Visual analytics support for collecting and correlating evidence for intelligence analysis. - Siming Chen 001; Chenglong Wang; Zipeng Liu; Zhenhuang Wang; Zuchao Wang; Zhengjie Miao; Xiaoru Yuan (IEEE VAST, 2014)

MovementFinder: A multi-filter visual analytics design for movement data investigation. - Siming Chen 001; Zuchao Wang; Zipeng Liu; Zhenhuang Wang; Chenglong Wang; Zhengjie Miao; Xiaoru Yuan (IEEE VAST, 2014)

A platform for collaborative visual analysis on streaming messages. - Zipeng Liu; Zhenhuang Wang; Siming Chen 001; Zuchao Wang; Zhengjie Miao; Xiaoru Yuan (IEEE VAST, 2014)

Story explorer: A visual analysis tool for heterogeneous text data. - Chenglong Wang; Zhengjie Miao; Siming Chen 001; Zipeng Liu; Zuchao Wang; Zhenhuang Wang; Xiaoru Yuan (IEEE VAST, 2014)

Combining Design and Performance in a Data Visualization Management System. - Eugene Wu 002; Fotis Psallidas; Zhengjie Miao; Haoci Zhang; Laura Rettig (CIDR, 2017)

Explaining Wrong Queries Using Small Examples. - Zhengjie Miao; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference, 2019)

RATest: Explaining Wrong Relational Queries Using Small Examples. - Zhengjie Miao; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference, 2019)

Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances. - Zhengjie Miao; Qitian Zeng; Boris Glavic; Sudeepa Roy 001 (SIGMOD Conference, 2019)

LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers. - Zhengjie Miao; Andrew Lee; Sudeepa Roy 001 (Proc. VLDB Endow., 2019)

CAPE: Explaining Outliers by Counterbalancing. - Zhengjie Miao; Qitian Zeng; Chenjie Li; Boris Glavic; Oliver Kennedy; Sudeepa Roy 001 (Proc. VLDB Endow., 2019)

Snippext: Semi-supervised Opinion Mining with Augmented Data. - Zhengjie Miao; Yuliang Li 001; Xiaolan Wang 001; Wang-Chiew Tan (WWW, 2020)

I-Rex: An Interactive Relational Query Explainer for SQL. - Zhengjie Miao; Tiangang Chen; Alexander Bendeck; Kevin Day; Sudeepa Roy 001; Jun Yang 001 (Proc. VLDB Endow., 2020)

Putting Things into Context: Rich Explanations for Query Answers using Join Graphs. - Chenjie Li; Zhengjie Miao; Qitian Zeng; Boris Glavic; Sudeepa Roy 001 (SIGMOD Conference, 2021)

Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond. - Zhengjie Miao; Yuliang Li 001; Xiaolan Wang 001 (SIGMOD Conference, 2021)

Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version). - Chenjie Li; Zhengjie Miao; Qitian Zeng; Boris Glavic; Sudeepa Roy 001 (CoRR, 2021)

Data Augmentation for ML-driven Data Preparation and Integration. - Yuliang Li 001; Xiaolan Wang 001; Zhengjie Miao; Wang-Chiew Tan (Proc. VLDB Endow., 2021)

I-Rex: An Interactive Relational Query Debugger for SQL. - Yihao Hu 001; Zhengjie Miao; Zhiming Leong; Haechan Lim; Zachary Zheng; Sudeepa Roy 001; Kristin Stephens-Martinez; Jun Yang 001 (SIGCSE (2), 2022)

Understanding Queries by Conditional Instances. - Amir Gilad; Zhengjie Miao; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference, 2022)

CaJaDE: Explaining Query Results by Augmenting Provenance with Context. - Chenjie Li; Juseung Lee 002; Zhengjie Miao; Boris Glavic; Sudeepa Roy 001 (Proc. VLDB Endow., 2022)

Simplifying Human-in-the-loop Data Science Pipeline: Explanations, Debugging, and Data Preparation. - Zhengjie Miao (2022)

Characterizing and Verifying Queries Via CINSGEN. - Hanze Meng; Zhengjie Miao; Amir Gilad; Sudeepa Roy 001; Jun Yang 001 (SIGMOD Conference Companion, 2023)

Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation. - Zhengjie Miao; Jin Wang 007 (Proc. ACM Manag. Data, 2023)

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels. - Xinru Wang; Hannah Kim 001; Sajjadur Rahman; Kushan Mitra; Zhengjie Miao (CHI, 2024)

What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract. - Jun Yang 001; Amir Gilad; Yihao Hu 001; Hanze Meng; Zhengjie Miao; Sudeepa Roy 001; Kristin Stephens-Martinez (DataEd@SIGMOD, 2024)

Fairness-Aware Data Preparation for Entity Matching. - Nima Shahbazi; Jin Wang 007; Zhengjie Miao; Nikita Bhutani (ICDE, 2024)

How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk). - Sudeepa Roy 001; Amir Gilad; Yihao Hu 001; Hanze Meng; Zhengjie Miao; Kristin Stephens-Martinez; Jun Yang 001 (ICDT, 2024)

LineageX: A Column Lineage Extraction System for SQL. - Shi Heng Zhang; Zhengjie Miao; Jiannan Wang (ICDE, 2025)

Refining Labeling Functions with Limited Labeled Data. - Chenjie Li; Amir Gilad; Boris Glavic; Zhengjie Miao; Sudeepa Roy 001 (CoRR, 2025)