---
title: "Junyao Yang — author profile and papers — Elamur Research"
description: "Junyao Yang, National University of Singapore: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/junyao-yang/"
---
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# Junyao Yang

Junyao Yang 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 [Cen Chen](https://md.research.elamur.ai/free/en/authors/cen-chen/), [Chen Qian](https://md.research.elamur.ai/free/en/authors/chen-qian/), [Dongrui Liu](https://md.research.elamur.ai/free/en/authors/dongrui-liu/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5123549519) · [**h-index 0**](https://openalex.org/authors/A5123549519) · [10 works](https://openalex.org/works?filter=author.id:A5123549519) · [0 citations](https://openalex.org/works?filter=author.id:A5123549519&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/junyao-yang/#papers) · [🔗 Cited 5 times in our library](https://md.research.elamur.ai/free/en/authors/junyao-yang/cited-by/) · [⭐ Paper Stars ranking: #10842](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10842)

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

## Affiliations

[🎓**National University of Singapore** Singapore · Singapore 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/)

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 7 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/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Papers

The most cited first (OpenAlex and our library).

1. **[PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration](https://md.research.elamur.ai/free/en/papers/zeng-2025-privacyrestore-privacy-preserving-inference-large/)** *(2025 · 13 citations)* Cloud-hosted LLMs receive user queries that may contain sensitive details, such as diagnoses or legal facts.
2. **[ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging](https://md.research.elamur.ai/free/en/papers/yang-2026-reasonany-incorporating-reasoning-capability-any/)** *(2026)* The paper tackles "Reasoning + X": giving domain-specialized LLMs (safety, biomedicine, finance) the long chain-of-thought skills of Large Reasoning Models.

## Co-authors here

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

- [Cen Chen](https://md.research.elamur.ai/free/en/authors/cen-chen/)
- [Chen Qian](https://md.research.elamur.ai/free/en/authors/chen-qian/)
- [Dongrui Liu](https://md.research.elamur.ai/free/en/authors/dongrui-liu/)
- [Haoran Li](https://md.research.elamur.ai/free/en/authors/haoran-li/)
- [Huiping Zhuang](https://md.research.elamur.ai/free/en/authors/huiping-zhuang/)
- [Jing Shao](https://md.research.elamur.ai/free/en/authors/jing-shao/)
- [Wen Shen](https://md.research.elamur.ai/free/en/authors/wen-shen/)
- [Yong Liu](https://md.research.elamur.ai/free/en/authors/yong-liu/)
- [Zhengdong Lu](https://md.research.elamur.ai/free/en/authors/zhengdong-lu/)
- [Ziqian Zeng](https://md.research.elamur.ai/free/en/authors/ziqian-zeng/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)

## Cited by

Papers of our library cite their works 5 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junyao-yang/cited-by/).

Updated 2 November 2026
