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Yanping Huang

Yanping Huang has 3 papers in our library, in 2021–2023, most of them on Language models & pretraining; often with Hao Zhang, Lianmin Zheng, Yuanzhong Xu.

3 papers in our library · 2021–2023

OpenAlex · ORCID · Wikidata · h-index 17 · 189 works · 1,188 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 698 times in our library · ⭐ Paper Stars ranking: #2822

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

🏛️Chinese Academy of SciencesBeijing · China2021–2026 · 61 paperscurrent🔬Institute of High Energy PhysicsBeijing · China2012–2026 · 56 papersEmploymentcurrent🎓Johannes Gutenberg University MainzMainz · Germany2024–2026 · 47 paperscurrent🎓Sun Yat-sen UniversityGuangzhou · China2024–2026 · 43 paperscurrent🎓Charles UniversityPrague · Czechia2025–2026 · 26 paperscurrent🔬Laboratoire de Physique des 2 Infinis Irène Joliot-CurieOrsay · France2026 · 3 paperscurrent🎓University of SheffieldSheffield · United Kingdom2024–2025 · 32 papers🎓University of the PunjabLahore · Pakistan2023–2025 · 5 papers🎓East China University of Science and TechnologyShanghai · China2023–2025 · 4 papers🎓University of ManchesterManchester · United Kingdom2024–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Networks and Communications · 2 worksHardware and Architecture · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

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

 Works by year

2020s

20231 paper20221 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. GLaM: Efficient Scaling of Language Models with Mixture-of-Experts (2021 · 496 citations)
    Scaling dense language models such as GPT-3 improves few-shot learning, but the compute and energy needed to train and serve them grow steeply.
  2. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning (2022 · 279 citations)
    Training models with billions of parameters requires combining data, operator and pipeline parallelism. Until now, engineers either designed that combination by hand for a specific model and cluster, as with Megatron-LM's "3D parallelism", or used automatic tools that search only one kind of parallelism. Alpa takes a…
  3. AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (2023 · 170 citations)
    AlpaServe asks how to serve many large deep learning models on a shared GPU cluster when request traffic is highly bursty.

 Co-authors here

12 of 20 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 698 times (of the 149,439 papers whose bibliographies we read); 113 citing papers with a page here →.

Updated

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