Yuchen Fang

According to our database, Yuchen Fang authored at least 27 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.

Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng

IEEE Trans. Knowl. Data Eng., October, 2024

Knowledge Distillation for Travel Time Estimation.

Haichao Zhang, Fang Zhao, Chenxing Wang, Haiyong Luo, Haoyu Xiong, Yuchen Fang

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.

Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Kai Zheng

IEEE Trans. Knowl. Data Eng., June, 2024

DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting.

Yanjun Qin, Xiaoming Tao, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang

IEEE Internet Things J., June, 2024

Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.

Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng

CoRR, 2024

RAGraph: A General Retrieval-Augmented Graph Learning Framework.

Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

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

Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model.

Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang

CoRR, 2024

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

Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

RAGraph: A General Retrieval-Augmented Graph Learning Framework.

Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Chu Xu, Junfeng Zhao, Yasha Wang

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.

Yuchen Fang, Jiandong Xie, Yan Zhao, Lu Chen, Yunjun Gao, Kai Zheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta Learning.

Chenxing Wang, Fang Zhao, Haiyong Luo, Yuchen Fang, Haichao Zhang, Haoyu Xiong

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Advancing Certified Robustness of Explanation via Gradient Quantization.

Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Spatio-temporal hierarchical MLP network for traffic forecasting.

Yanjun Qin, Haiyong Luo, Fang Zhao, Yuchen Fang, Xiaoming Tao, Chenxing Wang

Inf. Sci., 2023

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

Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu

CoRR, 2023

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.

Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng

CoRR, 2023

When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks.

Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Constrained Market Share Maximization by Signal-Guided Optimization.

Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku

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.

Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang

IEEE Trans. Intell. Transp. Syst., 2022

Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer.

Yuchen Fang, Fang Zhao, Yanjun Qin, Haiyong Luo, Chenxing Wang

IEEE Trans. Intell. Transp. Syst., 2022

Memory attention enhanced graph convolution long short-term memory network for traffic forecasting.

Yanjun Qin, Fang Zhao, Yuchen Fang, Haiyong Luo, Chenxing Wang

Int. J. Intell. Syst., 2022

Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network.

Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang

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.

Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Yuchen Fang

IEEE Trans. Veh. Technol., 2021

STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting.

Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang

CoRR, 2021

CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting.

Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang

CoRR, 2021

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

Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang

CoRR, 2021

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

Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang

CoRR, 2021