| A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks L Chen, G Li, G Huang Information Sciences 553, 49-65, 2021 | 24 | 2021 |
| ADGCN: An asynchronous dilation graph convolutional network for traffic flow prediction T Qi, G Li, L Chen, Y Xue IEEE Internet of Things Journal 9 (5), 4001-4014, 2021 | 19 | 2021 |
| FedAGCN: A traffic flow prediction framework based on federated learning and Asynchronous Graph Convolutional Network T Qi, L Chen, G Li, Y Li, C Wang Applied Soft Computing 138, 110175, 2023 | 18 | 2023 |
| A missing type-aware adaptive interpolation framework for sensor data L Chen, G Li, G Huang, P Shi IEEE Transactions on Instrumentation and Measurement 70, 1-15, 2021 | 13 | 2021 |
| Traffic flow prediction using multi-view graph convolution and masked attention mechanism L Chen, P Shi, G Li, T Qi Computer Communications 194, 446-457, 2022 | 12 | 2022 |
| Anomaly detection using spatio-temporal correlation and information entropy in wireless sensor networks L Chen, L Xu, G Li 2020 International Conferences on Internet of Things (iThings) and IEEE …, 2020 | 2 | 2020 |
| An intelligent scheduling framework for DNN task acceleration in heterogeneous edge networks Y Feng, S Hu, L Chen, G Li Computer Communications 201, 91-101, 2023 | 1 | 2023 |
| A Sparse Cross Attention-based Graph Convolution Network with Auxiliary Information Awareness for Traffic Flow Prediction L Chen, Q Zhao, G Li, M Zhou, C Dai, Y Feng arXiv preprint arXiv:2312.09050, 2023 | | 2023 |
| A lightweight model using frequency, trend and temporal attention for long sequence time-series prediction L Chen, G Li, G Huang, Q Zhao Neural Computing and Applications 35 (28), 21291-21307, 2023 | | 2023 |
Guangyan HuangDeakin University在 deakin.edu.au 的电子邮件经过验证
Guangyan HuangDeakin University在 deakin.edu.au 的电子邮件经过验证
Shihong HuHohai University在 hhu.edu.cn 的电子邮件经过验证