Differential coexpression analysis in gene modules level and its application to type 2 diabetes. - Lin Yuan 001; Wen Sha; Jun Zhang 011; Chun-Hou Zheng 001; Junfeng Xia (BIBM, 2013)

Biweight Midcorrelation-Based Gene Differential Coexpression Analysis and Its Application to Type II Diabetes. - Lin Yuan 001; Wen Sha; Zhan-Li Sun; Chun-Hou Zheng 001 (ICIC (3), 2013)

Gene differential coexpression analysis based on biweight correlation and maximum clique. - Chun-Hou Zheng 001; Lin Yuan 001; Wen Sha; Zhan-Li Sun (BMC Bioinform., 2014)

Novel Algorithm for Multiple Quantitative Trait Loci Mapping by Using Bayesian Variable Selection Regression. - Lin Yuan 001; Kyungsook Han; De-Shuang Huang (ICIC (3), 2016)

DSD-SVMs: Human Promoter Recognition Based on Multiple Deep Divergence Features. - Wenxuan Xu; Wenzheng Bao; Lin Yuan 001; Zhichao Jiang (ICIC (1), 2017)

MD-MSVMs: A Human Promoter Recognition Method Based on Single Nucleotide Statistics and Multilayer Decision. - Wenxuan Xu; Wenzheng Bao; Lin Yuan 001; Zhichao Jiang (ICIC (1), 2017)

FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis. - Lin Yuan 001; Chang-An Yuan 001; De-Shuang Huang (Complex., 2017)

Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping. - Lin Yuan 001; Lin Zhu 008; Wei-Li Guo; Xiaobo Zhou 001; Youhua Zhang; Zhenhua Huang 005; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer. - Lin Yuan 001; Lehang Guo; Chang-an Yuan 001; Youhua Zhang; Kyungsook Han; Asoke K. Nandi; Barry Honig; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR Region. - Zhen Shen; YanLing Shao; Lin Yuan 001 (ICIC (3), 2021)

Joint Association Analysis Method to Predict Genes Related to Liver Cancer. - Lin Yuan 001; Zhen Shen (ICIC (3), 2021)

A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs. - Lin Yuan 001; Jing Zhao; Tao Sun; Zhen Shen (BMC Bioinform., 2021)

Bio-ATT-CNN: A Novel Method for Identification of Glioblastoma. - Jinling Lai; Zhen Shen; Lin Yuan 001 (ICIC (2), 2022)

Tourist Attraction Recommendation System Based on Django and Collaborative Filtering. - Yufeng Jiang; Yushu Zhang; Zhujun Li 001; Wendong Yu; Hongwei Wei; Lin Yuan 001 (ICAI (2), 2023)

A New and Efficient Dormitory Management System. - Boyuan Meng; Yushu Zhang; Zhujun Li 001; Wendong Yu; Hongwei Wei; Lin Yuan 001 (ICAI (2), 2023)

An Improved Method for CFNet Identifying Glioma Cells. - Lin Yuan 001; Jinling Lai; Zhen Shen; Wendong Yu; Hongwei Wei; Ling Zhao; Zhijie Xu; Xingang Wang; Yushui Geng (ICIC (3), 2023)

Identification of CircRNA-Disease Associations from the Integration of Multi-dimensional Bioinformatics with Graph Auto-encoder and Attention Fusion Model. - Lin Yuan 001; Jiawang Zhao; Zhen Shen; Wendong Yu; Hongwei Wei; Shengguo Sun; Xingang Wang; Yushui Geng (ICIC (3), 2023)

A Novel Method for Wearable Activity Recognition with Feature Evolvable Streams. - Yixiao Wang; Chunyu Hu 001; Hong Liu 013; Lei Lyu 001; Lin Yuan 001 (MobiQuitous (1), 2023)

iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. - Lin Yuan 001; Jiawang Zhao; Zhen Shen; Qinhu Zhang; Yushui Geng; Chun-Hou Zheng 001; De-Shuang Huang (PLoS Comput. Biol., 2023)

FedIERF: Federated Incremental Extremely Random Forest for Wearable Health Monitoring. - Chunyu Hu 001; Lisha Hu; Lin Yuan 001; Dianjie Lu; Lei Lyu 001; Yiqiang Chen 001 (J. Comput. Sci. Technol., 2023)

Design and Implementation of Takeaway Ordering Recommendation System Based on Python and Flask. - Junjie Cao; Wendong Yu; Hongwei Wei; Lin Yuan 001; Zhujun Li 001 (ICAI (2), 2024)

A New and Efficient IT Knowledge Exchange Platform. - Jinting Sha; Wendong Yu; Hongwei Wei; Lin Yuan 001; Zhujun Li 001 (ICAI (1), 2024)

Adaptive Weight Sampling and Graph Transformer Neural Network Framework for Cell Type Annotation of Scrna-seq Data. - Lin Yuan 001; Shengguo Sun; Zhujun Li 001; Shoukang Zhang; Xingang Wang; Yushui Geng (ICIC (LNBI 2), 2024)

Cluster Analysis of Scrna-Seq Data Combining Bioinformatics with Graph Attention Autoencoders and Ensemble Clustering. - Lin Yuan 001; Zhijie Xu; Zhujun Li 001; Shoukang Zhang; Chunyu Hu 001; Wendong Yu; Hongwei Wei; Xingang Wang; Yushui Geng (ICIC (LNBI 2), 2024)

ScADSATGRN: An Adaptive Diffusion Structure-Aware Transformer Based Method Inferring Gene Regulatory Networks from Single-Cell Transcriptomic Data. - Lin Yuan 001; Ling Zhao; Zhujun Li 001; Chunyu Hu 001; Shoukang Zhang; Xingang Wang; Yushui Geng (ICIC (LNBI 2), 2024)

LCKGCN: Identifying Potential Circrna-Disease Associations Based on Large Convolutional Kernel and Graph Convolutional Network. - Yushu Zhang; Lin Yuan 001; Zhujun Li 001 (ICIC (LNBI 2), 2024)

scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning. - Lin Yuan 001; Shengguo Sun; Yufeng Jiang; Qinhu Zhang; Lan Ye; Chun-Hou Zheng 001; De-Shuang Huang (Briefings Bioinform., 2024)

scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic data. - Lin Yuan 001; Ling Zhao; Yufeng Jiang; Zhen Shen; Qinhu Zhang; Ming Zhang; Chun-Hou Zheng 001; De-Shuang Huang (Briefings Bioinform., 2024)

Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer. - Lin Yuan 001; Shengguo Sun; Qinhu Zhang; Hai-Tao Li; Zhen Shen; Chunyu Hu 001; Xiaogang Zhao; Lan Ye; Chun-Hou Zheng 001; De-Shuang Huang (Future Gener. Comput. Syst., 2024)

iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites. - Lin Yuan 001; Ling Zhao; Jinling Lai; Yufeng Jiang; Qinhu Zhang; Zhen Shen; Chun-Hou Zheng 001; De-Shuang Huang (PLoS Comput. Biol., 2024)

A Data Contribution-Based Adaptive Federated Learning Approach for Wearable Activity Recognition. - Yi Zhao; Chunyu Hu 001; Xiaodong Yang 005; Lin Yuan 001; Xiang Tian 005; Tianlei Gao; Yiqiang Chen 001 (CSCWD, 2025)

Aligning Histological Images and Spatial Gene Expression Profiles via Dynamic Convolution and Graph Transformers. - Yufeng Jiang; Mengkai Deng; Zizheng Li; Qingxiang Wang; Chunyu Hu 001; Yushui Geng; Zhujun Li 001; Lin Yuan 001 (ICIC (26), 2025)

SGAEMVN: A Hybrid Neighborhood-Based Graph Attention Autoencoder for Identifying Spatial Domains from Spatial Transcriptomics. - Boyuan Meng; Zhiting Xu 004; Lingyuan Yang; Qingxiang Wang; Chunyu Hu 001; Xingang Wang; Zhujun Li 001; Lin Yuan 001 (ICIC (26), 2025)

A brief survey of deep learning-based models for CircRNA-protein binding sites prediction. - Zhen Shen; Lin Yuan 001; Wenzheng Bao; Siguo Wang; Qinhu Zhang; De-Shuang Huang (Neurocomputing, 2025)