Elamur Research⌕
☰
home / authors / Danyang Zhuo

Danyang Zhuo

Danyang Zhuo has 2 papers in our library, in 2022–2023; often with Arvind Krishnamurthy, Eric P. Xing, Hao Zhang.

2 papers in our library · 2022–2023

OpenAlex · ORCID · Wikidata · h-index 12 · 80 works · 660 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 420 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #5105

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

🎓Duke UniversityDurham · United States2020–2026 · 57 papersEmployment since 2020 · Assistant Professor, Computer Sciencecurrent🏢Duke EnergyCharlotte · United States2026 · 1 papercurrent🎓University of WashingtonSeattle · United States2013–2019 · 8 papersEducation 2013–2019 · PhD, Computer Science and Engineering🎓University of California, BerkeleyBerkeley · United States2019–2020 · 1 paperEmployment 2019–2020 · Postdoctoral Scholar, EECS🎓University of Illinois Urbana-ChampaignUrbana · United States2009–2013Education 2009–2013 · B.S., Electrical and Computer Engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 2 worksHardware and Architecture · 2 worksComputer Networks and Communications · 1 workComputer Vision and Pattern Recognition · 1 workArts and Humanities · 1 workArtificial Intelligence · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

 Works by year

2020s

20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. Punica: Multi-Tenant LoRA Serving (2023 · 81 citations)
    Organisations that fine-tune one base LLM with LoRA for many tenants usually end up running each adapter as a separate model.

All works

9 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. Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep LearningOSDI 2022Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.2022 · 279 citations
  2. Ansor: Generating High-Performance Tensor Programs for Deep Learning ↗arXiv:2006.06762 · no summary yetLianmin Zheng et al.2020 · 130 citations
  3. TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models ↗arXiv (Cornell University) · no summary yetZhuohan Li et al.2021 · 90 citations
  4. Punica: Multi-Tenant LoRA ServingMLSys 2024Lequn Chen, Zihao Ye, Yongji Wu, et al.2023 · 81 citations
  5. Fairness in Serving Large Language Models ↗arXiv (Cornell University) · no summary yetYing Sheng et al.2023 · 62 citations
  6. HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs ↗arXiv:2504.03871 · no summary yetYongji Wu et al.2025 · 10 citations
  7. Rearchitecting in-memory object stores for low latency ↗Proceedings of the VLDB Endowment · no summary yetDanyang Zhuo et al.2021 · 7 citations
  8. Foundry: Template-Based CUDA Graph Context Materialization for Fast LLM Serving Cold Start ↗arXiv:2604.06664 · no summary yetXueshen Liu et al.2026 · 2 citations
  9. Hoplite: Efficient Collective Communication for Task-Based Distributed Systems. ↗arXiv (Cornell University) · no summary yetSiyuan Zhuang et al.2020

 Co-authors here

12 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 420 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/danyang-zhuo/