--- title: "Qin Zhou — author profile and papers — Elamur Research" description: "Qin Zhou, East China University of Science and Technology: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/qin-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qin-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qin Zhou # Qin Zhou Qin Zhou 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 [Zhe Wang](https://md.research.elamur.ai/free/en/authors/zhe-wang/), [Jingyuan Chen](https://md.research.elamur.ai/free/en/authors/jingyuan-chen/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139727142) · [**h-index 1**](https://openalex.org/authors/A5139727142) · [3 works](https://openalex.org/works?filter=author.id:A5139727142) · [1 citations](https://openalex.org/works?filter=author.id:A5139727142&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qin-zhou/#papers) · [⭐ Paper Stars ranking: #13855](https://md.research.elamur.ai/free/en/paper-stars/page/139/#star-13855) 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=Qin+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qin+Zhou) · [dblp](https://dblp.org/search?q=Qin+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Qin+Zhou) ## Affiliations [🔬**Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education** Shanghai · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/key-laboratory-of-smart-manufacturing-in-energy-chemical-process-ministry-of/) · [🎓**East China University of Science and Technology** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/east-china-university-of-science-and-technology/) 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Radiology, Nuclear Medicine and Imaging · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/radiology-nuclear-medicine-and-imaging/) 🧭 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/qin-zhou/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning](https://md.research.elamur.ai/free/en/papers/zhou-2026-enhancing-reinforcement-learning-radiology-report/)** *(2026)* The paper addresses two weaknesses of reinforcement-learning approaches to automatic radiology report generation (RRG). 2. **[Specialization without Sparsity: Efficient and Expressive Split-Path Experts for LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/liu-2026-specialization-without-sparsity-efficient-expressive/)** *(2026)* Parameter-efficient fine-tuning (PEFT) makes adapting large language models affordable, but its small trainable space limits expressiveness. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Zhe Wang](https://md.research.elamur.ai/free/en/authors/zhe-wang/) ×2 - [Jingyuan Chen](https://md.research.elamur.ai/free/en/authors/jingyuan-chen/) ## 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 2 November 2026