Sparse gene expression data analysis based on truncated power. - Ningmin Shen; Jing Li 077; Cheng Jin; Peiyun Zhou (BIBM, 2014)

Improved structured sparse PCA for cluster-based co-saliency detection. - Ningmin Shen; Jing Li 077 (ICIMCS, 2015)

一种基于稀疏主成分的基因表达数据特征提取方法 (Feature Extraction Method Based on Sparse Principal Components for Gene Expression Data). - Ningmin Shen; Jing Li 077; Peiyun Zhou; Yi Zhuang 002 (计算机科学, 2015)

BSFCoS: 基于分块与稀疏主特征提取的快速协同显著性检测 (BSFCoS: Fast Co-saliency Detection Based on Block and Sparse Principal Feature Extraction). - Peiyun Zhou; Jing Li 077; Ningmin Shen; Yi Zhuang 002 (计算机科学, 2015)

BSFCoS: Block and Sparse Principal Component Analysis-Based Fast Co-Saliency Detection Method. - Ningmin Shen; Jing Li 077; Peiyun Zhou; Ying Huo; Yi Zhuang 002 (Int. J. Pattern Recognit. Artif. Intell., 2016)

基于Uppaal的实时系统AADL数据流模型的转换与验证 (Transformation and Verification Method of AADL Data Flows for Real-time System Using Uppaal). - Ningmin Shen; Jing Li 077; Haiyang Bai; Yi Zhuang 002 (计算机科学, 2016)

Feature Selection Algorithm based on Sparse Effective Distance combined with sPCA for Microarray Data. - Ningmin Shen; Yaqiong Fan; Peng Long (EITCE, 2020)