Kernel-target Alignment Based Multiple Kernel One-class Support Vector Machine. - Qiang He 003; Qingshuo Zhang; Hengyou Wang (SMC, 2019)

Local Similarity-Based Fuzzy Multiple Kernel One-Class Support Vector Machine. - Qiang He 003; Qingshuo Zhang; Hengyou Wang; Changlun Zhang (Complex., 2020)

An Improved ${k}$-Means Algorithm with Spatial Constraints for Image Segmentation. - Meng Hu; Eric C. C. Tsang; Yanting Guo; Qingshuo Zhang (ICMLC, 2021)

Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification. - Qingshuo Zhang; Eric C. C. Tsang; Meng Hu; Qiang He 003; Degang Chen 002 (ICMLC, 2021)

A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint. - Meng Hu; Eric C. C. Tsang; Yanting Guo; Qingshuo Zhang; Degang Chen 002; Weihua Xu 003 (Int. J. Mach. Learn. Cybern., 2022)

Attribute reduction based on neighborhood constrained fuzzy rough sets. - Meng Hu; Yanting Guo; Degang Chen 002; Eric C. C. Tsang; Qingshuo Zhang (Knowl. Based Syst., 2023)

Distance metric learning with local multiple kernel embedding. - Qingshuo Zhang; Eric C. C. Tsang; Qiang He 003; Meng Hu (Int. J. Mach. Learn. Cybern., 2023)

Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification. - Qingshuo Zhang; Eric C. C. Tsang; Qiang He 003; Yanting Guo (Knowl. Based Syst., 2023)