---
title: "Dexuan Xu · Peking University — author profile and papers"
description: "Dexuan Xu, Peking University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/dexuan-xu/"
---
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# Dexuan Xu

Dexuan Xu has 2 papers in our library, in 2026, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jianing Wang](https://md.research.elamur.ai/free/en/authors/jianing-wang/), [Yu Huang](https://md.research.elamur.ai/free/en/authors/yu-huang/), [Zhongyu Wei](https://md.research.elamur.ai/free/en/authors/zhongyu-wei/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139821318) · [**h-index 1**](https://openalex.org/authors/A5139821318) · [2 works](https://openalex.org/works?filter=author.id:A5139821318) · [1 citations](https://openalex.org/works?filter=author.id:A5139821318&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dexuan-xu/#papers) · [⭐ Paper Stars ranking: #12902](https://md.research.elamur.ai/free/en/paper-stars/page/130/#star-12902)

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

## Affiliations

[🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/)

🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [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/dexuan-xu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Listen, Pause, and Reason: Toward Perception-Grounded Hybrid Reasoning for Audio Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-listen-pause-reason-perception-grounded/)** *(2026 · 1 citation)* Large Audio Language Models often answer audio questions incorrectly because they misperceive the input. They confuse background noise with speech, mix up speakers, or reason from transcripts without using acoustic evidence. Drawing on Auditory Scene Analysis, the authors break perception into layers. They first…
2. **[Beyond Single View: A Comprehensive Benchmark for Medical Multimodal Large Language Models on Multi-Image Understanding](https://md.research.elamur.ai/free/en/papers/xu-2026-beyond-single-view-comprehensive-benchmark/)** *(2026)* Medical multimodal LLMs are usually tested on one image at a time, but clinicians routinely combine evidence from adjacent slices, follow-up scans, and different modalities.

## Co-authors here

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

- [Jianing Wang](https://md.research.elamur.ai/free/en/authors/jianing-wang/)
- [Yu Huang](https://md.research.elamur.ai/free/en/authors/yu-huang/)
- [Zhongyu Wei](https://md.research.elamur.ai/free/en/authors/zhongyu-wei/)

## 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 2 November 2026
