Wenwen Min

Orcid: 0000-0002-2558-2911

According to our database1, Wenwen Min authored at least 46 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
SpaMask: Dual masking graph autoencoder with contrastive learning for spatial transcriptomics.
PLoS Comput. Biol., 2025

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Boundary-Aware Gradient Operator Network for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, August, 2024

Precise facial landmark detection by Dynamic Semantic Aggregation Transformer.
Pattern Recognit., 2024

BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models.
CoRR, 2024

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data.
CoRR, 2024

Graph Regularized NMF with L20-norm for Unsupervised Feature Learning.
CoRR, 2024

stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation.
CoRR, 2024

Inferring single-cell resolution spatial gene expression via fusing spot-based spatial transcriptomics, location, and histology using GCN.
Briefings Bioinform., 2024

Multimodal contrastive learning for spatial gene expression prediction using histology images.
Briefings Bioinform., 2024

SpaDiT: diffusion transformer for spatial gene expression prediction using scRNA-seq.
Briefings Bioinform., 2024

sTPLS: identifying common and specific correlated patterns under multiple biological conditions.
Briefings Bioinform., 2024

stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Spatial Gene Expression Prediction from Histology Images with STco.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with ℓ<sub>0</sub>-Constraints.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Polymorphic multi-head attention aggregation network for skin lesion segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Masked Conditional Diffusion Model with GNN for Spatial Transcriptomics Data Imputation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Masked adversarial neural network for cell type deconvolution in spatial transcriptomics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
TsImpute: an accurate two-step imputation method for single-cell RNA-seq data.
Bioinform., December, 2023

Structured Sparse Non-Negative Matrix Factorization With $\ell _{2,0}$ℓ2,0-Norm.
IEEE Trans. Knowl. Data Eng., August, 2023

Precise Facial Landmark Detection by Reference Heatmap Transformer.
IEEE Trans. Image Process., 2023

An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization.
CoRR, 2023

Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection.
CoRR, 2023

Multimodal attention-based variational autoencoder for clinical risk prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2022

2021
Group-Sparse SVD Models via $L_1$L1- and $L_0$L0-norm Penalties and their Applications in Biological Data.
IEEE Trans. Knowl. Data Eng., 2021

TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers.
PLoS Comput. Biol., 2021

Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis.
CoRR, 2021

2019
Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Prediction of drug-disease treatment relations based on positive and unlabeled samples.
J. Intell. Fuzzy Syst., 2018

Group-sparse SVD Models and Their Applications in Biological Data.
CoRR, 2018

Edge-group sparse PCA for network-guided high dimensional data analysis.
Bioinform., 2018

2017
Sparse Weighted Canonical Correlation Analysis.
CoRR, 2017

2016
L0-norm Sparse Graph-regularized SVD for Biclustering.
CoRR, 2016

2015
A neurodynamic framework for local community extraction in networks.
CoRR, 2015

A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015


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