Jinkun Cao

43 total papers · 2.4k total citations
2 papers, 196 citations indexed

Jinkun Cao is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jinkun Cao has authored 2 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Artificial Intelligence. Recurrent topics in Jinkun Cao’s work include Adversarial Robustness in Machine Learning (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Video Surveillance and Tracking Methods (1 paper). Jinkun Cao is often cited by papers focused on Adversarial Robustness in Machine Learning (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Video Surveillance and Tracking Methods (1 paper). Jinkun Cao collaborates with scholars based in Hong Kong, United States and China. Jinkun Cao's co-authors include Ya Zhang, Cewu Lu, Chaoqin Huang, Maosen Li, Fei Ye, Kris Kitani, Yi Jiang, Zehuan Yuan, Ping Luo and Peize Sun and has published in prestigious journals such as IEEE Transactions on Multimedia and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).