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Peiyu Yi
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2020 – today
- 2024
- [j6]Feihu Huang, Jince Wang, Peiyu Yi, Jian Peng, Xi Xiong, Yun Liu:
SCSQ: A sample cooperation optimization method with sample quality for recurrent neural networks. Inf. Sci. 674: 120730 (2024) - [j5]Peiyu Yi, Zhifeng Bao, Feihu Huang, Jince Wang, Jian Peng, Linghao Zhang:
Towards Effective Long-Term Wind Power Forecasting: A Deep Conditional Generative Spatio-Temporal Approach. IEEE Trans. Knowl. Data Eng. 36(12): 9403-9417 (2024) - [j4]Peiyu Yi, Feihu Huang, Jian Peng, Zhifeng Bao:
Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting. ACM Trans. Spatial Algorithms Syst. 10(4): 1-23 (2024) - [c3]Feihu Huang, Peiyu Yi, Shan Li, Haiwen Xu:
Data Quality-based Gradient Optimization for Recurrent Neural Networks. WWW (Companion Volume) 2024: 1496-1501 - 2023
- [j3]Peiyu Yi, Feihu Huang, Jince Wang, Jian Peng:
Topology augmented dynamic spatial-temporal network for passenger flow forecasting in urban rail transit. Appl. Intell. 53(21): 24655-24670 (2023) - [j2]Jince Wang, Zibo He, Tianyu Geng, Feihu Huang, Pu Gong, Peiyu Yi, Jian Peng:
State Causality and Adaptive Covariance Decomposition Based Time Series Forecasting. Sensors 23(2): 809 (2023) - 2022
- [j1]Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng, Xi Xiong:
A dynamical spatial-temporal graph neural network for traffic demand prediction. Inf. Sci. 594: 286-304 (2022) - [c2]Feihu Huang, Peiyu Yi, Jince Wang, Mengshi Li, Jian Peng:
Time-Series Forecasting With Shape Attention*. SMC 2022: 3299-3304 - 2021
- [c1]Peiyu Yi, Feihu Huang, Jian Peng:
A Fine-grained Graph-based Spatiotemporal Network for Bike Flow Prediction in Bike-sharing Systems. SDM 2021: 513-521
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