Recent News

  • 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

Bio

"Mark" Zhongjun Jin is a PhD student in Database Research Group @ University of Michigan EECS. He is co-supervised by Prof. Mike Cafarella and Prof. H. V. Jagadish (jag). His interest lies in data preparation and data integration. He interned in Trifacta in summer 2017 working on format standardization. He received B.S. degrees in computer science and mathematics from Purdue University. Prior to that, he studied ECE for two years in Tianjin University in China.

Publication

  1. New! Foofah: Transforming Data By Example, SIGMOD 17', [pdf][slides][code]
    Zhongjun Jin, Michael R. Anderson, Michael Cafarella, H. V. Jagadish
  2. New! Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs, SIGMOD Demo 17', [pdf][video]
    Zhongjun Jin, Michael R. Anderson, Michael Cafarella, H. V. Jagadish
  3. Privacy Preserving Access Control in Service-Oriented Architecture, ICWS 16',
    Rohit Ranchal, Bharat Bhargava, Ruchith Fernando, Hui Lei, Zhongjun Jin
  4. A Self-Cloning Agents Based Model for High-Performance Mobile-Cloud Computing, CLOUD 15',
    Pelin Angin, Bharat Bhargava, Zhongjun Jin