Pengyu Song

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Multivariate Time Series

Industrial Process

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Instrum. Meas.

Pattern Recognit.

Publications

Baoxue Li, Pengyu Song, Chunhui Zhao
Fusing consensus knowledge: A federated learning method for fault diagnosis via privacy-preserving reference under domain shift. Inf. Fusion 106 (2024)
Pengyu Song, Chunhui Zhao
Slow Down to Go Better: A Survey on Slow Feature Analysis. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Jiawei Chen, Pengyu Song, Chunhui Zhao
Multi-scale self-supervised representation learning with temporal alignment for multi-rate time series modeling. Pattern Recognit. 145 (2024)
Pengyu Song, Chunhui Zhao, Jinliang Ding, Shunyi Zhao
Multimodal Decoupled Representation With Compatibility Learning for Explicit Nonstationary Process Monitoring. IEEE Trans. Ind. Electron. 71 (7) (2024)
Chang Tian, Pengyu Song, Chunhui Zhao, Jinliang Ding
Structure Feature Extraction for Hierarchical Alarm Flood Classification and Alarm Prediction. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Pengyu Song, Chunhui Zhao, Biao Huang, Jinliang Ding
Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Baoxue Li, Pengyu Song, Chunhui Zhao, Min Xie
Facing spatiotemporal heterogeneity: A unified federated continual learning framework with self-challenge rehearsal for industrial monitoring tasks. Knowl. Based Syst. 289 (2024)
Jiawei Chen, Pengyu Song, Chunhui Zhao, Jinliang Ding
Spatiotemporal Multiscale Correlation Embedding With Process Variable Reorder for Industrial Soft Sensing. IEEE Trans. Instrum. Meas. 72 (2023)
Pengyu Song, Chunhui Zhao, Biao Huang
MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults. Neural Networks 161 (2023)
Pengyu Song, Chunhui Zhao, Biao Huang, Min Wu
Sparse and Time-Varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults. IEEE Trans. Instrum. Meas. 71 (2022)
Pengyu Song, Chunhui Zhao, Biao Huang
SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring. Neurocomputing 488 (2022)
Haoyan Xu, Yida Huang, Ziheng Duan, Jie Feng, Pengyu Song
Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network. CoRR (2020)
Haoyan Xu, Ziheng Duan, Yida Huang, Jie Feng, Anni Ren, Qianru Zhang, Pengyu Song, Xiaoqian Wang
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting. CoRR (2020)