Caiyang Yu - RankMe

17 papers A* 1C 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval. ACM Multimedia Yifan Wang, Tao Wang, Chenwei Tang, Caiyang Yu, Zhengqing Zang, Mengmi Zhang, Shudong Huang, Jiancheng Lv
2025	J	`jnl`	Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval. CoRR Yifan Wang, Tao Wang, Chenwei Tang, Caiyang Yu, Zhengqing Zang, Mengmi Zhang, Shudong Huang, Jiancheng Lv
2025	J	`jnl`	Evolution Meets Diffusion: Efficient Neural Architecture Generation. CoRR Bingye Zhou, Caiyang Yu
2025	J	`jnl`	GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model. Big Data Min. Anal. Caiyang Yu, Xianggen Liu, Yifan Wang, Yun Liu, Wentao Feng, Xiong Deng, Chenwei Tang, Jiancheng Lv
2025	J	`jnl`	Partial Differential Equations Meet Deep Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. Shudong Huang, Wentao Feng, Chenwei Tang, Zhenan He, Caiyang Yu, Jiancheng Lv
2025	J	`jnl`	Rethinking neural architecture representation for predictors: Topological encoding in pixel space. Inf. Fusion Caiyang Yu, Jian Wang, Yifan Wang, Wei Ju, Chenwei Tang, Jiancheng Lv
2023	J	`jnl`	Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation. CoRR Chenwei Tang, Wenqiang Zhou, Dong Wang, Caiyang Yu, Zhenan He, Jizhe Zhou, Shudong Huang, Yi Gao, Jianming Chen, Wentao Feng, Jiancheng Lv
2023	J	`jnl`	EU-Net: Automatic U-Net neural architecture search with differential evolutionary algorithm for medical image segmentation. Comput. Biol. Medicine Caiyang Yu, Yixi Wang, Chenwei Tang, Wentao Feng, Jiancheng Lv
2023	J	`jnl`	GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model. CoRR Caiyang Yu, Xianggen Liu, Wentao Feng, Chenwei Tang, Jiancheng Lv
2023	C	`conf`	GWQ: Group-Wise Quantization Framework for Neural Networks. ACML Jiaming Yang, Chenwei Tang, Caiyang Yu, Jiancheng Lv
2023	—	`conf`	Graph-level Anomaly Detection via Deep Metric Learning. ACAI Lin Yu, Chenwei Tang, Caiyang Yu, Jiancheng Lv
2023	—	`conf`	Power Quality Disturbance Identification Algorithm Based on Empirical Wavelet Transform And Time-Domain Kurtosis Feature Analysis. ISIE Chi Zhang, Yizhi Zhu, Caiyang Yu, Jiawei Bao, Qingsong Wang, Giuseppe Buja
2022	J	`jnl`	Deep learning in nuclear industry: A survey. Big Data Min. Anal. Chenwei Tang, Caiyang Yu, Yi Gao, Jianming Chen, Jiaming Yang, Jiulin Lang, Chuan Liu, Ling Zhong, Zhenan He, Jiancheng Lv
2022	J	`jnl`	SGOA: annealing-behaved grasshopper optimizer for global tasks. Eng. Comput. Caiyang Yu, Meng-Xiang Chen, Kai Cheng, Xuehua Zhao, Chao Ma, Fangjun Kuang, Huiling Chen
2021	J	`jnl`	Boosting quantum rotation gate embedded slime mould algorithm. Expert Syst. Appl. Caiyang Yu, Ali Asghar Heidari, Xiao Xue, Lejun Zhang, Huiling Chen, Weibin Chen
2020	J	`jnl`	Gaussian mutational chaotic fruit fly-built optimization and feature selection. Expert Syst. Appl. Xiang Zhang, Yueting Xu, Caiyang Yu, Ali Asghar Heidari, Shimin Li, Huiling Chen, Chengye Li
2020	J	`jnl`	Quantum-like mutation-induced dragonfly-inspired optimization approach. Math. Comput. Simul. Caiyang Yu, Zhennao Cai, Xiaojia Ye, Mingjing Wang, Xuehua Zhao, Guoxi Liang, Huiling Chen, Chengye Li