Publications

Characterizing and Verifying Queries Via CInsGen

Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang

Understanding Queries by Conditional Instances

Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang

Data Augmentation for ML-driven Data Preparation and Integration

Yuliang Li, Xiaolan Wang, Zhengjie Miao, Wang-Chiew Tan

Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond

Zhengjie Miao, Yuliang Li, Xiaolan Wang

Putting Things into Context: Rich Explanations for QueryAnswers using Join Graphs

Chenjie Li, Zhengjie Miao, Qitian Zeng*, Boris Glavic, Sudeepa Roy

Snippext: Semi-supervised Opinion Mining with Augmented Data

Zhengjie Miao, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan

LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answer

Zhengjie Miao, Andrew Lee, Sudeepa Roy

CAPE: Explaining Outliers by Counterbalancing

Zhengjie Miao, Qitian Zeng*, Chenjie Li, Boris Glavic, Oliver Kennedy, Sudeepa Roy

RATest: Explaining Wrong Relational Queries Using Small Examples

Zhengjie Miao, Sudeepa Roy, Jun Yang

Explaining Wrong Queries Using Small Examples

Zhengjie Miao, Sudeepa Roy, Jun Yang

Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances

Zhengjie Miao, Qitian Zeng*, Boris Glavic, Sudeepa Roy

Combining Design and Performance in a Data Visualization Management System

Interactive data visualizations have emerged as a prominent way to bring data exploration and analysis capabilities to both technical …

Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, Laura Rettig, Yifan Wu, Thibault Sellam