Yashuang Mu

According to our database, Yashuang Mu authored at least 25 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

A Kendall's rank correlation coefficient-based decision tree for monotonic classification problem.

Yashuang Mu, Yan Sun, Yi Hu, Lidong Wang, Hongyue Guo, Jingjing Wang

Int. J. Data Sci. Anal., December, 2026

An efficient channel attention-enhanced time-frequency masked autoencoder-based time series anomaly detection method.

Yashuang Mu, Zeng Kong, Maoqing Zhang, Hongyue Guo, Lidong Wang

Appl. Intell., May, 2026

Hybrid multiobjective particle swarm optimization with Q-learning-guided global search for dual-resource distributed heterogeneous hybrid flow-shop scheduling with setup times.

Wenqiang Zhang, Mingzhe Li, Xixi Li, Yashuang Mu, Guohui Zhang, Mitsuo Gen

Expert Syst. Appl., 2026

2025

A Distributed Information Granulation Method for Time Series Clustering.

Yashuang Mu, Tian Liu, Wenqiang Zhang, Hongyue Guo, Lidong Wang, Xiaodong Liu

Concurr. Comput. Pract. Exp., February, 2025

ASE-DETR: adaptive spatial-edge enhanced detection transformer for infrared vehicle-pedestrian detection.

Yuhang Wang, Wenqiang Zhang, Junwei Yu, Mengya Zhang, Yashuang Mu

J. Electronic Imaging, 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

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

2024

Efficient relation extraction via quantum reinforcement learning.

Xianchao Zhu, Yashuang Mu, Xuetao Wang, William Zhu

Complex Intell. Syst., 2024

Granular computing-based time series anomaly pattern detection with semantic interpretation.

Hongyue Guo, Yashuang Mu, Lidong Wang, Xiaodong Liu, Witold Pedrycz

Appl. Soft Comput., 2024

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

Appl. Intell., October, 2023

An adaptive variance vector-based evolutionary algorithm for large scale multi-objective optimization.

Maoqing Zhang, Wuzhao Li, Hao Jin, Liang Zhang, Yashuang Mu, Lei Wang

Neural Comput. Appl., August, 2023

A Pearson correlation-based adaptive variable grouping method for large-scale multi-objective optimization.

Maoqing Zhang, Wuzhao Li, Liang Zhang, Hao Jin, Yashuang Mu, Lei Wang

Inf. Sci., August, 2023

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

Efficient stochastic scheduling for highly complex resource placement in edge clouds.

Wei Wei, Qi Wang, Weidong Yang, Yashuang Mu

J. Netw. Comput. Appl., 2022

Information granulation-based fuzzy partition in decision tree induction.

Yashuang Mu, Jiangyong Wang, Wei Wei, Hongyue Guo, Lidong Wang, Xiaodong Liu

Inf. Sci., 2022

Stochastic Demands Oriented General Resource Scheduling With Burstable Resources.

Wei Wei, Yuying Zhang, Yashuang Mu, Weidong Yang

J. Grid Comput., 2022

2021

Minimum Cut Acceleration by Exploiting Tree-Cut Injection for Upper Bound Estimation.

Wei Wei, Xiaohui Gong, Weidong Yang, Yashuang Mu

IEEE Commun. Lett., 2021

Experimental Study and Comparison of Imbalance Ensemble Classifiers with Dynamic Selection Strategy.

Dongxue Zhao, Xin Wang, Yashuang Mu, Lidong Wang

Entropy, 2021

2020

A parallel fuzzy rule-base based decision tree in the framework of map-reduce.

Yashuang Mu, Xiaodong Liu, Lidong Wang, Juxiang Zhou

Pattern Recognit., 2020

Dynamic programming based fuzzy partition in fuzzy decision tree induction.

Yashuang Mu, Lidong Wang, Xiaodong Liu

J. Intell. Fuzzy Syst., 2020

2019

A parallel tree node splitting criterion for fuzzy decision trees.

Yashuang Mu, Xiaodong Liu, Lidong Wang, Aamer Bilal Asghar

Concurr. Comput. Pract. Exp., 2019

2018

A Pearson's correlation coefficient based decision tree and its parallel implementation.

Yashuang Mu, Xiaodong Liu, Lidong Wang

Inf. Sci., 2018

A fast rank mutual information based decision tree and its implementation via Map-Reduce.

Yashuang Mu, Lidong Wang, Xiaodong Liu

Concurr. Comput. Pract. Exp., 2018

2017

A parallel C4.5 decision tree algorithm based on MapReduce.

Yashuang Mu, Xiaodong Liu, Zhihao Yang, Xiaolin Liu

Concurr. Comput. Pract. Exp., 2017

2013

The Global k-Means Clustering Analysis Based on Multi-Granulations Nearness Neighborhood.

Lidong Wang, Xiaodong Liu, Yashuang Mu

Math. Comput. Sci., 2013