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Posts
人工智能的基石是数学
Date:
2024-06-22，在第十一届，数学、计算机与生命科学交叉研究青年论坛上，中国科学院院士，西安交通大学教授徐宗本则以《大模型的极限理论：解读智能涌现现象》为题，给我们分享了数学在人工智能发展中的重要性。徐院士报告真是太精彩了，我与学生听完之后，斗志昂昂，决心在自己的领域投身大模型应用。
周鸿祎推荐人工智能、能源和生物学专业
Date:
2024-06-10：周鸿祎认为是大模型和人工智能，互联网涉及千家万户，将赋能传统行业转型。对于未来社会需要什么类型人才、当前高考生应选择什么专业，周鸿祎推荐人工智能、能源和生物学，并强调其实拥有探索心、好奇心、持续学习和解决问题的能力更重要，“专业不重要。”张朝阳则推荐数学专业，因为学好数学未来可以向各个方向转行。他建议报专业不要随大流被主流观念束缚，女生喜欢理科就报理科，男生喜欢文科也可以选择文科。
医学人工智能期刊及会议列表
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生物信息领域杂志
计算空间组学的未来与挑战
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如何制作论文中漂亮的图及电脑小技巧
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portfolio
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publications
A novel two-stage method for identifying microRNA- gene regulatory modules in breast cancer
Published in IEEE International Conference on Bioinformatics and Biomedicine, 2015
Recommended citation: 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)
A two-stage method to identify joint modules from matched microRNA and mRNA expression data
Published in IEEE Transactions on Nanobioscience, 2016
Recommended citation: 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)
Network-regularized sparse logistic regression models for clinical risk prediction and biomarker discovery
Published in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016
Recommended citation: 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）
Sparse weighted canonical correlation Analysis
Published in Chinese Journal of Electronics, 2018
Recommended citation: 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)
Edge-group sparse PCA for network-guided high dimensional data analysis
Published in Bioinformatics, 2018
Recommended citation: 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）
Group-sparse SVD Models via L0 and L1-norm Penalties and Their Applications in Biological Data
Published in IEEE Transactions on Knowledge and Data Engineering, 2021
Recommended citation: 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)
TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers
Published in PLoS Computational Biology, 2021
TSCCA：一种用于从多种癌症中检测 microRNA-基因模式的张量稀疏 CCA 方法
Recommended citation: 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)
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis
Published in IEEE Transactions on Neural Networks and Learning Systems, 2022
Recommended citation: 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)
Multimodal attention-based variational autoencoder for clinical risk prediction
Published in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
Recommended citation: 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%)
TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis
Published in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
Recommended citation: 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%)
TsImpute: An accurate two-step imputation method for single-cell RNA-seq data
Published in Bioinformatics, 2023
Recommended citation: 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)
Structured Sparse Non-negative Matrix Factorization with L20-Norm
Published in IEEE Transactions on Knowledge and Data Engineering, 2023
Recommended citation: 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)
Multimodal contrastive learning for spatial gene expression prediction using histology images
Published in Briefings in Bioinformatics, 2024
mclSTExp: 基于组织学图像的空间基因表达预测的多模态对比学习 PDF
Recommended citation: 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)
SpaDiT: Diffusion Transformer for Spatial Gene Expression Prediction using scRNA-seq
Published in Briefings in Bioinformatics, 2024
SpaDiT：用于空间基因表达预测的扩散变换器（Diffusion Transformer）结合 scRNA-seq 数据 PDF
Recommended citation: 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)
Inferring single-cell resolution spatial gene expression via fusing spot-based spatial transcriptomics, location and histology using GCN
Published in Briefings in Bioinformatics, 2025
scstGCN: 通过结合基于空间位点的空间转录组学、位置信息和组织学图像，利用图卷积网络（GCN）推断单细胞分辨率的空间基因表达 PDF
Recommended citation: 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)
software
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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