Wei Chang - RankMe

16 papers A 1Misc 2Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximate anchor-based similarity graph and its applications for large-scale data. Neurocomputing Wei Chang, Manguo Liu, Feiping Nie, Danyang Wu, Rong Wang
2025	J	`jnl`	Fast Semi-Supervised Learning on Large Graphs: An Improved Green-Function Method. IEEE Trans. Pattern Anal. Mach. Intell. Feiping Nie, Yitao Song, Wei Chang, Rong Wang, Xuelong Li
2024	J	`jnl`	Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method. CoRR Feiping Nie, Yitao Song, Wei Chang, Rong Wang, Xuelong Li
2024	J	`jnl`	Tensorized and Compressed Multi-View Subspace Clustering via Structured Constraint. IEEE Trans. Pattern Anal. Mach. Intell. Wei Chang, Huimin Chen, Feiping Nie, Rong Wang, Xuelong Li
2023	J	`jnl`	Calibrated multi-task subspace learning via binary group structure constraint. Inf. Sci. Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2023	J	`jnl`	Elaborate multi-task subspace learning with discrete group constraint. Pattern Recognit. Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2023	J	`jnl`	Learning an Optimal Bipartite Graph for Subspace Clustering via Constrained Laplacian Rank. IEEE Trans. Cybern. Feiping Nie, Wei Chang, Rong Wang, Xuelong Li
2023	J	`jnl`	Multitask Learning for Classification Problem via New Tight Relaxation of Rank Minimization. IEEE Trans. Neural Networks Learn. Syst. Wei Chang, Feiping Nie, Yijie Zhi, Rong Wang, Xuelong Li
2022	J	`jnl`	Adaptive-order proximity learning for graph-based clustering. Pattern Recognit. Danyang Wu, Wei Chang, Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li
2022	J	`jnl`	Robust Subspace Clustering With Low-Rank Structure Constraint. IEEE Trans. Knowl. Data Eng. Feiping Nie, Wei Chang, Zhanxuan Hu, Xuelong Li
2022	J	`jnl`	Self-weighted learning framework for adaptive locality discriminant analysis. Pattern Recognit. Wei Chang, Feiping Nie, Zheng Wang, Rong Wang, Xuelong Li
2021	Misc	`conf`	Adaptive Feature Weight Learning For Robust Clustering Problem with Sparse Constraint. ICASSP Feiping Nie, Wei Chang, Xuelong Li, Jin Xu, Gongfu Li
2021	A	`conf`	New Tight Relaxations of Rank Minimization for Multi-Task Learning. CIKM Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2021	J	`jnl`	New Tight Relaxations of Rank Minimization for Multi-Task Learning. CoRR Wei Chang, Feiping Nie, Rong Wang, Xuelong Li
2020	J	`jnl`	Multi-view spectral clustering via sparse graph learning. Neurocomputing Zhanxuan Hu, Feiping Nie, Wei Chang, Shuzheng Hao, Rong Wang, Xuelong Li
2019	Misc	`conf`	Robust Subspace Clustering by Learning an Optimal Structured Bipartite Graph via Low-rank Representation. ICASSP Wei Chang, Feiping Nie, Rong Wang, Xuelong Li