---
title: "Fan Yin — author profile and papers — Elamur Research"
description: "Fan Yin, Lanzhou Jiaotong University: 4 papers on Elamur Research (2019–2025), h-index 18 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/fan-yin/"
---
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# Fan Yin

Fan Yin has 4 papers in our library, in 2019–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/), [Arianna Yuan](https://md.research.elamur.ai/free/en/authors/arianna-yuan/), [Boyi Wei](https://md.research.elamur.ai/free/en/authors/boyi-wei/).

4 papers in our library · 2019–2025

[OpenAlex](https://openalex.org/A5053347296) · [ORCID](https://orcid.org/0000-0002-8028-2217) · [Wikidata](https://www.wikidata.org/wiki/Q99349742) · [**h-index 18**](https://openalex.org/authors/A5053347296) · [85 works](https://openalex.org/works?filter=author.id:A5053347296) · [1,905 citations](https://openalex.org/works?filter=author.id:A5053347296&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/fan-yin/#papers) · [🔗 Cited 241 times in our library](https://md.research.elamur.ai/free/en/authors/fan-yin/cited-by/) · [⭐ Paper Stars ranking: #3787](https://md.research.elamur.ai/free/en/paper-stars/page/38/#star-3787)

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

## Affiliations

[🎓**Lanzhou Jiaotong University** Lanzhou · China 2019–2026 · 8 papers*current*](https://ror.org/03144pv92) · [🎓**University of California, Irvine** Irvine · United States 2019–2023 · 14 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-california-irvine/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2019–2025 · 13 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2019–2025 · 13 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Institute of Acoustics** Beijing · China 2019–2025 · 8 papers](https://ror.org/00v8rqv75) · [🔬**State Key Laboratory of Acoustics** Beijing 2019–2025 · 8 papers](https://ror.org/01prrh334) · [🔬**Fujian Institute of Research on the Structure of Matter** Fuzhou · China 2024–2025 · 5 papers](https://ror.org/02j89k719) · [🔬**State Key Laboratory of Structural Chemistry** Fuzhou 2024–2025 · 5 papers](https://ror.org/023fpv336) · [🎓**Wuhan Polytechnic University** Wuhan · China 2013–2014 · 4 papers](https://ror.org/05w0e5j23) · [🎓**National University of Defense Technology** Changsha · China 2018–2024 · 3 papers](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. 17 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/concepts/information-extraction/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/fan-yin/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/fan-yin/year/2024/)

### 2010s

[**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/fan-yin/year/2019/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Entity-Relation Extraction as Multi-Turn Question Answering](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/)** *(2019 · 443 citations)* The paper addresses joint extraction of entities and relations from raw text. The authors argue that the usual triplet format, REL(e1, e2), cannot capture hierarchical dependencies between tags. For example, a person's position depends on the company, and a time period depends on that position. They reformulate the…
2. **[On Prompt-Driven Safeguarding for Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2024-prompt-driven-safeguarding-large-language/)** *(2024 · 85 citations)* Safety prompts are system-level instructions placed before user input. They are a common, lightweight way to make chat LLMs decline harmful requests, but it has been unclear why they work, which makes them hard to improve automatically. The authors examine this through the models' internal representations. They built…
3. **[Red Teaming Language Model Detectors with Language Models](https://md.research.elamur.ai/free/en/papers/shi-2024-red-teaming-language-model-detectors/)** *(2024 · 62 citations)* Detectors that flag LLM-generated text are proposed as a safeguard against misuse such as plagiarism or mass misinformation, but it was unclear how well they resist deliberate evasion.
4. **[Scaling Latent Reasoning via Looped Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2025-scaling-latent-reasoning-looped-language/)** *(2025 · 22 citations)* Most large language models learn to reason through explicit chain-of-thought added after pre-training. This lengthens outputs and makes little use of pre-training data. The authors propose Ouro, a family of Looped Language Models (LoopLM) in which a stack of weight-tied layers is applied several times, so hidden…

## Co-authors here

12 of 20 co-authors with a page, the most papers together first.

- [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) ×2
- [Arianna Yuan](https://md.research.elamur.ai/free/en/authors/arianna-yuan/)
- [Boyi Wei](https://md.research.elamur.ai/free/en/authors/boyi-wei/)
- [Cho-Jui Hsieh](https://md.research.elamur.ai/free/en/authors/cho-jui-hsieh/)
- [Chujie Zheng](https://md.research.elamur.ai/free/en/authors/chujie-zheng/)
- [Fandong Meng](https://md.research.elamur.ai/free/en/authors/fandong-meng/)
- [Hao Zhou](https://md.research.elamur.ai/free/en/authors/hao-zhou/)
- [Haoran Que](https://md.research.elamur.ai/free/en/authors/haoran-que/)
- [Jiajun Shi](https://md.research.elamur.ai/free/en/authors/jiajun-shi/)
- [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/)
- [Jiwei Li](https://md.research.elamur.ai/free/en/authors/jiwei-li/)
- [Lu Li](https://md.research.elamur.ai/free/en/authors/lu-li/)

## 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/): [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2024](https://md.research.elamur.ai/free/en/venues/tacl/2024/)

## Cited by

Papers of our library cite their works 241 times (of the 149,439 papers whose bibliographies we read); [57 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fan-yin/cited-by/).

Updated 2 November 2026
