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Xuanzhe Liu

Xuanzhe Liu has 4 papers in our library, in 2023–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Shengyu Liu, Xin Jin, Yinmin Zhong.

4 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 44 · 252 works · 5,929 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 599 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3507

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 · China1999–2026 · 212 papersEducation 1999–2003 · B.S., School of Electronics Engineering and Computer ScienceEducation 2003–2009 · Ph.D., School of Electronics Engineering and Computer ScienceEmployment since 2009 · Professor, School of Computer Sciencecurrent🔬Institute of SoftwareBeijing · China2010–2016 · 6 papers🎓Shanghai Jiao Tong UniversityShanghai · China2021–2023 · 5 papers🏥Shanghai Sixth People's HospitalShanghai · China2021–2023 · 5 papers🔬China Electric Power Research InstituteBeijing2025 · 3 papers🏢ByteDanceBeijing · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 · 4 worksArts and Humanities · 3 worksHardware and Architecture · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 2 worksComputer Networks and Communications · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksEvaluation & benchmarks · 1 workReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20251 paper20242 papers20231 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. LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism (2024 · 131 citations)
    Long-context LLMs (Claude-3, Gemini-1.5 and LWM all accept up to 1M tokens) create very uneven resource demands.
  3. Fast Distributed Inference Serving for Large Language Models (2023 · 123 citations)
    FastServe, from Peking University, is a distributed serving system for large language models that targets the latency of interactive applications.
  4. FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation (2025 · 19 citations)
    FinMME addresses the lack of specialised benchmarks for testing multimodal large language models (MLLMs) on financial material, where charts are data-dense and interpretation requires expert knowledge.

All works

5 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. DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model ServingOSDI 2024Yinmin Zhong, Shengyu Liu, Junda Chen, et al.2024 · 409 citations
  2. LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence ParallelismACM SIGOPS Symposium on Operating Systems Principles (SOSP)Bingyang Wu, Shengyu Liu, Yinmin Zhong, et al.2024 · 131 citations
  3. Fast Distributed Inference Serving for Large Language ModelsarXiv 2023Bingyang Wu, Yinmin Zhong, Zili Zhang, et al.2023 · 123 citations
  4. A Survey of Resource-efficient LLM and Multimodal Foundation Models ↗arXiv:2401.08092 · no summary yetMengwei Xu et al.2024 · 54 citations
  5. FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Junyu Luo, Zhizhuo Kou, Liming Yang, et al.2025 · 19 citations

 Co-authors here

12 of 14 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 599 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

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