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Yuyang Dong

Yuyang Dong has 2 papers in our library, in 2026, most of them on Language models & pretraining, Information retrieval & search, Efficient models & compression; often with Chuan Xiao, Masafumi Oyamada.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 10 · 31 works · 380 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11325

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

🎓Wenzhou UniversityWenzhou · China2024–2025 · 3 papers🏢NECTokyo · Japan2022–2024 · 3 papers🎓Nagoya UniversityNagoya · Japan2023–2024 · 3 papers🎓The University of OsakaOsaka · Japan2023–2024 · 3 papers🏥Fourth Hospital of Hebei Medical UniversityShijiazhuang · China2022–2025 · 2 papers🎓Hebei Medical UniversityShijiazhuang · China2022–2025 · 2 papers🏥Anshan HospitalAnshan · China2024 · 2 papers🎓Virginia TechBlacksburg · United States2023–2024 · 2 papers🎓Taiyuan University of TechnologyTaiyuan · China2005 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workEfficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference (2026 · 1 citation)
    Layer-wise token pruning reduces the KV cache during LLM inference. It keeps only a subset of important tokens beyond a certain Transformer layer. Existing methods such as FastKV and GemFilter fix this "selection layer" in advance, regardless of the task. A layer that suits easy QA can therefore fail badly on harder…
  2. SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation (2026 · 1 citation)
    RAG systems over visually rich documents such as reports, manuals and flyers increasingly depend on VLMs. These models either transcribe page regions into text (textual RAG) or read page images directly (visual RAG). Giving a VLM an entire dense page works poorly. Conventional layout analysers like DocLayout-YOLO go…

 Co-authors here

2 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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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