--- title: "Min Huang — author profile and papers — Elamur Research" description: "Min Huang, University of Chinese Academy of Sciences: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/min-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/min-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Min Huang # Min Huang Min Huang has 2 papers in our library, in 2026; often with [Lei Wang](https://md.research.elamur.ai/free/en/authors/lei-wang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139752919) · [**h-index 0**](https://openalex.org/authors/A5139752919) · [2 works](https://openalex.org/works?filter=author.id:A5139752919) · [0 citations](https://openalex.org/works?filter=author.id:A5139752919&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/min-huang/#papers) · [⭐ Paper Stars ranking: #12143](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12143) 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=Min+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Min+Huang) · [dblp](https://dblp.org/search?q=Min+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Min+Huang) ## Affiliations [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) 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 10 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/min-huang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[CentaurTA: A Self-Improving Human-Agents Collaboration Framework for Thematic Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-centaurta-self-improving-human-agents/)** *(2026)* Thematic analysis (TA) of qualitative data is slow and hard to reproduce. Existing LLM tools tend to fall into two camps. Fully automated pipelines sacrifice rigor. Human-in-the-loop systems use expert corrections only once, so experts end up fixing the same mistakes again and again. CentaurTA addresses this by… 2. **[Tree-Notebook: A Context-Aware Agent with Tree Search and Entropy-Aware Data Shadow for Interactive Data Science](https://md.research.elamur.ai/free/en/papers/qiu-2026-tree-notebook-context-aware-agent/)** *(2026)* LLM agents for data science often behave like linear script writers. They fill the context window with redundant output and cannot cleanly abandon a bad analysis path. They also miss "silent failures", where code runs without errors but corrupts the data, for example a dropna() call that deletes most rows.… ## Co-authors here 1 co-author with a page, the most papers together first. - [Lei Wang](https://md.research.elamur.ai/free/en/authors/lei-wang/) ## 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 Updated 1 November 2026