519. (with P. D. Khanh, V. T. Phat and D. B. Tran), Inexact proximal method for weakly convex functions,  to appear in  Global Optim. (2024); DOI: 10.1007/s10898-024-01460-7.

518. (with V. S. T. Long and N. M. Nam), Generalized relative interiors and generalized convexity in infinite dimensions, Optimization,  73 (2024), 3667-3697.

517. (with P. D. Khanh and D. B. Tran), A new inexact gradient descent method
with applications to nonsmooth convex optimization,  Optim. Methods Softw.  (2024); DOI: 10.1080/10556788.2024.2322700 

516. (with P. Wu and X. Yang), Relative well-posedness of constrained systems with applications to variational inequalities, arXiv , arXiv:2212.02727 (2023).

515. (with F. J. Aragon-Artacho and P. Perez-Aros), Coderivative-based semi-Newton method in nonsmooth difference programming, Math. Program. 213 (2025), 385–432.

514. Variational analysis and numerical optimization with applications to Machine learning, Proc. International African Conference on Machine Learning, Optimization, and Applications, Kigali, Rwanda, 2023.

513. (with P. D. Khanh and D. B. Tran), Inexact reduced gradient methods in nonconvex optimization,  J. Optim.  Theory Appl. 203 (2024), 2138–2178.

512. (with A. Zaslavski), Special issue on Optimal Control and Related Topics dedicated to J. Warga (preface),  Communications in Optimization Theory, 2023; http://cot.mathres.org/article-collections

511. Variational analysis in numerical optimization, Proc.  5th International Conference on Problems of Cybernetics and Informatics, Baku, Azerbaijan, 2023.

510. To the memory of Boris Teodorovich Polyak, https://memorialsource.com/memorial/polyak (2023)

509. Approximations Methods  in Problems of Optimization and Control, second edition, 368 pp.,  URSS Publishing,  ISBN 978-5-9710-4381-2,  Moscow,  Russia,  2023.

508. (with N. M. Nam) An Easy Path To Convex Analysis and Applications, second edition,  xx+ 300 pp., Springer Series in Synthesis Lectures on Mathematics and Statistics, 2023.

507. (with P. D. Khanh, V. V.  H. Khoa and V. T. Phat) Variational convexity of functions in Banach spaces,  Functional Analysis and Continuous Optimization (J. M. Amigo et al., eds), Springer Proceedings in Mathematics and Statistics 424, pp. 237–260, 2023;  https://doi.org/10.1007/978-3-031-30014-1_11.

506. (with A. Zaslavski  ) Special issue on Optimization and System Theory dedicated to R. Gabasov (preface) , Communications in Optimization Theory, 2023; http://cot.mathres.org/article-collections

505. (with P. C. Wu and X. Q. Yang) Relative well-posedness of constrained systems in finite and infinite dimensions, arXiv:2212.02727 (2022).

504. (with P. D. Khanh and V. T. Phat) Variational convexity of functions and variational sufficiency in optimization, SIAM J. Optim. 33 (2023),  1231-1158.

503. (with N. M. Nam) Convex Analysis and Beyond,  Vol. 1: Basic Theory,  XVII+585 pp.,  Springer Series in Operations Research and Financial Engineering, 2022.

502.  (with H. Antil, R. Arndt, D. Nguyen and C. N. Rautenberg) Optimal control of a quasi-variational sweeping process,  Math. Control Relat. Fields (MCRF)  16 (2026),  132-156.

501. (with B. Vexler and A. Zaslavski)  Special Issue on  Control, Optimization and PDE (preface), Pure and Applied Functional Analysis 5 (2022), No. 7.

500. (with O. Nguyen) Subdifferential calculus for ordered multifunctions with applications to set-valued optimization, Journal of Applied and Numerical Optimization  5 (2023), 27-53; https://doi.org/10.23952/jano.5.2023.1.03

499. (with P. D. Khanh and D.  B. Tran) Inexact reduced gradient methods in smooth nonconvex optimization,  submitted (2022); arXiv:2204.01806.

498. (with N. M. Nam) An Easy Path to  Convex Analysis, updated version published by Springer,  Synthesis Lectures Series on Mathematics and Statistics, 2022.

497. (with A. V. Arutyunov and S. E. Zhukovskiy) Implicit functions theorems for continuous mappings and their applications, Math. Notes  113 (2023), 793-806 (Russian), 749–759 (English); DOI: 10.1134/S0001434623050164

496. (with Q. Ansari and M. Pappalardo), Optimization, Variational Analysis and Applications, Preface to the special issue of J. Optim. Theory Appl.  dedicated to F. Giannessi, 193 (2022), 1-4.

495. Generalized Newton methods via variational analysis, Proc. of the  5th Seminar on Nonlinear Analysis and Optimization, Tabriz, Iran, 2022.

494. (with A. V. Arutyunov and S. E. Zhukovskiy) Coincidence points of parameterized generalized equations with applications to optimal value functions, J. Optim. Theory Appl.  196 (2023), 177–198.

493. (with P. D. Khanh, V. T. Phat and D. B. Tran) Generalized Newton algorithms in nonsmooth optimization via second-order subdifferentials,  J.  Global Optim. 86 (2023), 93–122.

492.  (with D. V. Cuong, N. M. Nam and G. Sandine) Revisiting Rockafellar’s theorem on relative interiors with applications to convex generalized differentiation, J. Convex Anal. 30 (2023), No. 2; arXiv:2201.10689

491. (with P. Perez-Aros) Sensitivity analysis of stochastic constraint and variational systems via generalized differentiation, Set-Valued Var. Anal.  31 , 4 (2023), No. 1; DOI: 10.1007/s11228-022-00657-w

490. (with R. Henrion and A. Jourani) Controlled polyhedral sweeping processes: existence, stability, and optimality conditions, J. Diff. Eqs. 366 (2023), 408–443.