Albert Gu

3.0k total citations
23 papers, 170 citations indexed

About

Albert Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Albert Gu has authored 23 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Albert Gu's work include Advanced Graph Neural Networks (3 papers), Optimization and Search Problems (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Albert Gu is often cited by papers focused on Advanced Graph Neural Networks (3 papers), Optimization and Search Problems (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Albert Gu collaborates with scholars based in United States, United Kingdom and India. Albert Gu's co-authors include Christopher De, Christopher Ré, Cristina Re, Frédéric Sala, Beliz Gunel, Christopher Ré, Tri Dao, Amit Kumar, F. Sala and Anupam Gupta and has published in prestigious journals such as SIAM Journal on Computing, Journal of Energy Chemistry and Clinical and Translational Gastroenterology.

In The Last Decade

Albert Gu

18 papers receiving 165 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Albert Gu United States 8 78 38 26 22 20 23 170
Krzysztof Maziarz United Kingdom 4 85 1.1× 49 1.3× 11 0.4× 22 1.0× 15 0.8× 7 153
Chaoqi Yang United States 10 153 2.0× 32 0.8× 38 1.5× 20 0.9× 15 0.8× 24 242
Yizhen Zheng Australia 11 217 2.8× 44 1.2× 19 0.7× 9 0.4× 22 1.1× 20 294
Hongyang Zhang China 7 178 2.3× 56 1.5× 13 0.5× 13 0.6× 8 0.4× 29 227
Ilija Ilievski Singapore 6 143 1.8× 94 2.5× 6 0.2× 24 1.1× 6 0.3× 8 234
Kranthi Kumar Singamaneni India 7 85 1.1× 41 1.1× 6 0.2× 9 0.4× 38 1.9× 24 192
Swarup Kr Ghosh India 11 84 1.1× 89 2.3× 13 0.5× 24 1.1× 7 0.3× 27 236
Shengjun Li China 7 58 0.7× 12 0.3× 76 2.9× 12 0.5× 8 0.4× 19 190
Guojun Zhang China 6 167 2.1× 46 1.2× 11 0.4× 12 0.5× 20 1.0× 12 209

Countries citing papers authored by Albert Gu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Albert Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Gu. A scholar is included among the top collaborators of Albert Gu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Albert Gu. Albert Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Barr, Nicholas, Marcel Held, Sheng-Wen Chen, et al.. (2024). Beyond the Boundaries of State-of-the-Art Power Semiconductor Devices. 29–36.
3.
Gu, Albert, et al.. (2024). Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models. 31788–31812. 1 indexed citations
4.
Gokaslan, Aaron, et al.. (2024). Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling. PubMed. 235. 43632–43648. 17 indexed citations
5.
Wang, Junxiong, et al.. (2023). Pretraining Without Attention. 58–69. 2 indexed citations
6.
Chen, Suwen, et al.. (2023). SiC MOSFET Device for Radio Frequency Power Conversion. 1–6. 1 indexed citations
7.
Gu, Albert, et al.. (2023). Structured State Space Models for In-Context Reinforcement Learning. 47016–47031.
8.
Zhou, Margaret, Thomas Zikos, Karan Goel, et al.. (2023). Development and Validation of a Machine Learning System to Identify Reflux Events in Esophageal 24-Hour pH/Impedance Studies. Clinical and Translational Gastroenterology. 14(10). e00634–e00634. 3 indexed citations
9.
10.
Goel, Karan, Albert Gu, Yixuan Li, & Christopher Ré. (2021). Model Patching: Closing the Subgroup Performance Gap with Data Augmentation. arXiv (Cornell University). 3 indexed citations
11.
Chami, Ines, Albert Gu, Dat Nguyen, & Christopher Ré. (2021). HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections. arXiv (Cornell University). 1419–1429.
12.
Davis, Jared Quincy, Albert Gu, Krzysztof Choromański, et al.. (2021). Catformer: Designing Stable Transformers via Sensitivity Analysis. 2489–2499.
13.
Chami, Ines, et al.. (2020). From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering.. arXiv (Cornell University). 33. 15065–15076. 1 indexed citations
14.
Gu, Albert, et al.. (2020). Improving the Gating Mechanism of Recurrent Neural Networks. International Conference on Machine Learning. 1. 3800–3809. 5 indexed citations
15.
Sohoni, Nimit S., et al.. (2020). No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems. arXiv (Cornell University). 33. 19339–19352. 20 indexed citations
16.
Dao, Tri, et al.. (2019). A Kernel Theory of Modern Data Augmentation.. PubMed. 97. 1528–1537. 19 indexed citations
17.
Gu, Albert, Frédéric Sala, Beliz Gunel, & Christopher Ré. (2018). Learning Mixed-Curvature Representations in Product Spaces.. International Conference on Learning Representations. 34 indexed citations
18.
De, Christopher, et al.. (2018). A Two-pronged Progress in Structured Dense Matrix Vector Multiplication. Society for Industrial and Applied Mathematics eBooks. 2018. 1060–1079. 5 indexed citations
19.
Gu, Albert, Anupam Gupta, & Amit Kumar. (2016). The Power of Deferral: Maintaining a Constant-Competitive Steiner Tree Online. SIAM Journal on Computing. 45(1). 1–28. 9 indexed citations
20.
Gu, Albert, Anupam Gupta, & Amit Kumar. (2013). The power of deferral. 525–534. 9 indexed citations

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.

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