Caiyang Yu

According to our database, Caiyang Yu authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bones to identity: Generative contrastive fusion for cross-modality medical person identification from skeletal data.

Chaoqun Niu, Dongdong Chen, Jizhe Zhou, Jian Wang, Quan-Hui Liu, Caiyang Yu, Yuan Li, Wei Ju, Jiancheng Lv

Pattern Recognit., 2026

Towards distribution-aware active learning for data-efficient neural architecture predictor.

Caiyang Yu, Yi-Fan Wang, Chenwei Tang, Wei Ju, Xianggen Liu, Jiancheng Lv

Inf. Process. Manag., 2026

2025

Partial Differential Equations Meet Deep Neural Networks: A Survey.

Shudong Huang, Wentao Feng, Chenwei Tang, Zhenan He, Caiyang Yu, Jiancheng Lv

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Evolution Meets Diffusion: Efficient Neural Architecture Generation.

Bingye Zhou, Caiyang Yu

CoRR, April, 2025

Rethinking neural architecture representation for predictors: Topological encoding in pixel space.

Caiyang Yu, Jian Wang, Yifan Wang, Wei Ju, Chenwei Tang, Jiancheng Lv

Inf. Fusion, 2025

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

Big Data Min. Anal., 2025

Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval.

Yifan Wang, Tao Wang, Chenwei Tang, Caiyang Yu, Zhengqing Zang, Mengmi Zhang, Shudong Huang, Jiancheng Lv

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

Comput. Biol. Medicine, December, 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, Jizhe Zhou, Shudong Huang, Yi Gao, Jianming Chen, Wentao Feng, Jiancheng Lv

CoRR, 2023

GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model.

Caiyang Yu, Xianggen Liu, Wentao Feng, Chenwei Tang, Jiancheng Lv

CoRR, 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

Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

GWQ: Group-Wise Quantization Framework for Neural Networks.

Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv

Proceedings of the Asian Conference on Machine Learning, 2023

Graph-level Anomaly Detection via Deep Metric Learning.

Lin Yu, Chenwei Tang, Caiyang Yu, Jiancheng Lv

Proceedings of the 6th International Conference on Algorithms, 2023

2022

SGOA: annealing-behaved grasshopper optimizer for global tasks.

Caiyang Yu, Meng-Xiang Chen, Kai Cheng, Xuehua Zhao, Chao Ma, Fangjun Kuang, Huiling Chen

Eng. Comput., 2022

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, Jiancheng Lv

Big Data Min. Anal., 2022

2021

Boosting quantum rotation gate embedded slime mould algorithm.

Caiyang Yu, Ali Asghar Heidari, Xiao Xue, Lejun Zhang, Huiling Chen, Weibin Chen

Expert Syst. Appl., 2021

2020

Quantum-like mutation-induced dragonfly-inspired optimization approach.

Caiyang Yu, Zhennao Cai, Xiaojia Ye, Mingjing Wang, Xuehua Zhao, Guoxi Liang, Huiling Chen, Chengye Li

Math. Comput. Simul., 2020

Gaussian mutational chaotic fruit fly-built optimization and feature selection.

Xiang Zhang, Yueting Xu, Caiyang Yu, Ali Asghar Heidari, Shimin Li, Huiling Chen, Chengye Li

Expert Syst. Appl., 2020