Chengzhi Mao

15 papers and 106 indexed citations i.

Chengzhi Mao has authored 15 papers that have received a total of 106 indexed citations. This includes 10 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. The topics of these papers are Adversarial Robustness in Machine Learning (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Generative Adversarial Networks and Image Synthesis (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 Generative Adversarial Networks and Image Synthesis (2 papers) and 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