Yingze Bao

6 papers and 132 indexed citations i.

Yingze Bao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Yingze Bao has authored 6 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Yingze Bao’s work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (1 paper) and Augmented Reality Applications (1 paper). Yingze Bao is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (1 paper) and Augmented Reality Applications (1 paper). Yingze Bao collaborates with scholars based in China, United States and France. Yingze Bao's co-authors include Shilei Wen, Xiang Long, Lei Cui, Baopu Li, Min-Hung Chen, Ghassan AlRegib, Zhiyu Cheng, Ying Wu, Xiangyun Zhao and Yuchen Yuan and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV), arXiv (Cornell University) and Proceedings of the 30th ACM International Conference on Multimedia.