Tung M. Luu

9 papers and 114 indexed citations i.

Tung M. Luu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Tung M. Luu has authored 9 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Mechanics. Recurrent topics in Tung M. Luu’s work include Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Tung M. Luu is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Adversarial Robustness in Machine Learning (3 papers). Tung M. Luu collaborates with scholars based in South Korea. Tung M. Luu's co-authors include Chang D. Yoo, Thang Vu, Trung X. Pham, Xuan Nguyen and Junyeong Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and IEEE Access.