Jessy Lin
Impact in
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- Adversarial Robustness in Machine Learning
- Topic Modeling
- Reinforcement Learning in Robotics
- Multi-Agent Systems and Negotiation
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
Papers in
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- Topic Modeling 3
- Natural Language Processing Techniques 2
- Multi-Agent Systems and Negotiation 1
- Adversarial Robustness in Machine Learning 1
- Speech and dialogue systems 1
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- Multimodal Machine Learning Applications 1
- Advanced Neural Network Applications 1
- Co-authors
- Dan Klein (1 shared paper)Jason Eisner (1 shared paper)Anish Athalye (1 shared paper)Anca D. Dragan (1 shared paper)Jacob Andreas (1 shared paper)Daniel Fried (1 shared paper)Andrew Ilyas (1 shared paper)Logan Engstrom (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)
- Partner nations
- United States
In The Last Decade
Jessy Lin
4 papers receiving 33 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 29
- Health Informatics 1
- Safety Research 4
- Computer Vision and Pattern Recognition 8
- Social Psychology 5
Countries citing papers authored by Jessy Lin
This map shows the geographic impact of Jessy Lin'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 Jessy Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessy Lin more than expected).
Fields of papers citing papers by Jessy Lin
This network shows the impact of papers produced by Jessy Lin. 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 Jessy Lin. The network helps show where Jessy Lin may publish in the future.
Co-authors
The 11 scholars most cited alongside Jessy Lin, 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 | 2022 | 13 | |
| 2 | 2024 | 12 | |
| 3 | Query-Efficient Black-box Adversarial Examples | 2017 | 11 |
| 4 | 2022 | 2 |
About Jessy Lin
Jessy Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Materials Chemistry, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 38 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Multi-Agent Systems and Negotiation (1 paper), Multimodal Machine Learning Applications (1 paper), Adversarial Robustness in Machine Learning (1 paper), Advanced Neural Network Applications (1 paper), Machine Learning in Materials Science (1 paper) and Speech and dialogue systems (1 paper). The work is most often cited by research in Artificial Intelligence (29 citations), Health Informatics (1 citation), Safety Research (4 citations), Computer Vision and Pattern Recognition (8 citations) and Social Psychology (5 citations). Jessy Lin has collaborated with scholars based in United States. Frequent co-authors include Dan Klein, Jason Eisner, Anish Athalye, Anca D. Dragan, Jacob Andreas, Daniel Fried, Andrew Ilyas, Logan Engstrom, John DeNero and G. Kovács. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.