--- title: "Gang Wu · Northeastern University — author profile and papers" description: "Gang Wu, Northeastern University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/gang-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/gang-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Gang Wu # Gang Wu Gang Wu has 2 papers in our library, in 2026, most of them on [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/); often with [Franck Dernoncourt](https://md.research.elamur.ai/free/en/authors/franck-dernoncourt/), [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/), [Tong Yu](https://md.research.elamur.ai/free/en/authors/tong-yu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139752912) · [ORCID](https://orcid.org/0000-0002-9855-6300) · [Wikidata](https://www.wikidata.org/wiki/Q130819876) · [**h-index 0**](https://openalex.org/authors/A5139752912) · [6 works](https://openalex.org/works?filter=author.id:A5139752912) · [0 citations](https://openalex.org/works?filter=author.id:A5139752912&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/gang-wu/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #10908](https://md.research.elamur.ai/free/en/paper-stars/page/110/#star-10908) 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=Gang+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Gang+Wu) · [dblp](https://dblp.org/search?q=Gang+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Gang+Wu) ## Affiliations [🎓**Northeastern University** Shenyang · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) 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 7 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/gang-wu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-skill-discovery-software-scripting-automation/)** *(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](https://md.research.elamur.ai/free/en/papers/liu-2026-prompt-optimization-relation-extraction-reinforcement/)** *(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. - [Franck Dernoncourt](https://md.research.elamur.ai/free/en/authors/franck-dernoncourt/) - [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/) - [Tong Yu](https://md.research.elamur.ai/free/en/authors/tong-yu/) - [Wei Ai](https://md.research.elamur.ai/free/en/authors/wei-ai/) - [Xiang Chen](https://md.research.elamur.ai/free/en/authors/xiang-chen/) - [Ying Liu](https://md.research.elamur.ai/free/en/authors/ying-liu/) ## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 ## Cited by Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026