Bin Zhang
Orcid: 0000-0001-9214-1588Affiliations:
- Shandong Normal University, School of Information Science and Engineering, Jinan, China
According to our database1,
Bin Zhang
authored at least 29 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025
2024
IEEE Trans. Emerg. Top. Comput. Intell., June, 2024
Unsupervised Dual Hashing Coding (UDC) on Semantic Tagging and Sample Content for Cross-Modal Retrieval.
IEEE Trans. Multim., 2024
Accurate multi-view clustering to seek the cross-viewed yet uniform sample assignment via tensor feature matching.
Inf. Sci., 2024
Corrigendum to "DeepGA for automatically estimating fetal gestational age through ultrasound imaging" [Artif. Intell. Med. 135 (2023) 102453].
Artif. Intell. Medicine, 2024
2023
IEEE Trans. Cybern., September, 2023
DeepGA for automatically estimating fetal gestational age through ultrasound imaging.
Artif. Intell. Medicine, January, 2023
2022
Deep Multiview Clustering via Iteratively Self-Supervised Universal and Specific Space Learning.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold.
BMC Medical Informatics Decis. Mak., 2022
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance.
Medical Image Anal., 2022
Accurate Multi-view Clustering by Exploiting Within-view High-order Affinities through Tensor Self-representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Multi-View Learning a Decomposable Affinity Matrix via Tensor Self-Representation on Grassmann Manifold.
IEEE Trans. Image Process., 2021
Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning.
Inf. Sci., 2021
Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis.
Neurocomputing, 2021
Evaluation of gene-drug common module identification methods using pharmacogenomics data.
Briefings Bioinform., 2021
Multi-View Tensor Clustering Through Exploiting Both Within-View and Across-View High-Order Correlations.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Exsavi: Excavating both sample-wise and view-wise relationships to boost multi-view subspace clustering.
Neurocomputing, 2020
Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Reconstruction of 3D Retina from Multi-viewed Stereo Fundus Images via Dynamic Registration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Multim. Tools Appl., 2019
Graph steered discriminative projections based on collaborative representation for Image recognition.
Multim. Tools Appl., 2019
IEEE Access, 2019
2018
Multim. Tools Appl., 2018
Modality-Reconstructed Cross-Media Retrieval via Sparse Neural Networks Pre-Trained by Restricted Boltzmann Machines.
J. Adv. Comput. Intell. Intell. Informatics, 2018
2017
Cross-Media Semantic Matching via Sparse Neural Network Pre-trained by Deep Restricted Boltzmann Machines.
Proceedings of the Internet Multimedia Computing and Service, 2017