| 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 | 99 | 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 | 60 | 2021 |
| 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 | 41 | 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 | 38 | 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 | 38 | 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 | 25 | 2021 |
| 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 | 22 | 2021 |
| 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 | 18 | 2020 |
| 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 | 17 | 2019 |
| 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 | 10 | 2019 |
| 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 | 8 | 2022 |
| Human-LLM collaborative annotation through effective verification of LLM labels X Wang, H Kim, S Rahman, K Mitra, Z Miao Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-21, 2024 | 6 | 2024 |
| 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 | 6 | 2022 |
| 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 | 5 | 2022 |
| 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 |
| 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 | 4 | 2022 |
| 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 | 4 | 2021 |
| 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 | 4 | 2019 |
| Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation Z Miao, J Wang Proceedings of the ACM on Management of Data 1 (4), 1-24, 2023 | 2 | 2023 |
| 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 | 2 | 2023 |
Sudeepa RoyDuke University, Computer Science在 cs.duke.edu 的电子邮件经过验证
