Jun-2021: Looking forward to giving a keynote at the
SEA DATA workshop at VLDB 2021 this summer! Aug-2020:
For Highly Interactive Apps, Prediction Is Not Enough! is a blog post to introduce our Khameleon paper. Haneen also recorded a short YouTube video summarizing our work. Jul-2020: FLAWLESS VICTORY! Khameleon, our rethink of client-server communication for interactive applications will be presented at VLDB 2020! With Haneen Mohammed, Tracy Wei, and Ravi Netravali. This makes the sixth
mortal kombat-based system that has fallen to science. Jun-2020: Haneen participated in, and won,
first place at the 2020 SIGMOD student research competition for her work on Khameleon!! Mar-2020: FATALITY! A
new mortal kombat-themed system has been beaten into submission. Our full paper about Rain: Complaint-driven Training Data Debugging for Query 2.0 will be presented at SIGMOD 2020! With Young Wu, Lampros Flokas, and Jiannan Wang. Feb-2020: Excited to share our demo for
Physical Visualization Design at SIGMOD 2020! With Lana Ramjit, Zhaoning Kong, and Ravi Netravali. Feb-2020: Lampros will present our work
Towards Complaint-driven ML Workflow Debugging at the MLOps workshop, part of MLSys! With Young Wu and Jiannan Wang. Feb-2020: Yiru presented our work on
layout-sensitive interface generation at the Intelligent Process Automation workshop at AAAI! Dec-2019: Delighted to recieve the NSF CAREER for automatically generating interactive data analysis interfaces!
Aug-2019: Eugene gives a tutorial at the VLDB Summer School in Beijing, talk at 8th Workshop for Big Data Analysis and Systems in China, and at Tsinghua University.
Jul-2019: Our undergrads
Lauren Arnett and Robert Netzorg will be presenting their late breaking work on studying popularity on live streaming platforms at CHI next month! Jun-2019: Our papers
DeepBase: Deep Inspection of Neural Network, and Mining Precision Interfaces From Query Logs will be presented at SIGMOD 2019! Looking forward to presenting our
Deep Neural Inspection work at LearningSys@Neurips!
News article about our At-a-Glance paper at VIS 2018!
New blog post about WuLab at VLDB 2018 Extremely honored to win the 2018 VLDB 10-Year Test-of-Time Award for
WebTables: exploring the power of tables on the web. Has it really been 10 years? Our
At a Glance: Pixel Approximate Entropy paper that proposes a quantitative measure of perceptual chart complexity has been accepted to InfoVIS 2018! Congrats Gabriel Ryan and Abby Mosca! Created a
Blog for the WuLab to describe the research that we do and the assistant professor experience. Fotis will present the deep connections between
Provenance and Interactive Interfaces at HILDA 2018, and a demo of Smoke at SIGMOD 2018! Thibault Sellam will demo our work with HaoCi and Viraj on
automatically generating multi-modal exploration interfaces from query logs at SIGMOD 2018!
Hamed Nilforoshan will present his Writing Feedback Generation work at ICWSM 2018 in Stanford! Thankful to win the
Google Research Faculty Fellowship! Excited for
Thibault Sellam to present our vision of bringing software engineering concepts to understanding neural networks! Won the
Amazon Faculty Research Award! Released a
probabilistic model of research New VLDB 18 paper:
Fine-grained data lineage at SMOKIN’ fast speeds!! Fast enough and low enough overhead to power real-time interactive applications! Our undergrad
Hamed Nilforoshan won the Snap Research Scholarship!!
Mining Precision Interfaces from Query Logs is our work on scalably generating analysis interfaces.
BoostClean continues our work towards automated human-in-the-loop data cleaning for data science!
Webpage to track Mortal Kombat ninjas that we have declared flawless victory over. ActiveClean was covered by
The Morning Paper! Visited and spoke at DB groups at Wisconsin-Madison, University of Chicago, and UIUC. Slides:
1 per page, and 6 per page. Check out our DSIA paper
Load-n-go, InfoVIS poster on entropy measure for visualization, and DECISIVE paper on bayesian models of cognition for interactive visualization. Check out our two 2017 HILDA papers!
PALM: Machine Learning Explanations For Iterative Debugging and Precision Interfaces! A
nice article about our HILDA and SIGMOD papers. See you in Chicago! Hamed’s paper on
Segment-Predict-Explain for Automatic Writing Feedback was accepted to Collective Intelligence! Stay tuned for the full paper! Our
CIDR paper on Combining Design and Performance in a Data Visualization Management System was accepted! Our
QueryFix full paper was acceped to SIGMOD 2017! Come see our presentation in Raleigh, NC! There is a nice article about ActiveClean on the DSI website:
A Data-Cleaning Tool for Building Better Prediction Models Our
NSF proposal with jmh and jheer on bringing declarative database ideas to interactive visualizations was funded! The DVMS train continues to roll. Our
ActiveClean submission won Best Demo at SIGMOD 2016! Many thanks to our collaborators Sanjay, Jiannan, Mike, and Ken! A super simple, end-to-end implementation of ActiveClean is available
at this dropbox folder Our ActiveClean full paper was acceped to
VLDB 2016! Come see our presentation in Dehli, India. Look forward to our code release later this summer! Our first
(Data+Media):Humans in the Loop speaker series event is Sep 28, 7-9PM! Everyone welcome.
Talk about what provenance is and how it relates to our projects. MIT BigData Workshop 2016 Congrats to Niranjan, Arnab, Yifan, Daniel Haas, Sanjay, and Daniel Alabi for getting
four papers accepted at SIGMOD’s Hilda workshop! QueryFix explanation demo with Xiaolan and Alexandra accepted to SIGMOD 2016!
CLAMShell paper with Daniel Haas for
drastically speeding up crowds accepted to VLDB 2016!