| Graph attention convolutional network: Spatiotemporal modeling for urban traffic prediction Q Song, RB Ming, J Hu, H Niu, M Gao 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 13 | 2020 |
| Graph database and relational database performance comparison on a transportation network J Chen, Q Song, C Zhao, Z Li Advances in Computing and Data Sciences: 4th International Conference …, 2020 | 12 | 2020 |
| An urban topological map generation method for traffic flow prediction based on road segment clustering with floating vehicle trajectory dataset Q Song, J Hu, R Zhang, Z Zhang CICTP 2019, 2330-2338, 2019 | 2 | 2019 |
| Towards Robust Learning to Optimize with Theoretical Guarantees Q Song, W Lin, J Wang, X Hong Proc. of IEEE/CVF CVPR, 2024 | | 2024 |
| Fed2Com: Towards Efficient Compression in Federated Learning Y Zhang, W Lin, S Chen, Q Song, J Lu, Y Shao, B Yu, H Xu Proc. of IEEE ICNC, 2024 | | 2024 |
| A Learning-only Method for Multi-Cell Multi-User MIMO Sum Rate Maximization Q Song, J Wang, J Li, G Liu, H Xu Proc. of IEEE INFOCOM, 2024 | | 2024 |
| Learning to Optimize Non-Convex Sum-Rate Maximization Problems Q Song, G Liu, H Xu 1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023 | | 2023 |
| Towards a Learning-Only Approach for Non-Convex Sum-Rate Maximization Q Song, G Liu, H Xu 1st Workshop on Learning-augmented Algorithms: Theory and Applications …, 2023 | | 2023 |
