A Max-Min-Max Algorithm for Large-Scale Robust Optimization Kai Tu, Zhi Chen, Man-Chung Yue. Submitted, 2024.
An improved random projection type algorithm for the multiple-sets split feasibility problem . Wen-Jing Chao, Fu-quan Xia, Kai Tu and Jian Lu. Journal of Computational and Applied Mathematics, Volume 463, 1 August 2025, 116487.
Variance Reduced Random Relaxed Projection Method for Constrained Finite-sum Minimization Problems. Zhichun Yang, Fu-quan Xia, Kai Tu and Man-Chung Yue. IEEE Transactions on Signal Processing, 2024, 72:2188-2203.
Fixed-Point Convergence of Multi-Block PnP ADMM and Its Application to Hyperspectral Image Restoration. Weijie Liang, Zhihui Tu, Jian Lu, Kai Tu, Michael K. Ng, Chen Xu. IEEE Transactions on Computational Imaging, 2024, 10: 1571-1587.
Convergence analysis of the DFP algorithm for unconstrained optimization problems on Riemannian manifolds. Xiaobo Li, Kai Tu and Jian Lu. Optimization Letters, 2024, https:doi.org10.1007s11590-024-02103-2
The generalized conditional gradient method for composite multiobjective optimization problems on Riemannian manifolds. Xiaobo Li, Xiaochun Ge and Kai Tu, Journal of Nonlinear and Variational Analysis, 2023, 7(5):839-857.
Nonlocal Low Rank Regularization Method for Fractal Image Coding under Salt-and-Pepper Noise. Huan Pan, Zhengyu Liang, Jian Lu, Kai Tu and Ning Xie. Fractals, 2023, 31(7), 16 pages.
Variance reduced moving balls approximation method for smooth constrained minimization problems Zhichun Yang, Fu-quan Xỉa and Kai Tu. Optimization Letters, 2023, https:doi.org10.1007s11590-023-02049-x
Inertial-type incremental constraint projection method for solving variational inequalities without Lipschitz continuity. Wanyu Wang, Fu-quan Xia and Kai Tu. Numerical Algorithms, 2022, 89: 1769–1798.
A hybrid Bregman alternating direction method of multipliers for the linearly constrained difference-of-convex problems. Kai Tu, Haibin Zhang, Huan Gao and Junkai Feng. Journal of Global Optimization, 2020, 76: 665-693.
A new alternating projection-based prediction–correction method for structured variational inequalities. Kai Tu, Haibin Zhang and Fu-quan Xia. Optimization Methods and Software, 2020, 76: 665-693.
Stochastic proximal difference-of-convex algorithm with SPIDER for a class of nonconvex nonsmooth regularized problems. Kai Tu, Haibin Zhang and Huan Gao. Journal of Nonlinear and Convex Analysis, 2020, 1191-1208.
Optimality analysis on partial L1-minimization recovery. Huan Gao, Haibin Zhang, Zhibao Li and Kai Tu. Journal of Global Optimization, 2019, 34: 707-730.
An iterative algorithm for solving generalized variational inequality problems and fixed point problems. Kai Tu, Fu-quan Xia and Jen-Chih Yao. Applicable Analysis, 2016, 95: 209-225.
A projection-type algorithm for solving generalized mixed variational inequalities. Kai Tu and Fu-quan Xia. Acta Mathematica Scientia, 2016, 36: 1919-1630.