We stand with Ukraine

We stand with Ukraine

Yuchen Fang

Orcid: 0000-0002-6797-7292

Affiliations:

University of Electronic Science and Technology of China, Chengdu, China
Beijing University of Posts and Telecommunications, Beijing, China (former)

According to our database¹, Yuchen Fang authored at least 39 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org
on frakeyc.github.io

On csauthors.net:

Bibliography

2026

Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review.

[DOI]

,

,

,

,

,

,

,

,

Torben Bach Pedersen

,

Christian S. Jensen

,

,

IEEE Trans. Knowl. Data Eng., March, 2026

Efficient High-Dimensional Time Series Forecasting with Transformers: A Channel Reordering Perspective.

[DOI]

,

,

,

,

,

,

Proceedings of the ACM Web Conference 2026, 2026

Task-Aware Retrieval Augmentation for Dynamic Recommendation.

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Adaptive Frequency Pathways for Spatiotemporal Forecasting.

[DOI]

,

,

,

,

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning.

[DOI]

,

,

,

,

IEEE Trans. Intell. Transp. Syst., June, 2025

Towards Effective Transportation Mode-Aware Trajectory Recovery: Heterogeneity, Personalization and Efficiency.

[DOI]

,

,

,

,

,

IEEE Trans. Mob. Comput., April, 2025

CDGNet: A Cross-Time Dynamic Graph-Based Deep Learning Model for Vehicle-Based Traffic Speed Forecasting.

[DOI]

,

,

,

,

,

,

,

IEEE Trans. Intell. Veh., January, 2025

STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization.

[DOI]

,

,

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

[DOI]

,

,

,

,

,

,

,

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation.

[DOI]

,

,

,

,

,

,

,

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Optimizing Multi-Center Collaboration for Task Assignment in Spatial Crowdsourcing.

[DOI]

,

,

,

,

,

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Towards Accurate Distance Estimation for Distribution-Aware c-ANN Search.

[DOI]

,

,

,

,

,

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

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

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Time Series Supplier Allocation via Deep Black-Litterman Model.

[DOI]

,

,

,

,

,

,

,

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

[DOI]

,

,

,

,

,

,

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

Knowledge Distillation for Travel Time Estimation.

[DOI]

,

,

,

,

,

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.

[DOI]

,

,

,

,

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

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

[DOI]

,

,

,

,

,

IEEE Internet Things J., June, 2024

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

[DOI]

,

,

,

,

,

,

,

,

,

,

,

CoRR, 2024

Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model.

[DOI]

,

,

,

,

,

,

CoRR, 2024

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

[DOI]

,

,

,

,

,

,

,

,

CoRR, 2024

RAGraph: A General Retrieval-Augmented Graph Learning Framework.

[DOI]

,

,

,

,

,

,

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection.

[DOI]

,

,

,

,

,

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

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

[DOI]

,

,

,

,

,

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

Advancing Certified Robustness of Explanation via Gradient Quantization.

[DOI]

,

,

,

,

,

,

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

2023

Spatio-temporal hierarchical MLP network for traffic forecasting.

[DOI]

,

,

,

,

,

Inf. Sci., 2023

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

[DOI]

,

,

,

,

,

CoRR, 2023

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

[DOI]

,

,

,

,

,

CoRR, 2023

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

[DOI]

,

,

,

,

,

,

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

Constrained Market Share Maximization by Signal-Guided Optimization.

[DOI]

,

,

,

,

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.

[DOI]

,

,

,

,

,

IEEE Trans. Intell. Transp. Syst., 2022

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

[DOI]

,

,

,

,

IEEE Trans. Intell. Transp. Syst., 2022

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

[DOI]

,

,

,

,

Int. J. Intell. Syst., 2022

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

[DOI]

,

,

,

,

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.

[DOI]

,

,

,

,

IEEE Trans. Veh. Technol., 2021

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

[DOI]

,

,

,

,

,

CoRR, 2021

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

[DOI]

,

,

,

,

,

,

CoRR, 2021

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

[DOI]

,

,

,

,

CoRR, 2021

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

[DOI]

,

,

,

,

CoRR, 2021

Loading...