Yuchen Fang

Orcid: 0000-0002-7882-8698

According to our database1, Yuchen Fang authored at least 37 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

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

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

2023
Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators.
Sensors, March, 2023

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

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models.
CoRR, 2023

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting.
CoRR, 2023

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.
CoRR, 2023

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.
CoRR, 2023

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
ACM Trans. Inf. Syst., 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

Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Universal Trading for Order Execution with Oracle Policy Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network.
CoRR, 2020

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

User Behavior Retrieval for Click-Through Rate Prediction.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Deep Recurrent Survival Model for Unbiased Ranking.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A Workflow Interoperability Approach Based on Blockchain.
Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

2018
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016
Influence of branch architectures on gap fraction and clumping index of canopies.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Simulation and analysis on the influence of different types of soil background on the remote sensing information of wheat NDVI of farmland.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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