Hierarchical clustering algorithm for categorical data using a probabilistic rough set model. - Min Li 020; Shaobo Deng; Lei Wang 191; Shengzhong Feng; Jianping Fan 002 (Knowl. Based Syst., 2014)

Decomposition for a new kind of imprecise information system. - Shaobo Deng; Sujie Guan; Min Li 020; Lei Wang 191; Yuefei Sui (Frontiers Comput. Sci., 2018)

Dynamic Knowledge Update Using Three-Way Decisions in Dominance-Based Rough Sets Approach While the Object Set Varies. - Lei Wang 191; Min Li 020; Jun Ye; Xiang Yu 006; Ziqi Wang; Shaobo Deng (Int. J. Comput. Intell. Syst., 2019)

Probabilistic rough set-based band selection method for hyperspectral data classification. - Min Li 020; Shaobo Deng; Lei Wang 191; Jun Ye (Int. J. Comput. Sci. Eng., 2020)

Ensemble of Classifiers Constructed on Class-Oriented Attribute Reduction. - Min Li 020; Shaobo Deng; Lei Wang 191 (J. Inf. Process. Syst., 2020)

ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification. - Min Li 020; An Xiong; Lei Wang 191; Shaobo Deng; Jun Ye (Knowl. Based Syst., 2020)

RFCBF: Enhance the Performance and Stability of Fast Correlation-Based Filter. - Xiongshi Deng; Min Li 020; Lei Wang 191; Qikang Wan (Int. J. Comput. Intell. Appl., 2022)

Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification. - Xiongshi Deng; Min Li 020; Shaobo Deng; Lei Wang 191 (Medical Biol. Eng. Comput., 2022)

A novel hybrid gene selection for tumor identification by combining multifilter integration and a recursive flower pollination search algorithm. - Min Li 020; Lin Ke; Lei Wang 191; Shaobo Deng; Xiang Yu 006 (Knowl. Based Syst., 2023)

Improved swarm-optimization-based filter-wrapper gene selection from microarray data for gene expression tumor classification. - Lin Ke; Min Li 020; Lei Wang 191; Shaobo Deng; Jun Ye; Xiang Yu 006 (Pattern Anal. Appl., 2023)

TRF-WGHC - Top-Ranking filter and wrapper-based greedy hill-climbing gene selection for microarray-based cancer classification. - Min Li 020; Mingzhu Lou; Shaobo Deng; Lei Wang 191 (Biomed. Signal Process. Control., 2023)

Non-parametric Nearest Neighbor Classification Based on Global Variance Difference. - Shaobo Deng; Lei Wang 191; Sujie Guan; Min Li 020 (Int. J. Comput. Intell. Syst., 2023)

Roulette wheel-based level learning evolutionary algorithm for feature selection of high-dimensional data. - Huan Ma; Min Li 020; Siyu Lv; Lei Wang 191; Shaobo Deng (Appl. Soft Comput., 2024)

MOSDNET: A multi-omics classification framework using simplified multi-view deep discriminant representation learning and dynamic edge GCN with multi-task learning. - Min Li 020; Zihao Chen; Shaobo Deng; Lei Wang 191; Xiang Yu 006 (Comput. Biol. Medicine, 2024)

NNBGWO-BRCA marker: Neural Network and binary grey wolf optimization based Breast cancer biomarker discovery framework using multi-omics dataset. - Min Li 020; Yuheng Cai; Mingzhuang Zhang; Shaobo Deng; Lei Wang 191 (Comput. Methods Programs Biomed., 2024)

A multitasking multi-objective differential evolution gene selection algorithm enhanced with new elite and guidance strategies for tumor identification. - Min Li 020; Yangfan Zhao; Mingzhu Lou; Shaobo Deng; Lei Wang 191 (Expert Syst. Appl., 2024)

Enhanced NSGA-II-based feature selection method for high-dimensional classification. - Min Li 020; Huan Ma; Siyu Lv; Lei Wang 191; Shaobo Deng (Inf. Sci., 2024)

PRNN: Pareto-Guided recursive neural network embedded approach for biomarker discovery in breast cancer multi-omics dataset. - Min Li 020; Yuheng Cai; Chen Jin; Shaobo Deng; Lei Wang 191 (Expert Syst. Appl., 2025)