News

03/2022: We are organizing the SIGMOD 2022 programming contest, on the topic of entity matching. Check it out!!
02/2022: Excited to share that Renzhi Wu received a 2022 Facebook (Meta) PhD Fellowship in database systems.
11/2021: Our work on learned cardinality estimator has been accepted to VLDB 2022
10/2021: Our work on learning with label noise has been accepted to ICDE 2022
09/2021: Our demo paper on weakly supervised entity matching has been accepted to VLDB 2021
02/21/2021: Our OmniFair on declarative fairness in ML has been accepted to SIGMOD 2021
12/24/2020: Our AutoFJ work on automatically discovering entity matching or fuzzy join rules with no labeled examples has been accepted to SIGMOD 2021
10/15/2020: Our CPClean on formalizing the impact of data errors on ML models has been accepted to VLDB 2021
10/02/2020: Our CleanML work on a systematic evaluation of the impact of data cleaning on ML has been accepted to ICDE 2021
04/05/2020: Our ZeroER work on performing entity resolution with zero labeled examples has been accepted to SIGMOD 2020
12/02/2019: Our GOGGLES work on training data labeling has been accepted to SIGMOD 2020
08/07/2019: Our team in collaboration with Alibaba won the third place in the KDD 2019 AutoML Challenge
08/01/2019: Our ACM book on data cleaning is up for sale on Amazon
02/01/19: We are excited to learn that we are granted the 2019 JP Morgan Faculty Research Awards!
07/31/18 – 08/02/18: Attending the Microsoft Research Faculty Summit 2018
07/23/18: Giving an invited lecture at the Data Science Workshop for IDEaS
05/17/18: Our paper on Transformation Data by Example is accepted by PVLDB
02/14/18: Finishing an invited book chapter “Data Cleaning” for the Encyclopedia of Big Data Technologies
01/01/18: Excited to join SCS at GaTech!