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Wenliang Cao
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2020 – today
- 2024
- [j14]Lanlan Kang, Yu Lai, Jia Wang, Wenliang Cao:
A Pacesetter-Lévy multi-objective particle swarm optimization with Arnold Chaotic Map with opposition-based learning. Inf. Sci. 678: 121048 (2024) - [j13]Wenliang Cao, Yong Wang, Zhen Wang, Jin Chai, Han Wang, Liangguang Yue, Yi Wang, Jing Zhao:
A Dual Scalar Magnetic Target Localization Method Using Anderson Basis Functions and Cuckoo-Search-Based Spiral Update. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j12]Han Wang
, Wenliang Cao
Nonsingular Calculation of Global Magnetic Gradient Tensor Based on Oblate Spheroidal Harmonics Representation. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - 2023
- [j11]Shanshan Ji, Jianxin Li, Jie Liu, Wenliang Cao, Bin Li, Fei Jiang, Yang Liu:
Mobile visual search algorithm based on improved VGG-F and hash with application in IoT. Int. J. Grid Util. Comput. 14(2/3): 94-106 (2023) - [j10]Lanlan Kang, Naiwei Liu, Wenliang Cao, Yeh-Cheng Chen:
Many-objective particle swarm optimisation algorithm based on multi-elite opposition mutation mechanism in the internet of things environment. Int. J. Grid Util. Comput. 14(2/3): 107-121 (2023) - [j9]Lanlan Kang, Xing Zhong, Wenliang Cao, Jianxin Li:
A modified multi-objective particle swarm optimisation with entropy adaptive strategy and Levy mutation in the internet of things environment. Int. J. Grid Util. Comput. 14(2/3): 169-181 (2023) - [j8]Jianxin Li, Jie Liu, Chao Li, Wenliang Cao, Bin Li, Fei Jiang, Jinyu Huang, Yingxia Guo, Yang Liu:
Violence Detection Method Based on Convolution Neural Network and Trajectory. J. Inf. Sci. Eng. 39(4): 777-796 (2023) - [j7]Yanjun Zhu, Ting Zhu, Jianxin Li, Wenliang Cao, Peng Yong, Fei Jiang, Jie Liu:
Classify Text-based Email Using Naive Bayes Method With Small Sample. J. Inf. Sci. Eng. 39(4): 855-868 (2023) - 2022
- [j6]Lanlan Kang, Naiwei Liu, Xinrong Lu, Wenliang Cao, Yong Peng:
A back-diffusion median integrated evolutionary optimization algorithm. Inf. Sci. 610: 144-155 (2022) - [j5]Ting Zhu, Wen Qu, Wenliang Cao:
An optimized image watermarking algorithm based on SVD and IWT. J. Supercomput. 78(1): 222-237 (2022) - 2021
- [j4]Lanlan Kang, Wenliang Cao, Ruey-Shun Chen, Yeh-Cheng Chen:
An adaptively reversed diffusion dual-drive evolutionary algorithm in dynamic environments for intelligence prediction. Appl. Soft Comput. 110: 107761 (2021) - [j3]Wenliang Cao, Lanlan Kang, Zu-Wen Liu:
Dual-drive opposition-based non-inertial particle swarm optimization for deep learning in IoTs. J. Supercomput. 77(7): 7440-7454 (2021) - 2020
- [j2]Lanlan Kang
Non-inertial opposition-based particle swarm optimization and its theoretical analysis for deep learning applications. Appl. Soft Comput. 88: 106038 (2020) - [j1]Lanlan Kang, Ruey-Shun Chen, Wenliang Cao, Yeh-Cheng Chen, Yu-Xi Hu:
Mechanism analysis of non-inertial particle swarm optimization for Internet of Things in edge computing. Eng. Appl. Artif. Intell. 94: 103803 (2020)
2010 – 2019
- 2018
- [c4]Lanlan Kang, Ruey-Shun Chen, Yeh-Cheng Chen, Wenliang Cao:
Using Naïve Bayes Method to Classify Text-Based Email. PAAP 2018: 94-98 - 2011
- [c3]Wenliang Cao, Dingxiu He, Xuanzi Hu:
IT talent demand forecast and research in Dongguan based on Grey System Theory. EMEIT 2011: 1219-1222 - [c2]Wenliang Cao, Xuanzi Hu, Chongjie Dong:
Research of the mining algorithm based on distributed database. FSKD 2011: 1252-1256
2000 – 2009
- 2005
- [c1]Bingshu Wang, Wenliang Cao, Liangyu Ma
Fault Diagnosis Approach Based on Qualitative Model of Signed Directed Graph and Reasoning Rules. FSKD (2) 2005: 339-343
Coauthor Index
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