Latent multi-view self-representations for clustering via the tensor nuclear norm. - Gui-Fu Lu; Jinbiao Zhao 001 (Appl. Intell., 2022)

Clean and robust affinity matrix learning for multi-view clustering. - Jin-Biao Zhao 001; Gui-Fu Lu (Appl. Intell., 2022)

Clean affinity matrix learning with rank equality constraint for multi-view subspace clustering. - Jinbiao Zhao 001; Gui-Fu Lu (Pattern Recognit., 2023)

Multi-view clustering based on a multimetric matrix fusion method. - Liang Yao; Gui-Fu Lu; JinBiao Zhao 001; Bing Cai (Expert Syst. Appl., 2023)

Dual Cross-Stage Partial Learning for Detecting Objects in Dehazed Images. - Jinbiao Zhao 001; Zhao Zhang 001; Jiahuan Ren; Haijun Zhang 002; Zhongqiu Zhao; Meng Wang 001 (ICDM, 2024)

Multi-view clustering using a flexible and optimal multi-graph fusion method. - Yaozu Kan; Gui-Fu Lu; Liang Yao; Bing Cai; JinBiao Zhao 001 (Eng. Appl. Artif. Intell., 2024)

A kernel-free quadratic surface twin support vector machine with capped L1-norm distance metric for robust classification. - Qi Si; Zhixia Yang 001; Jinbiao Zhao 001; Rongda Chen (Appl. Soft Comput., 2025)