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ORCIDProceedings of the VLDB Endowment, Volume 17
Volume 17, Number 1, 2023
- Meihui Zhang, Cyrus Shahabi:
Front Matter. - Bolong Zheng, Yongyong Gao, Jingyi Wan, Lingsen Yan, Long Hu, Bo Liu, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen:
DecLog: Decentralized Logging in Non-Volatile Memory for Time Series Database Systems. 1-14 - Fangyuan Zhang, Mengxu Jiang, Sibo Wang:
Efficient Dynamic Weighted Set Sampling and Its Extension. 15-27 - Yiming Lin
, Sharad Mehrotra:
ZIP: Lazy Imputation during Query Processing. 28-40 - Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Ronghua Li, Guoren Wang:
FedGTA: Topology-aware Averaging for Federated Graph Learning. 41-50 - Xueqin Chang, Xiangyu Ke, Lu Chen, Congcong Ge, Ziheng Wei, Yunjun Gao:
Host Profit Maximization: Leveraging Performance Incentives and User Flexibility. 51-64 - Shweta Patwa, Danyu Sun, Amir Gilad, Ashwin Machanavajjhala, Sudeepa Roy:
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms. 65-78
Volume 17, Number 2, 2023
- Meihui Zhang, Cyrus Shahabi:
Front Matter. - Ruidi Wei, Florian Kerschbaum:
Cryptographically Secure Private Record Linkage Using Locality-Sensitive Hashing. 79-91 - Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré:
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. 92-105 - Jinyang Li, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish:
Query Refinement for Diversity Constraint Satisfaction. 106-118 - Zhaoheng Li, Pranav Gor, Rahul Prabhu, Hui Yu, Yuzhou Mao, Yongjoo Park:
ElasticNotebook: Enabling Live Migration for Computational Notebooks. 119-133 - Xinyu Zeng, Yulong Hui, Jiahong Shen, Andrew Pavlo, Wes McKinney, Huanchen Zhang:
An Empirical Evaluation of Columnar Storage Formats. 148-161 - Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati:
Everest: GPU-Accelerated System For Mining Temporal Motifs. 162-174 - Xueyi Wu, Yuanyuan Xu, Wenjie Zhang, Ying Zhang:
Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach. 175-183 - Wangze Ni, Pengze Chen, Lei Chen, Peng Cheng, Chen Zhang, Xuemin Lin:
Utility-aware Payment Channel Network Rebalance. 184-196 - Pengfei Li, Wenqing Wei, Rong Zhu, Bolin Ding, Jingren Zhou, Hua Lu:
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads. 197-210 - Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song:
Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity. 211-224 - Heidi Howard, Fritz Alder, Edward Ashton, Amaury Chamayou, Sylvan Clebsch, Manuel Costa, Antoine Delignat-Lavaud, Cédric Fournet, Andrew Jeffery, Matthew Kerner, Fotios Kounelis, Markus A. Kuppe, Julien Maffre, Mark Russinovich, Christoph M. Wintersteiger:
Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability. 225-240 - Sijing Duan, Feng Lyu, Xin Zhu, Yi Ding, Haotian Wang, Desheng Zhang, Xue Liu, Yaoxue Zhang, Ju Ren:
VeLP: Vehicle Loading Plan Learning from Human Behavior in Nationwide Logistics System. 241-249 - Aaditya Naik, Aalok Thakkar, Adam Stein, Rajeev Alur, Mayur Naik:
Relational Query Synthesis ⋈ Decision Tree Learning. 250-263
Volume 17, Number 3, November 2023
- Meihui Zhang, Cyrus Shahabi:
Front Matter. - Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou:
RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing. 264-277 - Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Meng Shi, Gang Chen, Feifei Li:
SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments. 278-291 - Shiwen Wu, Qiyu Wu, Honghua Dong, Wen Hua, Xiaofang Zhou:
Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution. 292-304 - Yihao Ang, Qiang Huang, Yifan Bao, Anthony K. H. Tung, Zhiyong Huang:
TSGBench: Time Series Generation Benchmark. 305-318 - Wieger R. Punter, Odysseas Papapetrou, Minos N. Garofalakis:
OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates. 319-331 - Kai Hiu Chung, Alexander Zhou, Yue Wang, Lei Chen:
Maximum Balanced (k, ε)-Bitruss Detection in Signed Bipartite Graph. 332-344 - Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Varun Pandey, Volker Markl:
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation. 345-358 - Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. 359-372 - Dajun Sun, Wei Dong, Ke Yi:
Confidence Intervals for Private Query Processing. 373-385 - Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan:
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning. 386-399 - Letong Wang, Xiangyun Ding, Yan Gu, Yihan Sun:
Fast and Space-Efficient Parallel Algorithms for Influence Maximization. 400-413 - Yile Chen, Gao Cong, Cuauhtemoc Anda:
TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals. 414-426 - Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati:
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. 427-440 - Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim:
GPU Database Systems Characterization and Optimization. 441-454 - Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu:
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. 455-468 - Joshua Hildred, Michael Abebe, Khuzaima Daudjee:
Caerus: Low-Latency Distributed Transactions for Geo-Replicated Systems. 469-482 - Aoqian Zhang, Shuqing Deng, Dongping Cui, Ye Yuan, Guoren Wang:
An Experimental Evaluation of Anomaly Detection in Time Series. 483-496 - Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Elnaz Nouri, Mohammad Raza, Gust Verbruggen:
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language. 497-510 - Manuel Schönberger, Immanuel Trummer, Wolfgang Mauerer:
Quantum-Inspired Digital Annealing for Join Ordering. 511-524 - Mashaal Musleh, Mohamed F. Mokbel:
KAMEL: A Scalable BERT-based System for Trajectory Imputation. 525-538 - Xinyi Zhang, Hong Wu, Yang Li, Zhengju Tang, Jian Tan, Feifei Li, Bin Cui:
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning. 539-552 - Adrien Petralia, Philippe Charpentier, Themis Palpanas:
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series. 553-562 - Sarah Wooders, Xiangxi Mo, Amit Narang, Kevin Lin, Ion Stoica, Joseph M. Hellerstein, Natacha Crooks, Joseph E. Gonzalez:
RALF: Accuracy-Aware Scheduling for Feature Store Maintenance. 563-576 - Kaisong Huang, Tianzheng Wang, Qingqing Zhou, Qingzhong Meng:
The Art of Latency Hiding in Modern Database Engines. 577-590 - Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Reynold Cheng, Laks V. S. Lakshmanan:
MOSER: Scalable Network Motif Discovery using Serial Test. 591-603 - Dongxiang Zhang, Teng Ma, Junnan Hu, Yijun Bei, Kian-Lee Tan, Gang Chen:
Co-movement Pattern Mining from Videos. 604-616
Volume 17, Number 4, December 2023
- Meihui Zhang, Cyrus Shahabi:
Front Matter. - Qian Ge, Yu Liu, Yinghao Zhao, Yuetian Sun, Lei Zou, Yuxing Chen, Anqun Pan:
Efficient and Accurate SimRank-based Similarity Joins: Experiments, Analysis, and Improvement. 617-629 - Wentao Li, Maolin Cai, Min Gao, Dong Wen, Lu Qin, Wei Wang:
Expanding Reverse Nearest Neighbors. 630-642 - Fuheng Zhao, Divyakant Agrawal, Amr El Abbadi, Ahmed Metwally, Claire Mathieu, Michel de Rougemont:
Errata for "SpaceSaving±: An Optimal Algorithm for Frequency Estimation and Frequent Items in the Bounded-Deletion Model". 643 - Tarique Siddiqui, Vivek R. Narasayya, Marius Dumitru, Surajit Chaudhuri:
Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets. 644-656 - Xin-Wei Cai, Xiangyu Ke, Kai Wang, Lu Chen, Tianming Zhang, Qing Liu, Yunjun Gao:
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs. 657-670 - Tianxiong Zhong, Zhiwei Zhang, Guo Lu, Ye Yuan, Yu-Ping Wang, Guoren Wang:
TVM: A Tile-based Video Management Framework. 671-684 - Yi Zhang, Jan Deriu, George Katsogiannis-Meimarakis, Catherine Kosten, Georgia Koutrika, Kurt Stockinger:
ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems. 685-698 - Lu Chen, Chengfei Liu, Rui Zhou, Kewen Liao, Jiajie Xu, Jianxin Li:
Densest Multipartite Subgraph Search in Heterogeneous Information Networks. 699-711 - Kabir Nagrecha, Arun Kumar:
Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads. 712-725 - Miao Cai, Junru Shen, Yifan Yuan, Zhihao Qu, Baoliu Ye:
BonsaiKV: Towards Fast, Scalable, and Persistent Key-Value Stores with Tiered, Heterogeneous Memory System. 726-739 - Silvan Reiner, Michael Grossniklaus:
Sample-Efficient Cardinality Estimation Using Geometric Deep Learning. 740-752 - Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang:
Multiple Time Series Forecasting with Dynamic Graph Modeling. 753-765 - Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen:
Weakly Guided Adaptation for Robust Time Series Forecasting. 766-779 - Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng:
Algorithmic Complexity Attacks on Dynamic Learned Indexes. 780-793 - Jiaqi Zhu, Shaofeng Cai, Fang Deng, Beng Chin Ooi, Wenqiao Zhang:
METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection. 794-807 - Hailin Zhang, Penghao Zhao, Xupeng Miao, Yingxia Shao, Zirui Liu, Tong Yang, Bin Cui:
Experimental Analysis of Large-scale Learnable Vector Storage Compression. 808-822 - Yue Zhao, Zhaodonghui Li, Gao Cong:
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies. 823-835 - Zeyang Zhuang, Penghui Li, Pingchuan Ma, Wei Meng, Shuai Wang:
Testing Graph Database Systems via Graph-Aware Metamorphic Relations. 836-848 - Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish:
Observatory: Characterizing Embeddings of Relational Tables. 849-862 - Taeyoon Kim, Chanho Park, Mansur Mukimbekov, Heelim Hong, Minseok Kim, Ze Jin, Changdae Kim, Ji-Yong Shin, Myeongjae Jeon:
FusionFlow: Accelerating Data Preparation for Machine Learning with Hybrid CPU-GPU Processing. 863-876 - Hubert Mohr-Daurat, Xuan Sun, Holger Pirk:
BOSS - An Architecture for Database Kernel Composition. 877-890 - Xiangyu Zhi, Xiao Yan, Bo Tang, Ziyao Yin, Yanchao Zhu, Minqi Zhou:
CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution. 891-903 - Audrey Cheng, Jack Waudby, Hugo Firth, Natacha Crooks, Ion Stoica:
Mammoths Are Slow: The Overlooked Transactions of Graph Data. 904-911 - Enyuan Zhou, Song Guo, Zicong Hong, Christian S. Jensen, Yang Xiao, Dalin Zhang, Jinwen Liang, Qingqi Pei:
VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge Graphs. 912-925
Volume 17, Number 5, January 2024
- Meihui Zhang, Cyrus Shahabi:
Front Matter. - Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng, Jingren Zhou:
Eraser: Eliminating Performance Regression on Learned Query Optimizer. 926-938 - Chao Zhang, Guoliang Li, Tao Lv:
HyBench: A New Benchmark for HTAP Databases. 939-951 - Ki Hyun Tae, Hantian Zhang, Jaeyoung Park, Kexin Rong, Steven Euijong Whang:
Falcon: Fair Active Learning using Multi-armed Bandits. 952-965 - Honghu Wu, Xiangrong Zhu, Wei Hu:
A Blockchain System for Clustered Federated Learning with Peer-to-Peer Knowledge Transfer. 966-979 - Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou:
PilotScope: Steering Databases with Machine Learning Drivers. 980-993 - Yishuai Li, Yunfeng Zhu, Chao Shi, Guanhua Zhang, Jianzhong Wang, Xiaolu Zhang:
Timestamp as a Service, not an Oracle. 994-1006 - Junjie Xing, Xinyu Wang, H. V. Jagadish:
Data-Driven Insight Synthesis for Multi-Dimensional Data. 1007-1019 - Naili Xing, Shaofeng Cai, Gang Chen, Zhaojing Luo, Beng Chin Ooi, Jian Pei:
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems. 1020-1033 - Kaiyu Chen, Dong Wen, Wenjie Zhang, Ying Zhang, Xiaoyang Wang, Xuemin Lin:
Querying Structural Diversity in Streaming Graphs. 1034-1046 - Xiangyang Gou, Xinyi Ye, Lei Zou, Jeffrey Xu Yu:
LM-SRPQ: Efficiently Answering Regular Path Query in Streaming Graphs. 1047-1059 - Shihong Gao, Yiming Li, Yanyan Shen, Yingxia Shao, Lei Chen:
ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs. 1060-1072 - Chenyuan Wu, Mohammad Javad Amiri, Haoyun Qin, Bhavana Mehta, Ryan Marcus, Boon Thau Loo:
Towards Full Stack Adaptivity in Permissioned Blockchains. 1073-1080 - Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong:
BigST: Linear Complexity Spatio-Temporal Graph Neural Network for Traffic Forecasting on Large-Scale Road Networks. 1081-1090 - 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. 1091-1104 - 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. 1105-1118 - Youming Tao, Cheng-Long Wang, Miao Pan, Dongxiao Yu, Xiuzhen Cheng, Di Wang:
Communication Efficient and Provable Federated Unlearning. 1119-1131 - Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou:
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. 1132-1145 - 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. 1146-1158
Volume 17, Number 6, February 2024
- Yuhao Deng, Chengliang Chai, Lei Cao, Nan Tang, Jiayi Wang, Ju Fan, Ye Yuan, Guoren Wang:
MisDetect: Iterative Mislabel Detection using Early Loss. 1159-1172 - Wenfei Fan, Muyang Liu, Shuhao Liu, Chao Tian:
Capturing More Associations by Referencing External Graphs. 1173-1186 - Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia:
QTCS: Efficient Query-Centered Temporal Community Search. 1187-1199 - Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran:
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. 1200-1213 - Alexander Erben, Ruben Mayer, Hans-Arno Jacobsen:
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study. 1214-1226 - 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. 1227-1240 - 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. 1241-1254 - Tsz Nam Chan, Rui Zang, Bojian Zhu, Leong Hou U, Dingming Wu, Jianliang Xu:
LION: Fast and High-Resolution Network Kernel Density Visualization. 1255-1268 - Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou:
Performance-Based Pricing of Federated Learning via Auction. 1269-1282 - Yiqun Diao, Yutong Yang, Qinbin Li, Bingsheng He, Mian Lu:
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams. 1283-1296 - Jiadong Xie, Zehua Chen, Deming Chu, Fan Zhang, Xuemin Lin, Zhihong Tian:
Influence Maximization via Vertex Countering. 1297-1309 - Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu, Reza Arablouei:
Optimizing Data Acquisition to Enhance Machine Learning Performance. 1310-1323 - Xin Chen, Jieming Shi, You Peng, Wenqing Lin, Sibo Wang, Wenjie Zhang:
Minimum Strongly Connected Subgraph Collection in Dynamic Graphs. 1324-1336 - Junhao Zhu, Yuren Mao, Lu Chen, Congcong Ge, Ziheng Wei, Yunjun Gao:
FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data. 1337-1349 - David Justen, Daniel Ritter, Campbell Fraser, Andrew Lamb, Nga Tran, Allison Lee, Thomas Bodner, Mhd Yamen Haddad, Steffen Zeuch, Volker Markl, Matthias Boehm:
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance. 1350-1363 - Zhiyuan Li, Xun Jian, Yue Wang, Yingxia Shao, Lei Chen:
DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning. 1364-1376 - 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. 1377-1390 - Vraj Shah, Thomas J. Parashos, Arun Kumar:
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses. 1391-1404 - Pengjie Cui, Haotian Liu, Bo Tang, Ye Yuan:
CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor. 1405-1417 - Xinyu Chen, Jiannan Tian, Ian Beaver, Cynthia Freeman, Yan Yan, Jianguo Wang, Dingwen Tao:
FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-point Data. 1418-1431 - Aaron Hurst,