Yongping Luo's Home Page

We live in a twilight world, and there are no friends at dusk.

中文版本

Personal Statement

Research Interests：
Database Indexes and KVStores for New Hardware

Education：
2019.9 ~ 2024.6 University of Science and Technology of China, Department of Computer Science, Ph.D.
2015.6 ~ 2019.6 University of Science and Technology of China, Department of Computer Science, B.S.

Statements:
My name is Yongping Luo, and I earned my PhD degree in USTC KDELab (Knowledge and Data Engineering Laboratory), advised by Professor Peiquan Jin. My research focuses on Key Value Store and Database Management under Modern Hardware. I have published several papers related to Intel DC Persistent Memory, ZNS SSDs, and other new hardware technologies.
I am currently with Huawei Technologies Co., Ltd., focusing on new databases for modern Hardware&Software trends.

Honor

National Scholarship
2021 CASES Best Paper Award
2020 Shenzhen Stock Exchange Scholarship
2019 NDBC Best Paper Award
2016-2018 USTC Student Scholarship

Selected Publications

Yongping Luo, Peiquan Jin, et al. High-Performance Remote Data Persisting for Key-Value Stores via Persistent Memory Region. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (CCF-A). 2024, 43(11):3828-3839.
Zhaole Chu, Peiquan Jin, Yongping Luo, et al. NOBtree: A NUMA-Optimized Tree Index for Non-Volatile Memory. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (CCF-A). 2024, 43(11):3840-3851.
Xiaoliang Wang, Peiquan Jin, Yongping Luo, et al. Range Cache: An Efficient Cache Component for Accelerating Range Queries on LSM-Based Key-Value Stores. International Conference on Data Engineering (CCF-A). 2024, 488-500.
Yongping Luo, Peiquan Jin, et al. Morphtree: A Polymorphic Main-Memory Learned Index for Dynamic Workloads. The VLDB Journal (CCF-A). 2024, 33(4): 1065-1084.
Xiaoliang Wang, Peiquan Jin, Yongping Luo, et al. Cooperative Buffer Management with Fine-Grained Data Migrations for Hybrid Memory Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (CCF-A). 2022, 15(4):1838-1851.
Zhou Zhang, Zhaole Chu, Peiquan Jin, Yongping Luo, et al. PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery. Proceedings VLDB Endowment (CCF-A). 2022, 16(2):243-255.
Gaocong Liu, Yongping Luo, Peiquan Jin. HATree: A Hotness-Aware Tree Index with In-Node Hotspot Cache for NVM/DRAM-Based Hybrid Memory Architecture. Database Systems for Advanced Applications (CCF-B). 2022, 560-568.
Yongping Luo, Peiquan Jin, et al. Two Birds with One Stone: Boosting Both Read and Write Performance for Tree Indices on Persistent Memory. ACM Transactions on Embedded Computing Systems (CCF-B). 2021, 20(5s), Article 50.
Yongping Luo, Peiquan Jin, et al. TLBtree: A Read/Write-Optimized Tree Index for Non-Volatile Memory. International Conference on Data Engineering (CCF-A). 2021, 1889-1894.
储召乐, 罗永平, 金培权. 面向内存数据库的类字典树索引综述与性能比较. 计算机学报 (CCF-中文A). 2024, to appear.
罗永平, 金培权. NVM+DRAM混合内存架构下的连接算法优化. 计算机学报 (CCF-中文A). 2020, 43(6):1069-1085.

Links

Contact

Email: ypluo@mail.ustc.edu.cn
Github: ypluo
Gitee: ypluo18