Doris Jung Lin Lee

Orcid: 0000-0003-1922-2482

According to our database1, Doris Jung Lin Lee authored at least 21 papers between 2016 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study.
IEEE Trans. Vis. Comput. Graph., 2022

Leveraging Analysis History for Improved In Situ Visualization Recommendation.
Comput. Graph. Forum, 2022

2021
Fine-Grained Lineage for Safer Notebook Interactions.
Proc. VLDB Endow., 2021

Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows.
Proc. VLDB Endow., 2021

Lux: Always-on Visualization Recommendations for Exploratory Data Science.
CoRR, 2021

Boomerang: Proactive Insight-Based Recommendations for Guiding Conversational Data Analysis.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems.
IEEE Trans. Vis. Comput. Graph., 2020

Towards Scalable Dataframe Systems.
Proc. VLDB Endow., 2020

Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying.
Patterns, 2020

Towards an Integrated Solution for Intelligent Visual Data Discovery.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019
A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead.
IEEE Data Eng. Bull., 2019

SCATTERSEARCH: Visual Querying of Scatterplot Visualizations.
CoRR, 2019

Avoiding drill-down fallacies with <i>VisPilot</i>: assisted exploration of data subsets.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

2018
The Case for a Visual Discovery Assistant: A Holistic Solution for Accelerating Visual Data Exploration.
IEEE Data Eng. Bull., 2018

Aggregating Crowdsourced Image Segmentations.
Proceedings of the HCOMP 2018 Works in Progress and Demonstration Papers Track of the sixth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), 2018

2017
Accelerating Scientific Data Exploration via Visual Query Systems.
CoRR, 2017

2016
Demo hour.
Interactions, 2016

Crowdclass: Designing Classification-Based Citizen Science Learning Modules.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

"I don't Want to Wear a Screen": Probing Perceptions of and Possibilities for Dynamic Displays on Clothing.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Skintillates: Designing and Creating Epidermal Interactions.
Proceedings of the 2016 ACM Conference on Designing Interactive Systems, DIS '16, Brisbane, QLD, Australia, June 04, 2016


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