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Biyuan Lin

Biyuan Lin has 2 papers in our library, in 2026, most of them on Language models & pretraining, Speech & spoken language; often with Guoyang Zeng, Jie Zhou, Junbo Cui.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 2 · 15 works · 62 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #10886

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

🎓Guangzhou Medical UniversityGuangzhou · China2024–2025 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSignal Processing · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling (2026 · 2 citations)
    Full attention in Transformers is costly for very long inputs. Compute grows quadratically with length, and the KV-Cache can reach tens or hundreds of gigabytes at million-token scale. Sparse attention cuts computation but still keeps the whole cache. Linear attention is cheap but compresses context lossily and loses…
  2. UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models (2026 · 1 citation)
    Evaluating audio foundation models (AFMs) is difficult because benchmarks and evaluation code are scattered across sources.

 Co-authors here

12 of 13 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 24 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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