Leilani Battle

Orcid: 0000-0003-3870-636X

Affiliations:
  • University of Washington, WA, USA


According to our database1, Leilani Battle authored at least 63 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco.
IEEE Trans. Vis. Comput. Graph., January, 2024

Lodestar: Supporting rapid prototyping of data science workflows through data-driven analysis recommendations.
Inf. Vis., January, 2024

Optimizing Dataflow Systems for Scalable Interactive Visualization.
CoRR, 2024

2023
Understanding how Designers Find and Use Data Visualization Examples.
IEEE Trans. Vis. Comput. Graph., 2023

Using Graphical Perception in Visualization Recommendation.
Interactions, 2023

Measuring How Data Science Notebooks Evolve Over Time.
Interactions, 2023

Visualizing Historical Whaling Voyages over Time.
Interactions, 2023

How Does User Behavior Evolve During Exploratory Visual Analysis?
CoRR, 2023

Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public.
CoRR, 2023

How I Met Your Data Science Team: A Tale of Effective Communication.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

WhaleVis: Visualizing the History of Commercial Whaling.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

What Exactly is an Insight? A Literature Review.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

User-Driven Support for Visualization Prototyping in D3.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
An Evaluation-Focused Framework for Visualization Recommendation Algorithms.
IEEE Trans. Vis. Comput. Graph., 2022

Testing theories of task in visual analytics.
Interactions, 2022

Behavior-driven testing of big data exploration tools.
Interactions, 2022

Analyzing online programming communities to enhance visualization languages.
Interactions, 2022

Letter from the Rising Star Award Winner.
IEEE Data Eng. Bull., 2022

How Do Data Science Workers Communicate Intermediate Results?
CoRR, 2022

A Programmatic Definition of Visualization Tasks, Insights, and Objectives.
CoRR, 2022

Lodestar: Supporting Independent Learning and Rapid Experimentation Through Data-Driven Analysis Recommendations.
CoRR, 2022

An Adaptive Benchmark for Modeling User Exploration of Large Datasets.
CoRR, 2022

Scalable Vega: Optimizing Declarative Visualization Languages.
CoRR, 2022

A Programmatic Approach to Applying Visualization Taxonomies to Interaction Logs.
CoRR, 2022

A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs.
Comput. Graph. Forum, 2022

Exploring D3 Implementation Challenges on Stack Overflow.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Streamlining Visualization Authoring in D3 Through User-Driven Templates.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Toward an Interaction-Driven Framework for Modeling Big Data Visualization Systems.
Proceedings of the 24th Eurographics Conference on Visualization, 2022

Demonstration of VegaPlus: Optimizing Declarative Visualization Languages.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander?
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Kyrix-J: Visual Discovery of Connected Datasets in a Data Lake.
Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data.
IEEE Trans. Vis. Comput. Graph., 2021

A Structured Review of Data Management Technology for Interactive Visualization and Analysis.
IEEE Trans. Vis. Comput. Graph., 2021

User-Driven Programming Support for Rapid Visualization Authoring in D3.
CoRR, 2021

Are We There Yet? A Review on Existing Perceptual Theory and Experiment Support for Visualization Recommendation Systems.
CoRR, 2021

Exploring Visualization Implementation Challenges Faced by D3 Users Online.
CoRR, 2021

Guided Hyperparameter Tuning Through Visualization and Inference.
CoRR, 2021

Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
The Role of Latency and Task Complexity in Predicting Visual Search Behavior.
IEEE Trans. Vis. Comput. Graph., 2020

Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data.
Proceedings of the 2020 International Conference on Management of Data, 2020

Debugging Database Queries: A Survey of Tools, Techniques, and Users.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Smile: A System to Support Machine Learning on EEG Data at Scale.
Proc. VLDB Endow., 2019

Kyrix: Interactive Pan/Zoom Visualizations at Scale.
Comput. Graph. Forum, 2019

Characterizing Exploratory Visual Analysis: A Literature Review and Evaluation of Analytic Provenance in Tableau.
Comput. Graph. Forum, 2019

A Provenance Task Abstraction Framework.
IEEE Computer Graphics and Applications, 2019

International Workshop on Human-In-the-Loop Data Analytics (HILDA).
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Evaluating Visual Data Analysis Systems: A Discussion Report.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2018

Beagle: Automated Extraction and Interpretation of Visualizations from the Web.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Behavior-driven optimization techniques for scalable data exploration.
PhD thesis, 2017

Position statement: The case for a visualization performance benchmark.
Proceedings of the IEEE Workshop on Data Systems for Interactive Analysis, 2017

2016
Dynamic Prefetching of Data Tiles for Interactive Visualization.
Proceedings of the 2016 International Conference on Management of Data, 2016

Making Sense of Temporal Queries with Interactive Visualization.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
Skew-Aware Join Optimization for Array Databases.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014
The Case for Data Visualization Management Systems.
Proc. VLDB Endow., 2014

Indexing Cost Sensitive Prediction.
CoRR, 2014

2013
SciDB DBMS Research at M.I.T.
IEEE Data Eng. Bull., 2013

Dynamic reduction of query result sets for interactive visualizaton.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2011
Database-as-a-Service for Long-Tail Science.
Proceedings of the Scientific and Statistical Database Management, 2011

Automatic example queries for ad hoc databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2009
Building the Internet of Things Using RFID: The RFID Ecosystem Experience.
IEEE Internet Comput., 2009


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