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Papers

  • Xu, J., He, B., Peng, Z., & Zhang, X. (2026). An improved proximal alternating linearized minimization algorithm and its inertial Bregman extension for structured nonconvex nonsmooth optimization problems on Riemannian manifold. Journal of Computational and Applied Mathematics, 473, 116886.

  • He, B., Chen, L., Dai, Y. H., & Peng, Z*. (2025). A Nonconvex Nonsmooth PADM for the VLSI Placement Problem. Communications on Applied Mathematics and Computation, 1-17.

  • Hu, Y., Zhang, X., Deng, K., & Peng, Z. (2025). Simulated annealing-based nonmonotone conjugate gradient method for unconstrained optimization with applications. Optimization and Engineering, 1-42.

  • Yan, C., Chen, S., Xu, J., Wang, X., & Peng, Z*. (2025). Hybrid Reinforcement Learning in parameterized action space via fluctuates constraint. Engineering Applications of Artificial Intelligence, 162, 112499.

  • Zhou J, Deng K, Wang H, & Peng, Z. (2025). Inexact Riemannian Gradient Descent Method for Nonconvex Optimization with Strong Convergence. Journal of Scientific Computing, 103(3): 96. DOI:10.1007/s10915-025-02913-1.

  • Ni, J., Dai, Y. & Peng, Z. (2025). An alternating algorithm for structure preserving CP-decompositions of partially symmetric tensors. Comput Optim Appl, 1-33. DOI:10.1007/s10589-025-00705-9.

  • Zhou, J., Nie, J., Peng, Z, & Zhou, G. (2025). The rank-1 completion problem for cubic tensors. SIAM Journal on Matrix Analysis and Applications, 46(1), 151-171. DOI:10.1137/24M1653793.

  • Zhang, X., Li, C., Zhang, L., Hu, Y., & Peng, Z*. (2024). Convergence-accelerated fixedtime dynamical methods for absolute value equations. Journal of Optimization Theory and Applications, 203(1), 600-628. DOI: 10.1007/s10957-024-02525-z.

  • Wang, X., Deng, K., Peng, Z, & Yan, C. (2024). New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications. Journal of Computational and Applied Mathematics, 451, 116024. DOI: 10.1016/j.cam.2024.116024.

  • Bai, J., Jia, L., & Peng, Z*. (2024). A new insight on augmented Lagrangian method with applications in machine learning. Journal of Scientific Computing, 99(2), 53. DOI: 10.1007/s10915-024-02518-0.

  • Deng, K.-K., & Peng, Z*. (2024). Trace Lasso regularization for adaptive sparse canonical correlation analysis via manifold optimization approach. Journal of the Operations Research Society of China, 12(3), 573-599. DOI: 10.1007/s40305-022-00449-x.

  • Peng, Z, Wu, W., Hu, J., & Deng, K. (2023). Riemannian smoothing gradient type algorithms for nonsmooth optimization problem on compact Riemannian submanifold embedded in Euclidean space. Applied Mathematics and Optimization, 88(3), 85. DOI: 10.1007/s00245-023-10061-x.

  • Peng, Z, Zhang, X., & Yao, Z. (2023). A modified multivariate spectral gradient projection method for nonlinear complementarity problems. Computational and Applied Mathematics, 42(8), 323. DOI: 10.1007/s40314-023-02465-w.

  • Song, X., Zhang, X., Zeng, Y., & Peng, Z. (2023). Inexact fixed-point iteration method for nonlinear complementarity problems. Journal of Algorithms and Computational Technology, 17. DOI: 10.1177/17483026231191264.

  • Yao, Z., Xuan, H., Xu, J., Sun, Y., Wei, L., Jiang, R., Shi, Q., & Peng, Z. (2023). Grid construction of 5G beam-space via matrix completion and principal component analysis. Proceedings - IEEE Global Communications Conference, GLOBECOM, 6297-6302. DOI: 10.1109/GLOBECOM54140.9.2023.

  • Deng, K., & Peng, Z*. (2023). A manifold inexact augmented Lagrangian method for nonsmooth optimization on Riemannian submanifolds in Euclidean space. IMA Journal of Numerical Analysis, 43(3), 1653-1684. DOI: 10.1093imanumdrac018.

  • Chen, J., Huang, Z., Zhu, Z., Peng, Z, Zhu, W., & Chang, Y.-W. (2022). Novel proximal group ADMM for placement considering fogging and proximity effects. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(12), 5541-5553. DOI: 10.1109/TCAD.2022.3155066.

  • Zhu, H., Liu, S., Xu, W., Yao, Z., & Peng, Z. (2021). Locating the source in wireless sensor networks with unknown start transmission time. 2021 International Conference on Localization and GNSS, ICL-GNSS 2021 - Proceedings, 9452279. DOI: 10.1109/ICLGNSS51451.2021.9452279.

  • Zhu, H., Liu, S., Yao, Z., Okonkwo, M. C., & Peng, Z. (2021). A novel method for asynchronous source localisation based on time of arrival measurements. International Journal of Distributed Sensor Networks, 17(10). DOI: 10.1177/15501477211053706.

  • Zhu, W., Huang, Z., Chen, J., & Peng, Z. (2021). Iteratively weighted thresholding homotopy method for the sparse solution of underdetermined linear equations. Science China Mathematics, 64(3), 639-664. DOI: 10.1007/s11425-018-9467-7.

  • Li, X., Dong, W.-L., & Peng, Z*. (2021). A new nonmonotone trust region Barzilai-Borwein method for unconstrained optimization problems. Acta Mathematicae Applicatae Sinica, 37(1), 166-175. DOI: 10.1007/s10255-021-0997-9.

  • Chen, J., Chen, Z., Su, K., Peng, Z, & Ling, N. (2020). Video compressed sensing reconstruction based on structural group sparsity and successive approximation estimation model. Journal of Visual Communication and Image Representation, 66, 102734. DOI: 10.1016/j.jvcir.2019.102734.

  • Chen, Y., Yao, Z., & Peng, Z. (2020). A novel method for asynchronous time-of-arrival-based source localization: Algorithms, performance and complexity. Sensors (Switzerland), 20(12), 3466. DOI: 10.3390/s20123466.

  • Zhang, X., & Peng, Z*. (2020). A modulus-based nonmonotone line search method for nonlinear complementarity problems. Applied Mathematics and Computation, 387, 125175. DOI: 10.1016/j.amc.2020.125175.

  • Deng, K., Peng, Z*, & Zhu, W. (2020). A discriminative projection and representation-based classification framework for face recognition. SIAM Journal on Imaging Sciences, 13(3), 1446-1466. DOI: 10.1137/19M1253873.

  • Jiang, B., Peng, Z*, & Deng, K. (2020). Two new customized proximal point algorithms without relaxation for linearly constrained convex optimization. Bulletin of the Iranian Mathematical Society, 46(3), 865-892. DOI: 10.1007/s41980-019-00298-0.

  • Dong, W.-L., Li, X., & Peng, Z*. (2019). A simulated annealing-based Barzilai-Borwein gradient method for unconstrained optimization problems. Asia-Pacific Journal of Operational Research, 36(4), 1950017. DOI: 10.1142/S0217595919500179.

  • Deng, K., Peng, Z*, & Chen, J. (2019). Sparse probabilistic Boolean network problems: A partial proximal-type operator splitting method. Journal of Industrial and Management Optimization, 15(4), 1881-1896. DOI: 10.3934/jimo.2018127.

  • Wang, Z., Cai, L., & Peng, Z*. (2018). A family of global convergent inexact secant methods for nonconvex constrained optimization. Journal of Algorithms and Computational Technology, 12(2), 165-176. DOI: 10.1177/1748301818762497.

  • Zhu, Z., Chen, J., Peng, Z, Zhu, W., & Chang, Y.-W. (2018). Generalized augmented Lagrangian and its applications to VLSI global placement. Proceedings - Design Automation Conference, Part F137710, a149. DOI: 10.1145/3195970.3196057.

  • Chen, J., Yang, L., Peng, Z, Zhu, W., & Chang, Y.-W. (2018). Novel proximal group ADMM for placement considering fogging and proximity effects. IEEEACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, a3. DOI: 10.11453240765.3240832.

  • Yang, J., Dai, Y.-Q., Peng, Z, Zhuang, J.-P., & Zhu, W.-X. (2017). A homotopy alternating direction method of multipliers for linearly constrained separable convex optimization. Journal of the Operations Research Society of China, 5(2), 271-290. DOI: 10.1007/s40305-017-0170-6.

  • Deng, K., Peng, Z*, & Chen, J. (2017). Sparse probabilistic Boolean network problems: A partial proximal-type operator splitting method. Journal of Industrial and Management Optimization, 13(5), 1881-1896. DOI: 10.3934/JIMO.2018127.

  • Peng, Z, Wu, D., & Zhu, W. (2016). The robust constant and its applications in random global search for unconstrained global optimization. Journal of Global Optimization, 64(3),469-482. DOI: 10.1007/s10898-014-0256-1.

  • Zeng, Y.-H., Peng, Z, & Yang, Y.-F. (2016). A hybrid splitting method for smoothing Tikhonov regularization problem. Journal of Inequalities and Applications, 2016(1), 68. DOI:10.1186/s13660-016-0981-8.

  • Chen, J., Peng, Z, & Zhu, W. (2016). A VLSI global placement solver based on proximal alternating direction method. Proceedings - 2015 IEEE 11th International Conference on ASIC, ASICON 2015, 7516960. DOI: 10.1109/ASICON.2015.7516960.

  • Peng, Z, Chen, J., & Zhu, W. (2015). A proximal alternating direction method of multipliers for a minimization problem with nonconvex constraints. Journal of Global Optimization, 62(4), 711-728. DOI: 10.1007/s10898-015-0287-2.

  • Zhu, W., Chen, J., Peng, Z, & Fan, G. (2015). Nonsmooth optimization method for VLSI global placement. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 34(4), 642-655. DOI: 10.1109/TCAD.2015.2394484.

  • Peng, Z, Wu, D., & Zhu, W. (2015). The robust constant and its applications in global optimization. Springer Proceedings in Mathematics and Statistics, 95, 459-470. DOI: 10.1007/978-3-319-08377-3 45.

  • Zeng, Y.-H., Yang, Y.-F., & Peng, Z*. (2014). A line-search-based partial proximal alternating directions method for separable convex optimization. Journal of Applied Mathematics, 2014, 540450. DOI: 10.11552014540450.

  • Peng, Z, & Zhu, W. (2014). A partial inexact alternating direction method for structured variational inequalities. Optimization, 63(7), 1043-1055. DOI: 10.1080/02331934.2012.

  • Li, X.-M., Peng, Z, & Zhu, W. (2014). A new alternating direction method of multipliers for sparse probabilistic boolean networks. 2014 10th International Conference on Natural Computation, ICNC 2014, 6975938, 790-796. DOI: 10.1109/ICNC.2014.6975938.

  • Peng, Z, & Zhu, W. (2013). An alternating direction method for Nash equilibrium of two-person games with alternating offers. Journal of Optimization Theory and Applications, 157(2), 533-551. DOI: 10.1007/s10957-012-0165-8.

  • Peng, Z, Wu, D., & Zheng, Q. (2013). A level-value estimation method and stochastic implementation for global optimization. Journal of Optimization Theory and Applications, 156(2), 493-523. DOI: 10.1007/s10957-012-0151-1.

  • Chen, J., Zhu, W., & Peng, Z. (2012). A heuristic algorithm for the strip packing problem. Journal of Heuristics, 18(4), 677-697. DOI: 10.1007/s10732-012-9203-9.

  • Ding, W., & Peng, Z*. (2012). A modified extra-gradient method for quadratic optimization. Proceedings of the 2012 2nd International Conference on Business Computing and Global Informatization, BCGIN 2012, 6382576, 497-499. DOI: 10.1109/BCGIN.2012.135.

  • He, B., Peng, Z, & Wang, X. (2011). Proximal alternating direction-based contraction methods for separable linearly constrained convex optimization. Frontiers of Mathematics in China, 6(1), 79-114. DOI: 10.1007/s11464-010-0092-7.

  • Goh, B. S., Peng, Z, Lee, C. S., Yang, J., & Kong, M. (2011). Approximate greatest descent method and quasi-newton matrices in optimization. Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms, 18(1), 17-28.

  • Peng, Z*, & Wu, D. (2010). An inexact parallel splitting augmented Lagrangian method for large system of linear equations. Applied Mathematics and Computation, 216(5), 1624-1636. DOI: 10.1016/j.amc.2010.03.018.

  • Peng, Z*, Wu, D., & Zhang, H. (2010). A modified random implementation of the level-value estimation method for global optimization. Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms, 17(4), 543-552.

  • Peng, Z*, & Wu, D. (2010). A partial parallel splitting augmented Lagrangian method for solving constrained matrix optimization problems. Computers and Mathematics with Applications, 60(6), 1515-1524. DOI: 10.1016/j.camwa.2010.06.035.

  • Peng, Z*, & Wu, D. (2010). An inexact proximal alternating directions method for structured variational inequalities. Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010, 1977-1984.

  • Peng, Z*, Shen Y.-J., Wu D.-H. A modified integral global optimization method and its asymptotic convergence. Acta Mathematicae Applicatae Sinic, 25(2):283–290, 2009.

  • Peng, Z*, Wu D.-H. Stochastic level-value approximation for quadratic integer convex programming. Applied Mathematics and Mechanics (English Edition), 29(6):801–809, 2008