Chengqing Yu

Publication Activity (10 Years)

Years Active: 2020-2025
Publications (10 Years): 16

Top Topics

Multivariate Time Series

Relative Humidity

Reinforcement Learning

Top Venues

Digit. Signal Process.

Publications

Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction. Inf. Fusion 113 (2025)
Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu
Online Policy Distillation with Decision-Attention. CoRR (2024)
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. KDD (2024)
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. CoRR (2024)
Ziyi Shi, Jia Li, Zheyuan Jiang, Huang Li, Chengqing Yu, Xiwei Mi
WGformer: A Weibull-Gaussian Informer based model for wind speed prediction. Eng. Appl. Artif. Intell. 131 (2024)
Chengqing Yu, Guangxi Yan, Chengming Yu, Xinwei Liu, Xiwei Mi
MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction. Inf. Sci. 661 (2024)
Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang
Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. CIKM (2023)
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CIKM (2023)
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR (2023)
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CoRR (2023)
Chengqing Yu, Guangxi Yan, Chengming Yu, Xiwei Mi
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China. Appl. Soft Comput. 148 (2023)
Pan Shang, Xinwei Liu, Chengqing Yu, Guangxi Yan, Qingqing Xiang, Xiwei Mi
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network. Digit. Signal Process. 123 (2022)
Weiqiu Jin, Shuqin Dong, Chengqing Yu, Qingquan Luo
A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning. Comput. Biol. Medicine 146 (2022)
Xiwei Mi, Chengqing Yu, Xinwei Liu, Guangxi Yan, Fuhao Yu, Pan Shang
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network. Digit. Signal Process. 129 (2022)
Mengshuai Su, Hui Liu, Chengqing Yu, Zhu Duan
A new crude oil futures forecasting method based on fusing quadratic forecasting with residual forecasting. Digit. Signal Process. 130 (2022)
Hui Liu, Chengming Yu, Chengqing Yu, Chao Chen, Haiping Wu
A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network. Adv. Eng. Informatics 44 (2020)