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Xupeng Miao

Xupeng Miao has 3 papers in our library, in 2023, most of them on Language models & pretraining; often with Gabriele Oliaro, Xinhao Cheng, Zhihao Jia.

3 papers in our library · 2023

OpenAlex · ORCID · Wikidata · h-index 22 · 88 works · 1,774 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 258 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4365

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

🎓Peking UniversityBeijing · China2017–2026 · 37 papersEducation 2017–2022 · PhD, Computer ScienceEmployment since 2026current🎓Purdue University West LafayetteWest Lafayette · United States2024–2026 · 7 papersEmployment 2024–2025 · Kevin C. and Suzanne L. Kahn New Frontiers Assistant Professor, Purdue University, Computer Sciencecurrent🎓King UniversityBristol · United States2025–2026 · 2 paperscurrent🔬Beijing Academy of Artificial IntelligenceBeijing · China2026 · 1 papercurrent🎓Carnegie Mellon UniversityPittsburgh · United States2021–2025 · 26 papersEmployment 2022–2024 · Post Doctoral Fellow, Computer Science🏢TencentShenzhen · China2019–2022 · 5 papers🎓Tsinghua UniversityBeijing · China2024–2025 · 4 papers🎓Stanford UniversityStanford · United States2024 · 3 papers

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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksHardware and Architecture · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Networks and Communications · 1 workInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 3 works

 Works by year

2020s

20233 papers

 Papers

The most cited first (OpenAlex and our library).

  1. SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification (2023 · 220 citations)
    Serving generative LLMs is slow and expensive because autoregressive decoding emits one token per step, which leaves GPUs underused and makes key-value caches costly in memory.
  2. SpotServe: Serving Generative Large Language Models on Preemptible Instances (2023 · 145 citations)
    SpotServe addresses the high cost of serving generative LLMs. It runs inference on preemptible cloud GPUs, such as AWS spot instances, which can be up to 90% cheaper than on-demand machines but can be reclaimed at any time. Earlier spot-based serving systems assumed that a model fits on one instance and handled…
  3. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems (2023 · 110 citations)
    Generative LLMs are expensive to deploy. Their size and token-by-token generation make low-latency, high-throughput serving difficult, especially for organizations without large compute budgets. This survey by researchers at Purdue and Carnegie Mellon reviews the field from a machine-learning-systems perspective. It…

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. PointCLIP: Point Cloud Understanding by CLIP ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRenrui Zhang et al.2022 · 460 citations
  2. SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and VerificationACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 220 citations
  3. SpotServe: Serving Generative Large Language Models on Preemptible InstancesACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)Xupeng Miao, Chunan Shi, Jiangfei Duan, et al.2023 · 145 citations
  4. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
  5. Distributed Graph Neural Network Training: A Survey ↗arXiv:2211.00216 · no summary yetYingxia Shao et al.2022 · 103 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 258 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

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