Han Zhang
Orcid: 0000-0001-8498-3451Affiliations:
- Nankai University, College of Artificial Intelligence, Tianjin, China
- Nankai University, College of Information Technical Science, Tianjin, China (PhD 2005)
According to our database1,
Han Zhang
authored at least 37 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
BERMAD: batch effect removal for single-cell RNA-seq data using a multi-layer adaptation autoencoder with dual-channel framework.
Bioinform., March, 2024
2023
Expert Syst. Appl., December, 2023
ADDNS: An asymmetric dual deep network with sharing mechanism for medical image fusion of CT and MR-T2.
Comput. Biol. Medicine, November, 2023
LTUNet: A Lightweight Transformer-Based UNet with Multi-scale Mechanism for Skin Lesion Segmentation.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023
Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Hierarchical Semantic Augmentation Graph Neural Network for Drug-Disease Association Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
IEEE Trans. Instrum. Meas., 2022
Multiple kernel learning for label relation and class imbalance in multi-label learning.
Inf. Sci., 2022
Neurocomputing, 2022
BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images.
Comput. Methods Programs Biomed., 2022
HDMC: a novel deep learning-based framework for removing batch effects in single-cell RNA-seq data.
Bioinform., 2022
MGEGFP: a multi-view graph embedding method for gene function prediction based on adaptive estimation with GCN.
Briefings Bioinform., 2022
LR-GNN: a graph neural network based on link representation for predicting molecular associations.
Briefings Bioinform., 2022
Mutual Information Estimation-Based Disentangled Representation Network for Medical Image Fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Nucleic Acids Res., 2021
Neurocomputing, 2021
Automatic arteriosclerotic retinopathy grading using four-channel with image merging.
Comput. Methods Programs Biomed., 2021
A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations.
BMC Bioinform., 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Adversarial Dual-Channel Variational Graph Autoencoder for Synthetic Lethality Prediction in Human Cancers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Nucleic Acids Res., 2020
Bioinform., 2020
Bioinform., 2020
Bayesian Multi-scale Convolutional Neural Network for Motif Occupancy Identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
BMC Bioinform., 2019
BMC Bioinform., 2019
2018
Nucleic Acids Res., 2018
dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation.
Nucleic Acids Res., 2018
Detecting hidden batch factors through data-adaptive adjustment for biological effects.
Bioinform., 2018
2017
Identify Huntington's disease associated genes based on restricted Boltzmann machine with RNA-seq data.
BMC Bioinform., 2017
2014
Incidence Coloring-Assisted Frequency Assignment in Two-Hop OFDMA-based Cellular Networks.
Wirel. Pers. Commun., 2014
2011
J. Syst. Sci. Complex., 2011