Elamur Research⌕
☰
home / authors / Eddie Yan

Eddie Yan

Eddie Yan has 2 papers in our library, in 2018–2019; often with Arvind Krishnamurthy, Carlos Guestrin, Lianmin Zheng.

2 papers in our library · 2018–2019

OpenAlex · h-index 9 · 16 works · 2,136 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 532 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #1871

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

🎓University of WashingtonSeattle · United States2017–2021 · 7 paperscurrent🏢NvidiaSanta Clara · United States2021 · 1 papercurrent🎓University of California, Los AngelesLos Angeles · United States2014–2016 · 5 papers

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 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksHardware and Architecture · 2 works

 Works by year

2010s

20191 paper20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. TVM: An Automated End-to-End Optimizing Compiler for Deep Learning (2018 · 1,384 citations)
    Deep learning models increasingly need to run on very different hardware: server GPUs, phones, embedded boards, and custom accelerators such as FPGAs and TPU-like chips.
  2. Learning to Optimize Tensor Programs (2019 · 269 citations)
    Deep learning systems depend on fast tensor operators such as matrix multiplication and convolution. Today these come mostly from hand-tuned vendor libraries like cuDNN, which cover only a narrow set of hardware and make every new device expensive to support. The authors treat operator implementation as a search…

All works

3 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. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 citations
  2. Learning to Optimize Tensor ProgramsarXiv:1805.08166Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.2019 · 269 citations
  3. A Hardware–Software Blueprint for Flexible Deep Learning Specialization ↗IEEE Micro · no summary yetThierry Moreau et al.2019 · 184 citations

 Co-authors here

8 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 532 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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