| Spatio-temporal graph neural networks for predictive learning in urban computing: A survey G Jin, Y Liang, Y Fang, Z Shao, J Huang, J Zhang, Y Zheng IEEE Transactions on Knowledge and Data Engineering, 2023 | 84 | 2023 |
| Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer Y Fang, F Zhao, Y Qin, H Luo, C Wang IEEE Transactions on Intelligent Transportation Systems 23 (12), 23433-23446, 2022 | 22 | 2022 |
| When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks Y Fang, Y Qin, H Luo, F Zhao, B Xu, L Zeng, C Wang 2023 IEEE 39th International Conference on Data Engineering (ICDE), 517-529, 2023 | 17* | 2023 |
| Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network Y Qin, Y Fang, H Luo, F Zhao, C Wang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 14 | 2022 |
| Spatio-temporal hierarchical MLP network for traffic forecasting Y Qin, H Luo, F Zhao, Y Fang, X Tao, C Wang Information Sciences 632, 543-554, 2023 | 13 | 2023 |
| Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning C Wang, F Zhao, H Zhang, H Luo, Y Qin, Y Fang IEEE Transactions on Intelligent Transportation Systems 23 (9), 15716-15728, 2022 | 11 | 2022 |
| CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting Y Fang, Y Qin, H Luo, F Zhao, L Zeng, B Hui, C Wang arXiv preprint arXiv:2112.02736, 2021 | 11 | 2021 |
| DMGSTCN: Dynamic Multi-Graph Spatio-Temporal Convolution Network for Traffic Forecasting Y Qin, X Tao, Y Fang, H Luo, F Zhao, C Wang IEEE Internet of Things Journal, 2024 | 10* | 2024 |
| Memory attention enhanced graph convolution long short‐term memory network for traffic forecasting Y Qin, F Zhao, Y Fang, H Luo, C Wang International Journal of Intelligent Systems 37 (9), 6555-6576, 2022 | 9 | 2022 |
| NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition Y Qin, H Luo, F Zhao, C Wang, Y Fang IEEE Transactions on Vehicular Technology 70 (3), 2138-2152, 2021 | 8 | 2021 |
| STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting Y Fang, Y Qin, H Luo, F Zhao, K Zheng IEEE Transactions on Knowledge and Data Engineering, 2023 | 2 | 2023 |
| HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting Z Shao, F Wang, Z Zhang, Y Fang, G Jin, Y Xu arXiv preprint arXiv:2307.14596, 2023 | 2 | 2023 |
| Knowledge Distillation for Travel Time Estimation H Zhang, F Zhao, C Wang, H Luo, H Xiong, Y Fang IEEE Transactions on Intelligent Transportation Systems, 2024 | 1 | 2024 |
| Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model J Luo, W Zhang, Y Fang, X Gao, D Zhuang, H Chen, X Jiang arXiv preprint arXiv:2401.17350, 2024 | 1 | 2024 |
| Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation R Zhang, X Jiang, Y Fang, J Luo, Y Xu, Y Zhu, X Chu, J Zhao, Y Zhao arXiv preprint arXiv:2401.09943, 2024 | 1 | 2024 |
| Constrained Market Share Maximization by Signal-Guided Optimization B Hui, Y Fang, T Xia, S Aykent, WS Ku Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4330-4338, 2023 | 1 | 2023 |
