Wenwen Min

According to our database, Wenwen Min authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Boundary-Aware Gradient Operator Network for Medical Image Segmentation.

Li Yu, Wenwen Min, Shunfang Wang

IEEE J. Biomed. Health Informatics, August, 2024

Precise facial landmark detection by Dynamic Semantic Aggregation Transformer.

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

Pattern Recognit., 2024

Masked adversarial neural network for cell type deconvolution in spatial transcriptomics.

Lin Huang, Xiaofei Liu, Shunfang Wang, Wenwen Min

CoRR, 2024

High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE.

Zhiceng Shi, Shuailin Xue, Fangfang Zhu, Wenwen Min

CoRR, 2024

SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq.

Xiaoyu Li, Fangfang Zhu, Wenwen Min

CoRR, 2024

Multimodal contrastive learning for spatial gene expression prediction using histology images.

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

CoRR, 2024

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

Zhen Wang, Wenwen Min

CoRR, 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

stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement.

Shuailin Xue, Fangfang Zhu, Changmiao Wang, Wenwen Min

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Spatial Gene Expression Prediction from Histology Images with STco.

Zhiceng Shi, Fangfang Zhu, Changmiao Wang, Wenwen Min

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis.

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

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.

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with ℓ₀-Constraints.

Weifeng Yang, Wenwen Min

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

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

Weihua Zheng, Wenwen Min, Shunfang Wang

Bioinform., December, 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., August, 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 Trans. Image Process., 2023

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

Weifeng Yang, Wenwen Min

CoRR, 2023

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

Wenwen Min, Taosheng Xu, Chris Ding

CoRR, 2023

Multimodal attention-based variational autoencoder for clinical risk prediction.

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

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.

Xiaoyu Li, Wenwen Min, Jinyu Chen, Jiaxin Wu, Shunfang Wang

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.

Wenwen Min, Xiang Wan, Tsung-Hui Chang, Shihua Zhang

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.

Wenwen Min, Juan Liu, Shihua Zhang

IEEE Trans. Knowl. Data Eng., 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

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

2019

Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data.

Fangfang Zhu, Juan Liu, Wenwen Min

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery.

Wenwen Min, Juan Liu, Shihua Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Prediction of drug-disease treatment relations based on positive and unlabeled samples.

Guangsheng Wu, Juan Liu, Wenwen Min

J. Intell. Fuzzy Syst., 2018

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

Wenwen Min, Juan Liu, Shihua Zhang

CoRR, 2018

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

Wenwen Min, Juan Liu, Shihua Zhang

Bioinform., 2018

2017

Sparse Weighted Canonical Correlation Analysis.

Wenwen Min, Juan Liu, Shihua Zhang

CoRR, 2017

2016

L0-norm Sparse Graph-regularized SVD for Biclustering.

Wenwen Min, Juan Liu, Shi-Hua Zhang

CoRR, 2016

2015

A neurodynamic framework for local community extraction in networks.

Shihua Zhang, Guanghua Hu, Wenwen Min

CoRR, 2015

A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer.

Wenwen Min, Juan Liu, Fei Luo, Shi-Hua Zhang

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015