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ORCIDProceedings of the VLDB Endowment, Volume 18
Volume 18, Number 1, September 2024
- Themis Palpanas, Nesime Tatbul:
Front Matter. - Samuel Arch, Yuchen Liu, Todd C. Mowry, Jignesh M. Patel, Andrew Pavlo:
The Key to Effective UDF Optimization: Before Inlining, First Perform Outlining. 1-13 - Milad Rezaei Hajidehi, Sraavan Sridhar, Margo I. Seltzer:
CUTTANA: Scalable Graph Partitioning for Faster Distributed Graph Databases and Analytics. 14-27 - Guido Moerkotte:
Cardinality Estimation for Having-Clauses. 28-41 - Wenqi Jiang, Marco Zeller, Roger Waleffe, Torsten Hoefler, Gustavo Alonso:
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models. 42-52 - Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing:
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency. 53-65 - Hanfei Yu, Jacob Carter, Hao Wang, Devesh Tiwari, Jian Li, Seung-Jong Park:
Nitro: Boosting Distributed Reinforcement Learning with Serverless Computing. 66-79
Volume 18, Number 2, October 2024
- Themis Palpanas, Nesime Tatbul:
Front Matter. - Silin Zhou, Shuo Shang, Lisi Chen, Christian S. Jensen, Panos Kalnis:
RED: Effective Trajectory Representation Learning with Comprehensive Information. 80-92 - Anna Arpaci-Dusseau, Zixiang Zhou, Xuhao Chen:
Accurate and Fast Approximate Graph Pattern Mining at Scale. 93-107 - Xiu Tang, Wenhao Liu, Sai Wu, Chang Yao, Gongsheng Yuan, Shanshan Ying, Gang Chen:
QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes. 108-116 - Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. 117-129 - Kyle B. Deeds, Diandre Sabale, Moe Kayali, Dan Suciu:
COLOR: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation. 130-143 - Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Fully Automated Correlated Time Series Forecasting in Minutes. 144-157 - Markos Markakis, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella:
From Logs to Causal Inference: Diagnosing Large Systems. 158-172 - Xin Ai, Hao Yuan, Zeyu Ling, Qiange Wang, Yanfeng Zhang, Zhenbo Fu, Chaoyi Chen, Yu Gu, Ge Yu:
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism. 173-186 - Yuhan Liu, Sheng Wang, Yixuan Liu, Feifei Li, Hong Chen:
Accuracy-enhanced Sparse Vector Technique with Exponential Noise and Optimal Threshold Correction. 187-199 - Lijun Chang:
Maximum Defective Clique Computation: Improved Time Complexities and Practical Performance. 200-212 - Yanni Tang, Zhuoxing Zhang, Kaiqi Zhao, Lanting Fang, Zhenhua Li, Wu Chen:
Substructure-aware Log Anomaly Detection. 213-225 - Hao Miao, Ziqiao Liu, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching. 226-238 - Yunyao Cheng, Chenjuan Guo, Bin Yang, Haomin Yu, Kai Zhao, Christian S. Jensen:
A Memory Guided Transformer for Time Series Forecasting. 239-252 - Chuxuan Hu, Austin Peters, Daniel Kang:
LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data. 253-264 - Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le:
TEAM: Topological Evolution-aware Framework for Traffic Forecasting. 265-278 - Geonho Lee, Jeongho Park, Min-Soo Kim:
Chimera: A system design of dual storage and traversal-join unified query processing for SQL/PGQ. 279-292 - Nikolai Merkel, Pierre Toussing, Ruben Mayer, Hans-Arno Jacobsen:
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study. 293-307 - Xiaoke Zhu, Min Xie, Ting Deng, Qi Zhang:
HyperBlocker: Accelerating Rule-based Blocking in Entity Resolution using GPUs. 308-321 - Yangfan Jiang, Xinjian Luo, Yin Yang, Xiaokui Xiao:
Calibrating Noise for Group Privacy in Subsampled Mechanisms. 322-334 - Yi Liu, Minghao Xie, Shouqian Shi, Yuanchao Xu, Heiner Litz, Chen Qian:
Outback: Fast and Communication-efficient Index for Key-Value Store on Disaggregated Memory. 335-348 - Yunhao Mao, Gengrui Zhang, Zongxin Liu, Pezhman Nasirifard, Sofia Tijanic, Hans-Arno Jacobsen:
Making CRDTs Not So Eventual. 349-362 - Shuohao Gao, Kaiqiang Yu, Shengxin Liu, Cheng Long:
Maximum k-Plex Search: An Alternated Reduction-and-Bound Method. 363-376 - Patrick Schäfer, Ulf Leser:
Discovering Leitmotifs in Multidimensional Time Series. 377-389 - Chuang Yang, Renhe Jiang, Xiaohang Xu, Chuan Xiao, Kaoru Sezaki:
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity. 390-398 - Junchang Wang, Manos Athanassoulis:
CUBIT: Concurrent Updatable Bitmap Indexing. 399-412 - Yongrui Zhong, Yunqing Ge, Jianbin Qin, Shuyuan Zheng, Bo Tang, Yu-Xuan Qiu, Rui Mao, Ye Yuan, Makoto Onizuka, Chuan Xiao:
Privacy-Enhanced Database Synthesis for Benchmark Publishing. 413-425 - Kijae Hong, Kyoungmin Kim, Young-Koo Lee, Yang-Sae Moon, Sourav S. Bhowmick, Wook-Shin Han:
Themis: A GPU-accelerated Relational Query Execution Engine. 426-438 - Shunit Agmon, Amir Gilad, Brit Youngmann, Shahar Zoarets, Benny Kimelfeld:
Finding Convincing Views to Endorse a Claim. 439-452 - Yumeng Song, Yu Gu, Tianyi Li, Yushuai Li, Christian S. Jensen, Ge Yu:
Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification. 453-465 - Liwei Deng, Tianfu Wang, Yan Zhao, Kai Zheng:
MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management. 466-474 - Yuxi Liu, Fangzhu Shen, Kushagra Ghosh, Amir Gilad, Benny Kimelfeld, Sudeepa Roy:
The Cost of Representation by Subset Repairs. 475-487 - Mark Zhao, Emanuel Adamiak, Christos Kozyrakis:
cedar: Optimized and Unified Machine Learning Input Data Pipelines. 488-502 - Monil Mukesh Sanghavi, Ming-May Hu, Zhenxiao Luo, Xiao Li, Kapil Bajaj:
Goku: A Schemaless Time Series Database for Large Scale Monitoring at Pinterest. 503-515
Volume 18, Number 3, November 2024
- Themis Palpanas, Nesime Tatbul:
Front Matter. - Zhangcheng Qiang, Weiqing Wang, Kerry Taylor:
Agent-OM: Leveraging LLM Agents for Ontology Matching. 516-529 - Xue Li, Weibin Zeng, Zhibin Wang, Diwen Zhu, Jingbo Xu, Wenyuan Yu, Jingren Zhou:
GraphAr: An Efficient Storage Scheme for Graph Data in Data Lakes. 530-543 - Hai Lan, Shixun Huang, Zhifeng Bao, Renata Borovica-Gajic:
Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects. 544-556 - Seonho Lee, Yeunjun Lee, Kunsoo Park:
Efficient Top-k Frequent Subgraph Mining Using Tight Upper and Lower Bounds. 557-570 - Hao Liu, Qianwen Yang, Taoyong Cui, Wei Wang:
MSGNN: Masked Schema based Graph Neural Networks. 571-584 - Jawad Tahir, Ruben Mayer, Christoph Doblander, Hans-Arno Jacobsen:
How Reliable Are Streams? End-to-End Processing-Guarantee Validation and Performance Benchmarking of Stream Processing Systems. 585-598 - Yinnian Lin, Lei Zou, Xunbin Su:
Towards Sufficient GPU-accelerated Dynamic Graph Management: Survey and Experiment. 599-612 - Zhuocheng Shang, Samriddhi Singla, Ahmed Eldawy, Elia Scudiero:
RDPro: Distributed Processing of Big Raster Data. 613-622 - Qi Zhang, Yalong Zhang, Ronghua Li, Guoren Wang:
Approximate Anchored Densest Subgraph Search on Large Static and Dynamic Graphs. 623-636 - Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou:
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. 637-650 - Thomas Gilray, Arash Sahebolamri, Yihao Sun, Sowmith Kunapaneni, Sidharth Kumar, Kristopher K. Micinski:
Datalog with First-Class Facts. 651-665 - Junhao Zhu, Tao Wang, Danlei Hu, Ziquan Fang, Lu Chen, Yunjun Gao, Tianyi Li, Christian S. Jensen:
T-Assess: An Efficient Data Quality Assessment System Tailored for Trajectory Data. 666-674 - Junhao Ye, Jiahui Li, Lu Chen, Yuren Mao, Yunjun Gao, Tianyi Li:
LEAP: A Low-cost Spark SQL Query Optimizer using Pairwise Comparison. 675-687 - Xinle Cao, Weiqi Feng, Jian Liu, Jinjin Zhou, Wenjing Fang, Lei Wang, Quanqing Xu, Chuanhui Yang, Kui Ren:
Towards Practical Oblivious Map. 688-701 - Chaoyi Ruan, Yingqiang Zhang, Juncheng Zhang, Cheng Li, Xiaosong Ma, Hao Chen, Jie Zhou, Feifei Li, Xinjun Yang:
PolyBase: Adapting to Data Affinity Changes in Geo-Replicated Database via Row-Level Paxos-Group Affiliation Re-Assignment. 702-714 - Wenfei Fan, Lihang Fan, Dandan Lin, Min Xie:
Explaining GNN-based Recommendations in Logic. 715-728 - Haozhe Yin, Kai Wang, Wenjie Zhang, Ying Zhang, Ruijia Wu, Xuemin Lin:
Efficient Computation of Hyper-triangles on Hypergraphs. 729-742 - Yuwei Huang, Guoliang Li:
Laser: Buffer-Aware Learned Query Scheduling in Master-Standby Databases. 743-755 - Yang Liu, Wenfei Fan, Shuhao Liu, Xiaoke Zhu, Jianxin Li:
A Single Machine System for Querying Big Graphs with PRAM. 756-769 - Jiajia Li, Yongzhi Chen, Mengxuan Zhang, Lei Li:
A CPU-GPU Hybrid Labelling Algorithm for Massive Shortest Distance Queries on Road Networks. 770-783 - Fei Ye, Zikang Liu, Xi Zhang, Yinan Jing, Zhenying He, Yuxin Che, Haoran Xiong, Kai Zhang, X. Sean Wang:
SDEcho: Efficient Explanation of Aggregated Sequence Difference. 784-797 - Qideng Tang, Chaofan Dai, Yahui Wu, Haohao Zhou:
MLP-Mixer based Masked Autoencoders Are Effective, Explainable and Robust for Time Series Anomaly Detection. 798-811 - Liwei Deng, Penghao Chen, Ximu Zeng, Tianfu Wang, Yan Zhao, Kai Zheng:
Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search. 812-821 - Shijie Zhang, Ru Cheng, Xinpeng Liu, Jiang Xiao, Hai Jin, Bo Li:
Seer: Accelerating Blockchain Transaction Execution by Fine-Grained Branch Prediction. 822-835 - Shangdi Yu, Jessica Shi, Jamison Meindl, David Eisenstat, Xiaoen Ju, Sasan Tavakkol, Laxman Dhulipala, Jakub Lacki, Vahab Mirrokni, Julian Shun:
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering. 836-849 - Shuang Liu, Chenglin Tian, Jun Sun, Ruifeng Wang, Wei Lu, Yongxin Zhao, Yinxing Xue, Junjie Wang, Xiaoyong Du:
Semantic Conformance Testing of Relational DBMS. 850-862 - Songsong Mo, Yue Zhao, Zhifeng Bao, Quanqing Xu, Chuanhui Yang, Gao Cong:
RankPQO: Learning-to-Rank for Parametric Query Optimization. 863-875 - Aviv Hadar, Tova Milo, Kathy Razmadze:
Datamap-Driven Tabular Coreset Selection for Classifier Training. 876-888 - Quinten De Man, Laxman Dhulipala, Adam Karczmarz, Jakub Lacki, Julian Shun, Zhongqi Wang:
Towards Scalable and Practical Batch-Dynamic Connectivity. 889-901 - Shengquan Ni, Yicong Huang, Zuozhi Wang, Chen Li:
IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems. 902-914 - Ge Lee, Shixun Huang, Zhifeng Bao, Yanchang Zhao:
Representative Time Series Discovery for Data Exploration. 915-928
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