A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network. - Hui Liu 023; Chengming Yu; Chengqing Yu; Chao Chen; Haiping Wu (Adv. Eng. Informatics, 2020)

A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning. - Weiqiu Jin; Shuqin Dong; Chengqing Yu; Qingquan Luo (Comput. Biol. Medicine, 2022)

A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network. - Xiwei Mi; Chengqing Yu; Xinwei Liu; Guangxi Yan; Fuhao Yu; Pan Shang (Digit. Signal Process., 2022)

A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network. - Pan Shang; Xinwei Liu; Chengqing Yu; Guangxi Yan; Qingqing Xiang; Xiwei Mi (Digit. Signal Process., 2022)

A new crude oil futures forecasting method based on fusing quadratic forecasting with residual forecasting. - Mengshuai Su; Hui Liu 023; Chengqing Yu; Zhu Duan (Digit. Signal Process., 2022)

Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. - Yuan Wang 037; Zezhi Shao; Tao Sun 011; Chengqing Yu; Yongjun Xu 001; Fei Wang 014 (CIKM, 2023)

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. - Chengqing Yu; Fei Wang 014; Zezhi Shao; Tao Sun 011; Lin Wu 006; Yongjun Xu 001 (CIKM, 2023)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; Xueqi Cheng (CoRR, 2023)

Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China. - Chengqing Yu; Guangxi Yan; Chengming Yu; Xiwei Mi (Appl. Soft Comput., 2023)

Online Policy Distillation with Decision-Attention. - Xinqiang Yu; Chuanguang Yang; Chengqing Yu; Libo Huang; Zhulin An; Yongjun Xu 001 (IJCNN, 2024)

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. - Chengqing Yu; Fei Wang 014; Zezhi Shao; Tangwen Qian; Zhao Zhang 011; Wei Wei 002; Yongjun Xu 001 (KDD, 2024)

LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting. - Yisong Fu; Fei Wang 014; Zezhi Shao; Chengqing Yu; Yujie Li 008; Zhao Chen 007; Zhulin An; Yongjun Xu 001 (CoRR, 2024)

WGformer: A Weibull-Gaussian Informer based model for wind speed prediction. - Ziyi Shi; Jia Li; Zheyuan Jiang; Huang Li; Chengqing Yu; Xiwei Mi (Eng. Appl. Artif. Intell., 2024)

Semi-supervised anomaly detection with contamination-resilience and incremental training. - Liheng Yuan; Fanghua Ye 001; Heng Li 008; Chenhao Zhang; Cuiying Gao; Chengqing Yu; Wei Yuan 001; Xinge You (Eng. Appl. Artif. Intell., 2024)

MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction. - Chengqing Yu; Guangxi Yan; Chengming Yu; Xinwei Liu; Xiwei Mi (Inf. Sci., 2024)

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition. - Chuanguang Yang; Xinqiang Yu; Han Yang; Zhulin An; Chengqing Yu; Libo Huang; Yongjun Xu 001 (AAAI, 2025)

MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction. - Chengqing Yu; Fei Wang 014; Yilun Wang; Zezhi Shao; Tao Sun 011; Di Yao 001; Yongjun Xu 001 (Inf. Fusion, 2025)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Tao Sun 011; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; et al. (IEEE Trans. Knowl. Data Eng., 2025)

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. - Zezhi Shao; Yujie Li 008; Fei Wang 014; Chengqing Yu; Yisong Fu; Tangwen Qian; Bin Xu; Boyu Diao; Yongjun Xu 001; Xueqi Cheng (CoRR, 2025)

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. - Chengqing Yu; Fei Wang 014; Chuanguang Yang; Zezhi Shao; Tao Sun 011; Tangwen Qian; Wei Wei 002; Zhulin An; Yongjun Xu 001 (CoRR, 2025)

GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values. - Chengqing Yu; Fei Wang 014; Zezhi Shao; Tangwen Qian; Zhao Zhang 011; Wei Wei 002; Zhulin An; Qi Wang 025; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2025)