Zhengjie Miao

DB research@Simon Fraser UniversityHow to pronounce my first name?

  
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Office: TASC 1 9407

Email: {fname}@sfu.ca

I am an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU). My research interest broadly lies in data management and artificial intelligence, with a focus on developing algorithms and tools that enhance the usability and efficiency of data science pipelines. I am part of the SFU Data Science Research Group.

Before joining SFU, I spent one year as a Research Scientist at Megagon Labs. I finished my Ph.D. in Computer Science from Duke University, where I was fortunate to work with Prof. Sudeepa Roy and Prof. Jun Yang. I received M.S. from Columbia University under the advisory of Prof. Eugene Wu and my B.S. from Peking University.

news

Jan, 2024 One paper on Human-LLM collaborative data annotation accepted to CHI 2024! Congrats all collaborators!
Oct, 2023 Started my journey at SFU!

selected publications

  1. SIGMOD
    Watchog: A Light-Weight Contrastive Learning Based Framework for Column Annotation
    Zhengjie Miao, and Jin Wang
    Proc. ACM Manag. Data, Dec 2023
  2. SIGMOD
    Understanding Queries by Conditional Instances
    Amir Gilad*, Zhengjie Miao*, Sudeepa Roy, and Jun Yang
    In ACM SIGMOD International Conference on Management of Data, Philadelphia, PA, USA, Jun 2022
  3. SIGMOD
    Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond
    Zhengjie Miao, Yuliang Li, and Xiaolan Wang
    In ACM SIGMOD International Conference on Management of Data, Virtual Event, China, Jun 2021
  4. SIGMOD
    Explaining Wrong Queries Using Small Examples
    Zhengjie Miao, Sudeepa Roy, and Jun Yang
    In ACM SIGMOD International Conference on Management of Data, Amsterdam, The Netherlands, Jun 2019