Xiaoxia Wu
- Artificial Intelligence
- Computational Mechanics
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Mechanical Engineering
- Topics
- Stochastic Gradient Optimization Techniques (4 papers)Sparse and Compressive Sensing Techniques (2 papers)Statistical Methods and Inference (2 papers)
- Journals
- Journal of Machine Learning ResearchElectronics LettersarXiv (Cornell University)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Xiaoxia Wu
5 papers receiving 68 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 33
- Computational Mechanics 19
- Electrical and Electronic Engineering 16
- Computer Vision and Pattern Recognition 14
- Mechanical Engineering 14
Countries citing papers authored by Xiaoxia Wu
This map shows the geographic impact of Xiaoxia Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoxia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxia Wu more than expected).
Fields of papers citing papers by Xiaoxia Wu
This network shows the impact of papers produced by Xiaoxia Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoxia Wu. The network helps show where Xiaoxia Wu may publish in the future.
Co-authorship network of co-authors of Xiaoxia Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxia Wu. A scholar is included among the top collaborators of Xiaoxia Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoxia Wu. Xiaoxia Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Choosing the Sample with Lowest Loss makes SGD Robust | 1 |
| 3 | AdaGrad stepsizes: Sharp convergence over nonconvex landscapes, from any initialization | 24 |
| 4 | AdaGrad stepsizes: Sharp convergence over nonconvex landscapes | 28 |
| 5 | 15 |
About Xiaoxia Wu
Xiaoxia Wu is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics, having authored 5 papers that have together received 69 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (4 papers), Sparse and Compressive Sensing Techniques (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Artificial Intelligence (33 citations), Computational Mechanics (19 citations) and Computer Vision and Pattern Recognition (14 citations). Xiaoxia Wu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Rachel Ward, Léon Bottou, Sujay Sanghavi and Simon S. Du. Their work appears in journals such as Journal of Machine Learning Research, Electronics Letters and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.