Shuailin Xue, Fangfang Zhu, Jinyu Chen, Wenwen Min(学生一作本人通信). Inferring single-cell resolution spatial gene expression via fusing spot-based spatial transcriptomics, location and histology using GCN. Briefings in Bioinformatics 2025, DOI: 10.1093/bib/bbae630 (CCF B类期刊, 中科院JCR1区, IF=9.5)
Xiaoyu Li, Fangfang Zhu and Wenwen Min(学生一作本人通信). SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq. Briefings in Bioinformatics 2024, DOI: 10.1093/bib/bbae571 (CCF B类期刊, 中科院JCR1区, IF=9.5)
Wenwen Min(一作+通信), Zhiceng Shi, Jun Zhang, Jun Wan and Changmiao Wang. Multimodal contrastive learning for spatial gene expression prediction using histology images. Briefings in Bioinformatics 2024, DOI: 10.1093/bib/bbae551 (CCF B类期刊, 中科院JCR1区, IF=9.5)
W. Min* (闵文文), T. Xu, X. Wan, TH. Chang. Structured Sparse Non-negative Matrix Factorization with L20-Norm. IEEE Transactions on Knowledge and Data Engineering, 35(8):8584-8595, 2023 (中国计算机学会推荐A刊)
Weihua Zheng+, Wenwen Min+ (共一作) and Shunfang Wang. TsImpute: An accurate two-step imputation method for single-cell RNA-seq data. Bioinformatics, 39(12):btad731, 2023 (CCF B期刊, Top期刊)
Xiaoyu Li, Wenwen Min(学生一作本人通信), Jinyu Chen, Jiaxin Wu and Shunfang Wang. TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023 (CCF B类会议, 接收率19%)
Xiaoyu Li, Taosheng Xu, Jinyu Chen, Jun Wan and Wenwen Min(学生一作, 本人通信). Multimodal attention-based variational autoencoder for clinical risk prediction. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023 (CCF B类会议, 接收率19%)
W. Min (闵文文), X. Wan, TH. Chang, S. Zhang*. A Novel Sparse Graph-Regularized Singular Value Decomposition Model for Gene Co-Expression Pattern Discovery. IEEE Transactions on Neural Networks and Learning Systems, 33(8):3842 -3856, 2022 (中科院大类一区，中国自动化学会推荐A刊)
W. Min (闵文文), TH. Chang, S. Zhang*, X. Wan*. TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers. PLoS Computational Biology, 17(6): e1009044, 2021 (中国自动化学会推荐A刊)
W. Min (闵文文), J. Liu*, S. Zhang*. Group-sparse SVD Models via L0 and L1-norm Penalties and Their Applications in Biological Data. IEEE Transactions on Knowledge and Data Engineering, 33(2): 536-550, 2021(中国计算机学会推荐A刊)
W. Min (闵文文), J. Liu*, S. Zhang*. Edge-group sparse PCA for network-guided high dimensional data analysis. Bioinformatics, vol.34, no.20, pp.3479-3487, 2018 （中国自动化学会推荐A刊）
W. Min (闵文文), J. Liu*, S. Zhang. Sparse weighted canonical correlation Analysis. Chinese Journal of Electronics (电子学报英文版) vol.27, no.3, pp.459-466, 2018 (中国计算机学会推荐Top I类期刊)
W. Min (闵文文), J. Liu*, S. Zhang*. Network-regularized sparse logistic regression models for clinical risk prediction and biomarker discovery. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.15, no.3, pp.944-953, 2018（中国计算机学会推荐B刊）
W. Min (闵文文), J. Liu*, F. Luo, S. Zhang*. A two-stage method to identify joint modules from matched microRNA and mRNA expression data. IEEE Transactions on Nanobioscience, vol.15, no.4, pp.362-370, 2016 (中国自动化学会推荐B刊)
W. Min (闵文文), J. Liu*, Fei Luo, S. Zhang*. A novel two-stage method for identifying microRNA- gene regulatory modules in breast cancer. IEEE International Conference on Bioinformatics and Biomedicine, Washington, DC, 2015.11.9- 2015.11.12 (中国计算机学会推荐B类会议)
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California