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2020 – today
- 2024
[c18]Xinru Wang
, Hannah Kim, Sajjadur Rahman, Kushan Mitra, Zhengjie Miao:
Human-LLM Collaborative Annotation Through Effective Verification of LLM Labels. CHI 2024: 303:1-303:21- [c17]Jun Yang, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Sudeepa Roy, Kristin Stephens-Martinez:
What Teaching Databases Taught Us about Researching Databases: Extended Talk Abstract. DataEd@SIGMOD 2024 - [c16]Nima Shahbazi, Jin Wang, Zhengjie Miao, Nikita Bhutani:
Fairness-Aware Data Preparation for Entity Matching. ICDE 2024: 3476-3489 - [c15]Sudeepa Roy, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Kristin Stephens-Martinez, Jun Yang:
How Database Theory Helps Teach Relational Queries in Database Education (Invited Talk). ICDT 2024: 2:1-2:9 - 2023
- [j6]Zhengjie Miao, Jin Wang:
Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation. Proc. ACM Manag. Data 1(4): 272:1-272:24 (2023) - [c14]Hanze Meng, Zhengjie Miao, Amir Gilad, Sudeepa Roy, Jun Yang:
Characterizing and Verifying Queries Via CINSGEN. SIGMOD Conference Companion 2023: 143-146 - 2022
- [b1]Zhengjie Miao:
Simplifying Human-in-the-loop Data Science Pipeline: Explanations, Debugging, and Data Preparation. Duke University, Durham, NC, USA, 2022 - [j5]Chenjie Li, Juseung Lee, Zhengjie Miao, Boris Glavic, Sudeepa Roy:
CaJaDE: Explaining Query Results by Augmenting Provenance with Context. Proc. VLDB Endow. 15(12): 3594-3597 (2022) - [c13]Yihao Hu, Zhengjie Miao, Zhiming Leong, Haechan Lim, Zachary Zheng, Sudeepa Roy, Kristin Stephens-Martinez, Jun Yang:
I-Rex: An Interactive Relational Query Debugger for SQL. SIGCSE (2) 2022: 1180 - [c12]Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang:
Understanding Queries by Conditional Instances. SIGMOD Conference 2022: 355-368 - [i4]Amir Gilad, Zhengjie Miao, Sudeepa Roy, Jun Yang:
Understanding Queries by Conditional Instances. CoRR abs/2202.11160 (2022) - 2021
- [j4]Yuliang Li, Xiaolan Wang, Zhengjie Miao, Wang-Chiew Tan:
Data Augmentation for ML-driven Data Preparation and Integration. Proc. VLDB Endow. 14(12): 3182-3185 (2021) - [c11]Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy:
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs. SIGMOD Conference 2021: 1051-1063 - [c10]Zhengjie Miao, Yuliang Li, Xiaolan Wang:
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond. SIGMOD Conference 2021: 1303-1316 - [i3]Chenjie Li, Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy:
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version). CoRR abs/2103.15797 (2021) - 2020
- [j3]Zhengjie Miao, Tiangang Chen, Alexander Bendeck, Kevin Day, Sudeepa Roy, Jun Yang:
I-Rex: An Interactive Relational Query Explainer for SQL. Proc. VLDB Endow. 13(12): 2997-3000 (2020) - [c9]Zhengjie Miao, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan:
Snippext: Semi-supervised Opinion Mining with Augmented Data. WWW 2020: 617-628 - [i2]Zhengjie Miao, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan:
Snippext: Semi-supervised Opinion Mining with Augmented Data. CoRR abs/2002.03049 (2020)
2010 – 2019
- 2019
- [j2]Zhengjie Miao, Qitian Zeng, Chenjie Li, Boris Glavic, Oliver Kennedy, Sudeepa Roy:
CAPE: Explaining Outliers by Counterbalancing. Proc. VLDB Endow. 12(12): 1806-1809 (2019) - [j1]Zhengjie Miao, Andrew Lee, Sudeepa Roy:
LensXPlain: Visualizing and Explaining Contributing Subsets for Aggregate Query Answers. Proc. VLDB Endow. 12(12): 1898-1901 (2019) - [c8]Zhengjie Miao, Qitian Zeng, Boris Glavic, Sudeepa Roy:
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances. SIGMOD Conference 2019: 485-502 - [c7]Zhengjie Miao, Sudeepa Roy, Jun Yang:
Explaining Wrong Queries Using Small Examples. SIGMOD Conference 2019: 503-520 - [c6]Zhengjie Miao, Sudeepa Roy, Jun Yang:
RATest: Explaining Wrong Relational Queries Using Small Examples. SIGMOD Conference 2019: 1961-1964 - [i1]Zhengjie Miao, Sudeepa Roy, Jun Yang:
Explaining Wrong Queries Using Small Examples. CoRR abs/1904.04467 (2019) - 2017
- [c5]Eugene Wu, Fotis Psallidas, Zhengjie Miao, Haoci Zhang, Laura Rettig:
Combining Design and Performance in a Data Visualization Management System. CIDR 2017 - 2014
- [c4]Siming Chen, Chenglong Wang, Zipeng Liu, Zhenhuang Wang, Zuchao Wang, Zhengjie Miao, Xiaoru Yuan:
Visual analytics support for collecting and correlating evidence for intelligence analysis. IEEE VAST 2014: 319-320 - [c3]Chenglong Wang, Zhengjie Miao, Siming Chen, Zipeng Liu, Zuchao Wang, Zhenhuang Wang, Xiaoru Yuan:
Story explorer: A visual analysis tool for heterogeneous text data. IEEE VAST 2014: 335-336 - [c2]Siming Chen, Zuchao Wang, Zipeng Liu, Zhenhuang Wang, Chenglong Wang, Zhengjie Miao, Xiaoru Yuan:
MovementFinder: A multi-filter visual analytics design for movement data investigation. IEEE VAST 2014: 345-346 - [c1]Zipeng Liu, Zhenhuang Wang, Siming Chen, Zuchao Wang, Zhengjie Miao, Xiaoru Yuan:
A platform for collaborative visual analysis on streaming messages. IEEE VAST 2014: 375-376
Coauthor Index
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