Optimality conditions for locally Lipschitz optimization with l0-regularization. - Hui Zhang 121; Lili Pan 003; Naihua Xiu (Optim. Lett., 2021)

0/1 Deep Neural Networks via Block Coordinate Descent. - Hui Zhang 121; Shenglong Zhou 001; Geoffrey Ye Li; Naihua Xiu (CoRR, 2022)

Optimality Analysis and Block Sparse Algorithm for Complex Compressed Sensing. - Hui Zhang 121; Xin Liu; Naihua Xiu (CoRR, 2022)

Recursion Newton-Like Algorithm for l2,0-ReLU Deep Neural Networks. - Hui Zhang 121; Zhengpeng Yuan; Naihua Xiu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Optimality Conditions and Gradient Descent Newton Pursuit for 0/1-Loss and Sparsity Constrained Optimization. - Dongrui Wang; Hui Zhang 121; Penghe Zhang; Naihua Xiu (Asia Pac. J. Oper. Res., 2024)

A step function based recursion method for 0/1 deep neural networks. - Hui Zhang 121; Shenglong Zhou 001; Geoffrey Ye Li; Naihua Xiu; Yiju Wang (Appl. Math. Comput., 2025)

Step Function based Light Newton-Like Method for AUC. - Hui Zhang 121; Zijian Yu; Naihua Xiu; Yiju Wang (J. Sci. Comput., 2025)