Aolin Xu
Impact in
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- Machine Learning and Algorithms
- Stochastic Gradient Optimization Techniques
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
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- Statistical Methods and Inference
Papers in
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- Wireless Communication Security Techniques 3
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- Stochastic Gradient Optimization Techniques 4
- Machine Learning and Algorithms 2
- Target Tracking and Data Fusion in Sensor Networks 2
- Co-authors
- Maxim Raginsky (6 shared papers)Yihong Wu (1 shared paper)Alexander Rakhlin (1 shared paper)Min-Sun Keel (1 shared paper)Andrew C. Singer (2 shared papers)Jian Song (1 shared paper)Yingyan Lin (2 shared papers)Elyse Rosenbaum (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (3 papers)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)Electronics Letters (1 paper)arXiv (Cornell University) (1 paper)IOP Conference Series Earth and Environmental Science (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Aolin Xu
17 papers receiving 148 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 82
- Statistics and Probability 19
- Computer Networks and Communications 39
- Computational Mathematics 1
- Computational Mechanics 31
Countries citing papers authored by Aolin Xu
This map shows the geographic impact of Aolin Xu'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 Aolin Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aolin Xu more than expected).
Fields of papers citing papers by Aolin Xu
This network shows the impact of papers produced by Aolin Xu. 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 Aolin Xu. The network helps show where Aolin Xu may publish in the future.
Co-authors
The 16 scholars most cited alongside Aolin Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Information-theoretic analysis of generalization capability of learning algorithms | 2017 | 38 |
| 2 | 2016 | 35 | |
| 3 | 2016 | 26 | |
| 4 | 2022 | 14 | |
| 5 | 2016 | 11 | |
| 6 | 2010 | 9 | |
| 7 | 2014 | 7 | |
| 8 | 2017 | 5 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 2 | |
| 11 | 2011 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2008 | 1 |
About Aolin Xu
Aolin Xu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics and Computational Mechanics, having authored 17 papers that have together received 157 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (4 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Wireless Communication Security Techniques (3 papers), Analog and Mixed-Signal Circuit Design (2 papers), Machine Learning and Algorithms (2 papers), Wireless Communication Networks Research (2 papers), Statistical Mechanics and Entropy (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Artificial Intelligence (82 citations), Statistics and Probability (19 citations), Computer Networks and Communications (39 citations), Computational Mathematics (1 citation) and Computational Mechanics (31 citations). Aolin Xu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Maxim Raginsky, Yihong Wu, Alexander Rakhlin, Min-Sun Keel, Andrew C. Singer, Jian Song, Yingyan Lin, Elyse Rosenbaum, Kewu Peng and Naresh R. Shanbhag. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Circuits and Systems I Regular Papers, Electronics Letters, arXiv (Cornell University) and IOP Conference Series Earth and Environmental Science.
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.