| A survey of traffic prediction: from spatio-temporal data to intelligent transportation H Yuan, G Li Data Science and Engineering 6 (1), 63-85, 2021 | 212 | 2021 |
| Distributed in-memory trajectory similarity search and join on road network H Yuan, G Li 2019 IEEE 35th international conference on data engineering (ICDE), 1262-1273, 2019 | 88 | 2019 |
| Effective Travel Time Estimation: When Historical Trajectories over Road Networks Matter H Yuan, G Li, Z Bao, L Feng Proceedings of the 2020 ACM International Conference on Management of Data, 2020 | 86 | 2020 |
| 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 |
| Automatic View Generation with Deep Learning and Reinforcement Learning H Yuan, G Li, L Feng, J Sun, Y Han 2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020 | 68 | 2020 |
| An Effective Joint Prediction Model for Travel Demands and Traffic Flows H Yuan, G Li, Z Bao, L Feng 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021 | 43 | 2021 |
| An autonomous materialized view management system with deep reinforcement learning Y Han, G Li, H Yuan, J Sun 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2159-2164, 2021 | 26 | 2021 |
| 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 |
| Guoliang Li H Yuan A survey of traffic prediction: from spatio-temporal data to intelligent …, 2021 | 13 | 2021 |
| 基于机器学习的数据库技术综述 李国良， 周煊赫， 孙佶， 余翔， 袁海涛， 刘佳斌， 韩越 计算机学报 43 (11), 2019-2049, 2020 | 11 | 2020 |
| 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 | 10 | 2019 |
| Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity H Yuan, G Li, Z Bao PVLDB, 2023 | 8 | 2023 |
| Aug-fedprompt: Practical few-shot federated nlp with data-augmented prompts D Cai, Y Wu, H Yuan, S Wang, FX Lin, M Xu arXiv preprint arXiv:2212.00192, 2022 | 8* | 2022 |
| Dueta: Traffic congestion propagation pattern modeling via efficient graph learning for eta prediction at baidu maps J Huang, Z Huang, X Fang, S Feng, X Chen, J Liu, H Yuan, H Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 7 | 2022 |
| Effective few-shot named entity linking by meta-learning X Li, Z Li, Z Zhang, N Liu, H Yuan, W Zhang, Z Liu, J Wang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 178-191, 2022 | 7 | 2022 |
| 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 | 6 | 2022 |
| 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 | 6 | 2019 |
| ELASTIC: edge workload forecasting based on collaborative cloud-edge deep learning Y Li, H Yuan, Z Fu, X Ma, M Xu, S Wang Proceedings of the ACM Web Conference 2023, 3056-3066, 2023 | 5 | 2023 |
| AutoView: An Autonomous Materialized View Management System with Encoder-Reducer Y Han, G Li, H Yuan, J Sun IEEE Transactions on Knowledge and Data Engineering, 2022 | 3 | 2022 |
| Coupled Graph Neural Networks for Text-oriented Clinical Diagnosis Inference N Liu, W Zhang, X Li, H Yuan, J Wang 2020 International Conference on Database Systems for Advanced Applications, 2020 | 3* | 2020 |
Guoliang LiProfessor, Tsinghua Universitytsinghua.edu.cn의 이메일 확인됨
