Wei Chang

Self-weighted learning framework for adaptive locality discriminant analysis

F. Nie, Rong Wang, Z. Wang, 2022, Pattern Recognit..

Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank

Xuelong Li, F. Nie, Rong Wang, 2021, IEEE Transactions on Cybernetics.

Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation

Rong Wang, Xuelong Li, Feiping Nie, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-view spectral clustering via sparse graph learning

Feiping Nie, Wei Chang, Zhanxuan Hu, 2020, Neurocomputing.

Adaptive-order proximity learning for graph-based clustering

F. Nie, Rong Wang, Wei Chang, 2022, Pattern Recognit..

Robust Subspace Clustering With Low-Rank Structure Constraint

Feiping Nie, Wei Chang, Zhanxuan Hu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Calibrated multi-task subspace learning via binary group structure constraint

F. Nie, Rong Wang, Wei Chang, 2023, Information Sciences.

New Tight Relaxations of Rank Minimization for Multi-Task Learning

Feiping Nie, Xuelong Li, Rong Wang, 2021, CIKM.