---
title: "Fangyun Wei — author profile and papers"
description: "Fangyun Wei, Microsoft (United States): 2 papers on Elamur Research (2024), h-index 27 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/fangyun-wei/"
---
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# Fangyun Wei

2 papers on this site · 2024

current affiliation [Microsoft (United States)](https://md.research.elamur.ai/free/en/companies/microsoft/), Redmond, United States; [Microsoft Research Asia (China)](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/), Beijing, China

Fangyun Wei has 2 papers on this site, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/), [Hongyang Zhang](https://md.research.elamur.ai/free/en/authors/hongyang-zhang/), [Yuhui Li](https://md.research.elamur.ai/free/en/authors/yuhui-li/).

[OpenAlex](https://openalex.org/A5090973869) · [ORCID](https://orcid.org/0000-0001-8784-4916) · [**h-index 27**](https://openalex.org/authors/A5090973869) · [77 works](https://openalex.org/works?filter=author.id:A5090973869) · [5 469 citations](https://openalex.org/works?filter=author.id:A5090973869&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[2 works on this site](https://md.research.elamur.ai/free/en/authors/fangyun-wei/#papers) · [295 citations in our library](https://md.research.elamur.ai/free/en/authors/fangyun-wei/cited-by/)

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=Fangyun+Wei) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fangyun+Wei) · [dblp](https://dblp.org/search?q=Fangyun+Wei) · [ACL Anthology](https://aclanthology.org/search/?q=Fangyun+Wei)

## Affiliations

- [Microsoft Research Asia (China)](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · Beijing, China —current · 2019–2026 on 50 papers
- [Microsoft (United States)](https://md.research.elamur.ai/free/en/companies/microsoft/) · Redmond, United States —current · 2020–2026 on 10 papers
- [The University of Sydney](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) · Sydney, Australia —2024–2025 on 4 papers
- [Peking University](https://md.research.elamur.ai/free/en/universities/peking-university/) · Beijing, China —2014–2023 on 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## Topics

[Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/fangyun-wei/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-speculative-sampling-requires-rethinking/)** *(2024 · 204 citations)* Generating text token by token makes LLM inference slow. Speculative sampling speeds it up by letting a cheap model propose several tokens that the full model then checks in a single pass. However, good draft models are hard to find, especially for the smallest model in a family. EAGLE replaces the separate draft…
2. **[EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees](https://md.research.elamur.ai/free/en/papers/li-2024-eagle-2-faster-inference-language/)** *(2024 · 131 citations)* Speculative sampling makes LLM inference faster: a cheap draft model proposes tokens, and the original model checks them in parallel.

## Co-authors here

3 co-authors with a page, the most papers together first.

- [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/) ×2
- [Hongyang Zhang](https://md.research.elamur.ai/free/en/authors/hongyang-zhang/) ×2
- [Yuhui Li](https://md.research.elamur.ai/free/en/authors/yuhui-li/) ×2

## Cited by

Papers of our library cite their works 295 times (of the 140 884 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fangyun-wei/cited-by/).