Han Zhang

Orcid: 0000-0001-8498-3451

Affiliations:
  • 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 42 papers between 2011 and 2025.

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

Timeline

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Online presence:

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Bibliography

2025
A multi-modal and multi-stage fusion enhancement network for segmentation based on OCT and OCTA images.
Inf. Fusion, 2025

2024
A Dual-Modality Complex-Valued Fusion Method for Predicting Side Effects of Drug-Drug Interactions Based on Graph Neural Network.
IEEE J. Biomed. Health Informatics, October, 2024

BERMAD: batch effect removal for single-cell RNA-seq data using a multi-layer adaptation autoencoder with dual-channel framework.
Bioinform., March, 2024

KAGNN: Graph neural network with kernel alignment for heterogeneous graph learning.
Knowl. Based Syst., 2024

AVBAE-MODFR: A novel deep learning framework of embedding and feature selection on multi-omics data for pan-cancer classification.
Comput. Biol. Medicine, 2024

TL-CCL: Two-level causal contrastive learning for multi-label ocular disease diagnosis with fundus images.
Biomed. Signal Process. Control., 2024

2023
Semantic-guided graph neural network for heterogeneous graph embedding.
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

Graph pooling via Dual-view Multi-level Infomax.
Knowl. Based Syst., 2023

Graph representation learning via redundancy reduction.
Neurocomputing, 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
A Two-Level Dynamic Adaptive Network for Medical Image Fusion.
IEEE Trans. Instrum. Meas., 2022

Multiple kernel learning for label relation and class imbalance in multi-label learning.
Inf. Sci., 2022

Domain-aware multi-modality fusion network for generalized zero-shot learning.
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
AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses.
Nucleic Acids Res., 2021

ATTCry: Attention-based neural network model for protein crystallization prediction.
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

Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction.
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
AcrFinder: genome mining anti-CRISPR operons in prokaryotes and their viruses.
Nucleic Acids Res., 2020

eCAMI: simultaneous classification and motif identification for enzyme annotation.
Bioinform., 2020

GDASC: a GPU parallel-based web server for detecting hidden batch factors.
Bioinform., 2020

Bayesian Multi-scale Convolutional Neural Network for Motif Occupancy Identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Flexible Non-Negative Matrix Factorization to Unravel Disease-Related Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

A disease-related gene mining method based on weakly supervised learning model.
BMC Bioinform., 2019

Antimicrobial peptide identification using multi-scale convolutional network.
BMC Bioinform., 2019

2018
dbCAN2: a meta server for automated carbohydrate-active enzyme annotation.
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

pHMM-tree: phylogeny of profile hidden Markov models.
Bioinform., 2017

2014
Incidence Coloring-Assisted Frequency Assignment in Two-Hop OFDMA-based Cellular Networks.
Wirel. Pers. Commun., 2014

2011
Bifurcations of periodic orbits in three-well Duffing system with a phase shift.
J. Syst. Sci. Complex., 2011


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