Han Zhang

Orcid: 0000-0001-7750-0028

Affiliations:
  • Northwestern Polytechnical University, OPTIMAL, Xi'an, China


According to our database1, Han Zhang authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Geometric-inspired graph-based Incomplete Multi-view Clustering.
Pattern Recognit., March, 2024

Side-constrained graph fusion for semi-supervised multi-view clustering.
Neurocomputing, February, 2024

Constrained Bipartite Graph Learning for Imbalanced Multi-Modal Retrieval.
IEEE Trans. Multim., 2024

2023
Large-Scale Clustering With Structured Optimal Bipartite Graph.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Unified dual-label semi-supervised learning with top-<i>k</i> feature selection.
Neurocomputing, 2022

2021
Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection.
Inf. Fusion, 2021

2020
Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity.
IEEE Trans. Neural Networks Learn. Syst., 2020

Discriminative and Uncorrelated Feature Selection With Constrained Spectral Analysis in Unsupervised Learning.
IEEE Trans. Image Process., 2020

Double-Attentive Principle Component Analysis.
IEEE Signal Process. Lett., 2020

Semi-supervised Clustering via Pairwise Constrained Optimal Graph.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2019

Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning.
IEEE Trans. Image Process., 2019

An efficient framework for unsupervised feature selection.
Neurocomputing, 2019

2018
Auto-weighted 2-dimensional maximum margin criterion.
Pattern Recognit., 2018

A Generalized Uncorrelated Ridge Regression with Nonnegative Labels for Unsupervised Feature Selection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018


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