Elamur Research⌕
☰
home / authors / Yibo Zhu

Yibo Zhu

Yibo Zhu has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining; often with Cong Wang, Hao Zhang, Shengyu Liu.

2 papers in our library · 2022–2024

OpenAlex · ORCID · Wikidata · h-index 32 · 106 works · 4,396 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 533 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4248

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

🏢StepFun AIShanghai · China2024–2026 · 10 paperscurrent🎓University of ConnecticutStorrs · United States2010–2016 · 27 papers🏢ByteDanceBeijing · China2018–2024 · 17 papersEmployment since 2018🎓University of California, Santa BarbaraSanta Barbara · United States2011–2016 · 13 papersEducation 2011–2016🏢MicrosoftRedmond · United States2016–2019 · 11 papers🏢GoogleMountain View · United States2023–2024 · 2 papers🎓Xi'an Jiaotong UniversityXi'an · China2008–2009 · 2 papers🎓Tsinghua UniversityBeijing · China2007–2011Education 2007–2011
🏛️ByteDance Inc.Bellevue · United StatesEmployment

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workHardware and Architecture · 2 worksInformation Systems · 2 worksArtificial Intelligence · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving (2024 · 409 citations)
    LLM inference has two phases with different profiles. Prefill processes the whole prompt in one compute-heavy step. Decoding emits one token per step and is bound by memory bandwidth. Mainstream systems batch both phases on the same GPUs. As a result, prefill delays inflate TPOT, decoding work inflates TTFT, and both…
  2. Accelerating Distributed MoE Training and Inference with Lina (2022 · 92 citations)
    Mixture-of-Experts (MoE) models keep per-token compute low by sending each token to only one or two expert FFNs.

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. DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model ServingOSDI 2024Yinmin Zhong, Shengyu Liu, Junda Chen, et al.2024 · 409 citations
  2. Accelerating Distributed MoE Training and Inference with LinaarXiv:2210.17223Jiamin Li, Yimin Jiang, Yibo Zhu, et al.2022 · 92 citations
  3. Efficient Long-context Language Model Training by Core Attention Disaggregation ↗arXiv:2510.18121 · no summary yetYonghao Zhuang et al.2025 · 1 citation

 Co-authors here

6 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 533 times (of the 149,439 papers whose bibliographies we read); 34 citing papers with a page here →.

Updated

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