Han Zhang

According to our database, Han Zhang authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Geometric-inspired graph-based Incomplete Multi-view Clustering.

Zequn Yang, Han Zhang, Yake Wei, Zheng Wang, Feiping Nie, Di Hu

Pattern Recognit., March, 2024

Side-constrained graph fusion for semi-supervised multi-view clustering.

Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li

Neurocomputing, February, 2024

Constrained Bipartite Graph Learning for Imbalanced Multi-Modal Retrieval.

Han Zhang, Yiding Li, Xuelong Li

IEEE Trans. Multim., 2024

Hierarchical Multimodality Graph Reasoning for Remote Sensing Visual Question Answering.

Han Zhang, Keming Wang, Laixian Zhang, Bingshu Wang, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 2024

Discriminative Semi-Supervised Feature Selection Via a Class-Credible Pseudo-Label Learning Framework.

Xin Qi, Han Zhang, Feiping Nie

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Large-Scale Clustering With Structured Optimal Bipartite Graph.

Han Zhang, Feiping Nie, Xuelong Li

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction.

Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method.

Xuelong Li, Han Zhang, Rong Wang, Feiping Nie

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Unified dual-label semi-supervised learning with top-<i>k</i> feature selection.

Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li

Neurocomputing, 2022

2021

Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection.

Han Zhang, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li

Inf. Fusion, 2021

2020

Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity.

Rui Zhang, Han Zhang, Xuelong Li, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., 2020

Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning.

Xuelong Li, Han Zhang, Rui Zhang, Feiping Nie

IEEE Trans. Image Process., 2020

Double-Attentive Principle Component Analysis.

Danyang Wu, Han Zhang, Feiping Nie, Rong Wang, Chao Yang, Xiaoxue Jia, Xuelong Li

IEEE Signal Process. Lett., 2020

Semi-supervised Clustering via Pairwise Constrained Optimal Graph.

Feiping Nie, Han Zhang, Rong Wang, Xuelong Li

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection.

Xuelong Li, Han Zhang, Rui Zhang, Yun Liu, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., 2019

Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning.

Feiping Nie, Han Zhang, Rui Zhang, Xuelong Li

IEEE Trans. Image Process., 2019

An efficient framework for unsupervised feature selection.

Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li

Neurocomputing, 2019

2018

Auto-weighted 2-dimensional maximum margin criterion.

Han Zhang, Feiping Nie, Rui Zhang, Xuelong Li

Pattern Recognit., 2018

A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection.

Han Zhang, Rui Zhang, Feiping Nie, Xuelong Li

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018