闵文文｜云南大学｜学者主页

2026

HisDiff: Hierarchical Diffusion Modeling for Spatial Gene Expression Prediction from Histology Images

Xiaofei Liu, Yi Wang, Wenwen Min

Pattern Recognition

2026

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

Zhenbing Liu, Hongzhi Liu, Hongzhi Liu, Nuo Yang, Dong Zeng, Wenwen Min, Zaiyi Liu, Zaiyi Liu, Haoxiang Lu, Changmiao Wang, Haoxiang Lu

Lecture notes in computer science

DOI

2026

FreqFLD: Towards all-in-one facial landmark detection via frequency modulation

Ren Shun, Kaijie Jin, Shengkai Hu, Beihang Song, Hang Sun, Wenwen Min, Youfa Liu, Jun Wan

Neural Networks

DOI

2026

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

Xiaoyu Li, Lihua Zhang, Wenwen Min

Advanced Science

DOI

2026

SpaAGMF: Adaptive Gated Multi-scale Fusion of Histology and Spatial Transcriptomics for Cancer Region Classification

Yunfeng Mao, Wenwen Min

Lecture notes in computer science

DOI

2026

SpaBiT: enhancing spatial transcriptomics resolution via bidirectional attention transformers

X W Liu, Ao Li, Wenwen Min

Bioinformatics

DOI

2026

Multi-view masked graph representation learning with semantic alignment for spatial multi-omics clustering

Jinjie Zhao, Jun Wan, Wenwen Min

Pattern Recognition

DOI

2026

HisCMCL: cross-modal contrastive learning with hierarchical multi-scale fusion for spatial expression prediction

C X Liu, Fangfang Zhu, Wenwen Min

Bioinformatics

DOI

2026

SpaMGCL: Neighborhood-aware masked graph contrastive learning for spatial transcriptomics analysis

Jinjie Zhao, Donghai Fang, Wenwen Min

Expert Systems with Applications

DOI

2026

SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection

Shuailin Xue, Jun Wan, Lihua Zhang, Wenwen Min

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

FGTBT: Frequency-guided task-balancing transformer for unified facial landmark detection

Jun Wan, Xinyu Xiong, Ning Chen, Zhihui Lai, Jie Zhou, Wenwen Min

Information Sciences

DOI

2026

Graph Regularized Sparse Nonnegative Tucker Decomposition with $l_{0}$ -Constraints for Unsupervised Learning

Weifeng Yang, Wenwen Min

Chinese Journal of Electronics

DOI

2026

Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images

Donghai Fang, Yong-Heng Li, Zhen Wang, Yuansong Zeng, Wenwen Min

arXiv.org

DOI

2025

BS-LDM: Effective B one S uppression in High-Resolution Chest X-Ray Images With Conditional L atent D iffusion M odels

Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang, Ruiquan Ge

IEEE Journal of Biomedical and Health Informatics

DOI

2025

VTrans: A VAE-Based Pre-Trained Transformer Method for Microbiome Data Analysis

Xinyuan Shi, Xinyuan Shi, Fangfang Zhu, Fangfang Zhu, Wenwen Min, Wenwen Min

Journal of Computational Biology

DOI

2025

RTGMFF: Enhanced fMRI-Based Brain Disorder Diagnosis via ROI-Driven Text Generation and Multimodal Feature Fusion

Junhao Jia, Yifei Sun, Yunyou Liu, Yang Cheng, Changmiao Wang, Feiwei Qin, Yong Kang Peng, Wenwen Min

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

RE-SAM2: Boosting Few-Shot Medical Image Segmentation via Reinforcement Learning and Ensemble Learning

Bin Zhao, Shougan Teng, Wenwen Min, Changmiao Wang, Zhenbing Liu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

SpaCross deciphers spatial structures and corrects batch effects in multi-slice spatially resolved transcriptomics

Donghai Fang, Wenwen Min

Communications Biology

DOI

2025

GraphMMP: A Graph Neural Network Model with Mutual Information and Global Fusion for Multimodal Medical Prognosis

Xuhao Shan, Ruiquan Ge, Jikui Liu, Linglong Wu, Chi Zhang, Siqi Liu, Wenjian Qin, Wenwen Min, Ahmed Elazab, Changmiao Wang

Lecture notes in computer science

DOI

2025

Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

Shuailin Xue, Changmiao Wang, Xiaomao Fan, Wenwen Min

Lecture notes in computer science

DOI

2025

SpaBatch: Deep Learning‐Based Cross‐Slice Integration and 3D Spatial Domain Identification in Spatial Transcriptomics

Jinyun Niu, Donghai Fang, Jinyu Chen, Yi Xiong, Juan Liu, Wenwen Min

Advanced Science

DOI

2025

Weighted Sparse Partial Least Squares With Joint Sample and Feature Selection for Integrating Multi-Omics Data

Wenwen Min, Taosheng Xu, Chris H. Q. Ding

IEEE Transactions on Computational Biology and Bioinformatics

DOI

2025

Sparse Nonnegative CP Decomposition with Graph Regularization and $\ell_{0}$-Constraints for Clustering

Weifeng Yang, Taosheng Xu, Wenwen Min

Chinese Journal of Electronics

DOI

2025

Improving cell-type composition inference in spatial transcriptomics with SpaDAMA

Lin Huang, Xiaofei Liu, Fangfang Zhu, Wenwen Min

PLoS Computational Biology

DOI

2025

IGCLAPS: an interpretable graph contrastive learning method with adaptive positive sampling for scRNA-seq data analysis

Weihua Zheng, Wenwen Min, Shunfang Wang

Bioinformatics

DOI

2025

SpaICL: image-guided curriculum strategy-based graph contrastive learning for spatial transcriptomics clustering

Jingcheng Zhao, Wenwen Min

Briefings in Bioinformatics

DOI

2025

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2025

SpaMask: Dual masking graph autoencoder with contrastive learning for spatial transcriptomics

Wenwen Min, Donghai Fang, Jinyu Chen, Shihua Zhang

PLoS Computational Biology

DOI

2025

sTPLS: identifying common and specific correlated patterns under multiple biological conditions

Jinyu Chen, Wenwen Min

Briefings in Bioinformatics

DOI

2025

Inferring multi-slice spatially resolved gene expression from H&E-stained histology images with STMCL

Zhiceng Shi, Fangfang Zhu, Wenwen Min

Methods

DOI

2025

SpaViT: Self-supervised Prediction of High-Resolution Spatial Transcriptomics with Vision Transformer

Wenwen Min, Shuailin Xue, Fangfang Zhu, Taosheng Xu, Changmiao Wang, Hong-bo Xie

Tsinghua Science and Technology

DOI

2024

Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation

X Rong Li, Wenwen Min, Shunfang Wang, Changmiao Wang, Taosheng Xu

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis

Xinyuan Shi, Fangfang Zhu, Wenwen Min

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

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

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Precise facial landmark detection by Dynamic Semantic Aggregation Transformer

Jun Wan, He Liu, Yujia Wu, Zhihui Lai, Wenwen Min, Jun Liu

Pattern Recognition

DOI

2024

BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images

Zhanghao Chen, Yifei Sun, Ruiquan Ge, Wenjian Qin, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2024

Boundary-Aware Gradient Operator Network for Medical Image Segmentation

Li Yu, Wenwen Min, Shunfang Wang

IEEE Journal of Biomedical and Health Informatics

DOI

2024

stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement

Shuailin Xue, Fangfang Zhu, Changmiao Wang, Wenwen Min

Lecture notes in computer science

DOI

2024

SpatialCVGAE: Consensus Clustering Improves Spatial Domain Identification of Spatial Transcriptomics Using VGAE

Jinyun Niu, Fangfang Zhu, Donghai Fang, Wenwen Min

Interdisciplinary Sciences Computational Life Sciences

DOI

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

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data

Donghai Fang, Fangfang Zhu, Dongting Xie, Wenwen Min

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE

Zhiceng Shi, Shuailin Xue, Fangfang Zhu, Wenwen Min

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net

Donghai Fang, Fangfang Zhu, Wenwen Min

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Masked adversarial neural network for cell type deconvolution in spatial transcriptomics

Lin Huang, Xiaofei Liu, Shunfang Wang, Wenwen Min

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Polymorphic multi-head attention aggregation network for skin lesion segmentation

Li Yu, Chao‐Wei Chen, Wenwen Min, Che Zhao, Shunfang Wang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Deep clustering representation of spatially resolved transcriptomics data using multi-view variational graph auto-encoders with consensus clustering

Jinyun Niu, Fangfang Zhu, Taosheng Xu, Shunfang Wang, Wenwen Min

Computational and Structural Biotechnology Journal

DOI

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 in Bioinformatics

DOI

2024

Multimodal contrastive learning for spatial gene expression prediction using histology images

Wenwen Min, Zhiceng Shi, Jun Zhang, Jun Wan, Changmiao Wang

Briefings in Bioinformatics

DOI

2024

SpaDiT: diffusion transformer for spatial gene expression prediction using scRNA-seq

Xiaoyu Li, Fangfang Zhu, Wenwen Min

Briefings in Bioinformatics

DOI

2024

Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis

Donghai Fang, Yichen Gao, Zhaoying Wang, Fangfang Zhu, Wenwen Min

Lecture notes in computer science

DOI

2024

Spatial Gene Expression Prediction from Histology Images with STco

Zhiceng Shi, Fangfang Zhu, Changmiao Wang, Wenwen Min

Lecture notes in computer science

DOI

2024

Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with $${{\ell}}_{0}$$-Constraints

Weifeng Yang, Wenwen Min

Lecture notes in computer science

DOI

2024

Graph Regularized NMF with L20-norm for Unsupervised Feature Learning

Zhen Wang, Wenwen Min

arXiv.org

DOI

2023

TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis

X Rong Li, Wenwen Min, Jinyu Chen, Jiaxin Wu, Shunfang Wang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2023

Precise Facial Landmark Detection by Reference Heatmap Transformer

Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min

IEEE Transactions on Image Processing

DOI

2023

Multimodal attention-based variational autoencoder for clinical risk prediction

Xiaoyu Li, Taosheng Xu, Jinyu Chen, Jun Wan, Wenwen Min

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2023

TsImpute: an accurate two-step imputation method for single-cell RNA-seq data

Weihua Zheng, Wenwen Min, Shunfang Wang

Bioinformatics

DOI

2022

Structured Sparse Non-negative Matrix Factorization with $\ell _{2,0}$-Norm

Wenwen Min, Taosheng Xu, Xiang Wan, Tsung‐Hui Chang

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Network-based cancer genomic data integration for pattern discovery

Fangfang Zhu, Jiang Li, Juan Liu, Wenwen Min

BMC Genomic Data

DOI

2017

结构稀疏化方法及其在癌症基因组学中的应用研究

闵文文

《武汉大学》

精选作品

期刊论文

HisDiff: Hierarchical Diffusion Modeling for Spatial Gene Expression Prediction from Histology Images

DRGFuse: Alignment-Guided Dual-Layer Reliability-Gated CT–WSI Fusion for Preoperative TRG0 Vs TRG1–3 Prediction in Esophageal Cancer

FreqFLD: Towards all-in-one facial landmark detection via frequency modulation

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

SpaAGMF: Adaptive Gated Multi-scale Fusion of Histology and Spatial Transcriptomics for Cancer Region Classification

SpaBiT: enhancing spatial transcriptomics resolution via bidirectional attention transformers

Multi-view masked graph representation learning with semantic alignment for spatial multi-omics clustering

HisCMCL: cross-modal contrastive learning with hierarchical multi-scale fusion for spatial expression prediction

SpaMGCL: Neighborhood-aware masked graph contrastive learning for spatial transcriptomics analysis

SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection

FGTBT: Frequency-guided task-balancing transformer for unified facial landmark detection

Graph Regularized Sparse Nonnegative Tucker Decomposition with $l_{0}$ -Constraints for Unsupervised Learning

Adapting a Pre-trained Single-Cell Foundation Model to Spatial Gene Expression Generation from Histology Images

BS-LDM: Effective B one S uppression in High-Resolution Chest X-Ray Images With Conditional L atent D iffusion M odels

VTrans: A VAE-Based Pre-Trained Transformer Method for Microbiome Data Analysis

RTGMFF: Enhanced fMRI-Based Brain Disorder Diagnosis via ROI-Driven Text Generation and Multimodal Feature Fusion

RE-SAM2: Boosting Few-Shot Medical Image Segmentation via Reinforcement Learning and Ensemble Learning

SpaCross deciphers spatial structures and corrects batch effects in multi-slice spatially resolved transcriptomics

GraphMMP: A Graph Neural Network Model with Mutual Information and Global Fusion for Multimodal Medical Prognosis

Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

SpaBatch: Deep Learning‐Based Cross‐Slice Integration and 3D Spatial Domain Identification in Spatial Transcriptomics

Weighted Sparse Partial Least Squares With Joint Sample and Feature Selection for Integrating Multi-Omics Data

Sparse Nonnegative CP Decomposition with Graph Regularization and $\ell_{0}$-Constraints for Clustering

Improving cell-type composition inference in spatial transcriptomics with SpaDAMA

IGCLAPS: an interpretable graph contrastive learning method with adaptive positive sampling for scRNA-seq data analysis

SpaICL: image-guided curriculum strategy-based graph contrastive learning for spatial transcriptomics clustering

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

SpaMask: Dual masking graph autoencoder with contrastive learning for spatial transcriptomics

sTPLS: identifying common and specific correlated patterns under multiple biological conditions

Inferring multi-slice spatially resolved gene expression from H&E-stained histology images with STMCL

SpaViT: Self-supervised Prediction of High-Resolution Spatial Transcriptomics with Vision Transformer

Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation

Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis

CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection

Precise facial landmark detection by Dynamic Semantic Aggregation Transformer

BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images

Boundary-Aware Gradient Operator Network for Medical Image Segmentation

stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement

SpatialCVGAE: Consensus Clustering Improves Spatial Domain Identification of Spatial Transcriptomics Using VGAE

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data

Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data

High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE

Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net

Masked adversarial neural network for cell type deconvolution in spatial transcriptomics

Polymorphic multi-head attention aggregation network for skin lesion segmentation

Deep clustering representation of spatially resolved transcriptomics data using multi-view variational graph auto-encoders with consensus clustering

Inferring single-cell resolution spatial gene expression via fusing spot-based spatial transcriptomics, location, and histology using GCN

Multimodal contrastive learning for spatial gene expression prediction using histology images

SpaDiT: diffusion transformer for spatial gene expression prediction using scRNA-seq

Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis

Spatial Gene Expression Prediction from Histology Images with STco

Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with $${{\ell}}_{0}$$-Constraints

Graph Regularized NMF with L20-norm for Unsupervised Feature Learning

TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis

Precise Facial Landmark Detection by Reference Heatmap Transformer

Multimodal attention-based variational autoencoder for clinical risk prediction

TsImpute: an accurate two-step imputation method for single-cell RNA-seq data

Structured Sparse Non-negative Matrix Factorization with $\ell _{2,0}$-Norm

Network-based cancer genomic data integration for pattern discovery

结构稀疏化方法及其在癌症基因组学中的应用研究

预印本

SpaBatch: Batch Alignment of Spatial Transcriptomics Data using Graph Deep Learning

Dimensionality Reduction and Denoising of Spatial Transcriptomics Data Using Dual-Channel Masked Graph Autoencoder

数据集

SpaCut: Transcript-aware Morphology Fusion for Robust Cell Segmentation in Subcellular Spatial Transcriptomics

研究方向