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Doris Jung-Lin Lee
Doris Jung-Lin Lee
PhD Student, University of California, Berkeley
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
" I don't Want to Wear a Screen" Probing Perceptions of and Possibilities for Dynamic Displays on Clothing
L Devendorf, J Lo, N Howell, JL Lee, NW Gong, ME Karagozler, ...
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016
1812016
Skintillates: Designing and creating epidermal interactions
J Lo, DJL Lee, N Wong, D Bui, E Paulos
Proceedings of the 2016 ACM Conference on Designing Interactive Systems, 853-864, 2016
872016
Towards scalable dataframe systems
D Petersohn, S Macke, D Xin, W Ma, D Lee, X Mo, JE Gonzalez, ...
arXiv preprint arXiv:2001.00888, 2020
562020
Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data
AT Ling Jin, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C. Anna Spurlock
2nd International Workshop on Artificial Intelligence for Smart Grids and …, 2017
50*2017
A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead
DJL Lee, S Macke
IEEE Data Engineering Bulletin, 2020
492020
Avoiding drill-down fallacies with VisPilot assisted exploration of data subsets
DJL Lee, H Dev, H Hu, H Elmeleegy, A Parameswaran
Proceedings of the 24th International Conference on Intelligent User …, 2019
412019
Whither automl? understanding the role of automation in machine learning workflows
D Xin, EY Wu, DJL Lee, N Salehi, A Parameswaran
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
402021
You can’t always sketch what you want: Understanding Sensemaking in Visual Query Systems
DJL Lee, J Lee, T Siddiqui, J Kim, K Karahalios, A Parameswaran
IEEE transactions on visualization and computer graphics 26 (1), 1267-1277, 2019, 2019
34*2019
Fine-grained lineage for safer notebook interactions
S Macke, H Gong, DJL Lee, A Head, D Xin, A Parameswaran
arXiv preprint arXiv:2012.06981, 2020
222020
Lux: always-on visualization recommendations for exploratory dataframe workflows
DJL Lee, D Tang, K Agarwal, T Boonmark, C Chen, J Kang, ...
arXiv preprint arXiv:2105.00121, 2021
172021
Identifying fashion accounts in social networks
DJL Lee, J Han, D Chambourova, R Kumar
KDDW on ML meets fashion, 2017
142017
The Case for a Visual Discovery Assistant: A Holistic Solution for Accelerating Visual Data Exploration.
DJL Lee, AG Parameswaran
IEEE Data Eng. Bull. 41 (3), 3-14, 2018
122018
Crowdclass: Designing classification-based citizen science learning modules
DJ Lee, J Lo, M Kim, E Paulos
Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016
122016
Deconstructing categorization in visualization recommendation: A taxonomy and comparative study
DJL Lee, V Setlur, M Tory, K Karahalios, A Parameswaran
IEEE Transactions on Visualization and Computer Graphics 28 (12), 4225-4239, 2021
82021
Demystifying a dark art: Understanding real-world machine learning model development
A Lee, D Xin, D Lee, A Parameswaran
arXiv preprint arXiv:2005.01520, 2020
62020
Microstructure evolution in ultrafine-grained interstitial free steel processed by high pressure torsion
M Janeček, T Krajňák, J Stráská, J Čížek, DJ Lee, HS Kim, J Gubicza
IOP Conference Series: Materials Science and Engineering 63 (1), 012055, 2014
62014
Seven lessons from the crowdsourced law reform in Finland
T Aitamurto, H Landemore, D Lee, A Goel
The Governance Lab@ NYU. Retrieved August 29, 2021, 2013
52013
Insight Machines: The Past
DJL Lee
Present, and Future of Visualization Recommendation, 2020
42020
Boomerang: Proactive insight-based recommendations for guiding conversational data analysis
DJL Lee, A Quamar, E Kandogan, F Özcan
Proceedings of the 2021 International Conference on Management of Data, 2750 …, 2021
32021
Framing electronic medical records as polylingual documents in query expansion
EW Huang, S Wang, DJL Lee, R Zhang, B Liu, X Zhou, CX Zhai
AMIA Annual Symposium Proceedings 2017, 940, 2017
32017
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Articles 1–20