publications

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2026

  1. VLDB
    Benchmarking the Full Pipeline of Materialized-View-Based Query Rewriting
    Xinjie Hu, and Zhengjie Miao
    Proceedings of the VLDB Endowment, 19(11), 2026
    arXiv PDF
  2. VLDB
    ParSEval: Interactive Counterexample-driven Evaluation for Text-to-SQL
    Chunyu Chen, Zhengjie Miao, Yong Zhang, and Jiannan Wang
    Proceedings of the VLDB Endowment (Demonstration), 19(12), 2026
    PDF
  3. arXiv
    SPA: A SQL-Plan-Aware Reinforcement Learning Framework for Query Rewriting with LLMs
    Xinyi Huang, and Zhengjie Miao
    arXiv preprint, 2026
    arXiv
  4. arXiv
    The Case for Text-to-SQL Friendly Logical Database Design
    Shi Heng Zhang, Zhengjie Miao, and Jiannan Wang
    arXiv preprint, 2026
    arXiv

2025

  1. VLDB
    ParSEval: Plan-aware Test Database Generation for SQL Equivalence Evaluation
    Chunyu Chen, Zhengjie Miao, Yong Zhang, and Jiannan Wang
    Proceedings of the VLDB Endowment, 18(11), 2025
    PDF
  2. ICDE
    LineageX: A Column Lineage Extraction System for SQL
    Shi Heng Zhang, Zhengjie Miao, and Jiannan Wang
    In IEEE International Conference on Data Engineering (Demonstration), 2025
    HTML
  3. VLDB-W
    CleanAgent: Automating Data Standardization with LLM-based Agents
    Danrui Qi, Zhengjie Miao, and Jiannan Wang
    In VLDB 2025 Workshop: Data-Driven AI, 2025
    HTML
  4. KDD
    Refining Labeling Functions With Limited Labeled Data
    Chenjie Li, Amir Gilad, Boris Glavic, Zhengjie Miao, and Sudeepa Roy
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025
    HTML

2024

  1. ICDE
    Fairness-Aware Data Preparation for Entity Matching
    Nima Shahbazi, Jin Wang, Zhengjie Miao, and Nikita Bhutani
    In IEEE International Conference on Data Engineering, 2024
    HTML
  2. CHI
    Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels
    Xinru Wang, Hannah Kim, Sajjadur Rahman, Kushan Mitra, and Zhengjie Miao
    In ACM CHI Conference on Human Factors in Computing Systems, 2024
    HTML PDF

2023

  1. SIGMOD
    Watchog: A Light-Weight Contrastive Learning Based Framework for Column Annotation
    Zhengjie Miao, and Jin Wang
    Proceedings of the ACM on Management of Data, 1(4), 2023 (presented at SIGMOD 2024)
    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 (Demonstration), 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, 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 ACM Technical Symposium on Computer Science Education, 2022
    HTML
  3. VLDB
    CaJaDE: Explaining Query Results by Augmenting Provenance with Context
    Chenjie Li, Juseung Lee, Zhengjie Miao, Boris Glavic, and Sudeepa Roy
    Proceedings of the VLDB Endowment (Demonstration), 15(12), 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, 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, 2021
    PDF
  3. VLDB
    Data Augmentation for ML-driven Data Preparation and Integration
    Yuliang Li, Xiaolan Wang, Zhengjie Miao, and Wang-Chiew Tan
    Proceedings of the VLDB Endowment (Tutorial), 14(12), 2021
    PDF

2020

  1. WWW
    Snippext: Semi-supervised Opinion Mining with Augmented Data
    Zhengjie Miao, Yuliang Li, Xiaolan Wang, and Wang-Chiew Tan
    In The Web Conference, 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
    Proceedings of the VLDB Endowment (Demonstration), 13(12), 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, 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 (Demonstration), 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, 2019
    PDF
  4. VLDB
    CAPE: Explaining Outliers by Counterbalancing
    Zhengjie Miao*, Qitian Zeng*, Chenjie Li, Boris Glavic, Oliver Kennedy, and Sudeepa Roy
    Proceedings of the VLDB Endowment (Demonstration), 12(12), 2019
    PDF
  5. VLDB
    LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers
    Zhengjie Miao, Andrew Lee, and Sudeepa Roy
    Proceedings of the VLDB Endowment (Demonstration), 12(12), 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 Conference on Innovative Data Systems Research, 2017
    PDF