Kien Do

69 total papers · 456 total citations
10 papers, 37 citations indexed

Kien Do is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kien Do has authored 10 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Kien Do’s work include Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Kien Do is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Kien Do collaborates with scholars based in Australia, Vietnam and Denmark. Kien Do's co-authors include Svetha Venkatesh, Truyen Tran, Thin Nguyen, Tung Kieu, Willy Susilo, Toan Nguyen, Bac Le, Yang-Wai Chow, Khoat Than and Truong V. Vu and has published in prestigious journals such as Expert Systems with Applications, Machine Learning and Pattern Recognition Letters.