I am
Jiake Ge, an Assistant Researcher at
the College of Intelligence and Computing, Tianjin University. I received my PhD in 2024 from Renmin University of China, under the supervision of Professor
Yunpeng Chai. I currently serve as an Executive Committee Member for the CCF Database Committee and Information Systems Committee.
I have long been dedicated to research in intelligent database technology (AI4DB) and intelligent data management technology. I have published over 10 papers in important domestic and international academic conferences and journals such as SIGMOD, ICDE, and WWW, and I serve as a reviewer for journals and conferences like TKDE.
I have been selected for the 2025 China Computer Federation Information Systems Committee PhD Thesis Incentive Program, the National Postdoctoral Researcher Program, the Joint Funding from China Postdoctoral Science Foundation and Tianjin City (Special Funding), and the Tianjin City Postdoctoral Innovation Position Funding. Additionally, I received the Best Paper Award at the 3rd International Workshop on Large-Scale Graph Data Analytics (LSGDA 2024) and funding from Renmin University of China's Outstanding Innovative Talent Program.
I host one provincial/ministerial scientific research project and one teaching reform project.
Recruiting Master's students for 2026, welcome students interested in my research directions to contact me!
Research Interests
- Artificial Intelligence for Database (AI4DB), i.e., Learned index, Auto-tuning
- Intelligent Data Management Techniques
- Auto-scaling
Publications
- [SIGMOD'26] Hui Wang, Xin Wang, Jiake Ge*, et al. High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff.[C]//Proceedings of the 2026 ACM international conference on management of data. (Corresponding author) (CCF A)
- [WWW'25] Hui Wang, Xin Wang, Jiake Ge*, et al. ShapeShifter: Workload-Aware Adaptive Evolving Index Structures Based on Learned Models.[C]//Proceedings of the 2025 ACM Web Conference. (Corresponding author) (CCF A)
- [WWW'25] Yiheng You, Xin Wang, Jiake Ge*, et al. KOE: A Key Distribution-Oriented Performance Estimation Framework for Diverse Index Structures.[C]//Companion proceedings of the 2025 ACM Web Conference. (Corresponding author) (CCF A)
- [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. (First Author) (CCF A)
- [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. (First Author) (CCF A)
- [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. (First Author) (SCI,CCF B)
- [WWWJ'25] Menglu Ma, Hui Wang, Xin Wang, Yiheng You, & Jiake Ge. LD-RPQB: a benchmark for regular path queries based on length distribution.[J]//World Wide Web. (CCF B)
- [APWeb'24] Yanfeng Chai, Jiashu Li, Qiang Zhang, Jiake Ge, et al. ASM: Adaptive Subgraph Matching via Efficient Compression and Label Filter.[C]//Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data. (CCF C)
- [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)
- [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.
- [BDR'22] Yanfeng Chai, Jiake Ge, et al. Correlation Expert Tuning System for Performance Acceleration[J]. Big Data Research, 2022, 30: 100345. (SCI)
- [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
- Tianjin Youth Fund Class B, Vertical Project, Research on Key Technologies of Subgraph Matching Learning Index Based on Graph Neural Networks, April 2025 to April 2027, In Progress, Principal Investigator
- Tianjin University Independent Fund, Vertical Project, Research on an Integrated Intelligent System for Clinical Decision Support in Traditional Chinese Medicine, January 2025 to December 2025, In Progress, Principal Investigator
- Ant Technology Group Co., Ltd., Horizontal Project, Construction Project of Demonstration Course for Domestic Distributed Open-Source Database OceanBase, 2024-2026, In Progress, Principal Investigator
- Tianda Zhitux (Tianjin) Technology Co., Ltd., Horizontal Project, Research and Development Project on Distributed Graph Databases Based on Artificial Intelligence, 2024-2026, In Progress, Principal Investigator
- Tianjin Jiangtian Zhiyun Technology Co., Ltd., Horizontal Project, Scheme Design for AI Steel Cloud Knowledge Graph, Domain Large Models, and Intelligent Agent Construction, September 2025 to November 2025, In Progress,Principal Investigator
Honors
- Third Batch of Joint Funding from China Postdoctoral Science Foundation and Tianjin City (Special Funding) (August 29, 2025)
- Tianjin City Postdoctoral Innovation Position Funding (August 29, 2025)
- 2025 China Computer Federation Information Systems Committee PhD Thesis Incentive Program (July 22, 2025)
- 2025 National Postdoctoral Researcher Program (Class C) (July 16, 2025)
- Best Paper Award at the 3rd International Workshop on Large-Scale Graph Data Analytics (LSGDA 2024) (August 26, 2024)
- Funding from Renmin University of China's Outstanding Innovative Talent Program (November 1, 2021)
葛加可 ,
天津大学智能与计算学部助理研究员,2024年于中国人民大学获得博士学位,师从
柴云鹏教授。
现担任CCF数据库专委与信息系统专委执行委员。长期致力于智能数据库技术(AI4DB)及智能数据管理技术的研究,在SIGMOD、ICDE、WWW等国内外重要学术会议和期刊发表论文10余篇,并担任TKDE、WWW、KBS等国内外顶级期刊及会议的审稿人。
入选2025年中国计算机学会信息系统专委会博士学位论文激励计划、国家资助博士后研究人员计划、中国博士后科学基金会与天津市联合资助(特别资助)、天津市博士后创新岗位资助,并获得第3届大规模图数据分析国际研讨会(LSGDA 2024)最佳论文奖、中国人民大学拔尖创新人才计划资助。
主持省部级科研项目一项、教学改革项目一项。
招收2026级硕士研究生,欢迎对我研究方向感兴趣的同学与我联系!
研究兴趣
- 智能数据库系统 (AI4DB)——学习索引、自动调优
- 智能数据管理技术
- 云资源弹性伸缩
发表论文
- [SIGMOD'26] Hui Wang, Xin Wang, Jiake Ge*, et al. High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff.[C]//Proceedings of the 2026 ACM international conference on management of data. (Corresponding author) (CCF A)
- [WWW'25] Hui Wang, Xin Wang, Jiake Ge*, et al. ShapeShifter: Workload-Aware Adaptive Evolving Index Structures Based on Learned Models.[C]//Proceedings of the 2025 ACM Web Conference. (Corresponding author) (CCF A)
- [WWW'25] Yiheng You, Xin Wang, Jiake Ge*, et al. KOE: A Key Distribution-Oriented Performance Estimation Framework for Diverse Index Structures.[C]//Companion proceedings of the 2025 ACM Web Conference. (Corresponding author) (CCF A)
- [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. (First Author) (CCF A)
- [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. (First Author) (CCF A)
- [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. (First Author) (SCI,CCF B)
- [WWWJ'25] Menglu Ma, Hui Wang, Xin Wang, Yiheng You, & Jiake Ge. LD-RPQB: a benchmark for regular path queries based on length distribution.[J]//World Wide Web. (CCF B)
- [APWeb'24] Yanfeng Chai, Jiashu Li, Qiang Zhang, Jiake Ge, et al. ASM: Adaptive Subgraph Matching via Efficient Compression and Label Filter.[C]//Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data. (CCF C)
- [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)
- [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.
- [BDR'22] Yanfeng Chai, Jiake Ge, et al. Correlation Expert Tuning System for Performance Acceleration[J]. Big Data Research, 2022, 30: 100345. (SCI)
- [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)
科研项目
- 天津市青年基金B类,纵向项目,基于图神经网络的子图匹配学习索引关键技术研究,2025年4月至2027年4月,在研,主持
- 天津大学自主基金,纵向项目,中医药临床决策支持一体化智能系统研究,2025年1月至2025年12月,在研,主持
- 蚂蚁科技集团股份有限公司,横向项目,国产分布式开源数据库OceanBase示范课程建设项目,2024-2026,在研,主持
- 天大智图(天津)科技有限公司,横向项目,基于人工智能的分布式图数据库研发项目,2024-2026,在研,主持
- 天津江天智云科技有限公司,横向项目,艾钢云知识图谱、领域大模型与智能体建设的方案设计,2025年9月-2025年11月,在研,主持
获得荣誉
- 第3批中国博士后科学基金会与天津市联合资助(特别资助)(2025年8月29日)
- 天津市博士后创新岗位资助(2025年8月29日)
- 2025年度中国计算机学会信息系统专委会博士学位论文激励计划(2025年7月22日)
- 2025年度国家资助博士后研究人员计划(C档)(2025年7月16日)
- 第3届大规模图数据分析国际研讨会(LSGDA 2024)最佳论文奖(2024年8月26日)
- 中国人民大学拔尖创新人才计划资助(2021年11月01日)