Approximate query processing: What is new and where to go? a survey on approximate query processing K Li, G Li Data Science and Engineering 3 (4), 379-397, 2018 | 152 | 2018 |
A Rating-Ranking Method for Crowdsourced Top-k Computation K Li, X Zhang, G Li Proceedings of the 2018 International Conference on Management of Data, 975-990, 2018 | 28 | 2018 |
Bounded approximate query processing K Li, Y Zhang, G Li, W Tao, Y Yan IEEE Transactions on Knowledge and Data Engineering 31 (12), 2262-2276, 2018 | 26 | 2018 |
A deep generative model for trajectory modeling and utilization Y Wang, G Li, K Li, H Yuan Proceedings of the VLDB Endowment 16 (4), 973-985, 2022 | 18 | 2022 |
Evaluating public anxiety for topic-based communities in social networks N Ta, K Li, Y Yang, F Jiao, Z Tang, G Li IEEE Transactions on Knowledge and Data Engineering 34 (3), 1191-1205, 2020 | 18 | 2020 |
Crowdrl: An end-to-end reinforcement learning framework for data labelling K Li, G Li, Y Wang, Y Huang, Z Liu, Z Wu 2021 IEEE 37th International Conference on Data Engineering (ICDE), 289-300, 2021 | 16 | 2021 |
Trapped in the search box: An examination of algorithmic bias in search engine autocomplete predictions C Lin, Y Gao, N Ta, K Li, H Fu Telematics and Informatics 85, 102068, 2023 | 12 | 2023 |
Towards automatic mathematical exercise solving T Zhao, C Chai, Y Luo, J Feng, Y Huang, S Yang, H Yuan, H Li, K Li, ... Data Science and Engineering 4, 179-192, 2019 | 11 | 2019 |
Mathgraph: A knowledge graph for automatically solving mathematical exercises T Zhao, Y Huang, S Yang, Y Luo, J Feng, Y Wang, H Yuan, K Pan, K Li, ... Database Systems for Advanced Applications: 24th International Conference …, 2019 | 8 | 2019 |
Cuvim: Extracting fresh information from social network R Guo, H Wang, K Li, J Li, H Gao Web-Age Information Management: 14th International Conference, WAIM 2013 …, 2013 | 6 | 2013 |
Influential factors on collective anxiety of online topic-based communities Y Yang, N Ta, K Li, F Jiao, B Hu, Z Li Frontiers in Psychology 12, 740065, 2021 | 4 | 2021 |
Fast, Robust and Interpretable Participant Contribution Estimation for Federated Learning Y Wang, K Li, Y Luo, G Li, Y Guo, Z Wang 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2298-2311, 2024 | 3 | 2024 |
联邦学习贡献评估综述 王勇, 李国良, 李开宇 软件学报 34 (3), 1168-1192, 2022 | 3 | 2022 |
Web Table Understanding by Collective Inference KL San Kim, Guoliang Li, Jianhua Feng Proceedings of the 27th ACM International Conference on Information and …, 2018 | 3 | 2018 |
Optimizing Data Migration Using Online Clustering J Pan, Y Peng, K Li, A An, X Yu, D Jania Proceedings of the 33rd Annual International Conference on Computer Science …, 2023 | 2 | 2023 |
Road-Aware Indexing for Trajectory Range Queries Y Wang, K Li, G Li, N Tang IEEE Transactions on Knowledge and Data Engineering 35 (8), 8476-8489, 2022 | 2 | 2022 |
Contributions Estimation in Federated Learning: A Comprehensive Experimental Evaluation Y Chen, K Li, G Li, Y Wang Proceedings of the VLDB Endowment 17 (8), 2077-2090, 2024 | 1 | 2024 |
Knowledge Base Error Detection with Relation Sensitive Embedding S Kim, X Li, K Li, J Feng, Y Huang, S Yang Database Systems for Advanced Applications: 24th International Conference …, 2019 | 1 | 2019 |
DAMOCRO: A Data Migration Framework Using Online Classification and Reordering Z Hu, K Li, X Mao, J Pan, Y Peng, A An, X Yu, D Jania Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |