Peiyu Yi

According to our database, Peiyu Yi authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach.

Peiyu Yi, Zhifeng Bao, Feihu Huang, Jince Wang, Jian Peng, Linghao Zhang

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

Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting.

Peiyu Yi, Feihu Huang, Jian Peng, Zhifeng Bao

ACM Trans. Spatial Algorithms Syst., 2024

SCSQ: A sample cooperation optimization method with sample quality for recurrent neural networks.

Feihu Huang, Jince Wang, Peiyu Yi, Jian Peng, Xi Xiong, Yun Liu

Inf. Sci., 2024

Data Quality-based Gradient Optimization for Recurrent Neural Networks.

Feihu Huang, Peiyu Yi, Shan Li, Haiwen Xu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Topology augmented dynamic spatial-temporal network for passenger flow forecasting in urban rail transit.

Peiyu Yi, Feihu Huang, Jince Wang, Jian Peng

Appl. Intell., November, 2023

State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting.

Jince Wang, Zibo He, Tianyu Geng, Feihu Huang, Pu Gong, Peiyu Yi, Jian Peng

Sensors, January, 2023

2022

A dynamical spatial-temporal graph neural network for traffic demand prediction.

Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng, Xi Xiong

Inf. Sci., 2022

Time-Series Forecasting With Shape Attention^*.

Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021

A Fine-grained Graph-based Spatiotemporal Network for Bike Flow Prediction in Bike-sharing Systems.

Peiyu Yi, Feihu Huang, Jian Peng

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021