Conference Papers and Journal Articles

Optimizing Dataflow Systems for Scalable Interactive Visualization
Junran Yang, Hyekang Kevin Joo, Sai Yerramreddy, Dominik Moritz, and Leilani Battle
(to appear in) SIGMOD 2024
What Do We Mean When We Say "Insight"? A Formal Synthesis of Existing Theory
Leilani Battle and Alvitta Ottley
IEEE TVCG (Oct 2023)
WhaleVis: Visualizing the History of Commercial Whaling
Ameya Patil, Trevor A. Branch, Zoe Rand, and Leilani Battle
IEEE VIS 2023
How I Met Your Data Science Team: A Tale of Effective Communication
Aayushi Roy, Deepthi Raghunandan, Niklas Elmqvist and Leilani Battle
IEEE VL/HCC 2023
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco
Zehua Zeng, Junran Yang, Dominik Moritz, Jeffrey Heer, and Leilani Battle
IEEE VIS 2023
Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time
Deepthi Raghunandan, Aayushi Roy, Shenzhi Shi, Niklas Elmqvist and Leilani Battle
Best Paper Honorable Mention, CHI 2023
A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation
Zehua Zeng and Leilani Battle
CHI 2023
User-Driven Support for Visualization Prototyping in D3
Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, Bissaka Kenah, John P Dickerson, and Leilani Battle
IUI 2023
Understanding how Designers Find and Use Data Visualization Examples
Hannah Bako, Xinyi Liu, Leilani Battle, and Zhicheng Liu
VIS 2022
Exploring D3 Implementation Challenges on Stack Overflow
Leilani Battle, Danni Feng, and Kelli Webber
Best Paper Award Winner, VIS 2022 -- Short Papers
Streamlining Visualization Authoring in D3 Through User-Driven Templates
Hannah Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerisse, Bissaka Kenah, Leilani Battle
VIS 2022 -- Short Papers
A Grammar-Based Approach to Applying Visualization Taxonomies to Interaction Logs
Sneha Gathani, Shayan Monadjemi, Alvitta Ottley, and Leilani Battle
EuroVis 2022
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health.
Calvin Bao, Siyao Li, Sarah Flores, Michael Correll, Leilani Battle
CHI 2022
Kyrix-J: Visual Discovery of Connected Datasets in a Data Lake
Wenbo Tao, Adam Sah, Leilani Battle, Remco Chang, and Michael Stonebraker
CIDR 2022
An Evaluation-Focused Framework for Visualization Recommendation Algorithms.
Zehua Zeng, Phoebe Moh, Fan Du, Jane Hoffswell, Tak Yeon Lee, Sana Malik, Eunyee Koh, and Leilani Battle
Best Paper Honorable Mention, VIS 2021
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations.
Rachael Zehrung* and Astha Singhal*, Michael Correll, and Leilani Battle
CHI 2021
* = First authors, contributed equally.
If you want more women in your workforce, here's how to recruit
Emma Pierson, Elissa M. Redmiles, Leilani Battle and Jessica Hullman
Nature -- Careers (Aug. 26, 2020)
A Structured Review of Data Management Technology for Interactive Visualization and Analysis
Leilani Battle, Carlos Scheidegger
InfoVis 2020
Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data
Wenbo Tao, Xinli Hou, Adam Sah, Leilani Battle, Remco Chang and Michael Stonebraker
InfoVis 2020
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data
Leilani Battle, Philipp Eichmann, Marco Angelini, Carsten Binnig, Tiziana Catarci, Jean-Daniel Fekete, Giuseppe Santucci, Dominik Moritz, Yukun Zheng
SIGMOD 2020
paper (preprint) | GitHub page | OSF repository | video presentation (youtube) | bibtex
Debugging Database Queries: A Survey of Tools, Techniques, and Users
Sneha Gathani, Peter Lim, Leilani Battle
CHI 2020
A Provenance Task Abstraction Framework
Christian Bors, John Wenskovitch, Michelle Dowling, Simon Attfield, Leilani Battle, Alex Endert, Olga Kulyk, and Robert S. Laramee
IEEE Computer Graphics and Applications (Volume: 39, Issue: 6, Nov.-Dec. 1 2019)
The Role of Latency and Task Complexity in Predicting Visual Search Behavior
Leilani Battle, R. Jordan Crouser, Audace Nakeshimana, Ananda Montoly, Remco Chang, and Michael Stonebraker
InfoVis 2019
Smile: A System to Support Machine Learning on EEG Data at Scale.
Lei Cao, Wenbo Tao, Sungtae An, Jing Jin, Yizhou Yan, Xiaoyu Liu, Wendong Ge, Adam Sah, Leilani Battle, Jimeng Sun, Remco Chang, Brandon Westover, Samuel Madden, and Michael Stonebraker.
VLDB 2019
Characterizing Exploratory Visual Analysis: A Literature Review and Evaluation of Analytic Provenance in Tableau
Leilani Battle and Jeffrey Heer.
EuroVis 2019
Kyrix: Interactive Pan/Zoom Visualizations at Scale
Wenbo Tao, Xiaoyu Liu, Yedi Wang, Leilani Battle, Çagatay Demiralp, Remco Chang, and Michael Stonebraker
EuroVis 2019
Beagle: Automated Extraction and Interpretation of Visualizations from the Web
Leilani Battle, Peitong Duan, Zachery Miranda, Dana Mukusheva, Remco Chang, and Michael Stonebraker.
CHI 2018
Dynamic Prefetching of Data Tiles for Interactive Visualization
Leilani Battle, Remco Chang, and Michael Stonebraker.
SIGMOD 2016
Making Sense of Temporal Queries with Interactive Visualization
Leilani Battle, Danyel Fisher, Robert DeLine, Mike Barnett, Badrish Chandramouli, Jonathan Goldstein
CHI 2016
Skew-Aware Join Optimization for Array Databases.
Jennie Duggan, Olga Papaemmanouil, Leilani Battle, and Michael Stonebraker.
SIGMOD 2015
The Case for Data Visualization Management Systems [Vision Paper].
Eugene Wu, Leilani Battle, and Samuel R. Madden.
VLDB 2014
Database-as-a-Service for Long-Tail Science.
Bill Howe, Garrett Cole, Emad Soroush, Paraschos Koutris, Alicia Key, Nodira Khoussainova, and Leilani Battle.
SSDBM 2011
Automatic example queries for ad-hoc databases
Bill Howe, Garrett Cole, Nodira Khoussainova, and Leilani Battle.
SIGMOD 2011
Building the Internet of Things Using RFID: The RFID Ecosystem Experience
Evan Welbourne, Leilani Battle, Garrett Cole, Kayla Gould, Kyle Rector, Samuel Raymer, Magdalena Balazinska, Gaetano Borriello
IEEE Internet Computing 13(3): 48-55 (2009)

Workshop and Symposium Papers

How Do Data Science Workers Communicate Intermediate Results?
Rock Yuren Pang, Ruotong Wang, Joely Nelson, and Leilani Battle
VDS Symposium 2022 (co-located with KDD 2021 and VIS 2022)
Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations.
Deepthi Raghunandan, Zhe Cui, Kartik Krishnan, Segen Tirfe, Shenzhi Shi, Tejaswi Shrestha, Leilani Battle, and Niklas Elmqvist.
VDS Symposium 2021 (co-located with KDD 2021 and VIS 2021)
Leveraging Human Learning in Interactive Data Exploration
Sanad Saha, Arash Termehchy, and Leilani Battle.
CAST 2019 (co-located with VLDB 2019)
Evaluating Visual Data Analysis Systems: A Discussion Report.
Leilani Battle, Marco Angelini, Carsten Binnig, Tiziana Catarci, Philipp Eichmann, Jean-Daniel Fekete, Giuseppe Santucci, Michael Sedlmair and Wesley Willett.
HILDA 2018 (co-located with SIGMOD 2018)
Position Statement: The Case for a Visualization Performance Benchmark
Leilani Battle, Remco Chang, Jeffrey Heer, and Michael Stonebraker.
DSIA Workshop 2017 (co-located with VIS 2017)
Making Sense of Temporal Queries with Fine-Grained Provenance.
Leilani Battle, Danyel Fisher, Mike Barnett, Badrish Chandramouli, Rob DeLine, and Jonathan Goldstein.
Provenance for Sensemaking Workshop (co-located with VIS 2014)
Dynamic Reduction of Query Result Sets for Interactive Visualization.
Leilani Battle, Remco Chang and Michael Stonebraker.
IEEE Workshop on Big Data Visualization 2013

Theses

Behavior-Driven Optimization Techniques for Scalable Data Exploration
Doctoral Thesis, MIT EECS, 5/2017
Interactive Visualization of Big Data Leveraging Databases for Scalable Computation
Masters Thesis, MIT EECS, 8/2013

Technical Reports

User-Driven Programming Support for Rapid Visualization Authoring in D3
Hannah K. Bako, Alisha Varma, Anuoluwapo Faboro, Mahreen Haider, Favour Nerrise, John P. Dickerson, and Leilani Battle
Technical Report (in arXiv): arXiv:2112.03179 [cs.HC], 2021
Exploring Visualization Implementation Challenges Faced by D3 Users Online
Leilani Battle, Danni Feng, and Kelli Webber
Technical Report (in arXiv): arXiv:2108.02299 [cs.HC], 2021
Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems
Zehua Zeng, Minhui Xie, Matthew Gouzoulis, and Leilani Battle
Technical Report (in arXiv): arXiv:2109.01271 [cs.HC], 2021
Beagle: Automated Extraction and Interpretation of Visualizations from the Web
Leilani Battle, Peitong Duan, Zachery Miranda, Dana Mukusheva, Remco Chang, Michael Stonebraker
Technical Report (in arXiv): arXiv:1711.05962 [cs.HC], 2017
Dynamic Prefetching of Data Tiles for Interactive Visualization
MIT CSAIL Technical Report (in DSpace@MIT): MIT-CSAIL-TR-2015-031, 2015
Indexing Cost Sensitive Prediction
Leilani Battle, Edward Benson, Aditya Parameswaran, and Eugene Wu
Technical Report (in arXiv): arXiv:1408.4072 [cs.LG], 2014

Miscellaneous

SciDB DBMS Research at M.I.T..
Michael Stonebraker, Jennie Duggan, Leilani Battle, and Olga Papaemmanouil.
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering (Dec. 2013 Issue)
Dynamic Reduction of Query Result Sets for Interactive Visualization [Demonstration].
Leilani Battle, Remco Chang and Michael Stonebraker.
XLDB 2013