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2020 – today
- 2023
[c4]Jiake Ge
, Boyu Shi, Yanfeng Chai, Yuanhui Luo, Yunda Guo, Yinxuan He, Yunpeng Chai:
Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes. ICDE 2023: 315-327- 2022
- [j3]Yanfeng Chai, Jia-Ke Ge, Qiang Zhang, Yunpeng Chai, Xin Wang, Qingpeng Zhang:
Correlation Expert Tuning System for Performance Acceleration. Big Data Res. 30: 100345 (2022) - [j2]Yunpeng Chai, Yanfeng Chai, Xin Wang, Haocheng Wei, Yangyang Wang:
Adaptive Lower-Level Driven Compaction to Optimize LSM-Tree Key-Value Stores. IEEE Trans. Knowl. Data Eng. 34(6): 2595-2609 (2022) - [c3]Yuhang Li, Weiming Li, Yangyang Wang, Yanfeng Chai, Yunpeng Chai:
Accelerating Distributed Knowledge Graph System Based on Non-Volatile Memory. APWeb/WAIM Workshops 2022: 23-33 - 2021
- [j1]Jia-Ke Ge, Yanfeng Chai, Yunpeng Chai:
WATuning: A Workload-Aware Tuning System with Attention-Based Deep Reinforcement Learning. J. Comput. Sci. Technol. 36(4): 741-761 (2021) - [c2]Yanfeng Chai, Jia-Ke Ge, Yunpeng Chai, Xin Wang, Boxuan Zhao:
XTuning: Expert Database Tuning System Based on Reinforcement Learning. WISE (1) 2021: 101-110
2010 – 2019
- 2019
- [c1]Yunpeng Chai, Yanfeng Chai, Xin Wang, Haocheng Wei, Ning Bao, Yushi Liang:
LDC: A Lower-Level Driven Compaction Method to Optimize SSD-Oriented Key-Value Stores. ICDE 2019: 722-733
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