---
title: "Ying Liu · Northeastern University — author profile and papers"
description: "Ying Liu, Northeastern University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ying-liu/"
---
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# Ying Liu

Ying Liu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/), [Gang Wu](https://md.research.elamur.ai/free/en/authors/gang-wu/), [Pengyuan Liu](https://md.research.elamur.ai/free/en/authors/pengyuan-liu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139750605) · [**h-index 0**](https://openalex.org/authors/A5139750605) · [4 works](https://openalex.org/works?filter=author.id:A5139750605) · [0 citations](https://openalex.org/works?filter=author.id:A5139750605&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ying-liu/#papers) · [⭐ Paper Stars ranking: #12308](https://md.research.elamur.ai/free/en/paper-stars/page/124/#star-12308)

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

## Affiliations

[🎓**Northeastern University** Shenyang · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🎓**Tsinghua University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [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/) · [Gender Studies · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/gender-studies/) · [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 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ying-liu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Prompt Optimization for Relation Extraction using Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-prompt-optimization-relation-extraction-reinforcement/)** *(2026)* Prompting LLMs for relation extraction (RE) avoids the large annotated corpora that supervised models need.
2. **[SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/su-2026-spagbias-uncovering-tracing-structured-spatial/)** *(2026)* LLMs are increasingly used in urban planning and other spatial tasks. Feminist geography holds that everyday places carry gendered meanings, so these models may reproduce or amplify that hierarchy. The authors present SPAGBias, described as the first systematic approach to quantifying how LLMs associate gender with…

## Co-authors here

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

- [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/)
- [Gang Wu](https://md.research.elamur.ai/free/en/authors/gang-wu/)
- [Pengyuan Liu](https://md.research.elamur.ai/free/en/authors/pengyuan-liu/)
- [Weikang Wang](https://md.research.elamur.ai/free/en/authors/weikang-wang/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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/)

Updated 1 November 2026
