---
title: "Shengyu Fu — author profile and papers — Elamur Research"
description: "Shengyu Fu, Microsoft: 2 papers on Elamur Research (2021–2023), h-index 10 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/shengyu-fu/"
---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shengyu Fu

# Shengyu Fu

Shengyu Fu has 2 papers in our library, in 2021–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Alexey Svyatkovskiy](https://md.research.elamur.ai/free/en/authors/alexey-svyatkovskiy/), [Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/), [Shuai Lu](https://md.research.elamur.ai/free/en/authors/shuai-lu/).

2 papers in our library · 2021–2023

[OpenAlex](https://openalex.org/A5031659418) · [ORCID](https://orcid.org/0009-0000-0879-4771) · [**h-index 10**](https://openalex.org/authors/A5031659418) · [30 works](https://openalex.org/works?filter=author.id:A5031659418) · [1,442 citations](https://openalex.org/works?filter=author.id:A5031659418&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shengyu-fu/#papers) · [🔗 Cited 181 times in our library](https://md.research.elamur.ai/free/en/authors/shengyu-fu/cited-by/) · [⭐ Paper Stars ranking: #5187](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5187)

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

## Affiliations

[🏢**Microsoft** Redmond · United States 2020–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**National Taiwan University** Taipei · Taiwan 2015–2019 · 20 papers](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) · [🎓**University of North Carolina at Charlotte** Charlotte · United States 2003 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-charlotte/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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/) · [Computer Science Applications · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/shengyu-fu/year/2023/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/shengyu-fu/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[GraphCodeBERT: Pre-training Code Representations with Data Flow](https://md.research.elamur.ai/free/en/papers/guo-2021-graphcodebert-pre-training-code-representations/)** *(2021 · 332 citations)* Most pre-trained models for source code read a program as a plain token sequence. This ignores structural information that shows what the code actually does. GraphCodeBERT adds data flow to the input: a graph in which variables are nodes and directed edges show which variables each value is derived from. The authors…
2. **[Code Execution with Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/liu-2023-code-execution-pre-trained-language/)** *(2023 · 38 citations)* Most pre-trained code models learn from source text and static structure such as ASTs or data flow. They do not see how a program actually behaves at runtime. This paper asks whether a Transformer can learn to emulate execution: given a Python program, it must generate the full execution trace, meaning the order in…

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Alexey Svyatkovskiy](https://md.research.elamur.ai/free/en/authors/alexey-svyatkovskiy/) ×2
- [Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/) ×2
- [Shuai Lu](https://md.research.elamur.ai/free/en/authors/shuai-lu/) ×2
- [Daxin Jiang](https://md.research.elamur.ai/free/en/authors/daxin-jiang/)
- [Daya Guo](https://md.research.elamur.ai/free/en/authors/daya-guo/)
- [Duyu Tang](https://md.research.elamur.ai/free/en/authors/duyu-tang/)
- [Long Zhou](https://md.research.elamur.ai/free/en/authors/long-zhou/)
- [Michele Tufano](https://md.research.elamur.ai/free/en/authors/michele-tufano/)
- [Neel Sundaresan](https://md.research.elamur.ai/free/en/authors/neel-sundaresan/)
- [Shujie Liu](https://md.research.elamur.ai/free/en/authors/shujie-liu/)
- [Shuo Ren](https://md.research.elamur.ai/free/en/authors/shuo-ren/)
- [Weizhu Chen](https://md.research.elamur.ai/free/en/authors/weizhu-chen/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/)

## Cited by

Papers of our library cite their works 181 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shengyu-fu/cited-by/).

Updated 3 November 2026
