Albert Gu
Impact in
Papers in
-
- Advanced Graph Neural Networks 3
- Anomaly Detection Techniques and Applications 2
- Natural Language Processing Techniques 2
- Co-authors
- Christopher Ré (3 shared papers)Beliz Gunel (1 shared paper)Frédéric Sala (1 shared paper)Amit Kumar (2 shared papers)Christopher De (3 shared papers)Anupam Gupta (2 shared papers)Cristina Re (2 shared papers)Tri Dao (4 shared papers)
- Journals
- Journal of Energy Chemistry (1 paper)SIAM Journal on Computing (1 paper)Clinical and Translational Gastroenterology (1 paper)Society for Industrial and Applied Mathematics eBooks (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Albert Gu
21 papers receiving 201 citations
Peers
Comparison fields: 5 of 64
- Computational Mathematics 3
- Health Informatics 4
- Artificial Intelligence 85
- Computer Vision and Pattern Recognition 43
- Computational Theory and Mathematics 31
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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning Mixed-Curvature Representations in Product Spaces. | 2018 | 38 |
| 2 | 2020 | 22 | |
| 3 | Representation Tradeoffs for Hyperbolic Embeddings. | 2018 | 22 |
| 4 | A Kernel Theory of Modern Data Augmentation. | 2019 | 19 |
| 5 | 2024 | 19 | |
| 6 | 2016 | 16 | |
| 7 | 2024 | 15 | |
| 8 | 2013 | 13 | |
| 9 | Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations. | 2019 | 7 |
| 10 | Improving the Gating Mechanism of Recurrent Neural Networks | 2020 | 6 |
| 11 | 2023 | 6 | |
| 12 | 2018 | 6 | |
| 13 | 2023 | 4 | |
| 14 | Model Patching: Closing the Subgroup Performance Gap with Data Augmentation | 2021 | 3 |
| 15 | 2022 | 3 | |
| 16 | From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering. | 2020 | 2 |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Albert Gu
Albert Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 26 papers that have together received 207 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (3 papers), Optimization and Search Problems (2 papers), Anomaly Detection Techniques and Applications (2 papers), Natural Language Processing Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers), Complexity and Algorithms in Graphs (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Silicon Carbide Semiconductor Technologies (1 paper). The work is most often cited by research in Computational Mathematics (3 citations), Health Informatics (4 citations), Artificial Intelligence (85 citations), Computer Vision and Pattern Recognition (43 citations) and Computational Theory and Mathematics (31 citations). Albert Gu has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Christopher Ré, Beliz Gunel, Frédéric Sala, Amit Kumar, Christopher De, Anupam Gupta, Cristina Re, Tri Dao, Christopher Ré and J. Kainz. Their work appears in journals such as Journal of Energy Chemistry, SIAM Journal on Computing, Clinical and Translational Gastroenterology, Society for Industrial and Applied Mathematics eBooks and International Conference on Learning Representations.
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.