LDC: A Lower-Level Driven Compaction Method to Optimize SSD-Oriented Key-Value Stores. - Yunpeng Chai; Yanfeng Chai; Xin Wang 030; Haocheng Wei; Ning Bao; Yushi Liang (ICDE, 2019)

XTuning: Expert Database Tuning System Based on Reinforcement Learning. - Yanfeng Chai; Jia-Ke Ge; Yunpeng Chai; Xin Wang 030; Boxuan Zhao (WISE (1), 2021)

WATuning: A Workload-Aware Tuning System with Attention-Based Deep Reinforcement Learning. - Jia-Ke Ge; Yanfeng Chai; Yunpeng Chai (J. Comput. Sci. Technol., 2021)

Accelerating Distributed Knowledge Graph System Based on Non-Volatile Memory. - Yuhang Li; Weiming Li; Yangyang Wang 008; Yanfeng Chai; Yunpeng Chai (APWeb/WAIM Workshops, 2022)

Correlation Expert Tuning System for Performance Acceleration. - Yanfeng Chai; Jia-Ke Ge; Qiang Zhang; Yunpeng Chai; Xin Wang 030; Qingpeng Zhang (Big Data Res., 2022)

Adaptive Lower-Level Driven Compaction to Optimize LSM-Tree Key-Value Stores. - Yunpeng Chai; Yanfeng Chai; Xin Wang 030; Haocheng Wei; Yangyang Wang 008 (IEEE Trans. Knowl. Data Eng., 2022)

Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes. - Jiake Ge; Boyu Shi; Yanfeng Chai; Yuanhui Luo; Yunda Guo; Yinxuan He; Yunpeng Chai (ICDE, 2023)