The Global k-Means Clustering Analysis Based on Multi-Granulations Nearness Neighborhood. - Lidong Wang; Xiaodong Liu 001; Yashuang Mu (Math. Comput. Sci., 2013)

A parallel C4.5 decision tree algorithm based on MapReduce. - Yashuang Mu; Xiaodong Liu 001; Zhihao Yang; Xiaolin Liu (Concurr. Comput. Pract. Exp., 2017)

A fast rank mutual information based decision tree and its implementation via Map-Reduce. - Yashuang Mu; Lidong Wang; Xiaodong Liu 001 (Concurr. Comput. Pract. Exp., 2018)

A Pearson's correlation coefficient based decision tree and its parallel implementation. - Yashuang Mu; Xiaodong Liu 001; Lidong Wang (Inf. Sci., 2018)

A parallel tree node splitting criterion for fuzzy decision trees. - Yashuang Mu; Xiaodong Liu 001; Lidong Wang; Aamer Bilal Asghar (Concurr. Comput. Pract. Exp., 2019)

Dynamic programming based fuzzy partition in fuzzy decision tree induction. - Yashuang Mu; Lidong Wang; Xiaodong Liu 001 (J. Intell. Fuzzy Syst., 2020)

A parallel fuzzy rule-base based decision tree in the framework of map-reduce. - Yashuang Mu; Xiaodong Liu 001; Lidong Wang; Juxiang Zhou (Pattern Recognit., 2020)

Experimental Study and Comparison of Imbalance Ensemble Classifiers with Dynamic Selection Strategy. - Dongxue Zhao; Xin Wang 074; Yashuang Mu; Lidong Wang (Entropy, 2021)

Minimum Cut Acceleration by Exploiting Tree-Cut Injection for Upper Bound Estimation. - Wei Wei 016; Xiaohui Gong; Weidong Yang; Yashuang Mu (IEEE Commun. Lett., 2021)

Stochastic Demands Oriented General Resource Scheduling With Burstable Resources. - Wei Wei 016; Yuying Zhang; Yashuang Mu; Weidong Yang (J. Grid Comput., 2022)

Information granulation-based fuzzy partition in decision tree induction. - Yashuang Mu; Jiangyong Wang; Wei Wei; Hongyue Guo; Lidong Wang; Xiaodong Liu 001 (Inf. Sci., 2022)

Efficient stochastic scheduling for highly complex resource placement in edge clouds. - Wei Wei 016; Qi Wang; Weidong Yang; Yashuang Mu (J. Netw. Comput. Appl., 2022)

Disparity refinement based on least square support vector machine for stereo matching. - Zihao Zhang; Xufeng Wang; Junwei Yu; Yashuang Mu (Signal Image Video Process., 2022)

A Pearson correlation-based adaptive variable grouping method for large-scale multi-objective optimization. - Maoqing Zhang; Wuzhao Li; Liang Zhang 034; Hao Jin; Yashuang Mu; Lei Wang 006 (Inf. Sci., 2023)

An adaptive variance vector-based evolutionary algorithm for large scale multi-objective optimization. - Maoqing Zhang; Wuzhao Li; Hao Jin; Liang Zhang 034; Yashuang Mu; Lei Wang 006 (Neural Comput. Appl., 2023)

A dynamic programming-based data-adaptive information granulation approach and its distributed implementation. - Yashuang Mu; Kai Hou; Zihao Zhang; Hongyue Guo; Lidong Wang; Xiaodong Liu 001 (Appl. Intell., 2023)

Granular computing-based time series anomaly pattern detection with semantic interpretation. - Hongyue Guo; Yashuang Mu; Lidong Wang; Xiaodong Liu 001; Witold Pedrycz (Appl. Soft Comput., 2024)

Multi-stage hybrid multiobjective evolutionary algorithm for multi-type vehicle routing problem with simultaneous pickup and delivery and time windows. - Wenqiang Zhang; Shun Li; Miaolei Deng; Yashuang Mu; Peng Li (Comput. Ind. Eng., 2025)

LFGS: A lightweight framework for efficient 3D Gaussian Splatting with minimal memory footprint. - Ruiqi Wu; Linlin Jiao; Gang Liu; Li Zhu; Xuan Fei; Yashuang Mu; Chao Fan (Comput. Graph., 2025)

A Distributed Information Granulation Method for Time Series Clustering. - Yashuang Mu; Tian Liu; Wenqiang Zhang; Hongyue Guo; Lidong Wang; Xiaodong Liu 001 (Concurr. Comput. Pract. Exp., 2025)