Albert Gu
Impact in
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- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Graph Neural Networks
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Topic Modeling 5
- Neural Networks and Applications 5
- Stochastic Gradient Optimization Techniques 4
- Speech Recognition and Synthesis 2
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- Advanced Neural Network Applications 4
- Face and Expression Recognition 2
- Co-authors
- Christopher Ré (9 shared papers)Tri Dao (6 shared papers)Jonathan Berant (1 shared paper)Christopher De (3 shared papers)Frédéric Sala (2 shared papers)Karan Goel (4 shared papers)Amit Kumar (2 shared papers)Anupam Gupta (2 shared papers)
- Journals
- SIAM Journal on Computing (1 paper)Clinical and Translational Gastroenterology (1 paper)International Conference on Learning Representations (1 paper)Society for Industrial and Applied Mathematics eBooks (1 paper)IEEE International Conference on Acoustics Speech and Signal Processing (1 paper)
- Partner nations
- United StatesIndiaDenmark
In The Last Decade
Albert Gu
18 papers receiving 395 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 108
- Artificial Intelligence 137
- Signal Processing 31
- Health Informatics 8
- Computational Theory and Mathematics 37
Countries citing papers authored by Albert Gu
This map shows the geographic impact of Albert Gu'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 Albert Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Gu more than expected).
Fields of papers citing papers by Albert Gu
This network shows the impact of papers produced by Albert Gu. 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 Albert Gu. The network helps show where Albert Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Gu, 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 | 2018 | 62 | |
| 2 | 2022 | 62 | |
| 3 | 2022 | 61 | |
| 4 | Learning Mixed-Curvature Representations in Product Spaces. | 2018 | 45 |
| 5 | Representation Tradeoffs for Hyperbolic Embeddings. | 2018 | 32 |
| 6 | 2024 | 26 | |
| 7 | 2016 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2013 | 13 | |
| 10 | 2018 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2025 | 0 |
About Albert Gu
Albert Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Applied Mathematics, Computer Networks and Communications and Control and Systems Engineering, having authored 19 papers that have together received 400 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Neural Networks and Applications (5 papers), Advanced Neural Network Applications (4 papers), Stochastic Gradient Optimization Techniques (4 papers), Control Systems and Identification (2 papers), Face and Expression Recognition (2 papers), Speech Recognition and Synthesis (2 papers) and Optimization and Search Problems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (108 citations), Artificial Intelligence (137 citations), Signal Processing (31 citations), Health Informatics (8 citations) and Computational Theory and Mathematics (37 citations). Albert Gu has collaborated with scholars based in United States, India and Denmark. Frequent co-authors include Christopher Ré, Tri Dao, Jonathan Berant, Christopher De, Frédéric Sala, Karan Goel, Amit Kumar, Anupam Gupta, Beliz Gunel and Alexander Ratner. Their work appears in journals such as SIAM Journal on Computing, Clinical and Translational Gastroenterology, International Conference on Learning Representations, Society for Industrial and Applied Mathematics eBooks and IEEE International Conference on Acoustics Speech and Signal Processing.
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.