Alternating direction and Taylor expansion minimization algorithms for unconstrained nuclear norm optimization. - Jianxi Zhao; Qian Feng; Lina Zhao 002 (Numer. Algorithms, 2019)

Low-rank and sparse matrices fitting algorithm for low-rank representation. - Jianxi Zhao; Lina Zhao 002 (Comput. Math. Appl., 2020)

A novel low-rank matrix approximation algorithm for face denoising and background/foreground separation. - Jianxi Zhao (Comput. Appl. Math., 2022)

Multi-view clustering with orthogonal mapping and binary graph. - Jianxi Zhao; Fangyuan Kang; Qingrong Zou; Xiaonan Wang (Expert Syst. Appl., 2023)

On improvability of hash clustering data from different sources by bipartite graph. - Jianxi Zhao; Xiaonan Wang; Qingrong Zou; Fangyuan Kang; Jingfu Peng; Fan Wang (Pattern Anal. Appl., 2023)

Binary multi-view sparse subspace clustering. - Jianxi Zhao; Yang Li (Neural Comput. Appl., 2023)

A multiple kinds of information extraction method for multi-view low-rank subspace clustering. - Jianxi Zhao; Xiaonan Wang; Qingrong Zou; Fangyuan Kang; Fan Wang; Jingfu Peng (Int. J. Mach. Learn. Cybern., 2024)

A time-varying coefficient rate model with intermittently observed covariates for recurrent event data. - Fangyuan Kang; Jianxi Zhao (Comput. Stat., 2025)