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Gang Wu

Gang Wu has 2 papers in our library, in 2026, most of them on Information extraction; often with Franck Dernoncourt, Tianyi Zhou, Tong Yu.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 0 · 6 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #10908

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

🎓Northeastern UniversityShenyang · China2026 · 4 paperscurrent

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workSoftware · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Information extraction · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs (2026 · 3 citations)
    The paper addresses how to make software scripting accessible to users who lack programming skills or knowledge of an application's API.
  2. Prompt Optimization for Relation Extraction using Reinforcement Learning (2026)
    Prompting LLMs for relation extraction (RE) avoids the large annotated corpora that supervised models need.

 Co-authors here

6 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 2 times (of the 149,439 papers whose bibliographies we read).

Updated

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