| 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 | 40 | 2020 |
| 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 | 31 | 2017 |
| 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 | 12 | 2019 |
| 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 | 10 | 2019 |
| 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 | 9 | 2019 |
| 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 | 8 | 2020 |
| 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 | 5 | 2021 |
| 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 | 5 | 2014 |
| 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 | 3 | 2019 |
| 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 | 2 | 2021 |
| 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 | 2 | 2014 |
| 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 | 1 | 2019 |
| Story explorer: A visual analysis tool for heterogeneous text data C Wang, Z Miao, S Chen, Z Liu, Z Wang, Z Wang, X Yuan 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 335-336, 2014 | 1 | 2014 |
| 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 | 1 | 2014 |
| 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 | | 2022 |
| Understanding Queries by Conditional Instances A Gilad, Z Miao, S Roy, J Yang arXiv preprint arXiv:2202.11160, 2022 | | 2022 |
| 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 | | 2021 |
| 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 | | 2021 |
Sudeepa RoyDuke University, Computer ScienceVerified email at cs.duke.edu
