Yuchen Fang

Orcid: 0000-0001-8540-4829

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Knowledge Distillation for Travel Time Estimation.
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

RAGraph: A General Retrieval-Augmented Graph Learning Framework.
CoRR, 2024

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems.
CoRR, 2024

Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model.
CoRR, 2024

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.
CoRR, 2024

RAGraph: A General Retrieval-Augmented Graph Learning Framework.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Advancing Certified Robustness of Explanation via Gradient Quantization.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Spatio-temporal hierarchical MLP network for traffic forecasting.
Inf. Sci., 2023

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting.
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

Constrained Market Share Maximization by Signal-Guided Optimization.
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

DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting.
CoRR, 2021

STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting.
CoRR, 2021


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