--- title: "Chuan Qin — author profile and papers — Elamur Research" description: "Chuan Qin, Chinese Academy of Sciences: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/chuan-qin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chuan-qin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chuan Qin # Chuan Qin Chuan Qin has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Hengshu Zhu](https://md.research.elamur.ai/free/en/authors/hengshu-zhu/), [Xi Chen](https://md.research.elamur.ai/free/en/authors/xi-chen/), [Jinpeng Li](https://md.research.elamur.ai/free/en/authors/jinpeng-li/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139841422) · [**h-index 2**](https://openalex.org/authors/A5139841422) · [4 works](https://openalex.org/works?filter=author.id:A5139841422) · [9 citations](https://openalex.org/works?filter=author.id:A5139841422&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chuan-qin/#papers) · [⭐ Paper Stars ranking: #10537](https://md.research.elamur.ai/free/en/paper-stars/page/106/#star-10537) 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=Chuan+Qin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chuan+Qin) · [dblp](https://dblp.org/search?q=Chuan+Qin) · [ACL Anthology](https://aclanthology.org/search/?q=Chuan+Qin) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Computer Network Information Center** Beijing · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/computer-network-information-center/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 4 papers*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 5 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/) · [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.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/chuan-qin/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery](https://md.research.elamur.ai/free/en/papers/xu-2026-tlsa-llm-guided-text-label/)** *(2026 · 4 citations)* Generalized Category Discovery (GCD) trains a classifier on a small labeled set of known classes plus a large unlabeled pool that also contains unseen classes. The model must recognize the known classes and also form the new ones. The authors identify three weaknesses in current methods: 2. **[BOLT: Benchmarking Open-World Learning for Text Classification](https://md.research.elamur.ai/free/en/papers/qin-2026-bolt-benchmarking-open-world-learning/)** *(2026 · 1 citation)* Open-world text classification requires models to handle classes absent from training. Evaluation in this area has been fragmented. Most studies test on a few English intent datasets such as Banking and CLINC, and papers differ in how many classes are treated as known, how much data is labeled, and which metrics they… ## Co-authors here 4 co-authors with a page, the most papers together first. - [Hengshu Zhu](https://md.research.elamur.ai/free/en/authors/hengshu-zhu/) ×2 - [Xi Chen](https://md.research.elamur.ai/free/en/authors/xi-chen/) ×2 - [Jinpeng Li](https://md.research.elamur.ai/free/en/authors/jinpeng-li/) - [Yuanchun Zhou](https://md.research.elamur.ai/free/en/authors/yuanchun-zhou/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) Updated 31 October 2026