Zhongjun Jin
PhD candidate @ Michigan CSE
(中文)

I am a PhD student in Database Research Group @ University of Michigan CSE. I am co-advised 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.

1. Assessing and Remedying Coverage for a Given Dataset
   Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish
   ICDE 2019
   [pdf]
2. 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]
3. Demonstration of a Multiresolution Schema Mapping System
   Zhongjun Jin, Christopher Baik, Michael Cafarella, H. V. Jagadish, Yuze Lou
   CIDR 2019
   [pdf]
4. Beaver: Towards a Declarative Schema Mapping
   Zhongjun Jin, Christopher Baik, Michael Cafarella, H. V. Jagadish
   HILDA @ SIGMOD 2018
   [pdf] [slides]
5. 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]
6. 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]
7. Privacy Preserving Access Control in Service-Oriented Architecture
   Rohit Ranchal, Bharat Bhargava, Ruchith Fernando, Hui Lei, Zhongjun Jin
   ICWS 2016
8. A Self-Cloning Agents Based Model for High-Performance Mobile-Cloud Computing
   Pelin Angin, Bharat Bhargava, Zhongjun Jin
   CLOUD 2015

• 02/2019 - Our long paper "Assessing and Remedying Coverage for a Given Dataset" was accepted in ICDE 2019!
• 02/2019 - Started internship @ Microsoft Research mentored by Yeye He.
• 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