A Method of Text Classification Combining Naive Bayes and the Similarity Computing Algorithms. - Yinghan Hong; Guizhen Mai; Hui Zeng; Cai Guo (APWeb Workshops, 2015)

An Approach for Inferring Causal Directions from Multi-Dimensional Networks. - Yinghan Hong; Zhifeng Hao; Guizhen Mai; Bingfeng Chen; Rui Xie (CSE/EUC (1), 2017)

Fast Causal Division for Supporting High Dimensional Causal Discovery. - Guizhen Mai; Shiguo Peng; Yinghan Hong; Pinghua Chen (CSE/EUC (1), 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)

An efficient algorithm for large-scale causal discovery. - Yinghan Hong; Zhusong Liu; Guizhen Mai (Soft Comput., 2017)

Causal feature selection method based on extended Markov blanket. - Yinghan Hong; Zhifeng Hao; Guizhen Mai; Han Huang 002 (Int. J. Wirel. Mob. Comput., 2018)

Finite-Time Stability and Stabilization of Impulsive Stochastic Delayed Neural Networks With Rous and Rons. - Tao Chen 039; Shiguo Peng; Yinghan Hong; Guizhen Mai (IEEE Access, 2020)

Distinguish Markov Equivalence Classes from Large-Scale Linear Non-Gaussian Data. - Guizhen Mai; Yinghan Hong; Pinghua Chen; Kexi Chen; Han Huang 002; Gengzhong Zheng (IEEE Access, 2020)

Fast causal division for supporting robust causal discovery. - Guizhen Mai; Shuiguo Peng; Yinghan Hong; Pinghua Chen (Int. J. Inf. Comput. Secur., 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 002; Yuanhao Zhu (Swarm Evol. Comput., 2020)

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., 2023)

Design of Intelligent Guide System Based on Internet of Things Technology. - Yinghan Hong; Sirui Liang; Guizhen Mai; Jialuo Luo; Ziying Huang; Xingxing Li (IoTAAI, 2024)