Bio

I am a PhD student in Database Research Group @ University of Michigan EECS. 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. 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 engineering university in China.

Publications
  1. Beaver: Towards a Declarative Schema Mapping
    Zhongjun Jin, Christopher Baik, Michael Cafarella, H. V. Jagadish
    HILDA @ SIGMOD '18
    [pdf] [slides]
  2. Foofah: Transforming Data By Example
    Zhongjun Jin, Michael R. Anderson, Michael Cafarella, H. V. Jagadish
    SIGMOD '17
    [pdf] [poster] [slides] [code] [ReproZip] (Readme) [data] [press]
  3. Foofah: A Programming-By-Example System for Synthesizing Data Transformation Programs
    Zhongjun Jin, Michael R. Anderson, Michael Cafarella, H. V. Jagadish
    SIGMOD '17 Demo(selected as "Best of" Demos)
    [pdf] [video]
  4. Privacy Preserving Access Control in Service-Oriented Architecture
    Rohit Ranchal, Bharat Bhargava, Ruchith Fernando, Hui Lei, Zhongjun Jin
    ICWS 16'
  5. A Self-Cloning Agents Based Model for High-Performance Mobile-Cloud Computing
    Pelin Angin, Bharat Bhargava, Zhongjun Jin
    CLOUD 15'

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