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2020 – today
- 2024
[c4]Yang Liu, Xin Wang, Jiake Ge, Hui Wang, Dawei Xu, Yongzhe Jia:
Text to Graph Query Using Filter Condition Attributes. VLDB Workshops 2024- [c3]Yunda Guo
, Jiake Ge, Panfeng Guo, Yunpeng Chai, Tao Li, Mengnan Shi, Yang Tu, Jian Ouyang:
PASS: Predictive Auto-Scaling System for Large-scale Enterprise Web Applications. WWW 2024: 2747-2758 - 2023
- [j3]Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, Anqun Pan:
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models. Proc. ACM Manag. Data 1(4): 258:1-258:25 (2023) - [c2]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 - [i1]Jiake Ge, Huanchen Zhang, Boyu Shi, Yuanhui Luo, Yunda Guo, Yunpeng Chai, Yuxing Chen, Anqun Pan:
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models. CoRR abs/2308.15012 (2023) - 2022
- [j2]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) - 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) - [c1]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
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