---
title: "Fei Yin — author profile and papers — Elamur Research"
description: "Fei Yin, Chinese Academy of Sciences: 2 papers on Elamur Research (2025–2026), h-index 36 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/fei-yin/"
---
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# Fei Yin

Fei Yin has 2 papers in our library, in 2025–2026, 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 [Ming-Liang Zhang](https://md.research.elamur.ai/free/en/authors/ming-liang-zhang/), [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/), [Chao Deng](https://md.research.elamur.ai/free/en/authors/chao-deng/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5039310938) · [ORCID](https://orcid.org/0000-0002-6412-9140) · [**h-index 36**](https://openalex.org/authors/A5039310938) · [157 works](https://openalex.org/works?filter=author.id:A5039310938) · [6,541 citations](https://openalex.org/works?filter=author.id:A5039310938&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/fei-yin/#papers) · [🔗 Cited 146 times in our library](https://md.research.elamur.ai/free/en/authors/fei-yin/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6016](https://md.research.elamur.ai/free/en/paper-stars/page/61/#star-6016)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2007–2026 · 136 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2007–2026 · 131 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2017–2026 · 57 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. 3 more institutions 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).[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/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/)

🧭 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

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/fei-yin/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/fei-yin/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[From System 1 to System 2: A Survey of Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2025-system-1-system-2-survey/)** *(2025 · 165 citations)* Conventional LLMs respond quickly and intuitively, much like the fast "System 1" of dual-process cognitive theory, but they often fail on problems that require careful multi-step analysis.
2. **[Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language](https://md.research.elamur.ai/free/en/papers/wang-2026-geoparsing-diagram-parsing-plane-solid/)** *(2026)* Multimodal LLMs often fail at geometry problems because they misread diagrams. They miss or invent points, lines, and relations. Prior diagram-parsing work, such as PGDP5K and FormalGeo7K, handled only plane figures. The authors build a single formal language that adopts the predicate-style notation of PGPS9K and…

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting ↗](https://doi.org/10.1109/iccv.2019.00917) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Wei Feng et al.*2019 · 227 citations*
2. [**From System 1 to System 2: A Survey of Reasoning Large Language Models arXiv:2502.17419**Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al.*2025 · 165 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-system-1-system-2-survey/)
3. **[Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language](https://md.research.elamur.ai/free/en/papers/wang-2026-geoparsing-diagram-parsing-plane-solid/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peijie Wang, Ming-Liang Zhang, Jun Cao, et al.*2026*

## Co-authors here

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

- [Ming-Liang Zhang](https://md.research.elamur.ai/free/en/authors/ming-liang-zhang/) ×2
- [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/)
- [Chao Deng](https://md.research.elamur.ai/free/en/authors/chao-deng/)
- [Duzhen Zhang](https://md.research.elamur.ai/free/en/authors/duzhen-zhang/)
- [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/)
- [Jiaxin Zhang](https://md.research.elamur.ai/free/en/authors/jiaxin-zhang/)
- [Jun Song](https://md.research.elamur.ai/free/en/authors/jun-song/)
- [Peijie Wang](https://md.research.elamur.ai/free/en/authors/peijie-wang/)
- [Pi Bu](https://md.research.elamur.ai/free/en/authors/pi-bu/)
- [Xuan Zhang](https://md.research.elamur.ai/free/en/authors/xuan-zhang/)
- [Zhong-Zhi Li](https://md.research.elamur.ai/free/en/authors/zhong-zhi-li/)

## 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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- IEEE/CVF International Conference on Computer Vision (ICCV)

## Cited by

Papers of our library cite their works 146 times (of the 149,439 papers whose bibliographies we read); [49 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fei-yin/cited-by/).

Updated 1 November 2026
