Jiake Ge (葛加可)

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Ph.D, Assistant Professor, College of Intelligence and Computing , Tianjin University

Address: Peiyang Park Campus, Tianjin University, No.135, Yaguan Road, Tianjin Haihe Education Park, Tianjin, China, 300350

Office: Room A417, Building 55

Education: Ph.D in School of Information, Renmin University of China (Advisor: Yunpeng Chai)

Email: gejiake@tju.edu.cn

Phone: +86 178-1029-1063

Research Interests

  • Artificial Intelligence for Database (AI4DB), i.e., Learned index, Auto-tuning
  • Auto-scaling
  • Time series data prediction

Publications

  • [1]. [SIGMOD'24] Jiake Ge, Huanchen Zhang, et al. SALI: A Scalable Adaptive Learned Index Framework based on Probability Models[C]//Proceedings of the 2024 ACM international conference on management of data. (CCF A)
  • [2]. [ICDE'23] Jiake Ge, Boyu Shi, et al. Cutting Learned Index into Pieces: An In-depth Inquiry into Updatable Learned Indexes[C]//2023 IEEE 39th International Conference on Data Engineering. (CCF A)
  • [3]. [JCST'21] Jiake Ge, Yanfeng Chai, Yunpeng Chai. WATuning: a workload-aware tuning system with attention-based deep reinforcement learning[J]. Journal of Computer Science and Technology, 2021. (SCI,CCF B)
  • [4]. [WWW'24] Yunda Guo, Jiake Ge, et al. PASS: Predictive Auto-Scaling System for Large-scale Enterprise Web Applications[C]// 2024 Proceedings of the ACM on Web Conference. (CCF A)
  • [5]. [LSGDA'24] Yang Liu, Xin Wang, Jiake Ge, et al. Text to Graph Query Using Filter Condition Attributes[C]// VLDB 2024 Workshop: 3rd International Workshop on Large-Scale Graph Data Analytics. Best Paper.
  • [6]. [BDR'22] Yanfeng Chai, Jiake Ge, et al. Correlation Expert Tuning System for Performance Acceleration[J]. Big Data Research, 2022, 30: 100345. (SCI)
  • [7]. [WISE'21] Yanfeng Chai, Jiake Ge, et al. Xtuning: Expert database tuning system based on reinforcement learning[C]// International Conference on Web Information Systems Engineering, 2021: 101-110. (CCF C)

Projects

  • Industry Collaboration Project, Tianda Zhitux (Tianjin) Technology Co., Ltd., Research and Development Project on Distributed Graph Databases Based on Artificial Intelligence, 2024-2026