---
title: "Xianrong Yao — author profile and papers · Sentiment & emotion"
description: "Xianrong Yao, South China University of Technology: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/xianrong-yao/"
---
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# Xianrong Yao

Xianrong Yao has 2 papers in our library, in 2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Dong She](https://md.research.elamur.ai/free/en/authors/dong-she/), [Yang Gao](https://md.research.elamur.ai/free/en/authors/yang-gao/), [Zhanpeng Jin](https://md.research.elamur.ai/free/en/authors/zhanpeng-jin/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5066574289) · [ORCID](https://orcid.org/0009-0001-1965-4499) · [**h-index 1**](https://openalex.org/authors/A5066574289) · [15 works](https://openalex.org/works?filter=author.id:A5066574289) · [1 citations](https://openalex.org/works?filter=author.id:A5066574289&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xianrong-yao/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12285](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12285)

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

## Affiliations

[🎓**South China University of Technology** Guangzhou · China 2025–2026 · 5 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/)

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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Experimental and Cognitive Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/)

🧭 Topics 2 Research subjects and languages the work is about.[Sentiment & emotion · 2 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis](https://md.research.elamur.ai/free/en/papers/she-2026-aica-bench-holistically-examining-capabilities/)** *(2026)* Existing emotion benchmarks for vision-language models mostly check whether a model can choose the right emotion label for an image. AICA-Bench tests a broader skill set across three tasks:
2. **[EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness](https://md.research.elamur.ai/free/en/papers/sun-2026-emomm-benchmarking-steering-mllm-multimodal/)** *(2026)* The paper asks how multimodal large language models (MLLM) actually weigh text, audio and video when recognizing emotion, especially when those signals contradict each other or one is absent.

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis](https://md.research.elamur.ai/free/en/papers/she-2026-aica-bench-holistically-examining-capabilities/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dong She, Xianrong Yao, Liqun Chen, et al.*2026*
2. **[EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness](https://md.research.elamur.ai/free/en/papers/sun-2026-emomm-benchmarking-steering-mllm-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yueru Sun, Yimeng Zhang, Haoyu Gu, et al.*2026*
3. **[Persona-E\texttwosuperior: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events ↗](https://aclanthology.org/2026.acl-long.1350/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yuqin Yang et al.*2026*

## Co-authors here

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

- [Dong She](https://md.research.elamur.ai/free/en/authors/dong-she/) ×2
- [Yang Gao](https://md.research.elamur.ai/free/en/authors/yang-gao/) ×2
- [Zhanpeng Jin](https://md.research.elamur.ai/free/en/authors/zhanpeng-jin/) ×2
- [Liqun Chen](https://md.research.elamur.ai/free/en/authors/liqun-chen/)
- [Nuo Chen](https://md.research.elamur.ai/free/en/authors/nuo-chen/)
- [Yimeng Zhang](https://md.research.elamur.ai/free/en/authors/yimeng-zhang/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Updated 1 November 2026
