Chengqing Yu

37 papers A* 3A 3B 2Journal 27Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A new feature reconstruction method and multilabel ensemble strategy for non-intrusive load recognition.
Knowl. Based Syst.
Chengming Yu, Hui Liu, Chengqing Yu, Guangxi Yan, Zijie Cao
2026 A* conf
APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift.
AAAI
Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang
2026 J jnl
Teacher-Guided Student Self-Knowledge Distillation Using Diffusion Model.
CoRR
Yu Wang, Chuanguang Yang, Zhulin An, Weilun Feng, Jiarui Zhao, Chengqing Yu, Libo Huang, Boyu Diao, Yongjun Xu
2025 J jnl
APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift.
CoRR
Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang
2025 J jnl
ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting.
CoRR
Fei Wang, Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Zhulin An, Yongjun Xu, Xueqi Cheng
2025 — conf
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.
KDD (2)
Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025 J jnl
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.
CoRR
Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025 J jnl
Distributed Traffic Signal Control Model for Accurate Policy Learning Under Dynamic Traffic Flow: A Graph Forecast-State Vector Driven Deep Reinforcement Learning Framework.
IEEE Trans. Intell. Transp. Syst.
Fuhao Yu, Xiwei Mi, Chengqing Yu, Yuanting Jiang
2025 J jnl
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
IEEE Trans. Knowl. Data Eng.
Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng
2025 J jnl
GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values.
IEEE Trans. Knowl. Data Eng.
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Zhulin An, Qi Wang, Yongjun Xu
2025 B conf
Heterogeneity in Multivariate Time Series: Comprehensive Analysis and Adaptive Modeling.
SSTD
Zezhi Shao, Chengqing Yu, Fei Wang
2025 J jnl
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction.
Inf. Fusion
Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu
2025 — conf
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates.
KDD (2)
Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu
2025 J jnl
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates.
CoRR
Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu
2025 A* conf
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition.
AAAI
Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu
2025 J jnl
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition.
CoRR
Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu
2025 A conf
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach.
CIKM
Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2025 J jnl
STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach.
CoRR
Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2025 J jnl
Selective Learning for Deep Time Series Forecasting.
CoRR
Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Zhulin An, Qi Wang, Yongjun Xu, Fei Wang
2024 A* conf
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing.
KDD
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024 J jnl
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing.
CoRR
Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024 J jnl
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting.
CoRR
Yisong Fu, Fei Wang, Zezhi Shao, Chengqing Yu, Yujie Li, Zhao Chen, Zhulin An, Yongjun Xu
2024 J jnl
MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction.
Inf. Sci.
Chengqing Yu, Guangxi Yan, Chengming Yu, Xinwei Liu, Xiwei Mi
2024 B conf
Online Policy Distillation with Decision-Attention.
IJCNN
Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu
2024 J jnl
Online Policy Distillation with Decision-Attention.
CoRR
Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu
2024 J jnl
Semi-supervised anomaly detection with contamination-resilience and incremental training.
Eng. Appl. Artif. Intell.
Liheng Yuan, Fanghua Ye, Heng Li, Chenhao Zhang, Cuiying Gao, Chengqing Yu, Wei Yuan, Xinge You
2024 J jnl
WGformer: A Weibull-Gaussian Informer based model for wind speed prediction.
Eng. Appl. Artif. Intell.
Ziyi Shi, Jia Li, Zheyuan Jiang, Huang Li, Chengqing Yu, Xiwei Mi
2023 J jnl
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China.
Appl. Soft Comput.
Chengqing Yu, Guangxi Yan, Chengming Yu, Xiwei Mi
2023 A conf
Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting.
CIKM
Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang
2023 A conf
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction.
CIKM
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
2023 J jnl
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction.
CoRR
Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
2023 J jnl
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis.
CoRR
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
2022 J jnl
A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning.
Comput. Biol. Medicine
Weiqiu Jin, Shuqin Dong, Chengqing Yu, Qingquan Luo
2022 J jnl
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network.
Digit. Signal Process.
Xiwei Mi, Chengqing Yu, Xinwei Liu, Guangxi Yan, Fuhao Yu, Pan Shang
2022 J jnl
A new crude oil futures forecasting method based on fusing quadratic forecasting with residual forecasting.
Digit. Signal Process.
Mengshuai Su, Hui Liu, Chengqing Yu, Zhu Duan
2022 J jnl
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network.
Digit. Signal Process.
Pan Shang, Xinwei Liu, Chengqing Yu, Guangxi Yan, Qingqing Xiang, Xiwei Mi
2020 J jnl
A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network.
Adv. Eng. Informatics
Hui Liu, Chengming Yu, Chengqing Yu, Chao Chen, Haiping Wu