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SIGMOD 2024

A*

ACM Conference on Management of Data

Official site ↗
311
accepted papers
1,210
authors
June 11-16, 2024
dates
Chile
location

300 / 311 papers

  1. 1
    A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction
    Zhijie Zhang
    ,
    Yujie Lu
    ,
    Weiguo Zheng
    ,
    Xuemin Lin
  2. 2
    A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery
    Yingli Zhou
    ,
    Qingshuo Guo
    ,
    Yixiang Fang
    ,
    Chenhao Ma
  3. 3
    A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System
    Jiale Lao
    ,
    Yibo Wang
    ,
    Yufei Li
    ,
    Jianping Wang
    ,
    Yunjia Zhang
    ,
    Zhiyuan Cheng
    ,
    Wanghu Chen
    ,
    Yuanchun Zhou
    ,
    Mingjie Tang
    ,
    Jianguo Wang
  4. 4
    A Lovász-Simonovits Theorem for Hypergraphs with Application to Local Clustering
    Raj Kamal
    ,
    Amitabha Bagchi
  5. 5
    A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition
    Peng Sun
    ,
    Liantao Wu
    ,
    Zhibo Wang
    ,
    Jinfei Liu
    ,
    Juan Luo
    ,
    Wenqiang Jin
  6. 6
    A Universal Sketch for Estimating Heavy Hitters and Per-Element Frequency Moments in Data Streams with Bounded Deletions
    Liang Zheng
    ,
    Qingjun Xiao
    ,
    Xuyuan Cai
  7. 7
    ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data
    Liana Patel
    ,
    Peter Kraft
    ,
    Carlos Guestrin
    ,
    Matei Zaharia
  8. 8
    Adaptive Quotient Filters
    Richard Wen
    ,
    Hunter McCoy
    ,
    David Tench
    ,
    Guido Tagliavini
    ,
    Michael A. Bender
    ,
    Alex Conway
    ,
    Martin Farach-Colton
    ,
    Rob Johnson
    ,
    Prashant Pandey
  9. 9
    AI for Systems
    Carlo Curino
    ,
    Raghu Ramakrishnan
  10. 10
    Akane: Perplexity-Guided Time Series Data Cleaning
    Xiaoyu Han
    ,
    Haoran Xiong
    ,
    Zhenying He
    ,
    Peng Wang
    ,
    Chen Wang
    ,
    X. Sean Wang
  11. 11
    Amazon MemoryDB: A Fast and Durable Memory-First Cloud Database
    Yacine Taleb
    ,
    Kevin McGehee
    ,
    Nan Yan
    ,
    Shawn Wang
    ,
    Stefan C. Müller
    ,
    Allen Samuels
  12. 12
    An Efficient and Exact Algorithm for Locally h-Clique Densest Subgraph Discovery
    Xiaojia Xu
    ,
    Haoyu Liu
    ,
    Xiaowei Lv
    ,
    Yongcai Wang
    ,
    Deying Li
  13. 13
    An LDP Compatible Sketch for Securely Approximating Set Intersection Cardinalities
    Pinghui Wang
    ,
    Yitong Liu
    ,
    Zhicheng Li
    ,
    Rundong Li
  14. 14
    An Overview of Continuous Querying in (Modern) Data Systems
    Angela Bonifati
    ,
    Riccardo Tommasini
  15. 15
    Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine
    Andrew Lamb
    ,
    Yijie Shen
    ,
    Daniël Heres
    ,
    Jayjeet Chakraborty
    ,
    Mehmet Ozan Kabak
    ,
    Liang-Chi Hsieh
    ,
    Chao Sun
  16. 16
    Applications and Computation of the Shapley Value in Databases and Machine Learning
    Xuan Luo
    ,
    Jian Pei
  17. 17
    Approximate Sketches
    Brian Tsan
    ,
    Asoke Datta
    ,
    Yesdaulet Izenov
    ,
    Florin Rusu
  18. 18
    ASM in Action: Fast and Practical Learned Cardinality Estimation
    Sangoh Lee
    ,
    Kyoungmin Kim
    ,
    Wook-Shin Han
  19. 19
    ASM: Harmonizing Autoregressive Model, Sampling, and Multi-dimensional Statistics Merging for Cardinality Estimation
    Kyoungmin Kim
    ,
    Sangoh Lee
    ,
    Injung Kim
    ,
    Wook-Shin Han
  20. 20
    ASQP-RL Demo: Learning Approximation Sets for Exploratory Queries
    Susan B. Davidson
    ,
    Tova Milo
    ,
    Kathy Razmadze
    ,
    Gal Zeevi
  21. 21
    Atom: An Efficient Query Serving System for Embedding-based Knowledge Graph Reasoning with Operator-level Batching
    Qihui Zhou
    ,
    Peiqi Yin
    ,
    Xiao Yan
    ,
    Changji Li
    ,
    Guanxian Jiang
    ,
    James Cheng
  22. 22
    Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations
    Sibei Chen
    ,
    Yeye He
    ,
    Weiwei Cui
    ,
    Ju Fan
    ,
    Song Ge
    ,
    Haidong Zhang
    ,
    Dongmei Zhang
    ,
    Surajit Chaudhuri
  23. 23
    Automated Clustering Recommendation With Database Zone Maps
    Suratna Budalakoti
    ,
    Mohamed Ziauddin
    ,
    Andrew Witkowski
    ,
    You Jung Kim
    ,
    Ramarajan Krishnamachari
    ,
    Alan Wood
  24. 24
    Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
    Yang Wu
    ,
    Yao Wan
    ,
    Hongyu Zhang
    ,
    Yulei Sui
    ,
    Wucai Wei
    ,
    Wei Zhao
    ,
    Guandong Xu
    ,
    Hai Jin
  25. 25
    Automated Multidimensional Data Layouts in Amazon Redshift
    Jialin Ding
    ,
    Matt Abrams
    ,
    Sanghita Bandyopadhyay
    ,
    Luciano Di Palma
    ,
    Yanzhu Ji
    ,
    Davide Pagano
    ,
    Gopal Paliwal
    ,
    Panos Parchas
    ,
    Pascal Pfeil
    ,
    Orestis Polychroniou
    ,
    Gaurav Saxena
    ,
    Aamer Shah
    ,
    Amina Voloder
    ,
    Sherry Xiao
    ,
    Davis Zhang
    ,
    Tim Kraska
  26. 26
    Automating Vectorized Distributed Graph Computation
    Wenyue Zhao
    ,
    Yang Cao
    ,
    Peter Buneman
    ,
    Jia Li
    ,
    Nikos Ntarmos
  27. 27
    Banzhaf Values for Facts in Query Answering
    Omer Abramovich
    ,
    Daniel Deutch
    ,
    Nave Frost
    ,
    Ahmet Kara
    ,
    Dan Olteanu
  28. 28
    Beyond Bloom: A Tutorial on Future Feature-Rich Filters
    Prashant Pandey
    ,
    Martín Farach-Colton
    ,
    Niv Dayan
    ,
    Huanchen Zhang
  29. 29
    BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance
    Wei Zhang
    ,
    Cheng Chen
    ,
    Qiange Wang
    ,
    Wei Wang
    ,
    Shijiao Yang
    ,
    Bingyu Zhou
    ,
    Huiming Zhu
    ,
    Chao Chen
    ,
    Yongjun Zhao
    ,
    Yingqian Hu
    ,
    Miaomiao Cheng
    ,
    Meng Li
    ,
    Hongfei Tan
    ,
    Mengjin Liu
    ,
    Hexiang Lin
    ,
    Shuai Zhang
    ,
    Lei Zhang
  30. 30
    BigLake: BigQuery's Evolution toward a Multi-Cloud Lakehouse
    Justin J. Levandoski
    ,
    Garrett Casto
    ,
    Mingge Deng
    ,
    Rushabh Desai
    ,
    Pavan Edara
    ,
    Thibaud Hottelier
    ,
    Amir Hormati
    ,
    Anoop Johnson
    ,
    Jeff Johnson
    ,
    Dawid Kurzyniec
    ,
    Sam McVeety
    ,
    Prem Ramanathan
    ,
    Gaurav Saxena
    ,
    Vidya Shanmugan
    ,
    Yuri Volobuev
  31. 31
    Bouncer: Admission Control with Response Time Objectives for Low-latency Online Data Systems
    Hao Xu
    ,
    Juan A. Colmenares
  32. 32
    BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data
    Tu Gu
    ,
    Kaiyu Feng
    ,
    Jingyi Yang
    ,
    Gao Cong
    ,
    Cheng Long
    ,
    Rui Zhang
  33. 33
    Buffered Persistence in B+ Trees
    Mingzhe Du
    ,
    Michael L. Scott
  34. 34
    Building Reactive Large Language Model Pipelines with Motion
    Shreya Shankar
    ,
    Aditya G. Parameswaran
  35. 35
    ByteCard: Enhancing ByteDance's Data Warehouse with Learned Cardinality Estimation
    Yuxing Han
    ,
    Haoyu Wang
    ,
    Lixiang Chen
    ,
    Yifeng Dong
    ,
    Xing Chen
    ,
    Benquan Yu
    ,
    Chengcheng Yang
    ,
    Weining Qian
  36. 36
    CaaS-LSM: Compaction-as-a-Service for LSM-based Key-Value Stores in Storage Disaggregated Infrastructure
    Qiaolin Yu
    ,
    Chang Guo
    ,
    Jay Zhuang
    ,
    Viraj Thakkar
    ,
    Jianguo Wang
    ,
    Zhichao Cao
  37. 37
    Cabin: A Compressed Adaptive Binned Scan Index
    Yiyuan Chen
    ,
    Shimin Chen
  38. 38
    CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models
    Hailin Zhang
    ,
    Zirui Liu
    ,
    Boxuan Chen
    ,
    Yikai Zhao
    ,
    Tong Zhao
    ,
    Tong Yang
    ,
    Bin Cui
  39. 39
    CAMAL: Optimizing LSM-trees via Active Learning
    Weiping Yu
    ,
    Siqiang Luo
    ,
    Zihao Yu
    ,
    Gao Cong
  40. 40
    Camel: Efficient Compression of Floating-Point Time Series
    Yuanyuan Yao
    ,
    Lu Chen
    ,
    Ziquan Fang
    ,
    Yunjun Gao
    ,
    Christian S. Jensen
    ,
    Tianyi Li
  41. 41
    Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs
    Minguk Choi
    ,
    Seehwan Yoo
    ,
    Jongmoo Choi
  42. 42
    Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
    Tim Schwabe
    ,
    Maribel Acosta
  43. 43
    CAVE: Concurrency-Aware Graph Processing on SSDs
    Tarikul Islam Papon
    ,
    Taishan Chen
    ,
    Shuo Zhang
    ,
    Manos Athanassoulis
  44. 44
    Certain and Approximately Certain Models for Statistical Learning
    Cheng Zhen
    ,
    Nischal Aryal
    ,
    Arash Termehchy
    ,
    Amandeep Singh Chabada
  45. 45
    ChatPipe: Orchestrating Data Preparation Pipelines by Optimizing Human-ChatGPT Interactions
    Sibei Chen
    ,
    Hanbing Liu
    ,
    Waiting Jin
    ,
    Xiangyu Sun
    ,
    Xiaoyao Feng
    ,
    Ju Fan
    ,
    Xiaoyong Du
    ,
    Nan Tang
  46. 46
    CodeS: Towards Building Open-source Language Models for Text-to-SQL
    Haoyang Li
    ,
    Jing Zhang
    ,
    Hanbing Liu
    ,
    Ju Fan
    ,
    Xiaokang Zhang
    ,
    Jun Zhu
    ,
    Renjie Wei
    ,
    Hongyan Pan
    ,
    Cuiping Li
    ,
    Hong Chen
  47. 47
    Cognitive Psychology Meets Data Management: State of the Art and Future Directions
    Sourav S. Bhowmick
    ,
    S. H. Annabel Chen
    ,
    Divesh Srivastava
  48. 48
    Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy
    Yizhang He
    ,
    Kai Wang
    ,
    Wenjie Zhang
    ,
    Xuemin Lin
    ,
    Ying Zhang
  49. 49
    Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago, Chile, June 9-15, 2024
    Pablo Barceló
    ,
    Nayat Sánchez-Pi
    ,
    Alexandra Meliou
    ,
    S. Sudarshan
  50. 50
    Comquest: Large Scale User Comment Crawling and Integration
    Zhijia Chen
    ,
    Lihong He
    ,
    Arjun Mukherjee
    ,
    Eduard C. Dragut