Xilun Chen
- Artificial Intelligence top 2%
- Topic Modeling 18
- Natural Language Processing Techniques 14
- Domain Adaptation and Few-Shot Learning 5
- Advanced Text Analysis Techniques 2
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- Multimodal Machine Learning Applications 11
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- Simulation Techniques and Applications 4
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- Error Correcting Code Techniques 2
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- Web Data Mining and Analysis 2
- Co-authors
- Claire CardieSonal GuptaKilian Q. WeinbergerBen AthiwaratkunYu SunLuke ZettlemoyerAnchit GuptaYashar Mehdad
- Journals
- Journal of Field Robotics (1 paper)IEEE Antennas and Wireless Propagation Letters (1 paper)Proceedings of the VLDB Endowment (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Xilun Chen
34 papers receiving 661 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 630
- Computer Vision and Pattern Recognition 209
- Computational Mathematics 5
- Health Informatics 5
- Management Science and Operations Research 40
Countries citing papers authored by Xilun Chen
This map shows the geographic impact of Xilun Chen'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 Xilun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xilun Chen more than expected).
Fields of papers citing papers by Xilun Chen
This network shows the impact of papers produced by Xilun Chen. 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 Xilun Chen. The network helps show where Xilun Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xilun Chen, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 21 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 45 | |
| 9 | 2021 | 104 | |
| 10 | Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing | 2021 | 5 |
| 11 | 2021 | 1 | |
| 12 | 2020 | 37 | |
| 13 | 2018 | 67 | |
| 14 | Zero-Resource Multilingual Model Transfer: Learning What to Share | 2018 | 8 |
| 15 | 2018 | 3 | |
| 16 | 2018 | 65 | |
| 17 | 2017 | 6 | |
| 18 | Cornell Belief and Sentiment System at TAC 2016. | 2016 | 3 |
| 19 | 2013 | 11 | |
| 20 | 2013 | 1 |
About Xilun Chen
Xilun Chen is a scholar working on Computational Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research and Instrumentation, having authored 37 papers that have together received 716 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers), Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (5 papers), Simulation Techniques and Applications (4 papers), Advanced Text Analysis Techniques (2 papers), Error Correcting Code Techniques (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (630 citations), Computer Vision and Pattern Recognition (209 citations), Computational Mathematics (5 citations), Health Informatics (5 citations) and Management Science and Operations Research (40 citations). Xilun Chen has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Claire Cardie, Sonal Gupta, Kilian Q. Weinberger, Ben Athiwaratkun, Yu Sun, Luke Zettlemoyer, Anchit Gupta, Yashar Mehdad, Armen Aghajanyan and Barlas Oğuz. Their work appears in journals such as Journal of Field Robotics, IEEE Antennas and Wireless Propagation Letters, Proceedings of the VLDB Endowment, Theory and applications of categories and Transactions of the Association for Computational Linguistics.
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.