---
title: "Yu Pan · Kyushu University — author profile and papers"
description: "Yu Pan, Kyushu University: 2 papers on Elamur Research (2025–2026), h-index 8 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yu-pan/"
---
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# Yu Pan

Yu Pan has 2 papers in our library, in 2025–2026, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Fangcheng Liu](https://md.research.elamur.ai/free/en/authors/fangcheng-liu/), [Hang Zhou](https://md.research.elamur.ai/free/en/authors/hang-zhou/), [Wei Guo](https://md.research.elamur.ai/free/en/authors/wei-guo/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5028107330) · [ORCID](https://orcid.org/0009-0000-4995-0689) · [**h-index 8**](https://openalex.org/authors/A5028107330) · [25 works](https://openalex.org/works?filter=author.id:A5028107330) · [141 citations](https://openalex.org/works?filter=author.id:A5028107330&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yu-pan/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/yu-pan/cited-by/) · [⭐ Paper Stars ranking: #10210](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10210)

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

## Affiliations

[🎓**Kyushu University** Fukuoka · Japan 2024–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/kyushu-university/) · [🎓**National University of Defense Technology** Changsha · China 2022–2025 · 13 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**PLA Army Engineering University** Nanjing · China 2022–2024 · 8 papers](https://ror.org/05mgp8x93)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions 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).[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/) · [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/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 2 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs](https://md.research.elamur.ai/free/en/papers/tang-2025-pangu-ultra-moe-train/)** *(2025 · 8 citations)* Training MoE language models with nearly a trillion parameters is hard: the hardware is underused because the set of experts each token activates changes at runtime, and the scale strains communication and memory.
2. **[S2ST-Omni: Hierarchical Language-Aware SpeechLLM Adaptation for Multilingual Speech-to-Speech Translation](https://md.research.elamur.ai/free/en/papers/pan-2026-s2st-omni-hierarchical-language-aware/)** *(2026)* S2ST-Omni targets multilingual speech-to-speech translation (S2ST). End-to-end systems in this area face hard trade-offs between sub-tasks, depend on scarce speech-to-speech parallel data and give no inspectable text. Earlier compositional pipelines use shallow interfaces and ignore the identity of the source…

## Co-authors here

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

- [Fangcheng Liu](https://md.research.elamur.ai/free/en/authors/fangcheng-liu/)
- [Hang Zhou](https://md.research.elamur.ai/free/en/authors/hang-zhou/)
- [Wei Guo](https://md.research.elamur.ai/free/en/authors/wei-guo/)
- [Yaoyuan Wang](https://md.research.elamur.ai/free/en/authors/yaoyuan-wang/)
- [Yehui Tang](https://md.research.elamur.ai/free/en/authors/yehui-tang/)
- [Yichun Yin](https://md.research.elamur.ai/free/en/authors/yichun-yin/)

## 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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/yu-pan/cited-by/).

Updated 1 November 2026
