--- title: "Luis Ceze · University of Washington — author profile and papers" description: "Luis Ceze, University of Washington: 4 papers on Elamur Research (2018–2023), h-index 64 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/luis-ceze/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/luis-ceze/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Luis Ceze # Luis Ceze Luis Ceze has 4 papers in our library, in 2018–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Arvind Krishnamurthy](https://md.research.elamur.ai/free/en/authors/arvind-krishnamurthy/), [Tianqi Chen](https://md.research.elamur.ai/free/en/authors/tianqi-chen/), [Carlos Guestrin](https://md.research.elamur.ai/free/en/authors/carlos-guestrin/). 4 papers in our library · 2018–2023 [OpenAlex](https://openalex.org/A5081914923) · [ORCID](https://orcid.org/0000-0002-1377-6217) · [Wikidata](https://www.wikidata.org/wiki/Q89454354) · [**h-index 64**](https://openalex.org/authors/A5081914923) · [1,204 works](https://openalex.org/works?filter=author.id:A5081914923) · [14,802 citations](https://openalex.org/works?filter=author.id:A5081914923&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/luis-ceze/#papers) · [🔗 Cited 742 times in our library](https://md.research.elamur.ai/free/en/authors/luis-ceze/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1691](https://md.research.elamur.ai/free/en/paper-stars/page/17/#star-1691) 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=Luis+Ceze) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Luis+Ceze) · [dblp](https://dblp.org/search?q=Luis+Ceze) · [ACL Anthology](https://aclanthology.org/search/?q=Luis+Ceze) ## Affiliations [🎓**University of Washington** Seattle · United States 2007–2026 · 1,064 papersEmployment since 2007 · Professor, Paul G Allen School of Computer Science and Engineering*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2003–2009 · 17 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🏢**Microsoft** Redmond · United States 2016–2021 · 6 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**IBM** Armonk · United States 2002–2005 · 3 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2003–2005 · 3 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🎓**Universidade de São Paulo** São Paulo · Brazil 2002–2003 · 2 papersEducation](https://md.research.elamur.ai/free/en/universities/universidade-de-sao-paulo/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/luis-ceze/year/2023/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/luis-ceze/year/2019/) · [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/luis-ceze/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[TVM: An Automated End-to-End Optimizing Compiler for Deep Learning](https://md.research.elamur.ai/free/en/papers/chen-2018-tvm-automated-end-end-optimizing/)** *(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](https://md.research.elamur.ai/free/en/papers/chen-2019-learning-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… 3. **[Atom: Low-bit Quantization for Efficient and Accurate LLM Serving](https://md.research.elamur.ai/free/en/papers/zhao-2023-atom-low-bit-quantization-efficient/)** *(2023 · 156 citations)* LLM serving relies on batching to keep GPUs busy, and quantization can further reduce memory use and compute cost. 4. **[Punica: Multi-Tenant LoRA Serving](https://md.research.elamur.ai/free/en/papers/chen-2023-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 6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**TVM: An Automated End-to-End Optimizing Compiler for Deep Learning arXiv:1802.04799**Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.*2018 · 1,384 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-tvm-automated-end-end-optimizing/) 2. [**Learning to Optimize Tensor Programs arXiv:1805.08166**Tianqi Chen, Lianmin Zheng, Eddie Yan, et al.*2019 · 269 citations*](https://md.research.elamur.ai/free/en/papers/chen-2019-learning-optimize-tensor-programs/) 3. **[A Hardware–Software Blueprint for Flexible Deep Learning Specialization ↗](https://doi.org/10.1109/mm.2019.2928962) IEEE Micro · no summary yet**Thierry Moreau et al.*2019 · 184 citations* 4. [**Atom: Low-bit Quantization for Efficient and Accurate LLM Serving MLSys 2024**Yilong Zhao, Chien-Yu Lin, Kan Zhu, et al.*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-atom-low-bit-quantization-efficient/) 5. [**Punica: Multi-Tenant LoRA Serving MLSys 2024**Lequn Chen, Zihao Ye, Yongji Wu, et al.*2023 · 81 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-punica-multi-tenant-lora-serving/) 6. **[Inter-Disciplinary Research Challenges in Computer Systems for the 2020s ↗](https://openalex.org/W2903187878) no summary yet**Albert Cohen et al.*2018 · 16 citations* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Arvind Krishnamurthy](https://md.research.elamur.ai/free/en/authors/arvind-krishnamurthy/) ×4 - [Tianqi Chen](https://md.research.elamur.ai/free/en/authors/tianqi-chen/) ×3 - [Carlos Guestrin](https://md.research.elamur.ai/free/en/authors/carlos-guestrin/) ×2 - [Eddie Yan](https://md.research.elamur.ai/free/en/authors/eddie-yan/) ×2 - [Lequn Chen](https://md.research.elamur.ai/free/en/authors/lequn-chen/) ×2 - [Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/) ×2 - [Thierry Moreau](https://md.research.elamur.ai/free/en/authors/thierry-moreau/) ×2 - [Zihao Ye](https://md.research.elamur.ai/free/en/authors/zihao-ye/) ×2 - [Ziheng Jiang](https://md.research.elamur.ai/free/en/authors/ziheng-jiang/) ×2 - [Baris Kasikci](https://md.research.elamur.ai/free/en/authors/baris-kasikci/) - [Danyang Zhuo](https://md.research.elamur.ai/free/en/authors/danyang-zhuo/) - [Kan Zhu](https://md.research.elamur.ai/free/en/authors/kan-zhu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - MLSys 2024 ×2 - IEEE Micro ## Cited by Papers of our library cite their works 742 times (of the 149,439 papers whose bibliographies we read); [40 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/luis-ceze/cited-by/). Updated 2 November 2026