Han Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Unsupervised Learning

Principle Component Analysis

Subspace Learning

Maximum Margin Criterion

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li
Side-constrained graph fusion for semi-supervised multi-view clustering. Neurocomputing 570 (2024)
Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu
Geometric-inspired graph-based Incomplete Multi-view Clustering. Pattern Recognit. 147 (2024)
Xin Qi, Han Zhang, Feiping Nie
Discriminative Semi-Supervised Feature Selection Via a Class-Credible Pseudo-Label Learning Framework. ICASSP (2024)
Han Zhang, Yiding Li, Xuelong Li
Constrained Bipartite Graph Learning for Imbalanced Multi-Modal Retrieval. IEEE Trans. Multim. 26 (2024)
Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li
Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction. ICASSP (2023)
Han Zhang, Feiping Nie, Xuelong Li
Large-Scale Clustering With Structured Optimal Bipartite Graph. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li
feature selection. Neurocomputing 501 (2022)
Xuelong Li, Han Zhang, Rong Wang, Feiping Nie
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Han Zhang, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection. Inf. Fusion 70 (2021)
Feiping Nie, Han Zhang, Rong Wang, Xuelong Li
Semi-supervised Clustering via Pairwise Constrained Optimal Graph. IJCAI (2020)
Danyang Wu, Han Zhang, Feiping Nie, Rong Wang, Chao Yang, Xiaoxue Jia, Xuelong Li
Double-Attentive Principle Component Analysis. IEEE Signal Process. Lett. 27 (2020)
Xuelong Li, Han Zhang, Rui Zhang, Feiping Nie
Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning. IEEE Trans. Image Process. 29 (2020)
Rui Zhang, Han Zhang, Xuelong Li, Feiping Nie
Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Feiping Nie, Han Zhang, Rui Zhang, Xuelong Li
Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning. IEEE Trans. Image Process. 28 (5) (2019)
Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li
An efficient framework for unsupervised feature selection. Neurocomputing 366 (2019)
Xuelong Li, Han Zhang, Rui Zhang, Yun Liu, Feiping Nie
Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Han Zhang, Feiping Nie, Rui Zhang, Xuelong Li
Auto-weighted 2-dimensional maximum margin criterion. Pattern Recognit. 83 (2018)
Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li
A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection. ICASSP (2018)