Robust mixed-norm constrained regression with application to face recognitions. - Xiaoshuang Sang; Yesong Xu; Hong Lu; Qinghua Zhao; Zakir Ali; Jianfeng Lu 003 (Neural Comput. Appl., 2020)

Learnable low-rank latent dictionary for subspace clustering. - Yesong Xu; Shuo Chen 003; Jun Li 027; Lei Luo 001; Jian Yang 003 (Pattern Recognit., 2021)

Linearity-Aware Subspace Clustering. - Yesong Xu; Shuo Chen 003; Jun Li 027; Jianjun Qian (AAAI, 2022)

Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering. - Yesong Xu; Shuo Chen 003; Jun Li 027; Zongyan Han; Jian Yang 003 (IEEE Trans. Cybern., 2022)

Fast subspace clustering by learning projective block diagonal representation. - Yesong Xu; Shuo Chen 003; Jun Li 027; Chunyan Xu; Jian Yang 003 (Pattern Recognit., 2023)

Sparseness and Correntropy-Based Block Diagonal Representation for Robust Subspace Clustering. - Yesong Xu; Ping Hu; Jiashu Dai; Nan Yan; Jun Wang (IEEE Signal Process. Lett., 2024)

Robust and fast subspace representation learning for multi-view subspace clustering. - Tailong Yu; Yesong Xu; Nan Yan; Mengyang Li (Appl. Soft Comput., 2025)

Efficiency and Effectiveness Clustering with Adaptive Neighbors for Large-scale Data. - Ping Hu; Haijun Yan; Chenggang Lu; Yesong Xu (Expert Syst. Appl., 2025)

Asymptotics-Aware Multi-View Subspace Clustering. - Yesong Xu; Shuo Chen 003; Jun Li 027; Jian Yang 003 (IEEE Trans. Multim., 2025)

Metric Learning-Based Subspace Clustering. - Yesong Xu; Shuo Chen 003; Jun Li 027; Jian Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)