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Shengyu Fu

Shengyu Fu has 2 papers in our library, in 2021–2023, most of them on Language models & pretraining, Code & programming languages; often with Alexey Svyatkovskiy, Nan Duan, Shuai Lu.

2 papers in our library · 2021–2023

OpenAlex · ORCID · h-index 10 · 30 works · 1,442 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 181 times in our library · ⭐ Paper Stars ranking: #5187

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢MicrosoftRedmond · United States2020–2026 · 5 paperscurrent🎓National Taiwan UniversityTaipei · Taiwan2015–2019 · 20 papers🎓University of North Carolina at CharlotteCharlotte · United States2003 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Science Applications · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Code & programming languages · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20231 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. GraphCodeBERT: Pre-training Code Representations with Data Flow (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 (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.

Venues

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

 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 →.

Updated

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