--- title: "Jun Rao — author profile and papers — Elamur Research" description: "Jun Rao, Harbin Institute of Technology: 2 papers on Elamur Research (2026), h-index 8 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/jun-rao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jun-rao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jun Rao # Jun Rao Jun Rao has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jiansheng Wei](https://md.research.elamur.ai/free/en/authors/jiansheng-wei/), [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/), [Xiaojun Meng](https://md.research.elamur.ai/free/en/authors/xiaojun-meng/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5053687590) · [ORCID](https://orcid.org/0000-0001-5804-1508) · [**h-index 8**](https://openalex.org/authors/A5053687590) · [21 works](https://openalex.org/works?filter=author.id:A5053687590) · [297 citations](https://openalex.org/works?filter=author.id:A5053687590&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jun-rao/#papers) · [🔗 Cited 5 times in our library](https://md.research.elamur.ai/free/en/authors/jun-rao/cited-by/) · [⭐ Paper Stars ranking: #10291](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10291) 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=Jun+Rao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jun+Rao) · [dblp](https://dblp.org/search?q=Jun+Rao) · [ACL Anthology](https://aclanthology.org/search/?q=Jun+Rao) ## Affiliations [🎓**Harbin Institute of Technology** Harbin · China 2021–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🏢**Tencent** Shenzhen · China 2020 · 2 papers](https://md.research.elamur.ai/free/en/companies/tencent/) 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 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.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jun-rao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/rao-2026-dynamic-sampling-that-adapts-self/)** *(2026 · 4 citations)* Data selection for training math-reasoning LLMs usually depends on fixed difficulty labels or external scorers. 2. **[MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data Synthesis](https://md.research.elamur.ai/free/en/papers/yu-2026-mathagent-adversarial-evolution-constraint-graphs/)** *(2026 · 3 citations)* Synthetic data for mathematical reasoning is often built either by mutating human-curated seed problems, which limits diversity to the seeds' scope, or by prompting models from scratch, which tends toward repetitive, shallow problems (mode collapse). ## Co-authors here 6 co-authors with a page, the most papers together first. - [Jiansheng Wei](https://md.research.elamur.ai/free/en/authors/jiansheng-wei/) ×2 - [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/) ×2 - [Xiaojun Meng](https://md.research.elamur.ai/free/en/authors/xiaojun-meng/) ×2 - [Zixiong Yu](https://md.research.elamur.ai/free/en/authors/zixiong-yu/) ×2 - [Bohan Li](https://md.research.elamur.ai/free/en/authors/bohan-li/) - [Xuebo Liu](https://md.research.elamur.ai/free/en/authors/xuebo-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 5 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jun-rao/cited-by/). Updated 1 November 2026