11/23/2019 - Apparently I am in the SoCC's top 10 most proficient authors.
11/20/2019 - I will be presenting Humminbgbird @ the TVM conference.
10/14/2019 - Two of our papers got accepted @ CIDR.
10/12/2019 - Our paper Compiling Classical ML Pipelines into Tensor Computations for One-size-fits-all Prediction Serving
got accepted @ Systems for ML workshop at NeurIPS 2019.
09/02/2019 - Our paper Acorn: Aggressive Result Caching in Distributed Data Processing Frameworks
is accepted @ SoCC 2019.
08/10/2019 - Our demo Understanding Data in the Blink of an Eye
is accepted @ CIKM 2019.
04/29/2019 - Our full paper on ML.NET is accepted as poster presentation @ KDD.
03/31/2019 - Our coded elastic computing paper is accepted @ ISIT.
03/15/2019 - I will present a demo on ML.NET at SysML this spring.
12/28/2018 - Our paper on model serving with ML.NET is in the December issue of IEEE Data Engineering Bulletin
11/14/2018 - Four of our papers got accepted at NIPS 2018 workshops
06/08/2018 - Our paper RIOS: Runtime Integrated Optimizer for Spark
is accepted @ SoCC 2018
01/08/2018 - Our paper PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
is accepted @ OSDI 2018
01/08/2018 - Two of our articles will appear in TPLP Special issue on Past and Present (and Future) of Parallel and Distributed Computation in LP
02/02/2018 - Our paper Supporting Data Provenance in Data-Intensive Scalable Computing Systems
will appear in the March issue of IEEE Data Engineering Bulletin
11/09/2017 - Our paper Towards High-Performance Prediction Serving Systems
is accepted @ NIPS ML Systems Workshop
07/18/2017 - Our paper Automated Debugging in Data-Intensive Scalable Computing
is accepted @ SoCC 2017
07/07/2017 - Our paper Fixpoint Semantics and Optimization of Recursive Datalog Programs with Aggregates
is accepted @ ICLP 2017
05/15/2017 - This June I will be joining the CISL group at Microsoft to work on new super exciting machine learning problems.
04/11/2017 - Our paper Adding Data Provenance Support to Apache Sparks
with Ari Ekmekji, Kshitij Shah, Muhammad Ali Gulzar, Sai Deep Tetali, Miryung Kim, Todd Millstein and Tyson Condie, is accepted for publication in The VLDB Journal Special Issue on (the Best Papers of) VLDB 2016
03/20/2017 - This June I will present two of our projects at the Spark Summit 2017
02/26/2017 - Our demo Debugging Big Data Analytics in Spark with BigDebug
with Muhammad Ali Gulzar, Tyson Condie, and Miryung Kim is accepted @ SIGMOD 2017
01/26/2017 - I have contributed to the paper Apache REEF: Retainable Evaluator Execution Framework
which will be published on TOCS
07/29/2016 - Two of our papers have been accepted @ SoCC 2016
10/07/2016 - Our demo BigDebug: Interactive Debugger for Big Data Analytics in Apache Spark
with Muhammad Ali Gulzar, Tyson Condie, and Miryung Kim is accepted @ FSE 2016
05/15/2016 - This summer I will give the talk Data Provenance Support in Spark
@ Big Data Day LA
04/12/2016 - Our paper Interactive Debugging for Big Data Analytics
with Muhammad Ali Gulzar, Xueyuan Han, Sai Deep Tetali, Shaghayegh Mardani, Tyson Condie, Todd Millstein, and Miryung Kim is accepted @ HotCloud 2016
04/11/2016 - Our paper The Magic of Pushing Extrema into Recursion: Simple and Powerful Datalog Programs
with Carlo Zaniolo, Mohan Yang, and Ariyam Das is accepted @ AMW 2016
04/04/2016 - Our paper Big Data Analytics with Datalog Queries on Spark
with Alexander Shkapsky, Mohan Yang, Hsuan Chiu, Tyson Condie, and Carlo Zaniolo is accepted @ SIGMOD 2016