---
title: "Ruosi Wan — author profile and papers — Elamur Research"
description: "Ruosi Wan, StepFun AI: 2 papers on Elamur Research (2025), h-index 6 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ruosi-wan/"
---
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# Ruosi Wan

Ruosi Wan has 2 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jie Yan](https://md.research.elamur.ai/free/en/authors/jie-yan/), [Shijie Shang](https://md.research.elamur.ai/free/en/authors/shijie-shang/), [Yue Peng](https://md.research.elamur.ai/free/en/authors/yue-peng/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5010826431) · [ORCID](https://orcid.org/0000-0003-2115-6621) · [Wikidata](https://www.wikidata.org/wiki/Q131013197) · [**h-index 6**](https://openalex.org/authors/A5010826431) · [20 works](https://openalex.org/works?filter=author.id:A5010826431) · [151 citations](https://openalex.org/works?filter=author.id:A5010826431&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ruosi-wan/#papers) · [🔗 Cited 12 times in our library](https://md.research.elamur.ai/free/en/authors/ruosi-wan/cited-by/) · [⭐ Paper Stars ranking: #11805](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11805)

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=Ruosi+Wan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ruosi+Wan) · [dblp](https://dblp.org/search?q=Ruosi+Wan) · [ACL Anthology](https://aclanthology.org/search/?q=Ruosi+Wan)

## Affiliations

[🏢**StepFun AI** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/stepfun-ai/) · [🎓**Peking University** Beijing · China 2018–2024 · 8 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Baidu** Beijing · China 2019–2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/baidu/)

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).[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/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/ruosi-wan/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion](https://md.research.elamur.ai/free/en/papers/wu-2025-stepfun-formalizer-unlocking-autoformalization/)** *(2025 · 7 citations)* Autoformalization means converting natural-language math problems into formal statements, here in Lean 4. Current LLM approaches are still inaccurate. General-purpose models often misuse Lean details, such as calling functions that do not exist. Specialized translators trained on narrow annotated data tend to misread…
2. **[StepFun-Prover Preview: Let's Think and Verify Step by Step](https://md.research.elamur.ai/free/en/papers/shang-2025-stepfun-prover-preview-let-s/)** *(2025 · 5 citations)* LLM-based provers for Lean 4 usually need dozens of sampled attempts to find a valid proof, and extra samples bring shrinking gains.

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Jie Yan](https://md.research.elamur.ai/free/en/authors/jie-yan/) ×2
- [Shijie Shang](https://md.research.elamur.ai/free/en/authors/shijie-shang/) ×2
- [Yue Peng](https://md.research.elamur.ai/free/en/authors/yue-peng/) ×2
- [Yutong Wu](https://md.research.elamur.ai/free/en/authors/yutong-wu/) ×2
- [Chenrui Cao](https://md.research.elamur.ai/free/en/authors/chenrui-cao/)
- [Di Huang](https://md.research.elamur.ai/free/en/authors/di-huang/)
- [Lei Qi](https://md.research.elamur.ai/free/en/authors/lei-qi/)
- [Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/)
- [Xiangyu Zhang](https://md.research.elamur.ai/free/en/authors/xiangyu-zhang/)
- [Xing Hu](https://md.research.elamur.ai/free/en/authors/xing-hu/)
- [Xiong-hui Chen](https://md.research.elamur.ai/free/en/authors/xiong-hui-chen/)

## Cited by

Papers of our library cite their works 12 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/ruosi-wan/cited-by/).

Updated 3 November 2026
