--- title: "Yuanzhong Xu · Brown Foundation — author profile and papers" description: "Yuanzhong Xu, Brown Foundation: 2 papers on Elamur Research (2021–2022), h-index 27 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yuanzhong-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuanzhong-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuanzhong Xu # Yuanzhong Xu Yuanzhong Xu has 2 papers in our library, in 2021–2022, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Yanping Huang](https://md.research.elamur.ai/free/en/authors/yanping-huang/), [Adams Wei Yu](https://md.research.elamur.ai/free/en/authors/adams-wei-yu/), [Andrew M. Dai](https://md.research.elamur.ai/free/en/authors/andrew-m-dai/). 2 papers in our library · 2021–2022 [OpenAlex](https://openalex.org/A5059281265) · [ORCID](https://orcid.org/0000-0002-5264-5324) · [Wikidata](https://www.wikidata.org/wiki/Q61827264) · [**h-index 27**](https://openalex.org/authors/A5059281265) · [58 works](https://openalex.org/works?filter=author.id:A5059281265) · [3,086 citations](https://openalex.org/works?filter=author.id:A5059281265&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuanzhong-xu/#papers) · [🔗 Cited 6,245 times in our library](https://md.research.elamur.ai/free/en/authors/yuanzhong-xu/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3212](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3212) 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=Yuanzhong+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuanzhong+Xu) · [dblp](https://dblp.org/search?q=Yuanzhong+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Yuanzhong+Xu) ## Affiliations [🎓**The University of Texas Health Science Center at Houston** Houston · United States 2010–2026 · 23 papersEmployment since 2010 · Instructor, McGovern Medical School*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-health-science-center-at-houston/) · [🔬**Brown Foundation** Houston · United States 2017–2026 · 8 papers*current*](https://ror.org/04j0y0e37) · [🔬**Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases** Houston · United States 2010–2024 · 21 papers](https://ror.org/03z258t47) · [🎓**Baylor College of Medicine** Houston · United States 2014–2023 · 18 papers](https://ror.org/02pttbw34) · [🏛️**Children's Nutrition Research Center at Baylor College of Medicine** Houston · United States 2014–2023 · 18 papers](https://ror.org/03s936v76) · [🎓**University of Verona** Verona · Italy 2006–2018 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-verona/) · [🎓**Central South University** Changsha · China 2001–2010 · 8 papersEducation 2001–2007 · PhD](https://md.research.elamur.ai/free/en/universities/central-south-university/) · [🏢**Google** Mountain View · United States 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Henan Medical University** Xinxiang · China 1996–2001Education 1996–2001 · B.S.](https://ror.org/038hzq450) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) 🧭 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 [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/yuanzhong-xu/year/2022/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/yuanzhong-xu/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[GLaM: Efficient Scaling of Language Models with Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/du-2021-glam-efficient-scaling-language-models/)** *(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](https://md.research.elamur.ai/free/en/papers/zheng-2022-alpa-automating-inter-intra-operator/)** *(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… ## All works 7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding ↗](https://arxiv.org/abs/2006.16668) arXiv:2006.16668 · no summary yet**Dmitry Lepikhin et al.*2020 · 894 citations* 2. [**GLaM: Efficient Scaling of Language Models with Mixture-of-Experts arXiv:2112.06905**Nan Du, Yanping Huang, Andrew M. Dai, et al.*2021 · 496 citations*](https://md.research.elamur.ai/free/en/papers/du-2021-glam-efficient-scaling-language-models/) 3. [**Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning OSDI 2022**Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.*2022 · 279 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-alpa-automating-inter-intra-operator/) 4. **[BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition ↗](https://doi.org/10.1109/jstsp.2022.3182537) IEEE Journal of Selected Topics in Signal Processing · no summary yet**Yu Zhang et al.*2022 · 180 citations* 5. **[GSPMD: General and Scalable Parallelization for ML Computation Graphs ↗](https://arxiv.org/abs/2105.04663) arXiv (Cornell University) · no summary yet**Yuanzhong Xu et al.*2021 · 119 citations* 6. **[Exploring the limits of Concurrency in ML Training on Google TPUs ↗](https://arxiv.org/abs/2011.03641) arXiv (Cornell University) · no summary yet**Sameer Kumar et al.*2020 · 14 citations* 7. **[Learning to Skip for Language Modeling ↗](https://arxiv.org/abs/2311.15436) arXiv (Cornell University) · no summary yet**Zeng, Dewen et al.*2023 · 8 citations* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Yanping Huang](https://md.research.elamur.ai/free/en/authors/yanping-huang/) ×2 - [Adams Wei Yu](https://md.research.elamur.ai/free/en/authors/adams-wei-yu/) - [Andrew M. Dai](https://md.research.elamur.ai/free/en/authors/andrew-m-dai/) - [Barret Zoph](https://md.research.elamur.ai/free/en/authors/barret-zoph/) - [Danyang Zhuo](https://md.research.elamur.ai/free/en/authors/danyang-zhuo/) - [Dmitry Lepikhin](https://md.research.elamur.ai/free/en/authors/dmitry-lepikhin/) - [Eric P. Xing](https://md.research.elamur.ai/free/en/authors/eric-p-xing/) - [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) - [Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/) - [Maxim Krikun](https://md.research.elamur.ai/free/en/authors/maxim-krikun/) - [Nan Du](https://md.research.elamur.ai/free/en/authors/nan-du/) - [Orhan Firat](https://md.research.elamur.ai/free/en/authors/orhan-firat/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE Journal of Selected Topics in Signal Processing - OSDI 2022 ## Cited by Papers of our library cite their works 6,245 times (of the 149,439 papers whose bibliographies we read); [1,290 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuanzhong-xu/cited-by/). Updated 2 November 2026