Robust graph representation clustering based on adaptive data correction. - Guo, Li; Zhang, Xiaoqian; Zhang, Rui; Wang, Qian; Xue, Xuqian; Liu, Zhigui (Appl. Intell., 2023)

Joint learning affinity matrix and representation matrix for robust low-rank multi-kernel clustering. - Luo, Liang; Liang, Qin; Zhang, Xiaoqian; Xue, Xuqian; Liu, Zhigui (Appl. Intell., 2022)

Joint enhanced low-rank constraint and kernel rank-order distance metric for low level vision processing. - Guo, Li; Zhang, Xiaoqian; Wang, Qian; Xue, Xuqian; Liu, Zhigui; Mu, Yongfeng (Expert Syst. Appl., 2022)

Confidence level auto-weighting robust multi-view subspace clustering. - Zhang, Xiaoqian; Wang, Jing; Xue, Xuqian; Sun, Huaijiang; Zhang, Jiangmei (Neurocomputing, 2022)

Robust subspace clustering based on automatic weighted multiple kernel learning. - Guo, Li; Zhang, Xiaoqian; Liu, Zhigui; Xue, Xuqian; Wang, Qian; Zheng, Shijian (Inf. Sci., 2021)

Robust multiple kernel subspace clustering with block diagonal representation and low-rank consensus kernel. - Zhang, Xiaoqian; Xue, Xuqian; Sun, Huaijiang; Liu, Zhigui; Guo, Li; Guo, Xin (Knowl. Based Syst., 2021)

Image Segmentation Based on Non-convex Low Rank Multiple Kernel Clustering. - Xue, Xuqian; Wang, Xiao; Zhang, Xiaoqian; Wang, Jing; Liu, Zhigui (2021)

Robust Multi-View Subspace Clustering Via Weighted Multi-Kernel Learning and Co-Regularization. - Zheng, Yilu; Zhang, Xiaoqian; Xu, Yinlong; Qin, Mingwei; Ren, Zhenwen; Xue, Xuqian (IEEE Access, 2020)

Robust subspace clustering based on non-convex low-rank approximation and adaptive kernel. - Xue, Xuqian; Zhang, Xiaoqian; Feng, Xinghua; Sun, Huaijiang; Chen, Wei; Liu, Zhigui (Inf. Sci., 2020)