| Reinforcement learning with tree-lstm for join order selection X Yu, G Li, C Chai, N Tang 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1297-1308, 2020 | 141 | 2020 |
| Database meets artificial intelligence: A survey X Zhou, C Chai, G Li, J Sun IEEE Transactions on Knowledge and Data Engineering 34 (3), 1096-1116, 2020 | 119 | 2020 |
| Cost-effective crowdsourced entity resolution: A partial-order approach C Chai, G Li, J Li, D Deng, J Feng Proceedings of the 2016 International Conference on Management of Data, 969-984, 2016 | 108 | 2016 |
| CDB: optimizing queries with crowd-based selections and joins G Li, C Chai, J Fan, X Weng, J Li, Y Zheng, Y Li, X Yu, X Zhang, H Yuan Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 77 | 2017 |
| 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 | 73 | 2021 |
| 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 | 49 | 2021 |
| FACE: A normalizing flow based cardinality estimator J Wang, C Chai, J Liu, G Li Proceedings of the VLDB Endowment 15 (1), 72-84, 2021 | 46 | 2021 |
| A learned query rewrite system using monte carlo tree search X Zhou, G Li, C Chai, J Feng Proceedings of the VLDB Endowment 15 (1), 46-58, 2021 | 45 | 2021 |
| Crowdsourcing database systems: Overview and challenges C Chai, J Fan, G Li, J Wang, Y Zheng 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2052-2055, 2019 | 38 | 2019 |
| Human-in-the-loop Techniques in Machine Learning. C Chai, G Li IEEE Data Eng. Bull. 43 (3), 37-52, 2020 | 34 | 2020 |
| 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 | 32 | 2022 |
| A partial-order-based framework for cost-effective crowdsourced entity resolution C Chai, G Li, J Li, D Deng, J Feng The VLDB Journal 27, 745-770, 2018 | 32 | 2018 |
| 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 | 31 | 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 | 30 | 2020 |
| Domain adaptation for deep entity resolution J Tu, J Fan, N Tang, P Wang, C Chai, G Li, R Fan, X Du Proceedings of the 2022 International Conference on Management of Data, 443-457, 2022 | 28 | 2022 |
| Incentive-based entity collection using crowdsourcing C Chai, J Fan, G Li 2018 IEEE 34th International Conference on Data Engineering (ICDE), 341-352, 2018 | 28 | 2018 |
| AnalyticDB: real-time OLAP database system at Alibaba cloud C Zhan, M Su, C Wei, X Peng, L Lin, S Wang, Z Chen, F Li, Y Pan, ... Proceedings of the VLDB Endowment 12 (12), 2059-2070, 2019 | 27 | 2019 |
| CDB: A crowd-powered database system G Li, C Chai, J Fan, X Weng, J Li, Y Zheng, Y Li, X Yu, X Zhang, H Yuan Proceedings of the VLDB Endowment 11 (12), 1926-1929, 2018 | 26 | 2018 |
| 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 | 25 | 2022 |
Guoliang LiProfessor, Tsinghua Universitytsinghua.edu.cn의 이메일 확인됨
