--- title: "Xuanzhe Liu · Peking University — author profile and papers" description: "Xuanzhe Liu, Peking University: 4 papers on Elamur Research (2023–2025), h-index 44 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/xuanzhe-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuanzhe-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuanzhe Liu # Xuanzhe Liu Xuanzhe Liu has 4 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Shengyu Liu](https://md.research.elamur.ai/free/en/authors/shengyu-liu/), [Xin Jin](https://md.research.elamur.ai/free/en/authors/xin-jin/), [Yinmin Zhong](https://md.research.elamur.ai/free/en/authors/yinmin-zhong/). 4 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5052249316) · [ORCID](https://orcid.org/0000-0002-7908-8484) · [Wikidata](https://www.wikidata.org/wiki/Q130814153) · [**h-index 44**](https://openalex.org/authors/A5052249316) · [252 works](https://openalex.org/works?filter=author.id:A5052249316) · [5,929 citations](https://openalex.org/works?filter=author.id:A5052249316&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xuanzhe-liu/#papers) · [🔗 Cited 599 times in our library](https://md.research.elamur.ai/free/en/authors/xuanzhe-liu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3507](https://md.research.elamur.ai/free/en/paper-stars/page/36/#star-3507) 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=Xuanzhe+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuanzhe+Liu) · [dblp](https://dblp.org/search?q=Xuanzhe+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Xuanzhe+Liu) ## Affiliations [🎓**Peking University** Beijing · China 1999–2026 · 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 Science*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**Institute of Software** Beijing · China 2010–2016 · 6 papers](https://md.research.elamur.ai/free/en/labs/institute-of-software/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2021–2023 · 5 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏥**Shanghai Sixth People's Hospital** Shanghai · China 2021–2023 · 5 papers](https://ror.org/049zrh188) · [🔬**China Electric Power Research Institute** Beijing 2025 · 3 papers](https://ror.org/05ehpzy81) · [🏢**ByteDance** Beijing · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/bytedance/) 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Hardware and Architecture · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xuanzhe-liu/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/xuanzhe-liu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/xuanzhe-liu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving](https://md.research.elamur.ai/free/en/papers/zhong-2024-distserve-disaggregating-prefill-decoding-goodput/)** *(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](https://md.research.elamur.ai/free/en/papers/wu-2024-loongserve-efficiently-serving-long-context/)** *(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](https://md.research.elamur.ai/free/en/papers/wu-2023-fast-distributed-inference-serving-large/)** *(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](https://md.research.elamur.ai/free/en/papers/luo-2025-finmme-benchmark-dataset-financial-multi/)** *(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 Serving OSDI 2024**Yinmin Zhong, Shengyu Liu, Junda Chen, et al.*2024 · 409 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2024-distserve-disaggregating-prefill-decoding-goodput/) 2. **[LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism](https://md.research.elamur.ai/free/en/papers/wu-2024-loongserve-efficiently-serving-long-context/) [ACM SIGOPS Symposium on Operating Systems Principles (SOSP)](https://md.research.elamur.ai/free/en/venues/acm-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 Models arXiv 2023**Bingyang Wu, Yinmin Zhong, Zili Zhang, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-fast-distributed-inference-serving-large/) 4. **[A Survey of Resource-efficient LLM and Multimodal Foundation Models ↗](https://arxiv.org/abs/2401.08092) arXiv:2401.08092 · no summary yet**Mengwei Xu et al.*2024 · 54 citations* 5. **[FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation](https://md.research.elamur.ai/free/en/papers/luo-2025-finmme-benchmark-dataset-financial-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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. - [Shengyu Liu](https://md.research.elamur.ai/free/en/authors/shengyu-liu/) ×3 - [Xin Jin](https://md.research.elamur.ai/free/en/authors/xin-jin/) ×3 - [Yinmin Zhong](https://md.research.elamur.ai/free/en/authors/yinmin-zhong/) ×3 - [Bingyang Wu](https://md.research.elamur.ai/free/en/authors/bingyang-wu/) ×2 - [Chengzhong Liu](https://md.research.elamur.ai/free/en/authors/chengzhong-liu/) - [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) - [Jiaming Ji](https://md.research.elamur.ai/free/en/authors/jiaming-ji/) - [Junyu Luo](https://md.research.elamur.ai/free/en/authors/junyu-luo/) - [Ming Zhang](https://md.research.elamur.ai/free/en/authors/ming-zhang/) - [Peng Sun](https://md.research.elamur.ai/free/en/authors/peng-sun/) - [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/) - [Xiao Luo](https://md.research.elamur.ai/free/en/authors/xiao-luo/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [ACM SIGOPS Symposium on Operating Systems Principles (SOSP)](https://md.research.elamur.ai/free/en/venues/acm-sigops-symposium-on-operating-systems-principles-sosp/): [SOSP 2024](https://md.research.elamur.ai/free/en/venues/acm-sigops-symposium-on-operating-systems-principles-sosp/2024/) - OSDI 2024 ## 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 →](https://md.research.elamur.ai/free/en/authors/xuanzhe-liu/cited-by/). Updated 2 November 2026