---
title: "Guanrou Yang — author profile and papers — Elamur Research"
description: "Guanrou Yang, Shanghai Jiao Tong University: 2 papers on Elamur Research (2026), h-index 6 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/guanrou-yang/"
---
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# Guanrou Yang

Guanrou Yang 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Tianrui Wang](https://md.research.elamur.ai/free/en/authors/tianrui-wang/), [Ziyang Ma](https://md.research.elamur.ai/free/en/authors/ziyang-ma/), [Bing Han](https://md.research.elamur.ai/free/en/authors/bing-han/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5111310847) · [ORCID](https://orcid.org/0009-0008-3614-1346) · [**h-index 6**](https://openalex.org/authors/A5111310847) · [28 works](https://openalex.org/works?filter=author.id:A5111310847) · [85 citations](https://openalex.org/works?filter=author.id:A5111310847&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/guanrou-yang/#papers) · [⭐ Paper Stars ranking: #13575](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13575)

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

## Affiliations

[🎓**Shanghai Jiao Tong University** Shanghai · China 2023–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Shanghai Innovation Institute** Shanghai · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-innovation-institute/) · [🏢**Tencent** Shenzhen · China 2026 · 2 papers*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. 1 more institution 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).[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/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [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/guanrou-yang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Evaluating the Expressive Appropriateness of Speech in Rich Contexts](https://md.research.elamur.ai/free/en/papers/wang-2026-evaluating-expressive-appropriateness-speech-rich/)** *(2026)* Current speech evaluation tools mostly score naturalness, signal quality or emotional intensity for single utterances.
2. **[Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training](https://md.research.elamur.ai/free/en/papers/yang-2026-fine-grained-multi-granular-contrastive/)** *(2026)* Speech–text contrastive models usually learn speaking style from coarse captions or narrow task labels. Existing style-caption corpora are typically built by first assigning discrete tags and then having an LLM rewrite them as prose, which loses nuance and spreads labeling mistakes. The authors address this with…

## Co-authors here

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

- [Tianrui Wang](https://md.research.elamur.ai/free/en/authors/tianrui-wang/) ×2
- [Ziyang Ma](https://md.research.elamur.ai/free/en/authors/ziyang-ma/) ×2
- [Bing Han](https://md.research.elamur.ai/free/en/authors/bing-han/)
- [Haoyu Wang](https://md.research.elamur.ai/free/en/authors/haoyu-wang/)
- [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/)
- [Long Zhou](https://md.research.elamur.ai/free/en/authors/long-zhou/)
- [Wei Wang](https://md.research.elamur.ai/free/en/authors/wei-wang/)
- [Xie Chen](https://md.research.elamur.ai/free/en/authors/xie-chen/)
- [Xu Tan](https://md.research.elamur.ai/free/en/authors/xu-tan/)
- [Yifan Yang](https://md.research.elamur.ai/free/en/authors/yifan-yang/)
- [Yuheng Lu](https://md.research.elamur.ai/free/en/authors/yuheng-lu/)
- [Zhikang Niu](https://md.research.elamur.ai/free/en/authors/zhikang-niu/)

## 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/) ×2

Updated 2 November 2026
