publications

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2024

  1. CHI
    Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels
    Xinru Wang, Hannah Kim, Sajjadur Rahman, Kushan Mitra, and Zhengjie Miao
    In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (to appear), 2024

2023

  1. SIGMOD
    Watchog: A Light-Weight Contrastive Learning Based Framework for Column Annotation
    Zhengjie Miao, and Jin Wang
    Proc. ACM Manag. Data, Dec 2023
    PDF
  2. SIGMOD
    Characterizing and Verifying Queries Via CINSGEN
    Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, and Jun Yang
    In ACM SIGMOD International Conference on Management of Data, Seattle, WA, USA, Jun 2023
    PDF

2022

  1. 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
    PDF
  2. SIGCSE
    I-Rex: An Interactive Relational Query Debugger for SQL
    Yihao Hu, Zhengjie Miao, Zhiming Leong, Haechan Lim, Zachary Zheng, Sudeepa Roy, Kristin Stephens-Martinez, and Jun Yang
    In The 53rd ACM Technical Symposium on Computer Science Education (SIGCSE), Providence, RI, USA, Jan 2022
  3. VLDB
    CaJaDE: Explaining Query Results by Augmenting Provenance with Context
    Chenjie Li, Juseung Lee, Zhengjie Miao, Boris Glavic, and Sudeepa Roy
    Proc. VLDB Endow., Aug 2022
    PDF

2021

  1. 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
    PDF
  2. SIGMOD
    Putting Things into Context: Rich Explanations for Query Answers using Join Graphs
    Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, and Sudeepa Roy
    In ACM SIGMOD International Conference on Management of Data, Virtual Event, China, Jun 2021
    PDF
  3. Data Augmentation for ML-driven Data Preparation and Integration
    Yuliang Li, Xiaolan Wang, Zhengjie Miao, and Wang-Chiew Tan
    Proc. VLDB Endow., Aug 2021
    PDF

2020

  1. WWW
    Snippext: Semi-supervised Opinion Mining with Augmented Data
    Zhengjie Miao, Yuliang Li, Xiaolan Wang, and Wang-Chiew Tan
    In WWW, Apr 2020
    PDF
  2. VLDB
    I-Rex: An Interactive Relational Query Explainer for SQL
    Zhengjie Miao, Tiangang Chen, Alexander Bendeck, Kevin Day, Sudeepa Roy, and Jun Yang
    Proc. VLDB Endow., Aug 2020
    PDF

2019

  1. 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
    PDF
  2. SIGMOD
    RATest: Explaining Wrong Relational 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
    PDF
  3. SIGMOD
    Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances
    Zhengjie Miao*, Qitian Zeng*, Boris Glavic, and Sudeepa Roy
    In ACM SIGMOD International Conference on Management of Data, Amsterdam, The Netherlands, Jun 2019
    PDF
  4. VLDB
    CAPE: Explaining Outliers by Counterbalancing
    Zhengjie Miao*, Qitian Zeng*, Chenjie Li, Boris Glavic, Oliver Kennedy, and Sudeepa Roy
    Proc. VLDB Endow., Aug 2019
    PDF
  5. VLDB
    LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers
    Zhengjie Miao, Andrew Lee, and Sudeepa Roy
    Proc. VLDB Endow., Aug 2019
    PDF

2017

  1. CIDR
    Combining Design and Performance in a Data Visualization Management System
    Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, and Laura Rettig
    In 8th Biennial Conference on Innovative Data Systems Research, CIDR 2017, Chaminade, CA, USA, Jan 2017
    PDF