A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer. - Wenwen Min; Juan Liu 007; Fei Luo 004; Shi-Hua Zhang (BIBM, 2015)

A neurodynamic framework for local community extraction in networks. - Shihua Zhang; Guanghua Hu; Wenwen Min (CoRR, 2015)

L0-norm Sparse Graph-regularized SVD for Biclustering. - Wenwen Min; Juan Liu 007; Shi-Hua Zhang (CoRR, 2016)

Sparse Weighted Canonical Correlation Analysis. - Wenwen Min; Juan Liu 007; Shihua Zhang (CoRR, 2017)

Edge-group sparse PCA for network-guided high dimensional data analysis. - Wenwen Min; Juan Liu 007; Shihua Zhang (Bioinform., 2018)

Group-sparse SVD Models and Their Applications in Biological Data. - Wenwen Min; Juan Liu 007; Shihua Zhang (CoRR, 2018)

Prediction of drug-disease treatment relations based on positive and unlabeled samples. - Guangsheng Wu; Juan Liu 007; Wenwen Min (J. Intell. Fuzzy Syst., 2018)

Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. - Wenwen Min; Juan Liu 007; Shihua Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. - Fangfang Zhu; Juan Liu 007; Wenwen Min (ICIC (2), 2019)

Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis. - Wenwen Min; Taosheng Xu; Xiang Wan; Tsung-Hui Chang (CoRR, 2021)

TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers. - Wenwen Min; Tsung-Hui Chang; Shihua Zhang; Xiang Wan (PLoS Comput. Biol., 2021)

Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data. - Wenwen Min; Juan Liu 007; Shihua Zhang (IEEE Trans. Knowl. Data Eng., 2021)

A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis. - Wenwen Min; Xiang Wan; Tsung-Hui Chang; Shihua Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis. - Xiaoyu Li; Wenwen Min; Jinyu Chen; Jiaxin Wu; Shunfang Wang (BIBM, 2023)

Multimodal attention-based variational autoencoder for clinical risk prediction. - Xiaoyu Li; Taosheng Xu; Jinyu Chen; Jun Wan 005; Wenwen Min (BIBM, 2023)

Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection. - Wenwen Min; Taosheng Xu; Chris Ding (CoRR, 2023)

An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization. - Weifeng Yang; Wenwen Min (CoRR, 2023)

Precise Facial Landmark Detection by Reference Heatmap Transformer. - Jun Wan 005; Jun Liu 036; Jie Zhou 009; Zhihui Lai 001; Linlin Shen; Hang Sun; Ping Xiong 001; Wenwen Min (IEEE Trans. Image Process., 2023)

Structured Sparse Non-Negative Matrix Factorization With $ ell _{2,0}$ℓ2,0-Norm. - Wenwen Min; Taosheng Xu; Xiang Wan; Tsung-Hui Chang (IEEE Trans. Knowl. Data Eng., 2023)

TsImpute: an accurate two-step imputation method for single-cell RNA-seq data. - Weihua Zheng; Wenwen Min; Shunfang Wang (Bioinform., 2023)

Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net. - Donghai Fang; Fangfang Zhu; Wenwen Min (BIBM, 2024)

Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data. - Donghai Fang; Fangfang Zhu; Dongting Xie; Wenwen Min (BIBM, 2024)

Masked adversarial neural network for cell type deconvolution in spatial transcriptomics. - Lin Huang; Xiaofei Liu; Shunfang Wang; Wenwen Min (BIBM, 2024)

Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation. - Xiaoyu Li; Wenwen Min; Shunfang Wang; Changmiao Wang; Taosheng Xu (BIBM, 2024)

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. - Wenwen Min; Zhen Wang; Fangfang Zhu; Taosheng Xu; Guangsheng Wu; Shunfang Wang (BIBM, 2024)

High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE. - Zhiceng Shi; Shuailin Xue; Fangfang Zhu; Wenwen Min (BIBM, 2024)

Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis. - Xinyuan Shi; Fangfang Zhu; Wenwen Min (BIBM, 2024)

CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection. - Zhipeng Wang; Ruiquan Ge; Jianxun Yu; Feiwei Qin; Yuan Tian; Nannan Li; Wenwen Min; Ahmed Elazab; Changmiao Wang (BIBM, 2024)

Polymorphic multi-head attention aggregation network for skin lesion segmentation. - Li Yu; Chaowei Chen; Wenwen Min; Che Zhao; Shunfang Wang (BIBM, 2024)

Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with ℓ0-Constraints. - Weifeng Yang; Wenwen Min (ICIC (LNAI 1), 2024)

BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images. - Zhanghao Chen; Yifei Sun 005; Ruiquan Ge; Wenjian Qin; Cheng Pan; Wenming Deng; Zhou Liu; Wenwen Min; Ahmed Elazab; Xiang Wan; Changmiao Wang (ISBI, 2024)

Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis. - Donghai Fang; Yichen Gao; Zhaoying Wang; Fangfang Zhu; Wenwen Min (ISBRA (1), 2024)

Spatial Gene Expression Prediction from Histology Images with STco. - Zhiceng Shi; Fangfang Zhu; Changmiao Wang; Wenwen Min (ISBRA (1), 2024)

stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement. - Shuailin Xue; Fangfang Zhu; Changmiao Wang; Wenwen Min (ISBRA (1), 2024)

sTPLS: identifying common and specific correlated patterns under multiple biological conditions. - Jinyu Chen; Wenwen Min (Briefings Bioinform., 2024)

SpaDiT: diffusion transformer for spatial gene expression prediction using scRNA-seq. - Xiaoyu Li; Fangfang Zhu; Wenwen Min (Briefings Bioinform., 2024)

Multimodal contrastive learning for spatial gene expression prediction using histology images. - Wenwen Min; Zhiceng Shi; Jun Zhang; Jun Wan 005; Changmiao Wang (Briefings Bioinform., 2024)

Inferring single-cell resolution spatial gene expression via fusing spot-based spatial transcriptomics, location, and histology using GCN. - Shuailin Xue; Fangfang Zhu; Jinyu Chen; Wenwen Min (Briefings Bioinform., 2024)

stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation. - Xiaoyu Li; Wenwen Min; Shunfang Wang; Changmiao Wang; Taosheng Xu (CoRR, 2024)

Graph Regularized NMF with L20-norm for Unsupervised Feature Learning. - Zhen Wang; Wenwen Min (CoRR, 2024)

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. - Wenwen Min; Zhen Wang; Fangfang Zhu; Taosheng Xu; Shunfang Wang (CoRR, 2024)

BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models. - Yifei Sun 005; Zhanghao Chen; Hao Zheng; Wenming Deng; Jin Liu; Wenwen Min; Ahmed Elazab; Xiang Wan; Changmiao Wang; Ruiquan Ge (CoRR, 2024)

Precise facial landmark detection by Dynamic Semantic Aggregation Transformer. - Jun Wan 005; He Liu; Yujia Wu; Zhihui Lai 001; Wenwen Min; Jun Liu 036 (Pattern Recognit., 2024)

Boundary-Aware Gradient Operator Network for Medical Image Segmentation. - Li Yu; Wenwen Min; Shunfang Wang (IEEE J. Biomed. Health Informatics, 2024)

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. - Xiangyang Hu; Xiangyu Shen; Yifei Sun 005; Xuhao Shan; Wenwen Min; Liyilei Su; Xiaomao Fan; Ahmed Elazab; Ruiquan Ge; Changmiao Wang; Xiaopeng Fan (ISBI, 2025)

SpaMask: Dual masking graph autoencoder with contrastive learning for spatial transcriptomics. - Wenwen Min; Donghai Fang; Jinyu Chen; Shihua Zhang (PLoS Comput. Biol., 2025)