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Dr. Weipeng Cao
Dr. Weipeng Cao
Associate Researcher, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen)
Подтвержден адрес электронной почты в домене gml.ac.cn
Название
Процитировано
Процитировано
Год
A review on neural networks with random weights
W Cao, X Wang, Z Ming, J Gao
Neurocomputing 275, 278-287, 2018
5242018
Formal analysis of 5G EAP-TLS authentication protocol using proverif
J Zhang, L Yang, W Cao, Q Wang
IEEE access 8, 23674-23688, 2020
752020
Non-iterative approaches in training feed-forward neural networks and their applications
W Xizhao, C Weipeng
Soft Computing 22 (11), 3473–3476, 2018
542018
Bidirectional stochastic configuration network for regression problems
W Cao, Z Xie, J Li, Z Xu, Z Ming, X Wang
Neural Networks 140, 237-246, 2021
532021
Some tricks in parameter selection for extreme learning machine
W Cao, J Gao, Z Ming, S Cai
IOP conference series: materials science and engineering 261 (1), 012002, 2017
492017
A study on the relationship between the rank of input data and the performance of random weight neural network
W Cao, L Hu, J Gao, X Wang, Z Ming
Neural Computing and Applications 32 (16), 12685-12696, 2020
362020
Online sequential extreme learning machine with dynamic forgetting factor
W Cao, Z Ming, Z Xu, J Zhang, Q Wang
IEEE access 7, 179746-179757, 2019
362019
Improved bidirectional extreme learning machine based on enhanced random search
W Cao, Z Ming, X Wang, S Cai
Memetic Computing 11, 19-26, 2019
352019
A review on multimodal zero‐shot learning
W Cao, Y Wu, Y Sun, H Zhang, J Ren, D Gu, X Wang
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023
312023
Fuzziness based semi-supervised multimodal learning for patient’s activity recognition using RGBDT videos
MJA Patwary, W Cao, XZ Wang, MA Haque
Applied Soft Computing 120, 108655, 2022
302022
Fuzziness-based online sequential extreme learning machine for classification problems
W Cao, J Gao, Z Ming, S Cai, Z Shan
Soft Computing 22, 3487-3494, 2018
302018
An initial study on the relationship between meta features of dataset and the initialization of NNRW
W Cao, MJA Patwary, P Yang, X Wang, Z Ming
2019 international joint conference on neural networks (IJCNN), 1-8, 2019
292019
A comparative study of neural network techniques for automatic software vulnerability detection
G Tang, L Meng, H Wang, S Ren, Q Wang, L Yang, W Cao
2020 International symposium on theoretical aspects of software engineering …, 2020
252020
MFF: Multi-modal feature fusion for zero-shot learning
W Cao, Y Wu, C Huang, MJA Patwary, X Wang
Neurocomputing 510, 172-180, 2022
242022
Research progress of zero-shot learning beyond computer vision
W Cao, C Zhou, Y Wu, Z Ming, Z Xu, J Zhang
Algorithms and Architectures for Parallel Processing: 20th International …, 2020
242020
An improved fuzziness based random vector functional link network for liver disease detection
W Cao, P Yang, Z Ming, S Cai, J Zhang
2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity …, 2020
232020
Impact of probability distribution selection on RVFL performance
W Cao, J Gao, Z Ming, S Cai, H Zheng
Smart Computing and Communication: Second International Conference, SmartCom …, 2018
232018
A further study on biologically inspired feature enhancement in zero-shot learning
Z Xie, W Cao, Z Ming
International Journal of Machine Learning and Cybernetics 12 (1), 257-269, 2021
222021
Fuzziness based random vector functional-link network for semi-supervised learning
W Cao, J Gao, Z Ming, S Cai, Z Shan
2017 International Conference on Computational Science and Computational …, 2017
202017
A novel dataset-specific feature extractor for zero-shot learning
Y Luo, X Wang, W Cao
Neurocomputing 391, 74-82, 2020
172020
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Статьи 1–20