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Chen Liang

Chen Liang has 3 papers in our library, in 2021–2024, most of them on Language models & pretraining; often with Yelong Shen, David Patterson, David R. So.

3 papers in our library · 2021–2024

OpenAlex · ORCID · Wikidata · h-index 38 · 329 works · 5,901 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 399 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #4420

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

🎓Shantou UniversityShantou · China2019–2026 · 33 papersEmployment since 2019 · Associate professor, Department of Computer Science and Technologycurrent🎓Peking UniversityBeijing · China2020–2026 · 17 paperscurrent🎓Jilin Provincial Institute of EducationChangchun · China2024–2026 · 2 paperscurrent🎓University of Northern British ColumbiaPrince George · Canada2002–2019 · 17 papers🎓Virginia TechBlacksburg · United States1993–1996 · 16 papers🎓University of MacauMacao · China2016–2022 · 13 papersEmployment 2016–2019 · postdoctoral fellow🎓Fudan UniversityShanghai · China2016–2025 · 9 papers🎓Hubei University of Chinese MedicineWuhan · China2019–2025 · 7 papers🎓Dalian University of TechnologyDalian · China2009–2024 · 5 papers🎓Jilin UniversityChangchun · China2004–2024 · 5 papersEducation 2004–2008 · bachelorEducation 2008–2011 · masterEducation 2011–2016 · doctor

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 130 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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksEngineering · 1 workElectrical and Electronic Engineering · 1 workHardware and Architecture · 1 workInformation Systems · 1 workArts and Humanities · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20242 papers20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Carbon Emissions and Large Neural Network Training (2021 · 323 citations)
    The paper asks how much electricity and greenhouse-gas output (CO2e) the training of large NLP models actually requires.
  2. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling (2024 · 59 citations)
    Language models struggle with very long inputs. Full attention scales quadratically with sequence length, while state space models (SSMs) are linear but recall specific details poorly. The authors propose Samba, a hybrid that stacks Mamba layers, SwiGLU MLPs and Sliding Window Attention (SWA, window 2048) in…
  3. GRIN: GRadient-INformed MoE (2024 · 7 citations)
    Mixture-of-Experts (MoE) models activate only a few expert subnetworks per token. However, the discrete routing step has no true gradient, so standard training substitutes the gating gradient. Large-scale MoE training also usually relies on expert parallelism, which forces capacity limits and discards overflow…

All works

9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Carbon Emissions and Large Neural Network TrainingarXiv:2104.10350David Patterson, Joseph Gonzalez, Quoc Le, et al.2021 · 323 citations
  2. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
  3. Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLiang Chen et al.2022 · 51 citations
  4. Hierarchical Curriculum Learning for AMR Parsing ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetPeiyi Wang et al.2022 · 18 citations
  5. Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models ↗arXiv:2410.11195 · no summary yetXiao Peng, Liang Chen2024 · 8 citations
  6. GRIN: GRadient-INformed MoEarXiv:2409.12136Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.2024 · 7 citations
  7. Guiding AMR Parsing with Reverse Graph Linearization ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetBofei Gao et al.2023 · 4 citations
  8. Unified Functional Hashing in Automatic Machine Learning ↗arXiv (Cornell University) · no summary yetRyan Gillard et al.2023 · 2 citations
  9. A new diagnostic system for J-E translation ILTS by global matching algorithm and POST parser ↗Proceedings of Machine Translation Summit VII · no summary yetLiang Chen, Naoyuki Tokuda1999 · 1 citation

 Co-authors here

12 of 19 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 399 times (of the 149,439 papers whose bibliographies we read); 53 citing papers with a page here →.

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