About Me
I am a PhD student in Database Research Group @ University of Michigan CSE. I am co-supervised by Prof. Mike Cafarella and Prof. H. V. Jagadish (jag). My research interest lies in improving self-service data preparation using a combination of AI, HCI and PL techniques. I interned in Trifacta in summer 2017 working on data pattern normalization mentored by Sean Kandel, Mike Minar, and Prof. Joe Hellerstein. The work was integrated into Trifacta Cloud Wrangler launched in 08/2018. I received B.S. degrees in computer science and mathematics from Purdue University. Before transfering to Purdue, I studied EE for two years in Tianjin University, a top university in engineering in China. Please check my CV for more details.
Publications
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CLX: Towards verifiable PBE data transformation
Zhongjun Jin, Michael Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar, Joseph M. Hellerstein
EDBT 2019
[pdf] [commercial release 1, 2] -
Demonstration of a Schema Mapping System Using Multiresolution Constraints
Zhongjun Jin, Christopher Baik, Michael Cafarella, H. V. Jagadish, Yuze Lou
CIDR 2019
[pdf] -
Beaver: Towards a Declarative Schema Mapping
Zhongjun Jin, Christopher Baik, Michael Cafarella, H. V. Jagadish
HILDA @ SIGMOD 2018
[pdf] [slides] -
Foofah: Transforming Data By Example
Zhongjun Jin, Michael R. Anderson, Michael Cafarella, H. V. Jagadish
SIGMOD 2017
[pdf] [poster] [slides] [code] [ReproZip] (Readme) [data] [press] -
Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs
Zhongjun Jin, Michael R. Anderson, Michael Cafarella, H. V. Jagadish
SIGMOD 2017 Demo(selected as "Best of" Demos)
[pdf] [video] - Privacy Preserving Access Control in Service-Oriented Architecture
Rohit Ranchal, Bharat Bhargava, Ruchith Fernando, Hui Lei, Zhongjun Jin
ICWS 2016 - A Self-Cloning Agents Based Model for High-Performance Mobile-Cloud Computing
Pelin Angin, Bharat Bhargava, Zhongjun Jin
CLOUD 2015
Recent News
- 11/2018 - Our long paper "CLX: Towards verifiable PBE data transformation" was accepted in EDBT 2019
- 11/2018 - Talk at Llamasoft about self-service data preparation.
- 10/2018 - Our demo paper "Demonstration of a Schema Mapping System Using Multiresolution Constraints" was accepted in CIDR 2019
- 08/2018 - My internship work at Trifacta in Summer 2017 was integrated into Trifacta Cloud Wrangler recently launched.
- 07/2018 - EECS News wrote an article "Tool for structuring data creates efficiency for data scientists" for our Foofah project
- 06/2018 - Talk at HILDA, SIGMOD 2018 about Beaver Schema Mapping System
- 04/2018 - Our short paper "Beaver: Towards a Declarative Schema Mapping" was accepted in HILDA workshop @ SIGMOD 2018
- 11/2017 - Our Foofah presentation won 1st Prize at "Systems, Software Engineering and Computer Science" session in Engineering Graduate Symposium 2017
- 08/2017 - Foofah is reproducible using ReproZip (rpz, readme)
- 07/2017 - Attended WrangleConf in SF
- 06/2017 - Foofah is open-sourced on Github!
- 05/2017 - Talk in SIGMOD 2017
- 05/2017 - Started summer internship in Trifacta.
- 03/2017 - Our foofah full paper got accepted in SIGMOD 2017
- 02/2017 - Our foofah demo paper got accepted in SIGMOD 2017