Publications

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Most of the papers here have been published by ACM and IEEE, who now own the copyrights.

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2024

  • Peizhi Wu, Ryan Marcus, Zachary G. Ives. Adding Domain Knowledge to Query-Driven Learned Databases. arXiv.
  • Peizhi Wu and Zachary G. Ives. Modeling Shifting Workloads for Learned Database Systems. To appear, SIGMOD 2024.
  • Jiaming Liang, Lei Cao, Sam Madden, Zachary G. Ives, Guoliang Li. RITA: Group Attention is All You Need for Timeseries Analytics. To appear, SIGMOD 2024

2023

  • Jiaming Liang, Lei Cao, Sam Madden, Zachary G. Ives, Guoliang Li. RITA: Group Attention is All You Need for Timeseries Analytics. arXiv 2306.0196

2022

  • Zachary G. Ives, Angela Bonifati, Amr El Abbadi: SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022. ACM 2022, ISBN 978-1-4503-9249-5

2021

  • Nan Zheng, Zachary G. Ives. Compact, Tamper-Resistant Archival of Fine-Grained Provenance. Proc. VLDB Endowment, 2021.
  • Yi Zhang, Zachary G. Ives, Dan Roth. What Is Your Article Based On? Inferring Fine-Grained Provenance. ACL 2021.

2020

  • Yi Zhang, Zachary G. Ives: Finding Related Tables in Data Lakes for Interactive Data Science. SIGMOD Conference 2020
  • Yi Zhang, Zachary G. Ives, Dan Roth: "Who said it, and Why?" Provenance for Natural Language Claims. ACL 2020

2019

  • Yi Zhang, Zachary G. Ives. Demonstration Description - Juneau: Data Lake Management for Jupyter. Proc. VLDB Endow. 12(12). Best Demonstration Award, VLDB 2019.
  • Zachary G. Ives. Technical Perspective: Efficient Signal Reconstruction for a Broad Range of Applications. SIGMOD Rec. 48(1)
  • Yi Zhang, Zachary G. Ives, Dan Roth: Evidence-based Trustworthiness. ACL (1) 2019
  • Nan Zheng, Abdussalam Alawini, Zachary G. Ives: Fine-Grained Provenance for Matching & ETL. ICDE 2019
  • Konstantinos Mamouras, Caleb Stanford, Rajeev Alur, Zachary G. Ives, Val Tannen: Data-trace types for distributed stream processing systems. PLDI 2019

2018

  • Zachary G. Ives. Technical Perspective: Natural Language Explanations for Query Results. SIGMOD Rec. 47(1)
  • Zachary G. Ives. Technical Perspective: From Think Parallel to Think Sequential. SIGMOD Rec. 47(1)

2017

  • Lewis Alexander, Sanjiv R. Das, Zachary G. Ives, H.V. Jagadish, Claire Monteleoni. Research Cahllenges in Financial Data Modeling and Analysis. Big Data 5(3).
  • Konstantinos Mamouras, Mukund Raghothaman, Rajeev Alur, Zachary G. Ives, Sanjeev Khanna. StreamQRE: modular specification and efficient evaluation of quantitative queries over streaming data. PLDI 2017.
  • Zachary G. Ives: Technical Perspective: Scaling Machine Learning via Compressed Linear Algebra. SIGMOD Rec. 46(1)

2016

  • Mengmeng Liu, Zachary G. Ives, and Boon Thau Loo. Enabling Incremental Query Re-Optimization. SIGMOD 2016.
  • Zhepeng Yan, Val Tannen, Zachary G. Ives. Fine-Grained Provenance for Linear Algebra Operators. TaPP 2016.

2015

2014

2013

2012

2011

  • Wenchao Zhou, Ling Ding, Andreas Haeberlen, Boon Thau Loo, Zachary Ives. TAP: Time-Aware Provenance for Distributed Systems. Workshop on Theory And Practice of Provenance (TaPP), 2011.
  • Todd J. Green, Zachary G. Ives, and Val Tannen. Reconciling Differences. Theory of Computing Systems.
  • Wenchao Zhou, Qiong Fei, Shengzhi Sun, Tao Tao, Andreas Haeberlen, Zachary Ives, Boon Thau Loo, Micah Sherr. NetTrails: A Declarative Platform for Maintaining and Querying Provenance in Distributed Systems. Demonstration description, SIGMOD 2011.
  • Marie Jacob and Zachary G. Ives. Sharing work in Keyword Search over Databases. SIGMOD 2011.

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