---
title: "Daniel Y. Fu — author profile and papers — Elamur Research"
description: "Daniel Y. Fu, University of California San Diego: 2 papers on Elamur Research (2023–2024), h-index 7 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/daniel-y-fu/"
---
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# Daniel Y. Fu

Daniel Y. Fu has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/); often with [Anton Alexandrov](https://md.research.elamur.ai/free/en/authors/anton-alexandrov/), [Beidi Chen](https://md.research.elamur.ai/free/en/authors/beidi-chen/), [Ben Athiwaratkun](https://md.research.elamur.ai/free/en/authors/ben-athiwaratkun/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5032865467) · [ORCID](https://orcid.org/0000-0002-2500-2577) · [**h-index 7**](https://openalex.org/authors/A5032865467) · [35 works](https://openalex.org/works?filter=author.id:A5032865467) · [371 citations](https://openalex.org/works?filter=author.id:A5032865467&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daniel-y-fu/#papers) · [🔗 Cited 2,183 times in our library](https://md.research.elamur.ai/free/en/authors/daniel-y-fu/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3248](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3248)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Daniel+Y.+Fu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daniel+Y.+Fu) · [dblp](https://dblp.org/search?q=Daniel+Y.+Fu) · [ACL Anthology](https://aclanthology.org/search/?q=Daniel+Y.+Fu)

## Affiliations

[🎓**University of California San Diego** San Diego · United States 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🤝**Together** Lacey · United States 2026 · 1 paper*current*](https://ror.org/01azqfh67) · [🎓**Stanford University** Stanford · United States 2019–2024 · 14 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/daniel-y-fu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/daniel-y-fu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU](https://md.research.elamur.ai/free/en/papers/sheng-2023-flexgen-high-throughput-generative-inference/)** *(2023 · 402 citations)* Running very large language models usually requires several expensive accelerators. GPT-175B alone needs about 325GB just for its weights. Many workloads, however, are batch jobs where latency matters little, such as benchmarking, information extraction and data wrangling. The authors build FlexGen, an inference…
2. **[RedPajama: an Open Dataset for Training Large Language Models](https://md.research.elamur.ai/free/en/papers/weber-2024-redpajama-open-dataset-training-large/)** *(2024 · 260 citations)* Many leading LLMs are trained on data whose sources and cleaning steps are never disclosed. This makes open research on pretraining corpora slow and hard to replicate. The authors respond with two public releases. RedPajama-V1 rebuilds the LLaMA-1 training mixture from its brief published description and records…

## All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness ↗](https://arxiv.org/abs/2205.14135) arXiv:2205.14135 · no summary yet**Tri Dao et al.*2022 · 2,495 citations*
2. [**FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU arXiv:2303.06865**Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.*2023 · 402 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2023-flexgen-high-throughput-generative-inference/)
3. **[RedPajama: an Open Dataset for Training Large Language Models](https://md.research.elamur.ai/free/en/papers/weber-2024-redpajama-open-dataset-training-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Maurice Weber, Daniel Fu, Quentin Anthony, et al.*2024 · 260 citations*
4. **[Hyena Hierarchy: Towards Larger Convolutional Language Models ↗](https://arxiv.org/abs/2302.10866) arXiv:2302.10866 · no summary yet**Michael Poli et al.*2023 · 182 citations*
5. **[Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions ↗](https://doi.org/10.52202/075280-0747) neural information processing systems · no summary yet**Stefano Massaroli et al.*2023 · 13 citations*
6. **[Exploring Diffusion Transformer Designs via Grafting ↗](https://doi.org/10.52202/085713-0603) neural information processing systems · no summary yet**Keshigeyan Chandrasegaran et al.*2025 · 5 citations*

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Anton Alexandrov](https://md.research.elamur.ai/free/en/authors/anton-alexandrov/)
- [Beidi Chen](https://md.research.elamur.ai/free/en/authors/beidi-chen/)
- [Ben Athiwaratkun](https://md.research.elamur.ai/free/en/authors/ben-athiwaratkun/)
- [Christopher Ré](https://md.research.elamur.ai/free/en/authors/christopher-re/)
- [Clark Barrett](https://md.research.elamur.ai/free/en/authors/clark-barrett/)
- [Huu Nguyen](https://md.research.elamur.ai/free/en/authors/huu-nguyen/)
- [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/)
- [Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/)
- [Max Ryabinin](https://md.research.elamur.ai/free/en/authors/max-ryabinin/)
- [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/)
- [Quentin Anthony](https://md.research.elamur.ai/free/en/authors/quentin-anthony/)
- [Rahul Chalamala](https://md.research.elamur.ai/free/en/authors/rahul-chalamala/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- neural information processing systems ×2
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)

## Cited by

Papers of our library cite their works 2,183 times (of the 149,439 papers whose bibliographies we read); [227 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daniel-y-fu/cited-by/).

Updated 30 October 2026
