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)

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)

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)

SALI: A Scalable Adaptive Learned Index Framework based on Probability Models. - Jiake Ge; Huanchen Zhang; Boyu Shi; Yuanhui Luo; Yunda Guo; Yunpeng Chai; Yuxing Chen; Anqun Pan (Proc. ACM Manag. Data, 2023)

Text to Graph Query Using Filter Condition Attributes. - Yang Liu; Xin Wang 030; Jiake Ge; Hui Wang 074; Dawei Xu; Yongzhe Jia (VLDB Workshops, 2024)

PASS: Predictive Auto-Scaling System for Large-scale Enterprise Web Applications. - Yunda Guo; Jiake Ge; Panfeng Guo; Yunpeng Chai; Tao Li; Mengnan Shi; Yang Tu; Jian Ouyang (WWW, 2024)

ShapeShifter: Workload-Aware Adaptive Evolving Index Structures Based on Learned Models. - Hui Wang 074; Xin Wang 030; Jiake Ge; Lei Liang 002; Peng Yi (WWW, 2025)

KOE: A Key Distribution-Oriented Performance Estimation Framework for Diverse Index Structures. - Yiheng You; Xin Wang 030; Jiake Ge; Hui Wang 074; Menglu Ma; Yongqi Yin (WWW (Companion Volume), 2025)

LD-RPQB: a benchmark for regular path queries based on length distribution. - Menglu Ma; Hui Wang 074; Xin Wang 030; Yiheng You; Jiake Ge (World Wide Web (WWW), 2025)