Guizhen Mai

According to our database, Guizhen Mai authored at least 17 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Evolutionary constrained optimization based on causal random forest.

Yinghan Hong, Sirui Liang, Jiahao Lian, Guizhen Mai, Liang Zhao, Yueting Xu, Yi Xiang, Hao Zhang, Fangqing Liu, Zhifeng Hao

Expert Syst. Appl., 2026

Fixed-time synchronization of delayed inertial neural networks with impulsive control via two pinning rules.

Tao Chen, Shiguo Peng, Zhiwen Fu, Ruitao Huang, Guizhen Mai

Commun. Nonlinear Sci. Numer. Simul., 2026

2025

Fully-Cascaded Spatial-Aware Convolutional Network for Motion Deblurring.

Yinghan Hong, Bishenghui Tao, Qian Wang, Guizhen Mai, Cai Guo

Inf., 2025

Correlation-Strength-Driven Self-Adaptive Strategy Adjustment Algorithm for Constrained Optimization.

Yinghan Hong, Sirui Liang, Guizhen Mai, Yueting Xu, Han Huang, Jiahao Lian, Wei He, Dan Xiang, Yulin Li, Pinghua Chen

Int. J. Swarm Intell. Res., 2025

Microscale search-based algorithm based on time-space transfer for automated test case generation.

Yinghan Hong, Fangqing Liu, Han Huang, Yi Xiang, Xueming Yan, Guizhen Mai

Complex Intell. Syst., 2025

2024

Design of Intelligent Guide System Based on Internet of Things Technology.

Yinghan Hong, Sirui Liang, Guizhen Mai, Jialuo Luo, Ziying Huang, Xingxing Li

Proceedings of the 6th International Conference on Internet of Things, 2024

2023

High-dimensional causal discovery based on heuristic causal partitioning.

Yinghan Hong, Junping Guo, Guizhen Mai, Yingqing Lin, Hao Zhang, Zhifeng Hao, Gengzhong Zheng

Appl. Intell., October, 2023

2020

Optimization of Lennard-Jones clusters by particle swarm optimization with quasi-physical strategy.

Guizhen Mai, Yinghan Hong, Shen Fu, Yingqing Lin, Zhifeng Hao, Han Huang, Yuanhao Zhu

Swarm Evol. Comput., 2020

Fast causal division for supporting robust causal discovery.

Guizhen Mai, Shuiguo Peng, Yinghan Hong, Pinghua Chen

Int. J. Inf. Comput. Secur., 2020

Distinguish Markov Equivalence Classes from Large-Scale Linear Non-Gaussian Data.

Guizhen Mai, Yinghan Hong, Pinghua Chen, Kexi Chen, Han Huang, Gengzhong Zheng

IEEE Access, 2020

Finite-Time Stability and Stabilization of Impulsive Stochastic Delayed Neural Networks With Rous and Rons.

Tao Chen, Shiguo Peng, Yinghan Hong, Guizhen Mai

IEEE Access, 2020

2018

Causal feature selection method based on extended Markov blanket.

Yinghan Hong, Zhifeng Hao, Guizhen Mai, Han Huang

Int. J. Wirel. Mob. Comput., 2018

2017

An efficient algorithm for large-scale causal discovery.

Yinghan Hong, Zhusong Liu, Guizhen Mai

Soft Comput., 2017

Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis.

Guizhen Mai, Yinghan Hong, Shiguo Peng, Yuzhong Peng

IEEE Access, 2017

Fast Causal Division for Supporting High Dimensional Causal Discovery.

Guizhen Mai, Shiguo Peng, Yinghan Hong, Pinghua Chen

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

An Approach for Inferring Causal Directions from Multi-Dimensional Networks.

Yinghan Hong, Zhifeng Hao, Guizhen Mai, Bingfeng Chen, Rui Xie

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2015

A Method of Text Classification Combining Naive Bayes and the Similarity Computing Algorithms.

Yinghan Hong, Guizhen Mai, Hui Zeng, Cai Guo

Proceedings of the Web Technologies and Applications, 2015