Muchao Ye

32 total papers · 496 total citations
5 papers, 31 citations indexed

Muchao Ye is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Muchao Ye has authored 5 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Muchao Ye’s work include Multimodal Machine Learning Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Machine Learning in Healthcare (1 paper). Muchao Ye is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Machine Learning in Healthcare (1 paper). Muchao Ye collaborates with scholars based in United States, China and Spain. Muchao Ye's co-authors include Fenglong Ma, Chenglin Miao, Ting Wang, Quanzeng You, Jinghui Chen, Han Liu, Jiaqi Wang, Junyu Luo, Ting Wang and Jiaqi Wang and has published in prestigious journals such as PubMed, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Proceedings of the AAAI Conference on Artificial Intelligence.