Chengzhi Mao

15 papers and 116 indexed citations i.

Chengzhi Mao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Chengzhi Mao has authored 15 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Chengzhi Mao’s work include Adversarial Robustness in Machine Learning (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Anomaly Detection Techniques and Applications (2 papers). Chengzhi Mao is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Anomaly Detection Techniques and Applications (2 papers). Chengzhi Mao collaborates with scholars based in United States, The Netherlands and China. Chengzhi Mao's co-authors include Carl Vondrick, Junfeng Yang, Sachit Menon and Ruoshi Liu and has published in prestigious journals such as Symmetry and Electronics.