Liam Li
Impact in
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- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Data Stream Mining Techniques
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- Advanced Neural Network Applications
Papers in
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- Constraint Satisfaction and Optimization 1
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- Advanced Neural Network Applications 1
Liam Li
3 papers receiving 120 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 65
- Computer Vision and Pattern Recognition 30
- Industrial and Manufacturing Engineering 8
- Space and Planetary Science 1
- Signal Processing 8
Countries citing papers authored by Liam Li
This map shows the geographic impact of Liam Li'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 Liam Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Li more than expected).
Fields of papers citing papers by Liam Li
This network shows the impact of papers produced by Liam Li. 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 Liam Li. The network helps show where Liam Li may publish in the future.
Co-authors
The 8 scholars most cited alongside Liam Li, 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 | A System for Massively Parallel Hyperparameter Tuning | 2020 | 87 |
| 2 | Massively Parallel Hyperparameter Tuning | 2018 | 39 |
| 3 | On Weight-Sharing and Bilevel Optimization in Architecture Search | 2019 | 1 |
About Liam Li
Liam Li is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 3 papers that have together received 127 indexed citations. Recurring topics across this work include Data Management and Algorithms (1 paper), Optimization and Packing Problems (1 paper), Machine Learning and Data Classification (1 paper), Machine Learning and Algorithms (1 paper), Advanced Neural Network Applications (1 paper) and Constraint Satisfaction and Optimization (1 paper). The work is most often cited by research in Artificial Intelligence (65 citations), Computer Vision and Pattern Recognition (30 citations), Industrial and Manufacturing Engineering (8 citations), Space and Planetary Science (1 citation) and Signal Processing (8 citations). Frequent co-authors include Ameet Talwalkar, Afshin Rostamizadeh, Kevin Jamieson, Ekaterina Gonina, Benjamin Recht, Moritz Hardt, Maria-Florina Balcan and Mikhail Khodak.
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.