Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation. - Wei Chang 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (ICASSP, 2019)

Multi-view spectral clustering via sparse graph learning. - Zhanxuan Hu; Feiping Nie 001; Wei Chang 002; Shuzheng Hao; Rong Wang 001; Xuelong Li 001 (Neurocomputing, 2020)

New Tight Relaxations of Rank Minimization for Multi-Task Learning. - Wei Chang 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (CIKM, 2021)

Adaptive Feature Weight Learning For Robust Clustering Problem with Sparse Constraint. - Feiping Nie 001; Wei Chang 002; Xuelong Li 001; Jin Xu 014; Gongfu Li (ICASSP, 2021)

Self-weighted learning framework for adaptive locality discriminant analysis. - Wei Chang 002; Feiping Nie 001; Zheng Wang 037; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2022)

Adaptive-order proximity learning for graph-based clustering. - Danyang Wu; Wei Chang 002; Jitao Lu; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2022)

Robust Subspace Clustering With Low-Rank Structure Constraint. - Feiping Nie 001; Wei Chang 002; Zhanxuan Hu; Xuelong Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Calibrated multi-task subspace learning via binary group structure constraint. - Wei Chang 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Inf. Sci., 2023)

Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank. - Feiping Nie 001; Wei Chang 002; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Cybern., 2023)

Elaborate multi-task subspace learning with discrete group constraint. - Wei Chang 002; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (Pattern Recognit., 2023)

Multitask Learning for Classification Problem via New Tight Relaxation of Rank Minimization. - Wei Chang 002; Feiping Nie 001; Yijie Zhi; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Tensorized and Compressed Multi-View Subspace Clustering via Structured Constraint. - Wei Chang 002; Huimin Chen; Feiping Nie 001; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Fast Semi-Supervised Learning on Large Graphs: An Improved Green-Function Method. - Feiping Nie 001; Yitao Song; Wei Chang 002; Rong Wang 001; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)