Crowdsourced Image Segmentation
HCOMP 2018, Demo Paper
Developed techniques for evaluating the quality of crowdsourced image segmentation by aggregating across multiple workers.
Doris Jung-Lin Lee
I am a third-year graduate student at University of Illinois, Urbana-Champaign working with Professor Aditya Parameswaran. My current research interest lies in interactive data analytics, visualization, database usability, and human-computer interaction. I am currently working on research problems related to visualization recommendation and query specification interfaces. I received my Bachelor's degree in physics and astrophysics from UC Berkeley in 2016.
News Updates
- 12/08/2018: Our paper on VisPilot, a system that prevents users from falling prey to the "drill-down fallacy" is accepted to IUI 2019!
- 09/10/2018: Our paper on visual discovery assistant (VIDA) is published in IEEE Data Engineering Bulletin's special issue on Insights and Explanations in Data Analysis!
- 08/04/2018: Returning to UIUC after an amazing summer with Vidya Setlur and Melanie Tory at Tableau Research!
Publications
Avoiding Drill-down Fallacies with VisPilot: Assisted Exploration of Data SubsetsIUI 2019 |
You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems |
The Case for a Visual Discovery Assistant: A Holistic Solution for Accelerating Visual Data Exploration
[PDF]
IEEE Data Bulletin |
Crowdclass: Designing classification-based citizen science learning modulesHCOMP 2016 |
Skintillates: Design and Prototype Epidermal Interactions
[Project Page] [PDF]
DIS 2016 Honorable Mention Award |
‘I dont want to wear a screen’: Probing perceptions of and possibilities for dynamic displays on clothing
[Project Page] [PDF]
CHI 2016 Best Paper Award |
Past Projects
Social Behavioural Data Mining
Fashion Account Discovery
KDD 2017, ML4Fashion Workshop
Classification and crawling Twitter data to identify fashion accounts in social networks.
Energy Usage Patterns
AAAI 2017, AI for Smart Grids & Buildings Workshop
Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data.
Fabrication tools & Wearables
Shrinky Circuits
Developing a rapid prototyping technique for building circuit boards without involving conventional PCB/chemical etching procedures.
Project Jacquard
Collaboration with Google Advanced Technologies and Projects (ATAP) group on a new type of interactive wearable technology.
Skintillates
Creating low-cost, accessible fabrication technique for on-skin wearable electronics that can integrate with a variety of electronic components.
Cosmological Data Mining
Pattern Discovery and Large-Scale Data Mining on Cosmological Datasets. [Poster]Workshop on Algorithms for Modern Massive Data Sets (MMDS 2016).
RC3 Mosaics
Designing a pipeline for generating scientifically calibrated images of large nearby RC3 galaxies using an adaptive algorithm for positional update.
Halo Finder
Applying unsupervised machine learning algorithms to cosmological simulations for finding dark matter haloes.
SDSS Imaging Systematics
Investigating how systematics affect the imaging data quality from the Sloan Digital Sky Survey.
Astrophysical Fluid Simulations
Star Formation
Magnetohydrodynamics, adaptive mesh refinement simulations for the evolution of a collapsing dense core.
Accretion Disk
Investigating the effects of Papaloizou-Pringle and magnetorotational instabilities in accretion disk torus.
astroSim-tutorial
Jupyter Notebook tutorials on how to build, run, and analyze astrophysical simulations.