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Qingyuan Liu
Ph.D. Student, IPADS, Shanghai Jiao Tong University
I'm Qingyuan Liu (柳清源) from the Institute of Parallel and Distributed Systems (IPADS), Shanghai Jiao Tong University, advised by Haibo Chen, Yubin Xia and Dong Du.
Currently, my research focuses on constructing high-performance, low-cost, and easily developable underlying support for Serverless computing and large language model (LLM) inference.
Academic Experience
Education and academic background.
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Sep 2021 - PresentPh.D. Student, School of Software, Shanghai Jiao Tong University
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Sep 2017 - Jun 2021B.Eng. Student, School of Software, Shanghai Jiao Tong University
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Sep 2016 - Sep 2017Undergraduate Student, School of Physics and Astronomy, Shanghai Jiao Tong University
Selected Publications
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FASTSharpen the Spec, Cut the Code: A Case for Generative File System with SYSSPECAwarded Best Paper and Distinguished Artifact Award Winner.
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ISCACHIME: A Case for Efficient Long-context Attention-FC Disaggregated Inference with DIMM-PIM*Co-first author.
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TOCSResource-Efficient Orchestration for Heterogeneous Serverless Computing with Harmonized Effectiveness and Practicability
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ATCHarmonizing Efficiency and Practicability: Optimizing Resource Utilization in Serverless Computing with Jiagu
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SoCCThe Gap Between Serverless Research and Real-world Systems
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ASPLOSServerless Computing on Heterogeneous Computers
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SoCCCharacterizing Serverless Platforms with ServerlessBench
Awards
A consolidated list of honors and awards.
- 2025.10 上海交通大学首届“交•创”全国高层次博士生学术论坛优秀报告特等奖
- 2024.10 国家奖学金
- 2020.10 中远海运奖学金二等奖
- 2020.10 校级B等奖学金
- 2019.10 华为奖学金
- 2019.10 校级B等奖学金
- 2019.4 校优秀团员
- 2018.11 校三好学生
- 2018.10 校级B等奖学金
- 2018.10 董氏东方奖学金
- 2017.10 校级B等奖学金