Xiaoxia Wu

7 papers and 63 indexed citations i.

Xiaoxia Wu has authored 7 papers that have received a total of 63 indexed citations. This includes 6 papers in Artificial Intelligence, 3 papers in Computational Mechanics and 2 papers in Statistics and Probability. The topics of these papers are Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Xiaoxia Wu is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in United States, United Kingdom and China. Xiaoxia Wu's co-authors include Rachel Ward, Léon Bottou, Ethan Dyer, Sujay Sanghavi and Simon S. Du and has published in prestigious journals such as Journal of Machine Learning Research and Electronics Letters