--- title: "Quanjun Yin — author profile and papers — Elamur Research" description: "Quanjun Yin, National University of Defense Technology: 2 papers on Elamur Research (2026), h-index 16 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/quanjun-yin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/quanjun-yin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Quanjun Yin # Quanjun Yin Quanjun Yin has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Chen Gao](https://md.research.elamur.ai/free/en/authors/chen-gao/), [Zhengqiu Zhu](https://md.research.elamur.ai/free/en/authors/zhengqiu-zhu/), [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5100610161) · [ORCID](https://orcid.org/0000-0002-1207-8660) · [**h-index 16**](https://openalex.org/authors/A5100610161) · [148 works](https://openalex.org/works?filter=author.id:A5100610161) · [871 citations](https://openalex.org/works?filter=author.id:A5100610161&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/quanjun-yin/#papers) · [⭐ Paper Stars ranking: #13097](https://md.research.elamur.ai/free/en/paper-stars/page/131/#star-13097) 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=Quanjun+Yin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Quanjun+Yin) · [dblp](https://dblp.org/search?q=Quanjun+Yin) · [ACL Anthology](https://aclanthology.org/search/?q=Quanjun+Yin) ## Affiliations [🎓**National University of Defense Technology** Changsha · China 2009–2026 · 133 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Automotive Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/automotive-engineering/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/quanjun-yin/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[CityCube: Benchmarking Cross-view Spatial Reasoning on Vision-Language Models in Urban Environments](https://md.research.elamur.ai/free/en/papers/xu-2026-citycube-benchmarking-cross-view-spatial/)** *(2026 · 1 citation)* Vision-language models increasingly act as the reasoning core of embodied agents such as drones, robots and self-driving cars. 2. **[Learn to Relax with Large Language Models: Solving Constraint Optimization Problems via Bidirectional Coevolution](https://md.research.elamur.ai/free/en/papers/liu-2026-learn-relax-large-language-models/)** *(2026)* Real-world constraint optimization problems (COPs) are often NP-hard. Hard constraints split the feasible region into fragments, so LLM-driven algorithm-design systems such as EoH, ReEvo and FunSearch get little useful feedback once feasible solutions become rare. The authors propose AutoCO, which makes the LLM an… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Chen Gao](https://md.research.elamur.ai/free/en/authors/chen-gao/) ×2 - [Zhengqiu Zhu](https://md.research.elamur.ai/free/en/authors/zhengqiu-zhu/) ×2 - [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/) - [Yong Li](https://md.research.elamur.ai/free/en/authors/yong-li/) - [Yong Zhao](https://md.research.elamur.ai/free/en/authors/yong-zhao/) - [Yue Hu](https://md.research.elamur.ai/free/en/authors/yue-hu/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 Updated 1 November 2026