, 2002.

4.   H.A. Le Thi, A continuation approach via Gaussian transformation to molecular distance geometry problems. In: D.Li, X.Q.Cai, H.W.J.Lee, L.Q.Qi (eds) Optimization Techniques and Applications, volume 1, pp. 104-111, 2001.

3.   H.A. Le Thi, Optimizing over the efficient and weakly efficient sets by D.C. programming. In: D.Li, X.Q.Cai, H.W.J.Lee, L.Q.Qi (eds) Optimization Techniques and Applications, volume 3, pp. 1316-1323, 2001.

2.   H.A. Le Thi, T. Pham Dinh, N.H. Dinh, D.C. (Difference of Convex) Functions Programming for Solving an Inverse Problem for an Elliptic Equation. In: D.Li, X.Q.Cai, H.W.J.Lee, L.Q.Qi (eds) Optimization Techniques and Applications, volume 1, pp. 112-119, 2001.

1.   H.A. Le Thi, T. Pham Dinh, The D.C. (difference of convex functions) Programming and DCA revisited with DC models of real world nonconvex optimization problems. In: D.Li, X.Q.Cai, H.W.J.Lee, L.Q.Qi (eds) Optimization Techniques and Applications, volume 3, pp. 1324-1333, 2001. 

III. Plenary invited lectures in international conferences  

23. Hoai An Le Thi, Invited plenary lecture: DC Learning: Recent advances and ongoing developments, THE 4th International Conference   on Numerical Computations: Theory and Algorithms NUMTA 2023, June 14 – 20, 2023, Calabria, Italy.    

22. Hoai An Le Thi, Invited plenary lecture: DC programming and DCA - foundations, recent advances, and trends, World Congress on Global Optimization WCGO 2021, Jul 2021, Athens, Greece.

21. Hoai An Le Thi, Invited plenary lecture: DC programming and DCA: recent advances and trends, 4th international conference on Modelling, Computation and Optimization in Information Systems and Management Sciences MCO 2021, Dec 2021, Hanoi, Vietnam.

20. Le Thi Hoai An, Advanced machine learning techniques to Big data, Plenary lecture in International conference on Computer science and Information Technology, December 21-22, 2017, Dalat, Vietnam.

19. Le Thi Hoai An, DC learning - algorithms and applications, International Workshop “Optimization Algorithms and Some Related Problems”, Institute of Mathematics, VAST, December 14-16, 2017, Hanoi, Vietnam.

18. Le Thi Hoai An, DC programming and DCA in Machine Learning and Data Mining, CIM Workshop on Machine Learning, October 8-9, 2015, Uppsala, Sweden.

17. Le Thi Hoai An, DC programming and DCA, invited speaker in the International Conference “Optimization and Scientific Computing”, April 24-26, 2014, Hanoi, Vietnam.

16. Le Thi Hoai An, DC programming and DCA in Data Mining and Machine Learning, invited speaker in the International Conference “Statistic and its interactions with other disciplines”, June 5-7, 2013, Ho Chi Minh city, Viet nam.

15. Le Thi Hoai An, DC programming and DCA: Theory, Algorithms and Applications. Invited speaker (tutorial) in the XXVI EURO - INFORMS Joint International Conference: “All roads lead to OR”, July 1-4, 2013, Rome.

14. Pham Duc Truong, Le Thi Hoai An, Plenary Lecture in International Conference on Industrial Engineering and Systems Management IESM, 2011, Metz, France.

13. Le Thi Hoai An, DC programming and DCA for real world nonconvex programming problems, Plenary Lecture in International Conference on Optimization and Its Applications, Banaras Hindu University-India, February 16-18, 2011.

12. Le Thi Hoai An, DC Programming and DCA for Nonconvex Optimization: Theory, Algorithms and Applications, Plenary Lecture at MAMERN’09: 3rd International Conference on Approximation Methods and Numerical Modelling in Environment and Natural Resources Pau, June 8-11, 2009, France.

11. Le Thi Hoai An, A survey on DC programming approach and DCA to Machine Learning: model, algorithms and applications, Plenary lecture at International Symposium on Operational Research (ISOR’08) November 02-06, 2008, Alger.

10. Pham Dinh Tao, Nguyen Canh Nam, Le Thi Hoai An, An Efficient Combined DCA and B&B using SDP Relaxation for Globally Solving Binary Quadratic Programs, Plenary Lecture at the international conference on Advances In Global Optimization: Methods and Applications, June 13-17, 2007, Myconos, Greece.

9.   Le Thi Hoai An, Le Hoai Minh, Pham Dinh Tao and Pascal Bouvry, A Combined DCA - GA for Constructing Highly Nonlinear Balanced Boolean Functions in Cryptography, Plenary Lecture at the international conference on Advances In Global Optimization: Methods and Applications, June 13-17, 2007, Myconos, Greece.

8.   Le Thi Hoai An, Pham Dinh Tao, Programmation DC et DCA : Théorie, Algorithmes et Applications Conférence invité plénière au Colloque International sur l’Optimisation et les Systèmes d’Information COSI’06, June 11-13, pp. 256-267, Alger.

7.   Le Thi Hoai An, Pham Dinh Tao, Nho Dinh Hao, D.C programming approach to Tikhonov regularization for non-linear ill-posed problems, Plenary Lecture at the International Conference on Nonlinear Analysis and Mechanics of Continuous Media (ICONA-MECOM 2003), January 7-10, 2003, HoChiMinh City.

6.   Le Thi Hoai An, Pham Dinh Tao, The predictor corrector DCA for large scale molecular optimization from distance matrices, Plenary Lecture at the International Conference on Nonlinear Analysis and Mechanics of Continuous Media (ICONA-MECOM 2003), January 7-10, 2003, HoChiMinh City.

5.   Le Thi Hoai An, Pham Dinh Tao, A new method for restoration of signals via Markov models Plenary Lecture at International Workshop on Applied Analysis & Optimization (AAO' 2000), August 23-27, 2000, Da Nang, Viet Nam.

4.   Le Thi Hoai An, Pham Dinh Tao, Large Scale Molecular Optimization From Distance Matrices By a D.C. Optimization Approach, Plenary Lecture at the International Workshop on Applied Analysis & Optimization (AAO' 2000), August 23-27, 2000, Da Nang, Viet Nam.

3.   Le Thi Hoai An, Pham Dinh Tao, D.C. Programming Approach for Large Scale Molecular Optimization via the General Distance Geometry Problem, Invited talk at the International Conference On “Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches”, Princeton University, May 7-9, 1999, USA.

2.   Le Thi Hoai An, Pham Dinh Tao, An effcient method for large-scale linearly constrained Quadratic zero-one Programming Problems. Invited talk at the Worshop on “Semidefinite Programming and Interior-Point Approaches for Combinatorial Optimization problems” May 15-17, 1996, Fields Institute, Toronto, Ontario, Canada.

1.   Le Thi Hoai An, Pham Dinh Tao, DC (difference of convex functions) programming: Theory, Algorithms & Applications. Invited talk at the Worshop on “Semidefinite Programming and Interior-Point Approaches for Combinatorial Optimization problems” May 15-17, 1996, Fields Institute, Toronto, Ontario, Canada.