--- title: "Chen Liang · Peking University — author profile and papers" description: "Chen Liang, Peking University: 3 papers on Elamur Research (2021–2024), h-index 38 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/chen-liang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chen-liang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chen Liang # Chen Liang Chen Liang has 3 papers in our library, in 2021–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Yelong Shen](https://md.research.elamur.ai/free/en/authors/yelong-shen/), [David Patterson](https://md.research.elamur.ai/free/en/authors/david-patterson/), [David R. So](https://md.research.elamur.ai/free/en/authors/david-r-so/). 3 papers in our library · 2021–2024 [OpenAlex](https://openalex.org/A5031520395) · [ORCID](https://orcid.org/0000-0001-6644-477X) · [Wikidata](https://www.wikidata.org/wiki/Q86121539) · [**h-index 38**](https://openalex.org/authors/A5031520395) · [329 works](https://openalex.org/works?filter=author.id:A5031520395) · [5,901 citations](https://openalex.org/works?filter=author.id:A5031520395&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/chen-liang/#papers) · [🔗 Cited 399 times in our library](https://md.research.elamur.ai/free/en/authors/chen-liang/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4420](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4420) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Chen+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chen+Liang) · [dblp](https://dblp.org/search?q=Chen+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Chen+Liang) ## Affiliations [🎓**Shantou University** Shantou · China 2019–2026 · 33 papersEmployment since 2019 · Associate professor, Department of Computer Science and Technology*current*](https://ror.org/01a099706) · [🎓**Peking University** Beijing · China 2020–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Jilin Provincial Institute of Education** Changchun · China 2024–2026 · 2 papers*current*](https://ror.org/04czqmc69) · [🎓**University of Northern British Columbia** Prince George · Canada 2002–2019 · 17 papers](https://ror.org/025wzwv46) · [🎓**Virginia Tech** Blacksburg · United States 1993–1996 · 16 papers](https://md.research.elamur.ai/free/en/universities/virginia-tech/) · [🎓**University of Macau** Macao · China 2016–2022 · 13 papersEmployment 2016–2019 · postdoctoral fellow](https://md.research.elamur.ai/free/en/universities/university-of-macau/) · [🎓**Fudan University** Shanghai · China 2016–2025 · 9 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Hubei University of Chinese Medicine** Wuhan · China 2019–2025 · 7 papers](https://ror.org/02my3bx32) · [🎓**Dalian University of Technology** Dalian · China 2009–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/dalian-university-of-technology/) · [🎓**Jilin University** Changchun · China 2004–2024 · 5 papersEducation 2004–2008 · bachelorEducation 2008–2011 · masterEducation 2011–2016 · doctor](https://md.research.elamur.ai/free/en/universities/jilin-university/) 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/chen-liang/year/2024/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/chen-liang/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[Carbon Emissions and Large Neural Network Training](https://md.research.elamur.ai/free/en/papers/patterson-2021-carbon-emissions-large-neural-network/)** *(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](https://md.research.elamur.ai/free/en/papers/ren-2024-samba-simple-hybrid-state-space/)** *(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](https://md.research.elamur.ai/free/en/papers/liu-2024-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 Training arXiv:2104.10350**David Patterson, Joseph Gonzalez, Quoc Le, et al.*2021 · 323 citations*](https://md.research.elamur.ai/free/en/papers/patterson-2021-carbon-emissions-large-neural-network/) 2. [**Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling arXiv:2406.07522**Liliang Ren, Yang Liu, Yadong Lu, et al.*2024 · 59 citations*](https://md.research.elamur.ai/free/en/papers/ren-2024-samba-simple-hybrid-state-space/) 3. **[Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation ↗](https://doi.org/10.1109/cvpr52688.2022.01566) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Liang Chen et al.*2022 · 51 citations* 4. **[Hierarchical Curriculum Learning for AMR Parsing ↗](https://aclanthology.org/2022.acl-short.37/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Peiyi Wang et al.*2022 · 18 citations* 5. **[Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models ↗](https://arxiv.org/abs/2410.11195) arXiv:2410.11195 · no summary yet**Xiao Peng, Liang Chen*2024 · 8 citations* 6. [**GRIN: GRadient-INformed MoE arXiv:2409.12136**Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-grin-gradient-informed-moe/) 7. **[Guiding AMR Parsing with Reverse Graph Linearization ↗](https://aclanthology.org/2023.findings-emnlp.2/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Bofei Gao et al.*2023 · 4 citations* 8. **[Unified Functional Hashing in Automatic Machine Learning ↗](https://arxiv.org/abs/2302.05433) arXiv (Cornell University) · no summary yet**Ryan Gillard et al.*2023 · 2 citations* 9. **[A new diagnostic system for J-E translation ILTS by global matching algorithm and POST parser ↗](https://aclanthology.org/1999.mtsummit-1.91/) Proceedings of Machine Translation Summit VII · no summary yet**Liang Chen, Naoyuki Tokuda*1999 · 1 citation* ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Yelong Shen](https://md.research.elamur.ai/free/en/authors/yelong-shen/) ×2 - [David Patterson](https://md.research.elamur.ai/free/en/authors/david-patterson/) - [David R. So](https://md.research.elamur.ai/free/en/authors/david-r-so/) - [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/) - [Jeff Dean](https://md.research.elamur.ai/free/en/authors/jeff-dean/) - [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/) - [Liliang Ren](https://md.research.elamur.ai/free/en/authors/liliang-ren/) - [Liyuan Liu](https://md.research.elamur.ai/free/en/authors/liyuan-liu/) - [Masahiro Tanaka](https://md.research.elamur.ai/free/en/authors/masahiro-tanaka/) - [Quoc Viet Le](https://md.research.elamur.ai/free/en/authors/quoc-viet-le/) - [Shuohang Wang](https://md.research.elamur.ai/free/en/authors/shuohang-wang/) - [Vishrav Chaudhary](https://md.research.elamur.ai/free/en/authors/vishrav-chaudhary/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) - Findings of the Association for Computational Linguistics: EMNLP 2023 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - Proceedings of Machine Translation Summit VII - Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) ## 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 →](https://md.research.elamur.ai/free/en/authors/chen-liang/cited-by/). Updated 30 October 2026