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VLDB 2024

A*

International Conference on Very Large Data Bases

Official site ↗
532
accepted papers
2,152
authors
August 25-29, 2024
dates
China (and hybrid)
location

300 / 532 papers

  1. 1
    13th International Workshop on Quality in Databases: Preface
    Sourav S. Bhowmick
    ,
    Lisa Ehrlinger
    ,
    Hazar Harmouch
  2. 2
    2nd International Workshop on Tabular Data Analysis (TaDA)
    Vasilis Efthymiou
    ,
    Sainyam Galhotra
    ,
    Oktie Hassanzadeh
    ,
    Chuan Lei
    ,
    Kavitha Srinivas
  3. 3
    4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
    Minjie Wang
    ,
    Quan Gan
    ,
    David Wipf
    ,
    Zhenkun Cai
    ,
    Ning Li
    ,
    Jianheng Tang
    ,
    Yanlin Zhang
    ,
    Zizhao Zhang
    ,
    Zunyao Mao
    ,
    Yakun Song
    ,
    Yanbo Wang
    ,
    Jiahang Li
    ,
    Han Zhang
    ,
    Guang Yang
    ,
    Xiao Qin
    ,
    Chuan Lei
    ,
    Muhan Zhang
    ,
    Weinan Zhang
    ,
    Christos Faloutsos
    ,
    Zheng Zhang
  4. 4
    A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs
    Zhicheng Liang
    ,
    Yu Yang
    ,
    Xiangyu Ke
    ,
    Xiaokui Xiao
    ,
    Yunjun Gao
  5. 5
    A Blockchain System for Clustered Federated Learning with Peer-to-Peer Knowledge Transfer
    Honghu Wu
    ,
    Xiangrong Zhu
    ,
    Wei Hu
  6. 6
    A Branch-&-Bound Algorithm for Fractional Hypertree Decomposition
    Zongyan He
    ,
    Jeffrey Xu Yu
  7. 7
    A Comprehensive Outlook for Analyzing and Enhancing the Performance of Blockchain Platforms
    Jeeta Ann Chacko
  8. 8
    A CPU-GPU Hybrid Labelling Algorithm for Massive Shortest Distance Queries on Road Networks
    Jiajia Li
    ,
    Yongzhi Chen
    ,
    Mengxuan Zhang
    ,
    Lei Li
  9. 9
    A Data Generator to Explore the Interactions Between Concept Drifts and Anomalies [Demo]
    Jongjun Park
    ,
    Akanksha Nehete
    ,
    Tammy Zeng
    ,
    Fei Chiang
  10. 10
    A Data-driven Spatiotemporal Simulator for Reinforcement Learning Methods
    Dingyuan Shi
    ,
    Bingchen Song
    ,
    Yuanyuan Zhang
    ,
    Haolong Yang
    ,
    Ke Xu
  11. 11
    A Demonstration of TENDS: Time Series Management System based on Model Selection
    Yuanyuan Yao
    ,
    Shenjia Dai
    ,
    Yilin Li
    ,
    Lu Chen
    ,
    Dimeng Li
    ,
    Yunjun Gao
    ,
    Tianyi Li
  12. 12
    A Flexible Forecasting Stack
    Tim Januschowski
    ,
    Yuyang Wang
    ,
    Jan Gasthaus
    ,
    Syama Sundar Rangapuram
    ,
    Caner Türkmen
    ,
    Jasper Zschiegner
    ,
    Lorenzo Stella
    ,
    Michael Bohlke-Schneider
    ,
    Danielle C. Maddix
    ,
    Konstantinos Benidis
    ,
    Alexander Alexandrov
    ,
    Christos Faloutsos
    ,
    Sebastian Schelter
  13. 13
    A Memory Guided Transformer for Time Series Forecasting
    Yunyao Cheng
    ,
    Chenjuan Guo
    ,
    Bin Yang
    ,
    Haomin Yu
    ,
    Kai Zhao
    ,
    Christian S. Jensen
  14. 14
    A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
    Shuhan Zhong
    ,
    Sizhe Song
    ,
    Weipeng Zhuo
    ,
    Guanyao Li
    ,
    Yang Liu
    ,
    S.-H. Gary Chan
  15. 15
    A Reproducible Tutorial on Reproducibility in Database Systems Research
    Tim Fischer
    ,
    Denis Hirn
    ,
    Gökhan Kul
  16. 16
    A Sampling-based Framework for Hypothesis Testing on Large Attributed Graphs
    Yun Wang
    ,
    Chrysanthi Kosyfaki
    ,
    Sihem Amer-Yahia
    ,
    Reynold Cheng
  17. 17
    A Single Machine System for Querying Big Graphs with PRAM
    Yang Liu
    ,
    Wenfei Fan
    ,
    Shuhao Liu
    ,
    Xiaoke Zhu
    ,
    Jianxin Li
  18. 18
    A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning
    Chenghao Lyu
    ,
    Qi Fan
    ,
    Philippe Guyard
    ,
    Yanlei Diao
  19. 19
    A Unified Visual Exploration Framework for (Semi-)structured Data
    Théo Bouganim
    ,
    Ioana Manolescu
    ,
    Emmanuel Pietriga
  20. 20
    AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation
    Fei Wei
    ,
    Ergute Bao
    ,
    Xiaokui Xiao
    ,
    Yin Yang
    ,
    Bolin Ding
  21. 21
    Accelerating Maximal Clique Enumeration via Graph Reduction
    Wen Deng
    ,
    Weiguo Zheng
    ,
    Hong Cheng
  22. 22
    Accelerating Merkle Patricia Trie with GPU
    Yangshen Deng
    ,
    Muxi Yan
    ,
    Bo Tang
  23. 23
    Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses
    Jeongmin Brian Park
    ,
    Vikram Sharma Mailthody
    ,
    Zaid Qureshi
    ,
    Wen-Mei Hwu
  24. 24
    Accelerating String-key Learned Index Structures via Memoization-based Incremental Training
    Minsu Kim
    ,
    Jinwoo Hwang
    ,
    Guseul Heo
    ,
    Seiyeon Cho
    ,
    Divya Mahajan
    ,
    Jongse Park
  25. 25
    Accelerating the Data Cleaning Systems Raha and Baran through Task and Data Parallelism
    Fatemeh Ahmadi
    ,
    Yusuf Mandirali
    ,
    Ziawasch Abedjan
  26. 26
    Accuracy-enhanced Sparse Vector Technique with Exponential Noise and Optimal Threshold Correction
    Yuhan Liu
    ,
    Sheng Wang
    ,
    Yixuan Liu
    ,
    Feifei Li
    ,
    Hong Chen
  27. 27
    Accurate and Fast Approximate Graph Pattern Mining at Scale
    Anna Arpaci-Dusseau
    ,
    Zixiang Zhou
    ,
    Xuhao Chen
  28. 28
    AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators
    Xianghong Xu
    ,
    Tieying Zhang
    ,
    Xiao He
    ,
    Haoyang Li
    ,
    Rong Kang
    ,
    Wang Shuai
    ,
    Linhui Xu
    ,
    Zhimin Liang
    ,
    Shangyu Luo
    ,
    Lei Zhang
    ,
    Jianjun Chen
  29. 29
    Adaptive and Robust Query Execution for Lakehouses At Scale
    Maryann Xue
    ,
    Yingyi Bu
    ,
    Abhishek Somani
    ,
    Wenchen Fan
    ,
    Ziqi Liu
    ,
    Steven Chen
    ,
    Herman Van Hovell
    ,
    Bart Samwel
    ,
    Mostafa Mokhtar
    ,
    Rk Korlapati
    ,
    Andy Lam
    ,
    Yunxiao Ma
    ,
    Vuk Ercegovac
    ,
    Jiexing Li
    ,
    Alexander Behm
    ,
    Yuanjian Li
    ,
    Xiao Li
    ,
    Sriram Krishnamurthy
    ,
    Amit Shukla
    ,
    Michalis Petropoulos
    ,
    Sameer Paranjpye
    ,
    Reynold Xin
    ,
    Matei Zaharia
  30. 30
    Addressing Data Management Challenges for Interoperable Data Science
    Ilin Tolovski
    ,
    Tilmann Rabl
  31. 31
    AeonG: An Efficient Built-in Temporal Support in Graph Databases
    Jiamin Hou
    ,
    Zhanhao Zhao
    ,
    Zhouyu Wang
    ,
    Wei Lu
    ,
    Guodong Jin
    ,
    Dong Wen
    ,
    Xiaoyong Du
  32. 32
    Agent-OM: Leveraging LLM Agents for Ontology Matching
    Zhangcheng Qiang
    ,
    Weiqing Wang
    ,
    Kerry Taylor
  33. 33
    Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications
    Hani Al-Sayeh
    ,
    Muhammad Attahir Jibril
    ,
    Kai-Uwe Sattler
  34. 34
    Aleph Filter: To Infinity in Constant Time
    Niv Dayan
    ,
    Ioana Oriana Bercea
    ,
    Rasmus Pagh
  35. 35
    ALT-GEN: Benchmarking Table Union Search using Large Language Models
    Koyena Pal
    ,
    Aamod Khatiwada
    ,
    Roee Shraga
    ,
    Renée J. Miller
  36. 36
    An Examination of CXL Memory Use Cases for In-Memory Database Management Systems using SAP HANA
    Minseon Ahn
    ,
    Thomas Willhalm
    ,
    Norman May
    ,
    Donghun Lee
    ,
    Suprasad Mutalik Desai
    ,
    Daniel Booss
    ,
    Jungmin Kim
    ,
    Navneet Singh
    ,
    Daniel Ritter
    ,
    Oliver Rebholz
  37. 37
    An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models
    Mengzhao Wang
    ,
    Haotian Wu
    ,
    Xiangyu Ke
    ,
    Yunjun Gao
    ,
    Xiaoliang Xu
    ,
    Lu Chen
  38. 38
    Apache TsFile: An IoT-native Time Series File Format
    Xin Zhao
    ,
    Jialin Qiao
    ,
    Xiangdong Huang
    ,
    Chen Wang
    ,
    Shaoxu Song
    ,
    Jianmin Wang
  39. 39
    Approximate Anchored Densest Subgraph Search on Large Static and Dynamic Graphs
    Qi Zhang
    ,
    Yalong Zhang
    ,
    Ronghua Li
    ,
    Guoren Wang
  40. 40
    Approximate Functional Dependencies Discovery Using Markov Blanket
    Jinqi Liu
    ,
    Anzhen Zhang
    ,
    Jiajia Li
    ,
    Na Guo
    ,
    Jing Zhang
  41. 41
    ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models
    Benjamin Feuer
    ,
    Yurong Liu
    ,
    Chinmay Hegde
    ,
    Juliana Freire
  42. 42
    Are Joins over LSM-trees Ready: Take RocksDB as an Example
    Weiping Yu
    ,
    Fan Wang
    ,
    Xuwei Zhang
    ,
    Siqiang Luo
  43. 43
    Are Large Language Models a Good Replacement of Taxonomies?
    Yushi Sun
    ,
    Xin Hao
    ,
    Kai Sun
    ,
    Yifan Xu
    ,
    Xiao Yang
    ,
    Xin Luna Dong
    ,
    Nan Tang
    ,
    Lei Chen
  44. 44
    AutoFAIR : Automatic Data FAIRification via Machine Reading
    Tingyan Ma
    ,
    Wei Liu
    ,
    Bin Lu
    ,
    Xiaoying Gan
    ,
    Yunqiang Zhu
    ,
    Luoyi Fu
    ,
    Chenghu Zhou
  45. 45
    Automatic Data Repair: Are We Ready to Deploy?
    Wei Ni
    ,
    Xiaoye Miao
    ,
    Xiangyu Zhao
    ,
    Yangyang Wu
    ,
    Shuwei Liang
    ,
    Jianwei Yin
  46. 46
    Automating the Enterprise with Foundation Models
    Michael Wornow
    ,
    Avanika Narayan
    ,
    Krista Opsahl-Ong
    ,
    Quinn McIntyre
    ,
    Nigam Shah
    ,
    Christopher Ré
  47. 47
    AutoTQA: Towards Autonomous Tabular Question Answering through Multi-Agent Large Language Models
    Jun-Peng Zhu
    ,
    Peng Cai
    ,
    Kai Xu
    ,
    Li Li
    ,
    Yishen Sun
    ,
    Shuai Zhou
    ,
    Haihuang Su
    ,
    Liu Tang
    ,
    Qi Liu
  48. 48
    AutoTSAD: Unsupervised Holistic Anomaly Detection for Time Series Data
    Sebastian Schmidl
    ,
    Felix Naumann
    ,
    Thorsten Papenbrock
  49. 49
    Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing
    Wentao Huang
    ,
    Mo Sha
    ,
    Mian Lu
    ,
    Yuqiang Chen
    ,
    Bingsheng He
    ,
    Kian-Lee Tan
  50. 50
    Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest
    Yusuf Abdulle
    ,
    Emily Groves
    ,
    Minhong Wang
    ,
    Holger Kunz
    ,
    Jason Hoelscher-Obermaier
    ,
    Ronin Wu
    ,
    Honghan Wu