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

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

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

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

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

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

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

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

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

PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering. - Xuqian Xue; Yiming Lei; Qi Cai; Hongming Shan; Junping Zhang (CoRR, 2025)