Bifurcations of periodic orbits in three-well Duffing system with a phase shift. - Jicai Huang; Han Zhang 017 (J. Syst. Sci. Complex., 2011)

Incidence Coloring-Assisted Frequency Assignment in Two-Hop OFDMA-based Cellular Networks. - Chao Zuo; Cong Xiong; Han Zhang 017; Han Gao; Chang Fang (Wirel. Pers. Commun., 2014)

pHMM-tree: phylogeny of profile hidden Markov models. - Luyang Huo; Han Zhang 017; Xueting Huo; Yasong Yang; Xueqiong Li (Bioinform., 2017)

Identify Huntington's disease associated genes based on restricted Boltzmann machine with RNA-seq data. - Xue Jiang; Han Zhang 017; Feng Duan; Xiongwen Quan (BMC Bioinform., 2017)

Detecting hidden batch factors through data-adaptive adjustment for biological effects. - Haidong Yi; Ayush T. Raman; Han Zhang 017; Genevera I. Allen; Zhandong Liu (Bioinform., 2018)

dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation. - Le Huang; Han Zhang 017; Peizhi Wu; Sarah Entwistle; Xueqiong Li; Tanner Yohe; Haidong Yi; Zhenglu Yang; Yanbin Yin (Nucleic Acids Res., 2018)

dbCAN2: a meta server for automated carbohydrate-active enzyme annotation. - Han Zhang 017; Tanner Yohe; Le Huang; Sarah Entwistle; Peizhi Wu; Zhenglu Yang; Peter Kamp Busk; Ying Xu; Yanbin Yin (Nucleic Acids Res., 2018)

Antimicrobial peptide identification using multi-scale convolutional network. - Xin Su; Jing Xu; Yanbin Yin; Xiongwen Quan; Han Zhang 017 (BMC Bioinform., 2019)

A disease-related gene mining method based on weakly supervised learning model. - Han Zhang 017; Xueting Huo; Xia Guo; Xin Su; Xiongwen Quan; Chen Jin (BMC Bioinform., 2019)

Flexible Non-Negative Matrix Factorization to Unravel Disease-Related Genes. - Xue Jiang; Han Zhang 017; Zhao Zhang; Xiongwen Quan (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Bayesian Multi-scale Convolutional Neural Network for Motif Occupancy Identification. - Wei Li 184; Qingqing Zhao; Han Zhang 017; Xiongwen Quan; Jing Xu; Yanbin Yin (BIBM, 2020)

GDASC: a GPU parallel-based web server for detecting hidden batch factors. - Xiao Wang; Haidong Yi; Jia Wang; Zhandong Liu; Yanbin Yin; Han Zhang 017 (Bioinform., 2020)

eCAMI: simultaneous classification and motif identification for enzyme annotation. - Jing Xu; Han Zhang 017; Jinfang Zheng; Philippe Dovoedo; Yanbin Yin (Bioinform., 2020)

AcrFinder: genome mining anti-CRISPR operons in prokaryotes and their viruses. - Haidong Yi; Le Huang; Bowen Yang; Javi Gomez; Han Zhang 017; Yanbin Yin (Nucleic Acids Res., 2020)

Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training. - Chen Jin; Zhuangwei Shi; Han Zhang 017; Yanbin Yin (BIBM, 2021)

Adversarial Dual-Channel Variational Graph Autoencoder for Synthetic Lethality Prediction in Human Cancers. - Wei Li 184; Han Zhang 017; Qingqing Zhao; Jian Liu; Yanbin Yin (BIBM, 2021)

Novel GAN Inversion Model with Latent Space Constraints for Face Reconstruction. - Jinglong Yang; Xiongwen Quan; Han Zhang 017 (ICONIP (3), 2021)

A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations. - Zhuangwei Shi; Han Zhang 017; Chen Jin; Xiongwen Quan; Yanbin Yin (BMC Bioinform., 2021)

Automatic arteriosclerotic retinopathy grading using four-channel with image merging. - Shuo Gao; Li Gao; Xiongwen Quan; Han Zhang 017; Hang Bai; Chuanze Kang (Comput. Methods Programs Biomed., 2021)

ATTCry: Attention-based neural network model for protein crystallization prediction. - Chen Jin; Jianzhao Gao; Zhuangwei Shi; Han Zhang 017 (Neurocomputing, 2021)

AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. - Le Huang; Bowen Yang; Haidong Yi; Amina Asif; Jiawei Wang 002; Trevor Lithgow; Han Zhang 017; Fayyaz ul Amir Afsar Minhas; Yanbin Yin (Nucleic Acids Res., 2021)

Mutual Information Estimation-Based Disentangled Representation Network for Medical Image Fusion. - Wanwan Huang; Han Zhang 017; Zeyuan Li; Yanbin Yin (BIBM, 2022)

LR-GNN: a graph neural network based on link representation for predicting molecular associations. - Chuanze Kang; Han Zhang 017; Zhuo Liu; Shenwei Huang; Yanbin Yin (Briefings Bioinform., 2022)

MGEGFP: a multi-view graph embedding method for gene function prediction based on adaptive estimation with GCN. - Wei Li 184; Han Zhang 017; Minghe Li; Mingjing Han; Yanbin Yin (Briefings Bioinform., 2022)

HDMC: a novel deep learning-based framework for removing batch effects in single-cell RNA-seq data. - Xiao Wang; Jia Wang; Han Zhang 017; Shenwei Huang; Yanbin Yin (Bioinform., 2022)

BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images. - Xingyuan Ou; Li Gao; Xiongwen Quan; Han Zhang 017; Jinglong Yang; Wei Li 184 (Comput. Methods Programs Biomed., 2022)

Domain-aware multi-modality fusion network for generalized zero-shot learning. - Jia Wang; Xiao Wang; Han Zhang 017 (Neurocomputing, 2022)

Multiple kernel learning for label relation and class imbalance in multi-label learning. - Mingjing Han; Han Zhang 017 (Inf. Sci., 2022)

A Two-Level Dynamic Adaptive Network for Medical Image Fusion. - Wanwan Huang; Han Zhang 017; Xiongwen Quan; Jia Wang (IEEE Trans. Instrum. Meas., 2022)

Hierarchical Semantic Augmentation Graph Neural Network for Drug-Disease Association Prediction. - Mingjing Han; Yanbin Yin; Han Zhang 017; Huan Wang (BIBM, 2023)

Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection. - Xiongwen Quan; Mingjing Han; Xia Guo; Zeyuan Li; Han Zhang 017; Yanbin Yin (BIBM, 2023)

LTUNet: A Lightweight Transformer-Based UNet with Multi-scale Mechanism for Skin Lesion Segmentation. - Huike Guo; Han Zhang 017; Minghe Li; Xiongwen Quan (CICAI (2), 2023)

Graph representation learning via redundancy reduction. - Mengyao He; Qingqing Zhao; Han Zhang 017; Chuanze Kang; Wei Li 184; Mingjing Han (Neurocomputing, 2023)

Graph pooling via Dual-view Multi-level Infomax. - Qingqing Zhao; Han Zhang 017; Mengyao He; Wei Li 184; Chuanze Kang; Mingjing Han (Knowl. Based Syst., 2023)

scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data. - Wei Li 184; Bin Xiang; Fan Yang 081; Yu Rong 001; Yanbin Yin; Jianhua Yao 001; Han Zhang 017 (Briefings Bioinform., 2023)

ADDNS: An asymmetric dual deep network with sharing mechanism for medical image fusion of CT and MR-T2. - Wanwan Huang; Han Zhang 017; Huike Guo; Wei Li 184; Xiongwen Quan; Yuzhi Zhang (Comput. Biol. Medicine, 2023)

Semantic-guided graph neural network for heterogeneous graph embedding. - Mingjing Han; Han Zhang 017; Wei Li 184; Yanbin Yin (Expert Syst. Appl., 2023)

TMGE: a multi-view graph embedding model for prediction task of genes associated with neurodegenerative diseases. - Yuanxiang Jiang; Mingjing Han; Yanbin Yin; Han Zhang 017 (BIBM, 2024)

TL-CCL: Two-level causal contrastive learning for multi-label ocular disease diagnosis with fundus images. - Wei Wang 383; Xiongwen Quan; Wanwan Huang; Yu Cheng; Han Zhang 017 (Biomed. Signal Process. Control., 2024)

AVBAE-MODFR: A novel deep learning framework of embedding and feature selection on multi-omics data for pan-cancer classification. - Minghe Li; Huike Guo; Keao Wang; Chuanze Kang; Yanbin Yin; Han Zhang 017 (Comput. Biol. Medicine, 2024)

KAGNN: Graph neural network with kernel alignment for heterogeneous graph learning. - Mingjing Han; Han Zhang 017 (Knowl. Based Syst., 2024)

BERMAD: batch effect removal for single-cell RNA-seq data using a multi-layer adaptation autoencoder with dual-channel framework. - Xiangxin Zhan; Yanbin Yin; Han Zhang 017 (Bioinform., 2024)

A Dual-Modality Complex-Valued Fusion Method for Predicting Side Effects of Drug-Drug Interactions Based on Graph Neural Network. - Chuanze Kang; Han Zhang 017; Yanbin Yin (IEEE J. Biomed. Health Informatics, 2024)

A multi-modal and multi-stage fusion enhancement network for segmentation based on OCT and OCTA images. - Xiongwen Quan; Guangyao Hou; Wenya Yin; Han Zhang 017 (Inf. Fusion, 2025)

A multi-step interaction network for multi-class classification based on OCT and OCTA images. - Han Zhang 017; Xuening Bai; Guangyao Hou; Xiongwen Quan (Inf. Fusion, 2025)

SMFusion: Semantic-Preserving Fusion of Multimodal Medical Images for Enhanced Clinical Diagnosis. - Haozhe Xiang; Han Zhang 017; Yu Cheng; Xiongwen Quan; Wanwan Huang (CoRR, 2025)