Yuchen Fang
Orcid: 0000-0001-8540-4829Affiliations:
- Beijing University of Posts and Telecommunications, Beijing, China
According to our database1,
Yuchen Fang
authored at least 27 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
IEEE Trans. Knowl. Data Eng., October, 2024
IEEE Trans. Intell. Transp. Syst., August, 2024
STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting.
IEEE Trans. Knowl. Data Eng., June, 2024
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting.
IEEE Internet Things J., June, 2024
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.
CoRR, 2024
CoRR, 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
CoRR, 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
CoRR, 2023
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning.
IEEE Trans. Intell. Transp. Syst., 2022
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer.
IEEE Trans. Intell. Transp. Syst., 2022
Memory attention enhanced graph convolution long short-term memory network for traffic forecasting.
Int. J. Intell. Syst., 2022
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
2021
NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition.
IEEE Trans. Veh. Technol., 2021
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting.
CoRR, 2021
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting.
CoRR, 2021
CoRR, 2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting.
CoRR, 2021