Shuangfei Zhai

13 papers and 428 indexed citations i.

Shuangfei Zhai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Shuangfei Zhai has authored 13 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Shuangfei Zhai’s work include Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Shuangfei Zhai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Shuangfei Zhai collaborates with scholars based in United States, China and Israel. Shuangfei Zhai's co-authors include Yongxi Lu, Rogério Feris, Tara Javidi, Abhishek Kumar, Yu Cheng, Zhongfei Zhang, Yu Cheng, Zhengping Che, Yan Liu and Zhaonan Sun and has published in prestigious journals such as Social Network Analysis and Mining, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).