Deepeye: Towards automatic data visualization Y Luo, X Qin, N Tang, G Li 2018 IEEE 34th international conference on data engineering (ICDE), 101-112, 2018 | 226 | 2018 |
Making data visualization more efficient and effective: a survey X Qin, Y Luo, N Tang, G Li The VLDB Journal 29 (1), 93-117, 2020 | 196 | 2020 |
Towards natural language interfaces for data visualization: A survey L Shen, E Shen, Y Luo, X Yang, X Hu, X Zhang, Z Tai, J Wang IEEE transactions on visualization and computer graphics 29 (6), 3121-3144, 2022 | 96 | 2022 |
Natural language to visualization by neural machine translation Y Luo, N Tang, G Li, J Tang, C Chai, X Qin IEEE Transactions on Visualization and Computer Graphics 28 (1), 217-226, 2021 | 79 | 2021 |
Deepeye: Creating good data visualizations by keyword search Y Luo, X Qin, N Tang, G Li, X Wang Proceedings of the 2018 International Conference on Management of Data, 1733 …, 2018 | 61 | 2018 |
Human-in-the-loop outlier detection C Chai, L Cao, G Li, J Li, Y Luo, S Madden Proceedings of the 2020 ACM SIGMOD international conference on management of …, 2020 | 58 | 2020 |
Synthesizing natural language to visualization (NL2VIS) benchmarks from NL2SQL benchmarks Y Luo, N Tang, G Li, C Chai, W Li, X Qin Proceedings of the 2021 International Conference on Management of Data, 1235 …, 2021 | 52 | 2021 |
Deepeye: An automatic big data visualization framework X Qin, Y Luo, N Tang, G Li Big data mining and analytics 1 (1), 75-82, 2018 | 49 | 2018 |
Data management for machine learning: A survey C Chai, J Wang, Y Luo, Z Niu, G Li IEEE Transactions on Knowledge and Data Engineering 35 (5), 4646-4667, 2022 | 33 | 2022 |
Steerable self-driving data visualization Y Luo, X Qin, C Chai, N Tang, G Li, W Li IEEE Transactions on Knowledge and Data Engineering 34 (1), 475-490, 2020 | 33 | 2020 |
Interactive cleaning for progressive visualization through composite questions Y Luo, C Chai, X Qin, N Tang, G Li 2020 IEEE 36th International Conference on Data Engineering (ICDE), 733-744, 2020 | 31 | 2020 |
Selective data acquisition in the wild for model charging C Chai, J Liu, N Tang, G Li, Y Luo Proceedings of the VLDB Endowment 15 (7), 1466-1478, 2022 | 26 | 2022 |
Feature augmentation with reinforcement learning J Liu, C Chai, Y Luo, Y Lou, J Feng, N Tang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 3360-3372, 2022 | 24 | 2022 |
Visclean: Interactive cleaning for progressive visualization Y Luo, C Chai, X Qin, N Tang, G Li Proceedings of the VLDB Endowment 13 (12), 2821-2824, 2020 | 23 | 2020 |
Deeptrack: Monitoring and exploring spatio-temporal data: A case of tracking COVID-19 Y Luo, W Li, T Zhao, X Yu, L Zhang, G Li, N Tang Proceedings of the VLDB Endowment 13 (12), 2841-2844, 2020 | 21 | 2020 |
DeepEye: Visualizing Your Data by Keyword Search. X Qin, Y Luo, N Tang, G Li EDBT, 441-444, 2018 | 20 | 2018 |
Sevi: Speech-to-visualization through neural machine translation J Tang, Y Luo, M Ouzzani, G Li, H Chen Proceedings of the 2022 International Conference on Management of Data, 2353 …, 2022 | 15 | 2022 |
nvBench: A large-scale synthesized dataset for cross-domain natural language to visualization task Y Luo, J Tang, G Li arXiv preprint arXiv:2112.12926, 2021 | 14 | 2021 |
Automatic data acquisition for deep learning J Liu, F Zhu, C Chai, Y Luo, N Tang Proceedings of the VLDB Endowment 14 (12), 2739-2742, 2021 | 14 | 2021 |
Crowdchart: Crowdsourced data extraction from visualization charts C Chai, G Li, J Fan, Y Luo IEEE Transactions on Knowledge and Data Engineering 33 (11), 3537-3549, 2020 | 12 | 2020 |