Gaussian mutational chaotic fruit fly-built optimization and feature selection. - Xiang Zhang; Yueting Xu; Caiyang Yu; Ali Asghar Heidari; Shimin Li; Huiling Chen 001; Chengye Li (Expert Syst. Appl., 2020)

Quantum-like mutation-induced dragonfly-inspired optimization approach. - Caiyang Yu; Zhennao Cai; Xiaojia Ye; Mingjing Wang; Xuehua Zhao; Guoxi Liang; Huiling Chen 001; Chengye Li (Math. Comput. Simul., 2020)

Boosting quantum rotation gate embedded slime mould algorithm. - Caiyang Yu; Ali Asghar Heidari; Xiao Xue; Lejun Zhang; Huiling Chen 001; Weibin Chen (Expert Syst. Appl., 2021)

Deep learning in nuclear industry: A survey. - Chenwei Tang; Caiyang Yu; Yi Gao; Jianming Chen; Jiaming Yang; Jiulin Lang; Chuan Liu; Ling Zhong; Zhenan He 001; Jiancheng Lv 001 (Big Data Min. Anal., 2022)

SGOA: annealing-behaved grasshopper optimizer for global tasks. - Caiyang Yu; Meng-Xiang Chen; Kai Cheng; Xuehua Zhao; Chao Ma 021; Fangjun Kuang; Huiling Chen 001 (Eng. Comput., 2022)

GWQ: Group-Wise Quantization Framework for Neural Networks. - Jiaming Yang; Chenwei Tang; Caiyang Yu; Jiancheng Lv 001 (ACML, 2023)

Power Quality Disturbance Identification Algorithm Based on Empirical Wavelet Transform And Time-Domain Kurtosis Feature Analysis. - Chi Zhang; Yizhi Zhu; Caiyang Yu; Jiawei Bao; Qingsong Wang; Giuseppe Buja (ISIE, 2023)

GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model. - Caiyang Yu; Xianggen Liu; Wentao Feng; Chenwei Tang; Jiancheng Lv 001 (CoRR, 2023)

Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation. - Chenwei Tang; Wenqiang Zhou; Dong Wang; Caiyang Yu; Zhenan He 001; Jizhe Zhou; Shudong Huang; Yi Gao; Jianming Chen; Wentao Feng; Jiancheng Lv 001 (CoRR, 2023)

EU-Net: Automatic U-Net neural architecture search with differential evolutionary algorithm for medical image segmentation. - Caiyang Yu; Yixi Wang; Chenwei Tang; Wentao Feng; Jiancheng Lv 001 (Comput. Biol. Medicine, 2023)

GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model. - Caiyang Yu; Xianggen Liu; Yifan Wang; Yun Liu; Wentao Feng; Xiong Deng; Chenwei Tang; Jiancheng Lv 001 (Big Data Min. Anal., 2025)

Rethinking neural architecture representation for predictors: Topological encoding in pixel space. - Caiyang Yu; Jian Wang; Yifan Wang; Wei Ju 001; Chenwei Tang; Jiancheng Lv 001 (Inf. Fusion, 2025)

Evolution Meets Diffusion: Efficient Neural Architecture Generation. - Bingye Zhou; Caiyang Yu (CoRR, 2025)