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Yu Pan

Yu Pan has 2 papers in our library, in 2025–2026, most of them on Speech & spoken language, Multilingual & cross-lingual NLP; often with Fangcheng Liu, Hang Zhou, Wei Guo.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 8 · 25 works · 141 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 8 times in our library · ⭐ Paper Stars ranking: #10210

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Kyushu UniversityFukuoka · Japan2024–2026 · 6 paperscurrent🎓National University of Defense TechnologyChangsha · China2022–2025 · 13 papers🎓PLA Army Engineering UniversityNanjing · China2022–2024 · 8 papers

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workHardware and Architecture · 1 workSignal Processing · 1 work

🧭 Topics 2Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs (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 (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.

Venues

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

 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 →.

Updated

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