---
title: "Yunke Zhang · Tsinghua University — author profile and papers"
description: "Yunke Zhang, Tsinghua University: 2 papers on Elamur Research (2025), h-index 2 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/yunke-zhang/"
---
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# Yunke Zhang

Yunke Zhang has 2 papers in our library, in 2025, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Caishuang Huang](https://md.research.elamur.ai/free/en/authors/caishuang-huang/), [Chenyang Shao](https://md.research.elamur.ai/free/en/authors/chenyang-shao/), [Fengli Xu](https://md.research.elamur.ai/free/en/authors/fengli-xu/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5029008539) · [**h-index 2**](https://openalex.org/authors/A5029008539) · [4 works](https://openalex.org/works?filter=author.id:A5029008539) · [71 citations](https://openalex.org/works?filter=author.id:A5029008539&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yunke-zhang/#papers) · [🔗 Cited 113 times in our library](https://md.research.elamur.ai/free/en/authors/yunke-zhang/cited-by/) · [⭐ Paper Stars ranking: #7412](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7412)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏥**Peking University Cancer Hospital** Beijing · China 2014–2020 · 2 papers](https://ror.org/00nyxxr91)

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 5 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2025-towards-large-reasoning-models-survey/)** *(2025 · 120 citations)* LLMs are increasingly used for complex, multi-step reasoning. Training them on human-written step-by-step solutions is very expensive. This survey, by a team mostly from Tsinghua University, describes how the field is moving toward "large reasoning models": systems whose reasoning improves when more compute is spent…
2. **[Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/yang-2025-beyond-boundaries-learning-universal-entity/)** *(2025 · 11 citations)* Open NER requires a model to find entities of any requested type in text from any domain, and even strong LLMs such as GPT-4 perform poorly at it.

## Co-authors here

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

- [Caishuang Huang](https://md.research.elamur.ai/free/en/authors/caishuang-huang/)
- [Chenyang Shao](https://md.research.elamur.ai/free/en/authors/chenyang-shao/)
- [Fengli Xu](https://md.research.elamur.ai/free/en/authors/fengli-xu/)
- [Jingyi Wang](https://md.research.elamur.ai/free/en/authors/jingyi-wang/)
- [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/)
- [Tao Gui](https://md.research.elamur.ai/free/en/authors/tao-gui/)
- [Xiao Wang](https://md.research.elamur.ai/free/en/authors/xiao-wang/)
- [Xiaochong Lan](https://md.research.elamur.ai/free/en/authors/xiaochong-lan/)
- [Yang Nan](https://md.research.elamur.ai/free/en/authors/yang-nan/)
- [Yuming Yang](https://md.research.elamur.ai/free/en/authors/yuming-yang/)
- [Zefang Zong](https://md.research.elamur.ai/free/en/authors/zefang-zong/)

## Venues

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

- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)

## Cited by

Papers of our library cite their works 113 times (of the 149,439 papers whose bibliographies we read); [35 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yunke-zhang/cited-by/).

Updated 2 November 2026
