Zhengjie Miao

According to our database, Zhengjie Miao authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk).

Sudeepa Roy, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Kristin Stephens-Martinez, Jun Yang

Proceedings of the 27th International Conference on Database Theory, 2024

Fairness-Aware Data Preparation for Entity Matching.

Nima Shahbazi, Jin Wang, Zhengjie Miao, Nikita Bhutani

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract.

Jun Yang, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Sudeepa Roy, Kristin Stephens-Martinez

Proceedings of the 3rd International Workshop on Data Systems Education: Bridging education practice with education research, 2024

Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels.

Xinru Wang, Hannah Kim, Sajjadur Rahman, Kushan Mitra, Zhengjie Miao

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation.

Zhengjie Miao, Jin Wang

Proc. ACM Manag. Data, December, 2023

Characterizing and Verifying Queries Via CINSGEN.

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

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022

Simplifying Human-in-the-loop Data Science Pipeline: Explanations, Debugging, and Data Preparation.

Zhengjie Miao

PhD thesis, 2022

CaJaDE: Explaining Query Results by Augmenting Provenance with Context.

Chenjie Li, Juseung Lee, Zhengjie Miao, Boris Glavic, Sudeepa Roy

Proc. VLDB Endow., 2022

Understanding Queries by Conditional Instances.

Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

I-Rex: An Interactive Relational Query Debugger for SQL.

Yihao Hu, Zhengjie Miao, Zhiming Leong, Haechan Lim, Zachary Zheng, Sudeepa Roy, Kristin Stephens-Martinez, Jun Yang

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

2021

Data Augmentation for ML-driven Data Preparation and Integration.

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

Proc. VLDB Endow., 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

CoRR, 2021

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

Zhengjie Miao, Yuliang Li, Xiaolan Wang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Putting Things into Context: Rich Explanations for Query Answers using Join Graphs.

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

I-Rex: An Interactive Relational Query Explainer for SQL.

Zhengjie Miao, Tiangang Chen, Alexander Bendeck, Kevin Day, Sudeepa Roy, Jun Yang

Proc. VLDB Endow., 2020

Snippext: Semi-supervised Opinion Mining with Augmented Data.

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

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

CAPE: Explaining Outliers by Counterbalancing.

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

Proc. VLDB Endow., 2019

LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers.

Zhengjie Miao, Andrew Lee, Sudeepa Roy

Proc. VLDB Endow., 2019

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

Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy

Proceedings of the 2019 International Conference on Management of Data, 2019

RATest: Explaining Wrong Relational Queries Using Small Examples.

Zhengjie Miao, Sudeepa Roy, Jun Yang

Proceedings of the 2019 International Conference on Management of Data, 2019

Explaining Wrong Queries Using Small Examples.

Zhengjie Miao, Sudeepa Roy, Jun Yang

Proceedings of the 2019 International Conference on Management of Data, 2019

2017

Combining Design and Performance in a Data Visualization Management System.

Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, Laura Rettig

Proceedings of the 8th Biennial Conference on Innovative Data Systems Research, 2017

2014

Story explorer: A visual analysis tool for heterogeneous text data.

Chenglong Wang, Zhengjie Miao, Siming Chen, Zipeng Liu, Zuchao Wang, Zhenhuang Wang, Xiaoru Yuan

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

A platform for collaborative visual analysis on streaming messages.

Zipeng Liu, Zhenhuang Wang, Siming Chen, Zuchao Wang, Zhengjie Miao, Xiaoru Yuan

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

MovementFinder: A multi-filter visual analytics design for movement data investigation.

Siming Chen, Zuchao Wang, Zipeng Liu, Zhenhuang Wang, Chenglong Wang, Zhengjie Miao, Xiaoru Yuan

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Visual analytics support for collecting and correlating evidence for intelligence analysis.

Siming Chen, Chenglong Wang, Zipeng Liu, Zhenhuang Wang, Zuchao Wang, Zhengjie Miao, Xiaoru Yuan

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014