- Yishuai Li, Yunfeng Zhu, Chao Shi, Guanhua Zhang, Jianzhong Wang, Xiaolu Zhang:
Timestamp as a Service, not an Oracle. Proc. VLDB Endow. 17(5): 994-1006 (2024) - Qi Liang, Dian Ouyang, Fan Zhang, Jianye Yang, Xuemin Lin, Zhihong Tian:
Efficient Regular Simple Path Queries under Transitive Restricted Expressions. Proc. VLDB Endow. 17(7): 1710-1722 (2024) - Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chun-Xue Zhu, Hongchao Qin, Hai Jin, Tao Jia:
QTCS: Efficient Query-Centered Temporal Community Search. Proc. VLDB Endow. 17(6): 1187-1199 (2024) - Xueli Liu, Bowen Dong, Wenzhi Fu, Nannan Wu, Xin Wang, Wenjun Wang:
Extending Graph Rules with Oracles. Proc. VLDB Endow. 17(7): 1775-1787 (2024) - Haocheng Xia, Xiang Li, Junyuan Pang, Jinfei Liu, Kui Ren, Li Xiong:
P-Shapley: Shapley Values on Probabilistic Classifiers. Proc. VLDB Endow. 17(7): 1737-1750 (2024) - Ziyi Lu, Qiang Cao, Hong Jiang, Yuxing Chen, Jie Yao, Anqun Pan:
FluidKV: Seamlessly Bridging the Gap between Indexing Performance and Memory-Footprint on Ultra-Fast Storage. Proc. VLDB Endow. 17(6): 1377-1390 (2024) - Yangming Lv, Kai Zhang, Ziming Wang, Xiaodong Zhang, Rubao Lee, Zhenying He, Yinan Jing, X. Sean Wang:
RTScan: Efficient Scan with Ray Tracing Cores. Proc. VLDB Endow. 17(6): 1460-1472 (2024) - Anh L. Mai, Pengyu Wang, Azza Abouzied, Matteo Brucato, Peter J. Haas, Alexandra Meliou:
Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization. Proc. VLDB Endow. 17(5): 1146-1158 (2024) - Xinhao Min, Kai Lu, Pengyu Liu, Jiguang Wan, Changsheng Xie, Daohui Wang, Ting Yao, Huatao Wu:
SepHash: A Write-Optimized Hash Index On Disaggregated Memory via Separate Segment Structure. Proc. VLDB Endow. 17(5): 1091-1104 (2024) - Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu:
Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses. Proc. VLDB Endow. 17(6): 1227-1240 (2024) - Deepak Ravikumar, Alex Yeo, Yiwen Zhu, Aditya Lakra, Harsha Nagulapalli, Santhosh Ravindran, Steve Suh, Niharika Dutta, Andrew Fogarty, Yoonjae Park, Sumeet Khushalani, Arijit Tarafdar, Kunal Parekh, Subru Krishnan:
Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service. Proc. VLDB Endow. 17(7): 1618-1627 (2024) - Vraj Shah, Thomas J. Parashos, Arun Kumar:
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses. Proc. VLDB Endow. 17(6): 1391-1404 (2024) - Wonseok Shin, Siwoo Song, Kunsoo Park, Wook-Shin Han:
Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach. Proc. VLDB Endow. 17(7): 1697-1709 (2024) - Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang:
Falcon: Fair Active Learning using Multi-armed Bandits. Proc. VLDB Endow. 17(5): 952-965 (2024) - Dahai Tang, Jiali Wang, Rong Chen, Lei Wang, Wenyuan Yu, Jingren Zhou, Kenli Li:
XGNN: Boosting Multi-GPU GNN Training via Global GNN Memory Store. Proc. VLDB Endow. 17(5): 1105-1118 (2024) - Youming Tao, Cheng-Long Wang, Miao Pan, Dongxiao Yu, Xiuzhen Cheng, Di Wang:
Communication Efficient and Provable Federated Unlearning. Proc. VLDB Endow. 17(5): 1119-1131 (2024) - Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei:
Optimizing Data Acquisition to Enhance Machine Learning Performance. Proc. VLDB Endow. 17(6): 1310-1323 (2024) - Zijia Wang, Haoran Liu, Chen Lin, Zhifeng Bao, Guoliang Li, Tianqing Wang:
Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors. Proc. VLDB Endow. 17(7): 1642-1654 (2024) - Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou:
Eraser: Eliminating Performance Regression on Learned Query Optimizer. Proc. VLDB Endow. 17(5): 926-938 (2024) - Chenyuan Wu, Mohammad Javad Amiri, Haoyun Qin, Bhavana Mehta, Ryan Marcus, Boon Thau Loo:
Towards Full Stack Adaptivity in Permissioned Blockchains. Proc. VLDB Endow. 17(5): 1073-1080 (2024) - Honghu Wu, Xiangrong Zhu, Wei Hu:
A Blockchain System for Clustered Federated Learning with Peer-to-Peer Knowledge Transfer. Proc. VLDB Endow. 17(5): 966-979 (2024) - Jiadong Xie, Zehua Chen, Deming Chu, Fan Zhang, Xuemin Lin, Zhihong Tian:
Influence Maximization via Vertex Countering. Proc. VLDB Endow. 17(6): 1297-1309 (2024) - Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. Proc. VLDB Endow. 17(5): 1020-1033 (2024) - Junjie Xing, Xinyu Wang, H. V. Jagadish:
Data-Driven Insight Synthesis for Multi-Dimensional Data. Proc. VLDB Endow. 17(5): 1007-1019 (2024) - Yutong Ye, Xiang Lian, Mingsong Chen:
Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding. Proc. VLDB Endow. 17(7): 1628-1641 (2024) - Tao Yu, Zhaonian Zou, Weihua Sun, Yu Yan:
Refactoring Index Tuning Process with Benefit Estimation. Proc. VLDB Endow. 17(7): 1528-1541 (2024) - Haitao Yuan, Gao Cong, Guoliang Li:
Nuhuo: An Effective Estimation Model for Traffic Speed Histogram Imputation on A Road Network. Proc. VLDB Endow. 17(7): 1605-1617 (2024) - Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu:
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. Proc. VLDB Endow. 17(6): 1241-1254 (2024) - Zhuoxing Zhang, Sebastian Link:
Mixed Covers of Keys and Functional Dependencies for Maintaining the Integrity of Data under Updates. Proc. VLDB Endow. 17(7): 1578-1590 (2024) - Chao Zhang, Guoliang Li, Tao Lv:
HyBench: A New Benchmark for HTAP Databases. Proc. VLDB Endow. 17(5): 939-951 (2024)