Jiake Ge zh - Revision history

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Dbgroup: /* 学术论文 */

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‎学术论文

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Dbgroup: Created page with "{{DISPLAYTITLE:葛加可}} right [https://gejiake.github.io/|English] 天津大学智能与计算学部助理研究员 '''研究..."

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Created page with "{{DISPLAYTITLE:葛加可}} 200px |thumb|right <big> [https://gejiake.github.io/|English] 天津大学智能与计算学部助理研究员 '''研究..."

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{{DISPLAYTITLE:葛加可}}
[[File:gejiake.jpg |200px |thumb|right]]
<big>
[https://gejiake.github.io/|English]

天津大学智能与计算学部助理研究员

'''研究领域'''：智能数据库技术（AI4DB）、知识图谱、云资源管理技术
'''研究方向'''：学习索引、数据库自动调优、知识图谱数据管理、云资源弹性伸缩</br>
'''通讯地址'''：天津市海河教育园区天津大学北洋园校区智能与计算学部</br>
'''邮政编码'''：300354</br>


电子邮箱：gejiake@tju.edu.cn

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 [https://gejiake.github.io English]

← Older revision		Revision as of 02:36, 19 February 2025
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	#<span style="color: red;">[BDR'22]</span> Yanfeng Chai, '''Jiake Ge''', et al. '''Correlation Expert Tuning System for Performance Acceleration'''[J]. Big Data Research, 2022, 30: 100345. <span style="color: red;">(SCI)</span>		#<span style="color: red;">[BDR'22]</span> Yanfeng Chai, '''Jiake Ge''', et al. '''Correlation Expert Tuning System for Performance Acceleration'''[J]. Big Data Research, 2022, 30: 100345. <span style="color: red;">(SCI)</span>
	#<span style="color: red;">[WISE'21]</span> 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. <span style="color: red;">(CCF C)</span>		#<span style="color: red;">[WISE'21]</span> 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. <span style="color: red;">(CCF C)</span>
		+
		+	== 科研项目 ==
		+
		+	#Industry Collaboration Project, Tianda Zhitux (Tianjin) Technology Co., Ltd., Research and Development Project on Distributed Graph Databases Based on Artificial Intelligence, 2024-2026

@@ Line 14: / Line 14: @@
 '''电子邮箱'''：gejiake@tju.edu.cn
 == 学术论文 ==
 #<span style="color: red;">[WWW'25]</span> Hui Wang, Xin Wang, '''Jiake Ge*''', et al. '''ShapeShifter: Workload-Aware Adaptive Evolving Index Structures Based on Learned Models.'''[C]//The 2025 ACM Web Conference. '''(Corresponding author)''' <span style="color: red;">(CCF A)</span>

@@ Line 18: / Line 18: @@
-#<span style="color: red;">[WWW'25]</span> Hui Wang, Xin Wang, '''Jiake Ge*''', et al. '''ShapeShifter: Workload-Aware Adaptive Evolving Index Structures Based on Learned Models.'''[C]//The 2025 ACM Web Conference. '''(Corresponding author)''' (CCF A)
+#<span style="color: red;">[WWW'25]</span> Hui Wang, Xin Wang, '''Jiake Ge*''', et al. '''ShapeShifter: Workload-Aware Adaptive Evolving Index Structures Based on Learned Models.'''[C]//The 2025 ACM Web Conference. '''(Corresponding author)''' <span style="color: red;">(CCF A)</span>
-#[WWW'25] Yiheng You, Xin Wang, Jiake Ge*, et al. KOE: A Key Distribution-Oriented Performance Estimation Framework for Diverse Index Structures.[C]//The 2025 ACM Web Conference, short paper. (Corresponding author) (CCF A)
+#<span style="color: red;">[WWW'25]</span> Yiheng You, Xin Wang, '''Jiake Ge*''', et al. '''KOE: A Key Distribution-Oriented Performance Estimation Framework for Diverse Index Structures.'''[C]//The 2025 ACM Web Conference, short paper. (Corresponding author) <span style="color: red;">(CCF A)</span>
-#[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)
+#<span style="color: red;">[SIGMOD'24]</span> '''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. <span style="color: red;">(CCF A)</span>
-#[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)
+#<span style="color: red;">[ICDE'23]</span> '''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. <span style="color: red;">(CCF A)</span>
-#[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)
+#<span style="color: red;">[JCST'21]</span> '''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. <span style="color: red;">(SCI,CCF B)</span>
-#[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)
+#<span style="color: red;">[WWW'24]</span> 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. <span style="color: red;">(CCF A)</span>
-#[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.
+#<span style="color: red;">[LSGDA'24]</span> 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)
+#<span style="color: red;">[BDR'22]</span> Yanfeng Chai, '''Jiake Ge''', et al. '''Correlation Expert Tuning System for Performance Acceleration'''[J]. Big Data Research, 2022, 30: 100345. <span style="color: red;">(SCI)</span>
-#[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)
+#<span style="color: red;">[WISE'21]</span> 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. <span style="color: red;">(CCF C)</span>

@@ Line 12: / Line 12: @@
 '''邮政编码'''：300354</br>
 '''办公地址'''：55楼A417</br>
-电子邮箱：gejiake@tju.edu.cn

@@ Line 2: / Line 2: @@
 [[File:gejiake.jpg |200px |thumb|right]]
 <big>
-[https://gejiake.github.io/|English]
+[https://gejiake.github.io English]
 天津大学 智能与计算学部 助理研究员
-'''研究领域'''：智能数据库技术（AI4DB）、知识图谱、云资源管理技术
+'''研究领域'''：智能数据库技术（AI4DB）、知识图谱、云资源管理技术</br>
 '''研究方向'''：学习索引、数据库自动调优、知识图谱数据管理、云资源弹性伸缩</br>
 '''通讯地址'''：天津市海河教育园区天津大学北洋园校区智能与计算学部</br>
 '''邮政编码'''：300354</br>
-<!-- '''办公地址'''：55楼A417</br> -->
+'''办公地址'''：55楼A417</br>
 电子邮箱：gejiake@tju.edu.cn