Songwei Ge

11 papers and 126 indexed citations i.

Songwei Ge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Songwei Ge has authored 11 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Biophysics. Recurrent topics in Songwei Ge’s work include Multimodal Machine Learning Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Songwei Ge is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Songwei Ge collaborates with scholars based in United States, China and Canada. Songwei Ge's co-authors include Eric P. Xing, David R. Jacobs, Jia‐Bin Huang, Andrew Tao and Seungjun Nah and has published in prestigious journals such as PLoS ONE and Journal of Computational Biology.