--- title: "Xin Jin · Peking University — author profile and papers" description: "Xin Jin, Peking University: 5 papers on Elamur Research (2023–2024), h-index 27 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xin-jin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xin-jin/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xin Jin # Xin Jin Xin Jin has 5 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/); often with [Yinmin Zhong](https://md.research.elamur.ai/free/en/authors/yinmin-zhong/), [Shengyu Liu](https://md.research.elamur.ai/free/en/authors/shengyu-liu/), [Xuanzhe Liu](https://md.research.elamur.ai/free/en/authors/xuanzhe-liu/). 5 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5101882004) · [ORCID](https://orcid.org/0000-0001-8741-5847) · [Wikidata](https://www.wikidata.org/wiki/Q130825545) · [**h-index 27**](https://openalex.org/authors/A5101882004) · [129 works](https://openalex.org/works?filter=author.id:A5101882004) · [2,123 citations](https://openalex.org/works?filter=author.id:A5101882004&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/xin-jin/#papers) · [🔗 Cited 781 times in our library](https://md.research.elamur.ai/free/en/authors/xin-jin/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2910](https://md.research.elamur.ai/free/en/paper-stars/page/30/#star-2910) 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=Xin+Jin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xin+Jin) · [dblp](https://dblp.org/search?q=Xin+Jin) · [ACL Anthology](https://aclanthology.org/search/?q=Xin+Jin) ## Affiliations [🎓**Peking University** Beijing · China 2003–2026 · 53 papersEducation 2007–2011 · BS, Computer ScienceEmployment since 2021 · Associate Professor, Computer Science*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Qingdao University** Qingdao · China 2022–2025 · 13 papers](https://ror.org/021cj6z65) · [🔬**State Key Laboratory of Bio-Fibers and Eco-Textiles** Qingdao · China 2022–2025 · 11 papers](https://ror.org/010m3gk75) · [🎓**Qinghai University** Xining · China 2012–2025 · 4 papers](https://ror.org/05h33bt13) · [🎓**Southeast University** Nanjing · China 2005–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/) · [🤝**National Computer Network Emergency Response Technical Team/Coordination Center of Chinar** Beijing · China 2018–2019 · 4 papers](https://md.research.elamur.ai/free/en/ngos/national-computer-network-emergency-response-technical-team-coordination-center/) · [🎓**George Washington University** Washington · United States 2010–2012 · 4 papers](https://md.research.elamur.ai/free/en/universities/george-washington-university/) · [🎓**Sichuan University** Chengdu · China 2015–2019 · 3 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**Princeton University** Princeton · United States 2011–2016 · 3 papersEducation 2011–2016 · PhD, Computer Science](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🎓**Johns Hopkins University** Baltimore · United States 2017–2020 · 2 papersEmployment 2017–2020 · Assistant Professor, Computer Science](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 21 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Hardware and Architecture · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Networks and Communications · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/) ## Works by year ### 2020s [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/xin-jin/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/xin-jin/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. **[AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving](https://md.research.elamur.ai/free/en/papers/li-2023-alpaserve-statistical-multiplexing-model-parallelism/)** *(2023 · 170 citations)* AlpaServe asks how to serve many large deep learning models on a shared GPU cluster when request traffic is highly bursty. 3. **[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. 4. **[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. 5. **[FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion](https://md.research.elamur.ai/free/en/papers/chang-2024-flux-fast-software-based-communication/)** *(2024 · 67 citations)* Tensor parallelism splits individual layers of large models across GPUs. This lowers latency, but it adds AllGather and ReduceScatter traffic that can take a large share of runtime. Earlier overlap schemes, such as TransformerEngine, cut a GEMM and its collective into a few chunks, one per device, and schedule them… ## All works 7 works of theirs in our library, the most cited first; 5 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. [**AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving OSDI 2023**Zhuohan Li, Lianmin Zheng, Yinmin Zhong, et al.*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-alpaserve-statistical-multiplexing-model-parallelism/) 3. **[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* 4. [**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/) 5. [**FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion arXiv:2406.06858**Li-Wen Chang, Wenlei Bao, Qi Hou, et al.*2024 · 67 citations*](https://md.research.elamur.ai/free/en/papers/chang-2024-flux-fast-software-based-communication/) 6. **[RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report) ↗](https://arxiv.org/abs/2010.05969) arXiv (Cornell University) · no summary yet**Hang Zhu et al.*2020* 7. **[NetChain: Scale-Free Sub-RTT Coordination (Extended Version) ↗](https://arxiv.org/abs/1802.08236) arXiv (Cornell University) · no summary yet**Xin Jin et al.*2018* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Yinmin Zhong](https://md.research.elamur.ai/free/en/authors/yinmin-zhong/) ×5 - [Shengyu Liu](https://md.research.elamur.ai/free/en/authors/shengyu-liu/) ×3 - [Xuanzhe Liu](https://md.research.elamur.ai/free/en/authors/xuanzhe-liu/) ×3 - [Bingyang Wu](https://md.research.elamur.ai/free/en/authors/bingyang-wu/) ×2 - [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) ×2 - [Chengquan Jiang](https://md.research.elamur.ai/free/en/authors/chengquan-jiang/) - [Haibin Lin](https://md.research.elamur.ai/free/en/authors/haibin-lin/) - [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/) - [Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/) - [Peng Sun](https://md.research.elamur.ai/free/en/authors/peng-sun/) - [Yanping Huang](https://md.research.elamur.ai/free/en/authors/yanping-huang/) - [Yibo Zhu](https://md.research.elamur.ai/free/en/authors/yibo-zhu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - OSDI 2023 ×2 - [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/) ## Cited by Papers of our library cite their works 781 times (of the 149,439 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xin-jin/cited-by/). Updated 2 November 2026