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ORCIDYinghan Hong
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2020 – today
- 2024
[c4]Yinghan Hong, Sirui Liang, Guizhen Mai, Jialuo Luo, Ziying Huang, Xingxing Li:
Design of Intelligent Guide System Based on Internet of Things Technology. IoTAAI 2024: 386-390- 2023
- [j9]Yinghan Hong, Junping Guo
, Guizhen Mai, Yingqing Lin, Hao Zhang, Zhifeng Hao, Gengzhong Zheng:
High-dimensional causal discovery based on heuristic causal partitioning. Appl. Intell. 53(20): 23768-23796 (2023) - 2020
- [j8]Guizhen Mai, Yinghan Hong, Pinghua Chen, Kexi Chen, Han Huang, Gengzhong Zheng:
Distinguish Markov Equivalence Classes from Large-Scale Linear Non-Gaussian Data. IEEE Access 8: 10924-10932 (2020) - [j7]Tao Chen, Shiguo Peng, Yinghan Hong, Guizhen Mai:
Finite-Time Stability and Stabilization of Impulsive Stochastic Delayed Neural Networks With Rous and Rons. IEEE Access 8: 87133-87141 (2020) - [j6]Guizhen Mai, Shuiguo Peng, Yinghan Hong, Pinghua Chen:
Fast causal division for supporting robust causal discovery. Int. J. Inf. Comput. Secur. 13(3/4): 289-308 (2020) - [j5]Guizhen Mai, Yinghan Hong, Shen Fu, Yingqing Lin, Zhifeng Hao, Han Huang, Yuanhao Zhu:
Optimization of Lennard-Jones clusters by particle swarm optimization with quasi-physical strategy. Swarm Evol. Comput. 57: 100710 (2020)
2010 – 2019
- 2019
- [j4]Xiao-Peng Yang, Xue-Gang Zhou, Bing-Yuan Cao, Yinghan Hong:
Variable Substitution Method for Solving Single-Variable Term Fuzzy Relation Geometric Programming Problem and Its Application. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(4): 537-557 (2019) - 2018
- [j3]Yinghan Hong, Zhifeng Hao, Guizhen Mai, Han Huang:
Causal feature selection method based on extended Markov blanket. Int. J. Wirel. Mob. Comput. 15(4): 310-317 (2018) - 2017
- [j2]Guizhen Mai, Yinghan Hong, Shiguo Peng, Yuzhong Peng:
Inferring Causal Direction From Multi-Dimensional Causal Networks for Assessing Harmful Factors in Security Analysis. IEEE Access 5: 20009-20019 (2017) - [j1]Yinghan Hong, Zhusong Liu, Guizhen Mai:
An efficient algorithm for large-scale causal discovery. Soft Comput. 21(24): 7381-7391 (2017) - [c3]Guizhen Mai, Shiguo Peng, Yinghan Hong, Pinghua Chen:
Fast Causal Division for Supporting High Dimensional Causal Discovery. CSE/EUC (1) 2017: 291-296 - [c2]Yinghan Hong, Zhifeng Hao, Guizhen Mai, Bingfeng Chen, Rui Xie:
An Approach for Inferring Causal Directions from Multi-Dimensional Networks. CSE/EUC (1) 2017: 388-392 - 2015
- [c1]Yinghan Hong, Guizhen Mai, Hui Zeng, Cai Guo:
A Method of Text Classification Combining Naive Bayes and the Similarity Computing Algorithms. APWeb Workshops 2015: 3-14
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