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Chengqing Yu
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2020 – today
- 2025
- [j10]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: 102607 (2025) - 2024
- [j9]Ziyi Shi, Jia Li, Zheyuan Jiang, Huang Li
WGformer: A Weibull-Gaussian Informer based model for wind speed prediction. Eng. Appl. Artif. Intell. 131: 107891 (2024) - [j8]Liheng Yuan
Semi-supervised anomaly detection with contamination-resilience and incremental training. Eng. Appl. Artif. Intell. 138: 109311 (2024) - [j7]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: 120150 (2024) - [c4]Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu:
Online Policy Distillation with Decision-Attention. IJCNN 2024: 1-8 - [c3]Chengqing Yu
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. KDD 2024: 3989-4000 - [i5]Chengqing Yu
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. CoRR abs/2405.11333 (2024) - [i4]Xinqiang Yu, Chuanguang Yang, Chengqing Yu
Online Policy Distillation with Decision-Attention. CoRR abs/2406.05488 (2024) - [i3]Yisong Fu, Fei Wang, Zezhi Shao, Chengqing Yu, Yujie Li, Zhao Chen, Zhulin An, Yongjun Xu:
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting. CoRR abs/2408.09695 (2024) - 2023
- [j6]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: 110864 (2023) - [c2]Chengqing Yu
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CIKM 2023: 3062-3072 - [c1]Yuan Wang
Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. CIKM 2023: 4340-4344 - [i2]Chengqing Yu
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CoRR abs/2308.03274 (2023) - [i1]Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR abs/2310.06119 (2023) - 2022
- [j5]Weiqiu Jin, Shuqin Dong, Chengqing Yu
A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning. Comput. Biol. Medicine 146: 105560 (2022) - [j4]Pan Shang, Xinwei Liu, Chengqing Yu
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network. Digit. Signal Process. 123: 103419 (2022) - [j3]Xiwei Mi, Chengqing Yu
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network. Digit. Signal Process. 129: 103643 (2022) - [j2]Mengshuai Su
A new crude oil futures forecasting method based on fusing quadratic forecasting with residual forecasting. Digit. Signal Process. 130: 103691 (2022) - 2020
- [j1]Hui Liu
A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network. Adv. Eng. Informatics 44: 101089 (2020)
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