LSTM variants meet graph neural networks for road speed prediction Z Lu, W Lv, Y Cao, Z Xie, H Peng, B Du Neurocomputing 400, 34-45, 2020 | 88 | 2020 |
Sequential graph neural network for urban road traffic speed prediction Z Xie, W Lv, S Huang, Z Lu, B Du, R Huang IEEE Access 8, 63349-63358, 2019 | 78 | 2019 |
KID model-driven things-edge-cloud computing paradigm for traffic data as a service B Du, R Huang, Z Xie, J Ma, W Lv IEEE Network 32 (1), 34-41, 2018 | 29 | 2018 |
Graph sequence neural network with an attention mechanism for traffic speed prediction Z Lu, W Lv, Z Xie, B Du, G Xiong, L Sun, H Wang ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-24, 2022 | 21 | 2022 |
Leveraging graph neural network with lstm for traffic speed prediction Z Lu, W Lv, Z Xie, B Du, R Huang 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 18 | 2019 |
Hierarchical comprehensive context modeling for Chinese text classification J Liu, C Xia, H Yan, Z Xie, J Sun IEEE Access 7, 154546-154559, 2019 | 16 | 2019 |
An evolvable and transparent data as a service framework for multisource data integration and fusion Z Xie, W Lv, L Qin, B Du, R Huang Peer-to-Peer Networking and Applications 11, 697-710, 2018 | 13 | 2018 |
Active CTDaaS: A data service framework based on transparent IoD in city traffic B Du, R Huang, X Chen, Z Xie, Y Liang, W Lv, J Ma IEEE Transactions on Computers 65 (12), 3524-3536, 2016 | 13 | 2016 |
Highway traffic volume prediction via stacking KNN, SVR, MLP, RNN Z Lu, W Lv, Z Xie, T Zhu 2018 IEEE SmartWorld, ubiquitous intelligence & computing, advanced …, 2018 | 9 | 2018 |
Leveraging Graph Neural Network With LSTM For Traffic Speed Prediction. In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable … Z Lu, W Lv, Z Xie, B Du, R Huang | 6 | 2019 |
Optimization of bus lines based on passenger group moving behaviors SMA Ali, W Lv, B Du, Z Xie, R Huang 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2018 | 4 | 2018 |
Integrating query data for enhanced traffic forecasting: A spatio-temporal graph attention convolution network approach with delay modeling Z Qiu, Z Xie, Z Ji, X Liu, G Wang Knowledge-Based Systems 301, 112315, 2024 | 3 | 2024 |
Guaranteeing differential privacy for sequence predictions in bike sharing systems Z Xie, B Du, S Huang, B Huang, L Sun, W Lv Concurrency and Computation: Practice and Experience 32 (19), e5770, 2020 | 1 | 2020 |
HGSMAP: a novel heterogeneous graph-based associative percept framework for scenario-based optimal model assignment Z Qiu, Z Xie, Z Ji, Y Mao, K Cheng Knowledge and Information Systems, 1-38, 2024 | | 2024 |
Enhancing Knowledge-Aware Recommendation with Dual-Graph Contrastive Learning J Huang, Z Xie, H Zhang, B Yang, C Di, R Huang Information 15 (9), 534, 2024 | | 2024 |
Locating the Root Cause of Poor Coverage in Mobile Communication Networks Based on Spatio-temporal Graph Message Propagation Z Xie, B Yang, J Huang, H Zhao, L Xu, Y Wang, X Wang, R Liu 2024 International Wireless Communications and Mobile Computing (IWCMC …, 2024 | | 2024 |
Cross-Layer Alarm Association Rules Discovery of Cloud-Network based on Knowledge Graph H Zhao, H Li, B Wu, R Liu, L Xu, B Huang, Z Xie, X Cheng 2024 International Wireless Communications and Mobile Computing (IWCMC), 400-405, 2024 | | 2024 |
SMAP: A Novel Heterogeneous Information Framework for Scenario-based Optimal Model Assignment Z Qiu, Z Xie, Z Ji, Y Mao, K Cheng Proceedings of the 2024 9th International Conference on Machine Learning …, 2024 | | 2024 |
Root Cause Localization of Poor Voice Call Quality Based on Probabilistic Knowledge Graphs Z Xie, B Yang, H Zhao, Y Wang, X Wang, L Xu 2024 Sixth International Conference on Next Generation Data-driven Networks …, 2024 | | 2024 |
A Novel Energy Saving Algorithm for Network Deep Learning Tasks X Wang, Y Wang, C Cheng, Z Xie, W Gao, X Cheng, L Xu, Y Tan, J Tong 2024 Sixth International Conference on Next Generation Data-driven Networks …, 2024 | | 2024 |