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 Comput., 2009)

Automatic example queries for ad hoc databases. - Bill Howe; Garrett Cole; Nodira Khoussainova; Leilani Battle (SIGMOD Conference, 2011)

Database-as-a-Service for Long-Tail Science. - Bill Howe; Garrett Cole; Emad Soroush; Paraschos Koutris; Alicia Key; Nodira Khoussainova; Leilani Battle (SSDBM, 2011)

Dynamic reduction of query result sets for interactive visualizaton. - Leilani Battle; Michael Stonebraker; Remco Chang (IEEE BigData, 2013)

SciDB DBMS Research at M.I.T. - Michael Stonebraker; Jennie Duggan; Leilani Battle; Olga Papaemmanouil (IEEE Data Eng. Bull., 2013)

Indexing Cost Sensitive Prediction. - Leilani Battle; Edward Benson; Aditya G. Parameswaran; Eugene Wu 002 (CoRR, 2014)

The Case for Data Visualization Management Systems. - Eugene Wu 002; Leilani Battle; Samuel Madden 001 (Proc. VLDB Endow., 2014)

Skew-Aware Join Optimization for Array Databases. - Jennie Duggan; Olga Papaemmanouil; Leilani Battle; Michael Stonebraker (SIGMOD Conference, 2015)

Making Sense of Temporal Queries with Interactive Visualization. - Leilani Battle; Danyel Fisher; Robert DeLine; Mike Barnett 001; Badrish Chandramouli; Jonathan Goldstein (CHI, 2016)

Dynamic Prefetching of Data Tiles for Interactive Visualization. - Leilani Battle; Remco Chang; Michael Stonebraker (SIGMOD Conference, 2016)

Position statement: The case for a visualization performance benchmark. - Leilani Battle; Remco Chang; Jeffrey Heer; Mike Stonebraker (DSIA, 2017)

Behavior-driven optimization techniques for scalable data exploration. - Leilani Battle (2017)

Beagle: Automated Extraction and Interpretation of Visualizations from the Web. - Leilani Battle; Peitong Duan; Zachery Miranda; Dana Mukusheva; Remco Chang; Michael Stonebraker (CHI, 2018)

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; Wesley Willett (HILDA@SIGMOD, 2018)

International Workshop on Human-In-the-Loop Data Analytics (HILDA). - Leilani Battle; Surajit Chaudhuri; Arnab Nandi 001 (SIGMOD Conference, 2019)

A Provenance Task Abstraction Framework. - Christian Bors; John E. Wenskovitch; Michelle Dowling; Simon Attfield; Leilani Battle; Alex Endert; Olga Kulyk; Robert S. Laramee (IEEE Computer Graphics and Applications, 2019)

Characterizing Exploratory Visual Analysis: A Literature Review and Evaluation of Analytic Provenance in Tableau. - Leilani Battle; Jeffrey Heer (Comput. Graph. Forum, 2019)

Kyrix: Interactive Pan/Zoom Visualizations at Scale. - Wenbo Tao; Xiaoyu Liu; Yedi Wang; Leilani Battle; Çagatay Demiralp; Remco Chang; Michael Stonebraker (Comput. Graph. Forum, 2019)

Smile: A System to Support Machine Learning on EEG Data at Scale. - Lei Cao 004; Wenbo Tao; Sungtae An; Jing Jin 004; Yizhou Yan; Xiaoyu Liu; Wendong Ge; Adam Sah; Leilani Battle; Jimeng Sun 001; Remco Chang; M. Brandon Westover; et al. (Proc. VLDB Endow., 2019)

Debugging Database Queries: A Survey of Tools, Techniques, and Users. - Sneha Gathani; Peter Lim; Leilani Battle (CHI, 2020)

Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data. - Leilani Battle; Philipp Eichmann; Marco Angelini; Tiziana Catarci; Giuseppe Santucci; Yukun Zheng; Carsten Binnig; Jean-Daniel Fekete; Dominik Moritz (SIGMOD Conference, 2020)

The Role of Latency and Task Complexity in Predicting Visual Search Behavior. - Leilani Battle; R. Jordan Crouser; Audace Nakeshimana; Ananda Montoly; Remco Chang; Michael Stonebraker (IEEE Trans. Vis. Comput. Graph., 2020)

Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations. - Rachael Zehrung; Astha Singhal; Michael Correll; Leilani Battle (CHI, 2021)

Guided Hyperparameter Tuning Through Visualization and Inference. - Hyekang Joo; Calvin Bao; Ishan Sen; Furong Huang; Leilani Battle (CoRR, 2021)

Exploring Visualization Implementation Challenges Faced by D3 Users Online. - Leilani Battle; Danni Feng; Kelli Webber (CoRR, 2021)

Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems. - Zehua Zeng; Minhui Xie; Matthew Gouzoulis; Leilani Battle (CoRR, 2021)

User-Driven Programming Support for Rapid Visualization Authoring in D3. - Hannah K. Bako; Alisha Varma; Anuoluwapo Faboro; Mahreen Haider; Favour Nerrise; John P. Dickerson; Leilani Battle (CoRR, 2021)

A Structured Review of Data Management Technology for Interactive Visualization and Analysis. - Leilani Battle; Carlos Scheidegger (IEEE Trans. Vis. Comput. Graph., 2021)

Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data. - Wenbo Tao; Xinli Hou; Adam Sah; Leilani Battle; Remco Chang; Michael Stonebraker (IEEE Trans. Vis. Comput. Graph., 2021)

Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health. - Calvin S. Bao; Siyao Li; Sarah G. 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; Michael Stonebraker (CIDR, 2022)

The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander? - Anastasia Ailamaki; Leilani Battle; Johannes Gehrke; Masaru Kitsuregawa; David Maier 001; Christopher Ré; Meihui Zhang 001; Magdalena Balazinska (SIGMOD Conference, 2022)

Demonstration of VegaPlus: Optimizing Declarative Visualization Languages. - Junran Yang; Hyekang Kevin Joo; Sai S. Yerramreddy; Siyao Li; Dominik Moritz; Leilani Battle (SIGMOD Conference, 2022)

Toward an Interaction-Driven Framework for Modeling Big Data Visualization Systems. - Dario Benvenuti; Giovanni Fiordeponti; Hao Cheng; Tiziana Catarci; Jean-Daniel Fekete; Giuseppe Santucci; Marco Angelini; Leilani Battle (EuroVis (Posters), 2022)

Streamlining Visualization Authoring in D3 Through User-Driven Templates. - Hannah K. Bako; Alisha Varma; Anuoluwapo Faboro; Mahreen Haider; Favour Nerrise; Bissaka Kenah; Leilani Battle (IEEE VIS (Short Papers), 2022)

Exploring D3 Implementation Challenges on Stack Overflow. - Leilani Battle; Danni Feng; Kelli Webber (IEEE VIS (Short Papers), 2022)

A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs. - Sneha Gathani; Shayan Monadjemi; Alvitta Ottley; Leilani Battle (Comput. Graph. Forum, 2022)

A Programmatic Approach to Applying Visualization Taxonomies to Interaction Logs. - Sneha Gathani; Shayan Monadjemi; Alvitta Ottley; Leilani Battle (CoRR, 2022)

Scalable Vega: Optimizing Declarative Visualization Languages. - Junran Yang; Hyekang Kevin Joo; Sai S. Yerramreddy; Siyao Li; Dominik Moritz; Leilani Battle (CoRR, 2022)

An Adaptive Benchmark for Modeling User Exploration of Large Datasets. - Joanna Purich; Hira Mahmood; Diana Chou; Chidi Udeze; Leilani Battle (CoRR, 2022)

Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations. - Deepthi Raghunandan; Zhe Cui 001; Kartik Krishnan; Segen Tirfe; Shenzhi Shi; Tejaswi Darshan Shrestha; Leilani Battle; Niklas Elmqvist (CoRR, 2022)

A Programmatic Definition of Visualization Tasks, Insights, and Objectives. - Leilani Battle; Alvitta Ottley (CoRR, 2022)

How Do Data Science Workers Communicate Intermediate Results? - Rock Yuren Pang; Ruotong Wang 002; Joely Nelson; Leilani Battle (CoRR, 2022)

Letter from the Rising Star Award Winner. - Leilani Battle (IEEE Data Eng. Bull., 2022)

Analyzing online programming communities to enhance visualization languages. - Leilani Battle (Interactions, 2022)

Behavior-driven testing of big data exploration tools. - Leilani Battle (Interactions, 2022)

Testing theories of task in visual analytics. - Leilani Battle; Alvitta Ottley (Interactions, 2022)

An Evaluation-Focused Framework for Visualization Recommendation Algorithms. - Zehua Zeng; Phoebe Moh; Fan Du; Jane Hoffswell; Tak Yeon Lee; Sana Malik; Eunyee Koh; Leilani Battle (IEEE Trans. Vis. Comput. Graph., 2022)

Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time. - Deepthi Raghunandan; Aayushi Roy; Shenzhi Shi; Niklas Elmqvist; Leilani Battle (CHI, 2023)

A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation. - Zehua Zeng; 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; Leilani Battle (IUI, 2023)

What Exactly is an Insight? A Literature Review. - Leilani Battle; Alvitta Ottley (IEEE VIS (Short Papers), 2023)

WhaleVis: Visualizing the History of Commercial Whaling. - Ameya B. Patil; Zoe Rand; Trevor Branch; Leilani Battle (IEEE VIS (Short Papers), 2023)

How I Met Your Data Science Team: A Tale of Effective Communication. - Aayushi Roy; Deepthi Raghunandan; Niklas Elmqvist; Leilani Battle (VL/HCC, 2023)

Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public. - Joanna Purich; Arjun Srinivasan; Michael Correll; Leilani Battle; Vidya Setlur; Anamaria Crisan (CoRR, 2023)

How Does User Behavior Evolve During Exploratory Visual Analysis? - Sanad Saha; Nischal Aryal; Leilani Battle; Arash Termehchy (CoRR, 2023)

Visualizing Historical Whaling Voyages over Time. - Leilani Battle; Ameya B. Patil; Trevor A. Branch; Zoe Rand (Interactions, 2023)

Measuring How Data Science Notebooks Evolve Over Time. - Deepthi Raghunandan; Niklas Elmqvist; Leilani Battle (Interactions, 2023)

Using Graphical Perception in Visualization Recommendation. - Zehua Zeng; Leilani Battle (Interactions, 2023)

Understanding how Designers Find and Use Data Visualization Examples. - Hannah K. Bako; Xinyi Liu 001; Leilani Battle; Zhicheng Liu 001 (IEEE Trans. Vis. Comput. Graph., 2023)

User Learning In Interactive Data Exploration. - Sanad Saha; Nischal Aryal; Leilani Battle; Arash Termehchy (ICDE, 2024)

ShiftScope: Adapting Visualization Recommendations to Users' Dynamic Data Focus. - Sanad Saha; Nischal Aryal; Leilani Battle; Arash Termehchy (SIGMOD Conference Companion, 2024)

Considering Visualization Example Galleries. - Junran Yang; Andrew M. McNutt; Leilani Battle (VL/HCC, 2024)

How do Observable Users Decompose D3 Code? An Exploratory Study. - Melissa Lin; Heer Patel; Medina Lamkin; Tukey Tu; Hannah K. Bako; Soham Raut; Leilani Battle (CoRR, 2024)

A Systematic Review of Visualization Recommendation Systems: Goals, Strategies, Interfaces, and Evaluations. - Zehua Zeng; Leilani Battle (Found. Trends Databases, 2024)

Lodestar: Supporting rapid prototyping of data science workflows through data-driven analysis recommendations. - Deepthi Raghunandan; Zhe Cui 001; Kartik Krishnan; Segen Tirfe; Shenzhi Shi; Tejaswi Darshan Shrestha; Leilani Battle; Niklas Elmqvist (Inf. Vis., 2024)

Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco. - Zehua Zeng; Junran Yang; Dominik Moritz; Jeffrey Heer; Leilani Battle (IEEE Trans. Vis. Comput. Graph., 2024)

Optimizing Dataflow Systems for Scalable Interactive Visualization. - Junran Yang; Hyekang Kevin Joo; Sai S. Yerramreddy; Dominik Moritz; Leilani Battle (Proc. ACM Manag. Data, 2024)

What Do We Mean When We Say "Insight"? A Formal Synthesis of Existing Theory. - Leilani Battle; Alvitta Ottley (IEEE Trans. Vis. Comput. Graph., 2024)

African Data Ethics: A Discursive Framework for Black Decolonial AI. - Teanna Barrett; Chinasa T. Okolo; B. Biira; Eman Sherif; Amy X. Zhang; Leilani Battle (FAccT, 2025)

A Design Space of Behavior Change Interventions for Responsible Data Science. - Ziwei Dong; Teanna Barrett; Ameya B. Patil; Yuichi Shoda; Leilani Battle; Emily Wall 001 (IUI, 2025)

Analyzing the Shifts in Users Data Focus in Exploratory Visual Analysis. - Sanad Saha; Nischal Aryal; Leilani Battle; Arash Termehchy (IUI, 2025)

Behavior Matters: An Alternative Perspective on Promoting Responsible Data Science. - Ziwei Dong; Ameya B. Patil; Yuichi Shoda; Leilani Battle; Emily Wall 001 (Proc. ACM Hum. Comput. Interact., 2025)

Unveiling How Examples Shape Visualization Design Outcomes. - Hannah K. Bako; Xinyi Liu 001; Grace Ko; Hyemi Song; Leilani Battle; Zhicheng Liu 001 (IEEE Trans. Vis. Comput. Graph., 2025)

DracoGPT: Extracting Visualization Design Preferences from Large Language Models. - Huichen Will Wang; Mitchell Gordon; Leilani Battle; Jeffrey Heer (IEEE Trans. Vis. Comput. Graph., 2025)

African Data Ethics: A Discursive Framework for Black Decolonial Data Science. - Teanna Barrett; Chinasa T. Okolo; B. Biira; Eman Sherif; Amy X. Zhang; Leilani Battle (CoRR, 2025)

An Adaptive Benchmark for Modeling User Exploration of Large Datasets. - Joanna Purich; Anthony Wise; Leilani Battle (Proc. ACM Manag. Data, 2025)

From Dashboard Zoo to Census: A Case Study With Tableau Public. - Arjun Srinivasan; Joanna Purich; Michael Correll; Leilani Battle; Vidya Setlur; Anamaria Crisan (IEEE Trans. Vis. Comput. Graph., 2025)