Yue Zhang

According to our database, Yue Zhang authored at least 22 papers between 2017 and 2025.

Collaborative distances:

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

2025

Learning Uniform Latent Representation via Alternating Adversarial Network for Multi-View Clustering.

Yue Zhang, Weitian Huang, Xiaoxue Zhang, Sirui Yang, Fa Zhang, Xin Gao, Hongmin Cai

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Uniform Tensor Clustering by Jointly Exploring Sample Affinities of Various Orders.

Hongmin Cai, Fei Qi, Junyu Li, Yu Hu, Bin Hu, Yue Zhang, Yiu-Ming Cheung

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Tensorlized Multi-Kernel Clustering via Consensus Tensor Decomposition.

Fei Qi, Junyu Li, Yue Zhang, Weitian Huang, Bin Hu, Hongmin Cai

IEEE Trans. Emerg. Top. Comput. Intell., February, 2025

Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal Retrieval.

Bin Zhang, Yue Zhang, Junyu Li, Jiazhou Chen, Tatsuya Akutsu, Yiu-Ming Cheung, Hongmin Cai

IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

2024

Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning.

Hongmin Cai, Weitian Huang, Sirui Yang, Siqi Ding, Yue Zhang, Bin Hu, Fa Zhang, Yiu-Ming Cheung

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Collaborative Embedding Learning via Tensor Integration for Multi-View Clustering.

Yue Zhang, Xin Sun, Hongmin Cai, Haiyan Wang, Jiazhou Chen, Endai Guo, Fei Qi, Junyu Li

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Weakly-supervised instance co-segmentation via tensor-based salient co-peak search.

Wuxiu Quan, Yu Hu, Tingting Dan, Junyu Li, Yue Zhang, Hongmin Cai

Frontiers Comput. Sci., April, 2024

Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization.

Yue Zhang, Sirui Yang, Weitian Huang, Chang-Dong Wang, Hongmin Cai

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Diffusion Probabilistic Learning With Gate-Fusion Transformer and Edge-Frequency Attention for Retinal Vessel Segmentation.

Yang Li, Lingfu Xu, Yizhu Jin, Xihe Kuang, Yue Zhang, Weigang Cui, Teng Zhang

IEEE Trans. Instrum. Meas., 2024

Accurate multi-view clustering to seek the cross-viewed yet uniform sample assignment via tensor feature matching.

Yue Zhang, Wuxiu Quan, Tatsuya Akutsu, Li Liu, Hongmin Cai, Bin Zhang

Inf. Sci., 2024

MGOD: Multi-Granular Outlier Detection with Clustlier Analysis.

Qingsheng Chen, Mingjie Zhao, Yuzhu Ji, Xiaopeng Luo, Yiqun Zhang, Yue Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition.

Mingyi Sun, Weigang Cui, Yue Zhang, Shuyue Yu, Xiaofeng Liao, Bin Hu, Yang Li

IEEE Trans. Ind. Informatics, December, 2023

Multiview Deep Graph Infomax to Achieve Unsupervised Graph Embedding.

Zhichao Zhou, Yu Hu, Yue Zhang, Jiazhou Chen, Hongmin Cai

IEEE Trans. Cybern., October, 2023

Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation.

Yang Li, Yue Zhang, Jingyu Liu, Kang Wang, Kai Zhang, Gen-Sheng Zhang, Xiaofeng Liao, Guang Yang

IEEE Trans. Cybern., September, 2023

A survey of drug-target interaction and affinity prediction methods via graph neural networks.

Yue Zhang, Yuqing Hu, Na Han, Aqing Yang, Xiaoyong Liu, Hongmin Cai

Comput. Biol. Medicine, September, 2023

Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis.

Lang Zhao, Yiqun Zhang, Xiaopeng Luo, Yue Zhang, Yiu-Ming Cheung, Kangshun Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation.

Yang Li, Yue Zhang, Wei-Gang Cui, Baiying Lei, Xihe Kuang, Teng Zhang

IEEE Trans. Medical Imaging, 2022

Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning.

Yue Zhang, Qinjian Huang, Bin Zhang, Shengfeng He, Tingting Dan, Hong Peng, Hongmin Cai

IEEE Trans. Cybern., 2022

2021

Survey and comparative assessments of computational multi-omics integrative methods with multiple regulatory networks identifying distinct tumor compositions across pan-cancer data sets.

Zhuohui Wei, Yue Zhang, Wanlin Weng, Jiazhou Chen, Hongmin Cai

Briefings Bioinform., 2021

Methods of privacy-preserving genomic sequencing data alignments.

Dandan Lu, Yue Zhang, Ling Zhang, Haiyan Wang, Wanlin Weng, Li Li, Hongmin Cai

Briefings Bioinform., 2021

2020

Deep subspace clustering to achieve jointly latent feature extraction and discriminative learning.

Qinjian Huang, Yue Zhang, Hong Peng, Tingting Dan, Wanlin Weng, Hongmin Cai

Neurocomputing, 2020

2017

Detection Copy Number Variants from NGS with Sparse and Smooth Constraints.

Yue Zhang, Yiu-ming Cheung, Bo Xu, Weifeng Su

IEEE ACM Trans. Comput. Biol. Bioinform., 2017