Nonconvex and Nonsmooth Optimization with Generalized Orthogonality Constraints: An Approximate Augmented Lagrangian Method. - Hong Zhu 012; Xiaowei Zhang 002; Delin Chu; Li-Zhi Liao (J. Sci. Comput., 2017)

Multiple graphs clustering by gradient flow method. - Hong Zhu 012; Chuan Chen 001; Li-Zhi Liao; Michael K. Ng 001 (J. Frankl. Inst., 2018)

Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality. - Hong Zhu 012; Li-Zhi Liao; Michael K. Ng 001 (Neural Comput., 2018)

The Convergent Generalized Central Paths for Linearly Constrained Convex Programming. - Xun Qian; Li-Zhi Liao; Jie Sun 001; Hong Zhu 012 (SIAM J. Optim., 2018)

Auto-weighted multi-view constrained spectral clustering. - Chuan Chen 001; Hui Qian 006; Wuhui Chen; Zibin Zheng; Hong Zhu 012 (Neurocomputing, 2019)

Structured Dictionary Learning for Image Denoising Under Mixed Gaussian and Impulse Noise. - Hong Zhu 012; Michael K. Ng 001 (IEEE Trans. Image Process., 2020)

Multiple graph semi-supervised clustering with automatic calculation of graph associations. - Ye Liu 014; Michael K. Ng 001; Hong Zhu 012 (Neurocomputing, 2021)

An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation. - Hong Zhu 012; Michael K. Ng 001; Guang-Jing Song (J. Sci. Comput., 2021)

Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching. - Hanrui Wu; Hong Zhu 012; Yuguang Yan; Jiaju Wu 001; Yifan Zhang 004; Michael K. Ng 001 (IEEE Trans. Image Process., 2021)

Correction to: An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation. - Hong Zhu 012; Michael K. Ng 001; Guang-Jing Song (J. Sci. Comput., 2022)

An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors. - Hong Zhu 012; Michael K. Ng 001 (SIAM J. Imaging Sci., 2024)

A hybrid inexact regularized Newton and negative curvature method. - Hong Zhu 012; Yunhai Xiao (Comput. Optim. Appl., 2024)

Augmented Lagrangian method for tensor low-rank and sparsity models in multi-dimensional image recovery. - Hong Zhu 012; Xiaoxia Liu; Lin Huang; Zhaosong Lu; Jian Lu 002; Michael K. Ng 001 (Adv. Comput. Math., 2024)

Efficient method for symmetric nonnegative matrix factorization with an approximate augmented Lagrangian scheme. - Hong Zhu 012; Chenchen Niu; Yongjin Liang (J. Comput. Appl. Math., 2025)

An Inexact Proximal Newton Method for Nonconvex Composite Minimization. - Hong Zhu 012 (J. Sci. Comput., 2025)

The Subspace Constrained Least Squares Solution of Unit Dual Quaternion Vector Equations and Its Application to Hand-Eye Calibration. - Hong Zhu 012; Michael K. Ng 001 (J. Sci. Comput., 2025)