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2020 – today
- 2024
[j13]Xiaoyu Li
, Fangfang Zhu, Wenwen Min:
SpaDiT: diffusion transformer for spatial gene expression prediction using scRNA-seq. Briefings Bioinform. 25(6) (2024)- [j12]Wenwen Min, Zhiceng Shi, Jun Zhang, Jun Wan, Changmiao Wang:
Multimodal contrastive learning for spatial gene expression prediction using histology images. Briefings Bioinform. 25(6) (2024) - [j11]Jun Wan, He Liu, Yujia Wu, Zhihui Lai, Wenwen Min, Jun Liu:
Precise facial landmark detection by Dynamic Semantic Aggregation Transformer. Pattern Recognit. 156: 110827 (2024) - [j10]Li Yu, Wenwen Min, Shunfang Wang:
Boundary-Aware Gradient Operator Network for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(8): 4711-4723 (2024) - [c9]Weifeng Yang, Wenwen Min:
Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with ℓ0-Constraints. ICIC (LNAI 1) 2024: 88-99 - [c8]Zhanghao Chen, Yifei Sun, Ruiquan Ge, Wenjian Qin, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang:
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images. ISBI 2024: 1-5 - [c7]Shuailin Xue, Fangfang Zhu, Changmiao Wang, Wenwen Min:
stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement. ISBRA (1) 2024: 63-75 - [c6]Donghai Fang, Yichen Gao, Zhaoying Wang, Fangfang Zhu, Wenwen Min:
Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis. ISBRA (1) 2024: 76-88 - [c5]Zhiceng Shi, Fangfang Zhu, Changmiao Wang, Wenwen Min:
Spatial Gene Expression Prediction from Histology Images with STco. ISBRA (1) 2024: 89-100 - [i22]Xiaoyu Li, Wenwen Min, Shunfang Wang, Changmiao Wang, Taosheng Xu:
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation. CoRR abs/2403.10863 (2024) - [i21]Zhen Wang, Wenwen Min:
Graph Regularized NMF with L20-norm for Unsupervised Feature Learning. CoRR abs/2403.10910 (2024) - [i20]Wenwen Min, Zhiceng Shi, Jun Zhang, Jun Wan, Changmiao Wang:
Multimodal contrastive learning for spatial gene expression prediction using histology images. CoRR abs/2407.08216 (2024) - [i19]Shuailin Xue, Fangfang Zhu, Changmiao Wang, Wenwen Min:
stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement. CoRR abs/2407.08224 (2024) - [i18]Xiaoyu Li, Fangfang Zhu, Wenwen Min:
SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq. CoRR abs/2407.13182 (2024) - [i17]Zhiceng Shi, Shuailin Xue, Fangfang Zhu, Wenwen Min:
High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE. CoRR abs/2407.20518 (2024) - [i16]Lin Huang, Xiaofei Liu, Shunfang Wang, Wenwen Min:
Masked adversarial neural network for cell type deconvolution in spatial transcriptomics. CoRR abs/2408.05065 (2024) - [i15]Wenwen Min, Zhen Wang, Fangfang Zhu, Taosheng Xu, Shunfang Wang:
scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. CoRR abs/2408.05258 (2024) - [i14]Donghai Fang, Fangfang Zhu, Dongting Xie, Wenwen Min:
Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data. CoRR abs/2408.06377 (2024) - [i13]Xinyuan Shi, Fangfang Zhu, Wenwen Min:
Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis. CoRR abs/2408.07709 (2024) - [i12]Donghai Fang, Fangfang Zhu, Wenwen Min:
Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net. CoRR abs/2408.15246 (2024) - 2023
- [j9]Weihua Zheng, Wenwen Min, Shunfang Wang:
TsImpute: an accurate two-step imputation method for single-cell RNA-seq data. Bioinform. 39(12) (2023) - [j8]Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min:
Precise Facial Landmark Detection by Reference Heatmap Transformer. IEEE Trans. Image Process. 32: 1966-1977 (2023) - [j7]Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang:
Structured Sparse Non-Negative Matrix Factorization With $\ell _{2,0}$ℓ2,0-Norm. IEEE Trans. Knowl. Data Eng. 35(8): 8584-8595 (2023) - [c4]Xiaoyu Li, Wenwen Min, Jinyu Chen, Jiaxin Wu, Shunfang Wang:
TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis. BIBM 2023: 1254-1259 - [c3]Xiaoyu Li, Taosheng Xu, Jinyu Chen, Jun Wan, Wenwen Min:
Multimodal attention-based variational autoencoder for clinical risk prediction. BIBM 2023: 1260-1265 - [i11]Jun Wan, Jun Liu, Jie Zhou, Zhihui Lai, Linlin Shen, Hang Sun, Ping Xiong, Wenwen Min:
Precise Facial Landmark Detection by Reference Heatmap Transformer. CoRR abs/2303.07840 (2023) - [i10]Wenwen Min, Taosheng Xu, Chris Ding:
Weighted Sparse Partial Least Squares for Joint Sample and Feature Selection. CoRR abs/2308.06740 (2023) - [i9]Weifeng Yang, Wenwen Min:
An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization. CoRR abs/2308.12126 (2023) - [i8]Weifeng Yang, Wenwen Min:
Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with 𝓁0-constraints. CoRR abs/2309.09239 (2023) - [i7]Zhanghao Chen, Yifei Sun, Wenjian Qin, Ruiquan Ge, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang:
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images. CoRR abs/2311.15328 (2023) - 2022
- [j6]Wenwen Min, Xiang Wan, Tsung-Hui Chang, Shihua Zhang:
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3842-3856 (2022) - 2021
- [j5]Wenwen Min, Tsung-Hui Chang, Shihua Zhang, Xiang Wan:
TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers. PLoS Comput. Biol. 17(6) (2021) - [j4]Wenwen Min, Juan Liu, Shihua Zhang:
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. 33(2): 536-550 (2021) - [i6]Wenwen Min, Taosheng Xu, Xiang Wan, Tsung-Hui Chang:
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis. CoRR abs/2104.13171 (2021)
2010 – 2019
- 2019
- [c2]Fangfang Zhu, Juan Liu, Wenwen Min:
Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. ICIC (2) 2019: 116-126 - 2018
- [j3]Wenwen Min, Juan Liu, Shihua Zhang:
Edge-group sparse PCA for network-guided high dimensional data analysis. Bioinform. 34(20): 3479-3487 (2018) - [j2]Guangsheng Wu, Juan Liu, Wenwen Min:
Prediction of drug-disease treatment relations based on positive and unlabeled samples. J. Intell. Fuzzy Syst. 35(2): 1363-1373 (2018) - [j1]Wenwen Min, Juan Liu, Shihua Zhang:
Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 944-953 (2018) - [i5]Wenwen Min, Juan Liu, Shihua Zhang:
Group-sparse SVD Models and Their Applications in Biological Data. CoRR abs/1807.10956 (2018) - 2017
- [i4]Wenwen Min, Juan Liu, Shihua Zhang:
Sparse Weighted Canonical Correlation Analysis. CoRR abs/1710.04792 (2017) - 2016
- [i3]Wenwen Min, Juan Liu, Shi-Hua Zhang:
L0-norm Sparse Graph-regularized SVD for Biclustering. CoRR abs/1603.06035 (2016) - [i2]Wenwen Min, Juan Liu, Shihua Zhang:
Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery. CoRR abs/1609.06480 (2016) - 2015
- [c1]Wenwen Min, Juan Liu, Fei Luo, Shi-Hua Zhang:
A novel two-stage method for identifying microRNA-gene regulatory modules in breast cancer. BIBM 2015: 151-156 - [i1]Shihua Zhang, Guanghua Hu, Wenwen Min:
A neurodynamic framework for local community extraction in networks. CoRR abs/1511.09368 (2015)
Coauthor Index
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