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Jian Chen

Jian Chen has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Efficient models & compression; often with Chien Van Nguyen, Furu Wei, Jianyong Wang.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 9 · 44 works · 671 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 26 times in our library · ⭐ Paper Stars ranking: #8396

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

🎓Jiangnan UniversityWuxi · China2008–2025 · 3 paperscurrent🎓Harbin Engineering UniversityHarbin · China2016–2025 · 2 paperscurrent🎓University at Buffalo, State University of New YorkBuffalo · United States2019–2024 · 6 papers🎓Zhejiang Ocean UniversityZhoushan · China2021–2023 · 5 papers🎓University of Science and Technology BeijingBeijing · China2022–2024 · 2 papers🏛️Chinese Academy of SciencesBeijing · China2004–2021 · 2 papers🏛️Wuhan Academy of Agricultural SciencesWuhan · China2014–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 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 5The 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 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workEfficient models & compression · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey of Small Language Models (2024 · 31 citations)
    Large language models perform well but need heavy compute, memory and data, so they usually run on centralized, specialized hardware.
  2. Rectified Sparse Attention for Efficient Long-Sequence Generation (2026 · 1 citation)
    Large language models that produce very long outputs, such as extended reasoning chains, are slowed down by having to read the entire KV cache at every decoding step.

 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 26 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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