Tong Che

8 papers and 244 indexed citations i.

Tong Che is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Tong Che has authored 8 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Tong Che’s work include Adversarial Robustness in Machine Learning (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Tong Che is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Tong Che collaborates with scholars based in Algeria, United States and China. Tong Che's co-authors include Yoshua Bengio, Ruixiang Zhang, Zoubin Ghahramani, Yangqiu Song, Xiaofeng Liu, Kaiyang Zhou, Ping Jia, Bo Li, B. V. K. Vijaya Kumar and Peng Ding and has published in prestigious journals such as Scientific Reports, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).