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Caiyang Yu
Caiyang Yu
在 stu.scu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Gaussian mutational chaotic fruit fly-built optimization and feature selection
X Zhang, Y Xu, C Yu, AA Heidari, S Li, H Chen, C Li
Expert Systems with Applications 141, 112976, 2020
2112020
SGOA: annealing-behaved grasshopper optimizer for global tasks
C Yu, M Chen, K Cheng, X Zhao, C Ma, F Kuang, H Chen
Engineering with Computers 38 (Suppl 5), 3761-3788, 2022
1552022
A quantum-behaved simulated annealing algorithm-based moth-flame optimization method
C Yu, AA Heidari, H Chen
Applied Mathematical Modelling 87, 1-19, 2020
712020
Boosting quantum rotation gate embedded slime mould algorithm
C Yu, AA Heidari, X Xue, L Zhang, H Chen, W Chen
Expert Systems with Applications 181, 115082, 2021
702021
Quantum-like mutation-induced dragonfly-inspired optimization approach
C Yu, Z Cai, X Ye, M Wang, X Zhao, G Liang, H Chen, C Li
Mathematics and Computers in Simulation 178, 259-289, 2020
382020
Deep learning in nuclear industry: A survey
C Tang, C Yu, Y Gao, J Chen, J Yang, J Lang, C Liu, L Zhong, Z He, J Lv
Big Data Mining and Analytics 5 (2), 140-160, 2022
222022
Gpt-nas: Neural architecture search with the generative pre-trained model
C Yu, X Liu, C Tang, W Feng, J Lv
arXiv preprint arXiv:2305.05351, 2023
112023
EU-Net: Automatic U-Net neural architecture search with differential evolutionary algorithm for medical image segmentation
C Yu, Y Wang, C Tang, W Feng, J Lv
Computers in Biology and Medicine 167, 107579, 2023
92023
GWQ: Group-Wise Quantization Framework for Neural Networks
J Yang, C Tang, C Yu, J Lv
Asian Conference on Machine Learning, 1526-1541, 2024
2024
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation
C Tang, W Zhou, D Wang, C Yu, Z He, J Zhou, S Huang, Y Gao, J Chen, ...
arXiv preprint arXiv:2311.04247, 2023
2023
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