Yuchen Fang

43 papers A* 11A 1Journal 28Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Adaptive Frequency Pathways for Spatiotemporal Forecasting.
AAAI
Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao
2026 A* conf
Task-Aware Retrieval Augmentation for Dynamic Recommendation.
AAAI
Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun
2026 J jnl
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.
IEEE Trans. Knowl. Data Eng.
Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Yan Zhao, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou, Kai Zheng
2025 J jnl
CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting.
IEEE Trans. Intell. Veh.
Yuchen Fang, Haiyong Luo, Fang Zhao, Poly Z. H. Sun, Yanjun Qin, Liang Zeng, Bo Hui, Chenxing Wang
2025 J jnl
Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning.
IEEE Trans. Intell. Transp. Syst.
Chenxing Wang, Fang Zhao, Haiyong Luo, Poly Z. H. Sun, Yuchen Fang
2025 A* conf
Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation.
ICML
Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang
2025 — conf
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.
KDD (1)
Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng
2025 A* conf
Optimizing Multi-Center Collaboration for Task Assignment in Spatial Crowdsourcing.
ICDE
Ximu Zeng, Jianxing Lin, Liwei Deng, Yuchen Fang, Yan Zhao, Kai Zheng
2025 J jnl
STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization.
CoRR
Haoyu Zhang, Wentao Zhang, Hao Miao, Xinke Jiang, Yuchen Fang, Yifan Zhang
2025 — conf
TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems.
ACL (1)
Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xinyu Ma, Xu Chu, Junfeng Zhao, Yasha Wang
2025 J jnl
Task-Aware Retrieval Augmentation for Dynamic Recommendation.
CoRR
Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun
2025 A* conf
Time Series Supplier Allocation via Deep Black-Litterman Model.
AAAI
Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo
2025 A* conf
Towards Accurate Distance Estimation for Distribution-Aware c-ANN Search.
ICDE
Liwei Deng, Penghao Chen, Ximu Zeng, Yuchen Fang, Jin Chen, Yan Zhao
2025 J jnl
Towards Effective Transportation Mode-Aware Trajectory Recovery: Heterogeneity, Personalization and Efficiency.
IEEE Trans. Mob. Comput.
Chenxing Wang, Fang Zhao, Haiyong Luo, Yuchen Fang, Haichao Zhang, Haoyu Xiong
2025 J jnl
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.
CoRR
Yuchen Fang, Hao Miao, Yuxuan Liang, Liwei Deng, Yue Cui, Ximu Zeng, Yuyang Xia, Yan Zhao, Torben Bach Pedersen, Christian S. Jensen, Xiaofang Zhou, Kai Zheng
2024 A conf
Advancing Certified Robustness of Explanation via Gradient Quantization.
CIKM
Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui
2024 J jnl
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting.
IEEE Internet Things J.
Yanjun Qin, Xiaoming Tao, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2024 J jnl
Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective.
CoRR
Yuchen Fang, Yuxuan Liang, Bo Hui, Zezhi Shao, Liwei Deng, Xu Liu, Xinke Jiang, Kai Zheng
2024 J jnl
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.
CoRR
Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
2024 J jnl
Knowledge Distillation for Travel Time Estimation.
IEEE Trans. Intell. Transp. Syst.
Haichao Zhang, Fang Zhao, Chenxing Wang, Haiyong Luo, Haoyu Xiong, Yuchen Fang
2024 A* conf
RAGraph: A General Retrieval-Augmented Graph Learning Framework.
NeurIPS
Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Chu Xu, Junfeng Zhao, Yasha Wang
2024 J jnl
RAGraph: A General Retrieval-Augmented Graph Learning Framework.
CoRR
Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
2024 J jnl
STWave$^+$+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting.
IEEE Trans. Knowl. Data Eng.
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Kai Zheng
2024 J jnl
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
IEEE Trans. Knowl. Data Eng.
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Zezhi Shao, Jincai Huang, Junbo Zhang, Yu Zheng
2024 J jnl
TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems.
CoRR
Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
2024 A* conf
Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection.
ICDE
Yuchen Fang, Jiandong Xie, Yan Zhao, Lu Chen, Yunjun Gao, Kai Zheng
2024 J jnl
Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model.
CoRR
Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang
2024 — conf
Vehicle-Based Evolutionary Travel Time Estimation with Deep Meta Learning.
ICANN (9)
Chenxing Wang, Fang Zhao, Haiyong Luo, Yuchen Fang, Haichao Zhang, Haoyu Xiong
2023 A* conf
Constrained Market Share Maximization by Signal-Guided Optimization.
AAAI
Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku
2023 J jnl
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting.
CoRR
Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu
2023 J jnl
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
CoRR
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng
2023 J jnl
Spatio-temporal hierarchical MLP network for traffic forecasting.
Inf. Sci.
Yanjun Qin, Haiyong Luo, Fang Zhao, Yuchen Fang, Xiaoming Tao, Chenxing Wang
2023 A* conf
When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks.
ICDE
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang
2022 J jnl
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning.
IEEE Trans. Intell. Transp. Syst.
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
2022 J jnl
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning.
CoRR
Chenxing Wang, Fang Zhao, Haichao Zhang, Haiyong Luo, Yanjun Qin, Yuchen Fang
2022 J jnl
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer.
IEEE Trans. Intell. Transp. Syst.
Yuchen Fang, Fang Zhao, Yanjun Qin, Haiyong Luo, Chenxing Wang
2022 J jnl
Memory attention enhanced graph convolution long short-term memory network for traffic forecasting.
Int. J. Intell. Syst.
Yanjun Qin, Fang Zhao, Yuchen Fang, Haiyong Luo, Chenxing Wang
2022 A* conf
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network.
SIGIR
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2021 J jnl
CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting.
CoRR
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang
2021 J jnl
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting.
CoRR
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2021 J jnl
NDGCN: Network in Network, Dilate Convolution and Graph Convolutional Networks Based Transportation Mode Recognition.
IEEE Trans. Veh. Technol.
Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang, Yuchen Fang
2021 J jnl
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting.
CoRR
Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Chenxing Wang
2021 J jnl
STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting.
CoRR
Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang