Ga Wu

43 total papers · 409 total citations
7 papers, 32 citations indexed

Ga Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ga Wu has authored 7 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Ga Wu’s work include Adversarial Robustness in Machine Learning (2 papers), Reservoir Engineering and Simulation Methods (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Ga Wu is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Reservoir Engineering and Simulation Methods (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Ga Wu collaborates with scholars based in Canada, Australia and United States. Ga Wu's co-authors include Masoud Hashemi, Scott Sanner, Mohamed Reda Bouadjenek, Yi Sui, Justin Domke and Zheda Mai and has published in prestigious journals such as Machine Learning, ACM Transactions on the Web and arXiv (Cornell University).