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Zhengjie Miao
Zhengjie Miao
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Snippext: Semi-supervised opinion mining with augmented data
Z Miao, Y Li, X Wang, WC Tan
Proceedings of The Web Conference 2020, 617-628, 2020
872020
Rotom: A meta-learned data augmentation framework for entity matching, data cleaning, text classification, and beyond
Z Miao, Y Li, X Wang
Proceedings of the 2021 International Conference on Management of Data, 1303 …, 2021
472021
Combining Design and Performance in a Data Visualization Management System.
E Wu, F Psallidas, Z Miao, H Zhang, L Rettig, Y Wu, T Sellam
CIDR, 2017
402017
Going beyond provenance: Explaining query answers with pattern-based counterbalances
Z Miao, Q Zeng, B Glavic, S Roy
Proceedings of the 2019 International Conference on Management of Data, 485-502, 2019
332019
Explaining wrong queries using small examples
Z Miao, S Roy, J Yang
Proceedings of the 2019 International Conference on Management of Data, 503-520, 2019
302019
Data augmentation for ml-driven data preparation and integration
Y Li, X Wang, Z Miao, WC Tan
Proceedings of the VLDB Endowment 14 (12), 3182-3185, 2021
192021
Putting things into context: Rich explanations for query answers using join graphs
C Li, Z Miao, Q Zeng, B Glavic, S Roy
Proceedings of the 2021 International Conference on Management of Data, 1051 …, 2021
162021
I-Rex: an interactive relational query explainer for SQL
Z Miao, T Chen, lexander Bendeck, K Day, S Roy, J Yang
Proceedings of the VLDB Endowment 13 (12), 2997-3000, 2020
152020
CAPE: explaining outliers by counterbalancing
Z Miao, Q Zeng, C Li, B Glavic, O Kennedy, S Roy
Proceedings of the VLDB Endowment 12 (12), 1806-1809, 2019
152019
LensXPlain: Visualizing and explaining contributing subsets for aggregate query answers
Z Miao, A Lee, S Roy
Proceedings of the VLDB Endowment 12 (12), 1898-1901, 2019
92019
Cajade: Explaining query results by augmenting provenance with context
C Li, J Lee, Z Miao, B Glavic, S Roy
Proceedings of the VLDB Endowment 15 (12), 3594-3597, 2022
52022
Understanding queries by conditional instances
A Gilad, Z Miao, S Roy, J Yang
Proceedings of the 2022 International Conference on Management of Data, 355-368, 2022
52022
A platform for collaborative visual analysis on streaming messages
Z Liu, Z Wang, S Chen, Z Wang, Z Miao, X Yuan
2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 375-376, 2014
52014
Systems and methods for semi-supervised extraction of text classification information
Z Miao, Y Li, X Wang, WC Tan
US Patent App. 17/151,088, 2022
42022
I-Rex: An interactive relational query debugger for SQL
Y Hu, Z Miao, Z Leong, H Lim, Z Zheng, S Roy, K Stephens-Martinez, ...
Proceedings of the 53rd ACM Technical Symposium on Computer Science …, 2022
42022
Putting things into context: Rich explanations for query answers using join graphs (extended version)
C Li, Z Miao, Q Zeng, B Glavic, S Roy
arXiv preprint arXiv:2103.15797, 2021
42021
Ratest: Explaining wrong relational queries using small examples
Z Miao, S Roy, J Yang
Proceedings of the 2019 International Conference on Management of Data, 1961 …, 2019
42019
Visual analytics support for collecting and correlating evidence for intelligence analysis
S Chen, C Wang, Z Liu, Z Wang, Z Wang, Z Miao, X Yuan
2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 319-320, 2014
22014
MovementFinder: A multi-filter visual analytics design for movement data investigation
S Chen, Z Wang, Z Liu, Z Wang, C Wang, Z Miao, X Yuan
2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 345-346, 2014
22014
Characterizing and Verifying Queries Via CINSGEN
H Meng, Z Miao, A Gilad, S Roy, J Yang
Companion of the 2023 International Conference on Management of Data, 143-146, 2023
12023
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