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Yao Chen

Yao Chen has 3 papers in our library, in 2021–2026, most of them on Reasoning, Efficient models & compression; often with Tingwen Liu, Wenyuan Zhang, Deming Chen.

3 papers in our library · 2021–2026

OpenAlex · ORCID · h-index 13 · 75 works · 696 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 79 times in our library · ⭐ Paper Stars ranking: #5540

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

🎓Harbin Institute of TechnologyHarbin · China2025–2026 · 4 paperscurrent🎓Boston UniversityBoston · United States2010–2026 · 3 paperscurrent🎓Lanzhou Jiaotong UniversityLanzhou · China2026 · 2 paperscurrent🎓Peking UniversityBeijing · China2026 · 1 papercurrent🔬State Key Laboratory of Robotics and SystemsHarbin · China2026 · 1 papercurrent🎓Southern University of Science and TechnologyShenzhen · China2021–2024 · 12 papers🏛️Chinese Academy of SciencesBeijing · China2010–2025 · 9 papers🔬Shenyang Institute of AutomationShenyang · China2005–2021 · 7 papers🔬State Key Laboratory of RoboticsLiaoning2010–2021 · 7 papers🎓Tsinghua Shenzhen International Graduate SchoolShenzhen · China2021–2024 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 25 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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workReasoning · 2 works

 Works by year

2020s

20261 paper20251 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Compressing Large-Scale Transformer-Based Models: A Case Study on BERT (2021 · 190 citations)
    Large pre-trained Transformers such as BERT deliver strong NLP results, but their size, memory footprint, and latency make them hard to run on phones, latency-sensitive services, or modest research hardware.
  2. AttnPO: Attention-Guided Process Supervision for Efficient Reasoning (2026 · 18 citations)
    Reasoning models trained with RLVR tend to overthink, producing long chains of thought with little benefit.
  3. Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information (2025 · 10 citations)
    Small language models are cheaper to deploy than large ones but reason less well. Chain-of-Thought (CoT) distillation usually just trains them on teacher-written rationales, with every token weighted the same. The authors observe that teacher models such as Llama3-8B shift their attention from step to step toward the…

 Co-authors here

11 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 79 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

Updated

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