Proc. VLDB Endow.

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volume 17, number 7, 2024

volume 17, number 8, 2024

Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization. Proc. VLDB Endow. 17 (8) (2024)
Zifan Liu, Shaleen Deep, Anna Fariha, Fotis Psallidas, Ashish Tiwari, Avrilia Floratou
Rapidash: Efficient Detection of Constraint Violations. Proc. VLDB Endow. 17 (8) (2024)
Viktor Leis, Christian Dietrich
Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware. Proc. VLDB Endow. 17 (8) (2024)
Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training. Proc. VLDB Endow. 17 (8) (2024)
Junyi Mei, Shixuan Sun, Chao Li, Cheng Xu, Cheng Chen, Yibo Liu, Jing Wang, Cheng Zhao, Xiaofeng Hou, Minyi Guo, Bingsheng He, Xiaoliang Cong
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework. Proc. VLDB Endow. 17 (8) (2024)
Yunjia Zhang, Jordan Henkel, Avrilia Floratou, Joyce Cahoon, Shaleen Deep, Jignesh M. Patel
ReAcTable: Enhancing ReAct for Table Question Answering. Proc. VLDB Endow. 17 (8) (2024)
Farzaneh Zirak, Farhana Murtaza Choudhury, Renata Borovica-Gajic
SeLeP: Learning Based Semantic Prefetching for Exploratory Database Workloads. Proc. VLDB Endow. 17 (8) (2024)
Moe Kayali, Anton Lykov, Ilias Fountalis, Nikolaos Vasiloglou, Dan Olteanu, Dan Suciu
CHORUS: Foundation Models for Unified Data Discovery and Exploration. Proc. VLDB Endow. 17 (8) (2024)
Xuankun Liao, Qing Liu, Xin Huang, Jianliang Xu
Truss-based Community Search over Streaming Directed Graphs. Proc. VLDB Endow. 17 (8) (2024)
Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. Proc. VLDB Endow. 17 (8) (2024)
Ricardo Salazar-Díaz, Boris Glavic, Tilmann Rabl
InferDB: In-Database Machine Learning Inference Using Indexes. Proc. VLDB Endow. 17 (8) (2024)
Fei Wei, Ergute Bao, Xiaokui Xiao, Yin Yang, Bolin Ding
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation. Proc. VLDB Endow. 17 (8) (2024)
Shaowei Wang, Yun Peng, Jin Li, Zikai Wen, Zhipeng Li, Shiyu Yu, Di Wang, Wei Yang
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened. Proc. VLDB Endow. 17 (8) (2024)
Biao Wu, Qiang Huang, Anthony K. H. Tung
From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying. Proc. VLDB Endow. 17 (8) (2024)
Shubhankar Mohapatra, Jianqiao Zong, Florian Kerschbaum, Xi He
Differentially Private Data Generation with Missing Data. Proc. VLDB Endow. 17 (8) (2024)
Yangshen Deng, Muxi Yan, Bo Tang
Accelerating Merkle Patricia Trie with GPU. Proc. VLDB Endow. 17 (8) (2024)
Qiyan Li, Jeffrey Xu Yu
Fast Local Subgraph Counting. Proc. VLDB Endow. 17 (8) (2024)
Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. Proc. VLDB Endow. 17 (8) (2024)
Arik Ermshaus, Patrick Schäfer, Ulf Leser
Raising the ClaSS of Streaming Time Series Segmentation. Proc. VLDB Endow. 17 (8) (2024)
Jiansen Song, Wensheng Dou, Yu Gao, Ziyu Cui, Yingying Zheng, Dong Wang, Wei Wang, Jun Wei, Tao Huang
Detecting Metadata-Related Logic Bugs in Database Systems via Raw Database Construction. Proc. VLDB Endow. 17 (8) (2024)
Yiwei Chen, Kaiyu Li, Guoliang Li, Yong Wang
Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation. Proc. VLDB Endow. 17 (8) (2024)
Yuhao Deng, Chengliang Chai, Lei Cao, Qin Yuan, Siyuan Chen, Yanrui Yu, Zhaoze Sun, Junyi Wang, Jiajun Li, Ziqi Cao, Kaisen Jin, Chi Zhang, Yuqing Jiang, Yuanfang Zhang, Yuping Wang, Ye Yuan, Guoren Wang, Nan Tang
LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes. Proc. VLDB Endow. 17 (8) (2024)
Stavros Maroulis, Vassilis Stamatopoulos, George Papastefanatos, Manolis Terrovitis
Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees. Proc. VLDB Endow. 17 (8) (2024)
Haoyang Li, Shimin Di, Calvin Hong Yi Li, Lei Chen, Xiaofang Zhou
Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense. Proc. VLDB Endow. 17 (8) (2024)
Guanduo Chen, Meng Li, Siqiang Luo, Zhenying He
Oasis: An Optimal Disjoint Segmented Learned Range Filter. Proc. VLDB Endow. 17 (8) (2024)

volume 17, number 9, 2024