| Long-term spatio-temporal forecasting via dynamic multiple-graph attention W Shao, Z Jin, S Wang, Y Kang, X Xiao, H Menouar, Z Zhang, J Zhang, ... arXiv preprint arXiv:2204.11008, 2022 | 55 | 2022 |
| A dual-path dynamic directed graph convolutional network for air quality prediction X Xiao, Z Jin, S Wang, J Xu, Z Peng, R Wang, W Shao, Y Hui Science of The Total Environment 827, 154298, 2022 | 40 | 2022 |
| Hybrid spatial–temporal graph convolutional networks for on-street parking availability prediction X Xiao, Z Jin, Y Hui, Y Xu, W Shao Remote Sensing 13 (16), 3338, 2021 | 32 | 2021 |
| Parking prediction in smart cities: A survey X Xiao, Z Peng, Y Lin, Z Jin, W Shao, R Chen, N Cheng, G Mao IEEE Transactions on Intelligent Transportation Systems 24 (10), 10302-10326, 2023 | 19 | 2023 |
| Dynamic graph neural network with adaptive edge attributes for air quality prediction: A case study in China J Xu, S Wang, N Ying, X Xiao, J Zhang, Z Jin, Y Cheng, G Zhang Heliyon 9 (7), 2023 | 5 | 2023 |
| Early Spatiotemporal Event Prediction via Adaptive Controller and Spatiotemporal Embedding W Shao, Z Peng, Y Kang, X Xiao, Z Jin 2023 IEEE International Conference on Data Mining (ICDM), 1307-1312, 2023 | 3 | 2023 |
| INAM-Based Image-Adaptive 3D LUTs for Underwater Image Enhancement X Xiao, X Gao, Y Hui, Z Jin, H Zhao Sensors 23 (4), 2169, 2023 | 3 | 2023 |
| Spatial-Temporal Graph Convolutional Networks for Parking Space Prediction in Smart Cities X Xiao, Z Jin, Y Hui, N Cheng, TH Luan 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 1-5, 2021 | 2 | 2021 |
| STM2CN: A Multi-graph Attention-based Framework for Sensor Data Prediction in Smart Cities Z Jin, J Xu, R Huang, W Shao, X Xiao 2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022 | 1 | 2022 |
| Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions J Xu, S Wang, N Ying, X Xiao, J Zhang, Y Cheng, Z Jin, G Zhang arXiv preprint arXiv:2302.09977, 2023 | | 2023 |
