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Fei Yin

Fei Yin has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning; often with Ming-Liang Zhang, Bo Zheng, Chao Deng.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 36 · 157 works · 6,541 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 146 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6016

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Chinese Academy of SciencesBeijing · China2007–2026 · 136 paperscurrent🔬Institute of AutomationBeijing · China2007–2026 · 131 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2017–2026 · 57 paperscurrent

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workComputational Theory and Mathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. From System 1 to System 2: A Survey of Reasoning Large Language Models (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 (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 ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetWei Feng et al.2019 · 227 citations
  2. From System 1 to System 2: A Survey of Reasoning Large Language ModelsarXiv:2502.17419Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al.2025 · 165 citations
  3. Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal LanguageFindings of the Association for Computational LinguisticsPeijie Wang, Ming-Liang Zhang, Jun Cao, et al.2026

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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