iotlpf.github.io/index.html at gh-pages · iotlpf/iotlpf.github.io · GitHub

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<!DOCTYPE html>
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    <title>Pengfei Li</title>

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                    <div id="biography" class="col-md-10">

                        <span><font size="6"><b>Pengfei Li</b></font></span>

                        <p><font size="4">CS Ph.D student <br>
                        <a href="http://www.hust.edu.cn/">Huazhong University of Science and Technology</a><br><br>
                        <!-- E-mail: cdpfli@hust.edu.cn <br>
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                        <a href="mailto:cspfli@hust.edu.cn"><i><i class="fas fa-envelope fa-2x"></i></i></a> &nbsp;
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                    <b>Biography:</b></font><font size="3.0">Pengfei Li is a Ph.D student in Huazhong University of Science and Technology (HUST) advised by <a href="https://csyhua.github.io/csyhua/index.html">Prof. Yu Hua</a>. He obtained the B.E degree in Computer Science from HUST in 2017.<br>
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                    His research interests include computer systems and memory architecture, including in-memory index techniques, disaggregated memory systems, and deduplication systems.
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                    <h2>Publications</h2>
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                        <b>[FAST]</b> <b>Pengfei Li</b>, Yu Hua, Pengfei Zuo, Zhangyu Chen, Jiajie Sheng, "<a href="https://csyhua.github.io/csyhua/HUA-FAST23-ROLEX.pdf">ROLEX: A Scalable RDMA-oriented Learned Key-Value Store for Disaggregated Memory Systems</a>", Proceedings of the 21st USENIX Conference on File and Storage Technologies (FAST), 2023. (<b>Best Paper Award</b>)
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                        <b>[VLDB]</b> <b>Pengfei Li</b>, Yu Hua, Jingnan Jia, Pengfei Zuo, “<a href="https://csyhua.github.io/csyhua/hua-vldb2022.pdf">FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems</a>”, Proceedings of the 48th International Conference on Very Large Data Bases (VLDB), 2022.
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                        <b>[Middleware]</b> <b>Pengfei Li</b>, Yu Hua, Qin Cao, Mingxuan Zhang, “<a href="https://csyhua.github.io/csyhua/hua-middleware2020.pdf">Improving the Restore Performance via Physical-Locality Middleware for Backup Systems</a>”, Proceedings of the annual ACM/IFIP Middleware conference (Middleware), 2020.
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                        <b>[JCST]</b> <b>Pengfei Li</b>, Yu Hua, Qin Cao, “<a href="https://csyhua.github.io/csyhua/hua-jcst2023-HiDeStore.pdf">An Enhanced Physical-Locality Deduplication System for Space Efficiency</a>”, Journal of Computer Science and Technology (JCST), 2023, DOI: 10.1007/s11390-023-2646-7.
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                        <b>[HPCC]</b> Yuxuan Mo, Yu Hua, <b>Pengfei Li</b>, Qin Cao, Xue Liu, "<a href="https://csyhua.github.io/csyhua/hua-hpcc21-deduplication.pdf">A Cost-Efficient Metadata Scheme for High-Performance Deduplication Systems</a>", Proceedings of the IEEE International Conference on High Performance Computing and Communications (HPCC), 2021, pages: 49-56. (<b>Best Paper Award</b>)
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                        <b>[FMRE]</b> Yuxuan Mo, Jingnan Jia, <b>Pengfei Li</b>, Yu Hua, "<a href="https://www.sciencedirect.com/science/article/pii/S2667325822002230">An Efficient Labeled Memory System for Learned Indexes</a>", Accepted and to appear in Fundamental Research.
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                    <h2>Recent Services</h2>
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                        Shadow Program Committee Member in <a href="https://2021.eurosys.org/">EuroSys 2021</a>.
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                        Artifact Evaluation Committee Member in <a href="https://asplos-conference.org/2021/index.html">ASPLOS 2021</a>.
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                    <h2>Talks</h2>
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