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2020 – today
- 2025
[j17]Yang Wang, Feifan Shen, Lingjian Ye:
A knowledge-refined hybrid graph model for quality prediction of industrial processes. Eng. Appl. Artif. Intell. 139: 109711 (2025)- [j16]Xiaofeng Yuan
, Dun Wu, Yalin Wang, Chunhua Yang, Weihua Gui, Shuqiao Cheng, Lingjian Ye, Feifan Shen:
Semantic segmentation model based on edge information for rock structural surface traces detection. Eng. Appl. Artif. Intell. 140: 109706 (2025) - 2024
- [j15]Yurun Wang, Yi Huang, Dongsheng Chen, Longyan Wang, Lingjian Ye, Feifan Shen:
Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development. IEEE Access 12: 80633-80645 (2024) - [j14]Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, Yalin Wang, Kai Wang, Chunhua Yang, Weihua Gui, Feifan Shen:
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. IEEE Trans. Cybern. 54(5): 2696-2707 (2024) - [j13]Xuan Wu, Yifeng Zhang, Feifan Shen, Meizhou Yang, Ting Wu, Shoudao Huang, Hesong Cui:
Equivalent Three-Vector-Based Model Predictive Control With Duty-Cycle Reconstruction for PMSM. IEEE Trans. Ind. Electron. 71(3): 2395-2404 (2024) - [j12]Xiaofeng Yuan, Nuo Xu, Lingjian Ye, Kai Wang, Feifan Shen, Yalin Wang, Chunhua Yang, Weihua Gui:
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry. IEEE Trans. Ind. Informatics 20(4): 5253-5262 (2024) - [j11]Jiayang Wu, Feifan Shen, Lingjian Ye:
Data Augmentation Using Time Conditional Variational Autoencoder for Soft Sensor of Industrial Processes With Limited Data. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j10]Xiaofeng Yuan, Yichen Wang, Chen Wang, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen:
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j9]Lipeng Zhu, Weijia Wen, Yinpeng Qu, Feifan Shen, Jiayong Li, Yue Song, Tao Liu:
Robust Representation Learning for Power System Short-Term Voltage Stability Assessment Under Diverse Data Loss Conditions. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6035-6047 (2024) - [j8]Feifan Shen, Xiaodong Zheng, Mingcheng Lyu, Sheng Huang, Qiuwei Wu, Yangwu Shen, Pengda Wang, Yun Zhou:
Transactive Energy-Based Sequential Load Restoration of Distribution Systems With Networked Microgrids Under Uncertainty. IEEE Trans. Smart Grid 15(3): 2601-2613 (2024) - 2022
- [j7]Jiaxin Yu, Lingjian Ye, Le Zhou, Zeyu Yang, Feifan Shen, Zhihuan Song:
Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis. IEEE Trans. Syst. Man Cybern. Syst. 52(4): 2412-2422 (2022) - 2021
- [j6]Jiaqi Zheng, Feifan Shen, Lingjian Ye:
Improved Mahalanobis Distance Based JITL-LSTM Soft Sensor for Multiphase Batch Processes. IEEE Access 9: 72172-72182 (2021) - 2020
- [j5]Feifan Shen, Jiaqi Zheng, Lingjian Ye, Xiushui Ma:
LSTM Soft Sensor Development of Batch Processes With Multivariate Trajectory-Based Ensemble Just-in-Time Learning. IEEE Access 8: 73855-73864 (2020) - [j4]Feifan Shen, Jiaqi Zheng, Lingjian Ye, Nael H. El-Farra:
Online local modeling and prediction of batch process trajectories using just-in-time learning and LSTM neural network. J. Comput. Methods Sci. Eng. 20(3): 715-726 (2020) - [j3]Feifan Shen, Qiuwei Wu, Jin Zhao, Wei Wei, Nikos D. Hatziargyriou, Feng Liu:
Distributed Risk-Limiting Load Restoration in Unbalanced Distribution Systems With Networked Microgrids. IEEE Trans. Smart Grid 11(6): 4574-4586 (2020)
2010 – 2019
- 2019
- [j2]Yang-Wu Shen, Jin-Rong Yuan, Feifan Shen, Jia-Zhu Xu, Chen-Kun Li, Ding Wang:
Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power. Complex. 2019: 4358958:1-4358958:13 (2019) - [j1]Feifan Shen, Shaojun Huang, Qiuwei Wu, Sami Repo, Yan Xu, Jacob Østergaard:
Comprehensive Congestion Management for Distribution Networks Based on Dynamic Tariff, Reconfiguration, and Re-Profiling Product. IEEE Trans. Smart Grid 10(5): 4795-4805 (2019) - [c4]Saite Fan, Feifan Shen, Zhihuan Song:
Multiphase and Multimode Monitoring of Batch Processes Based on Density Peak Clustering and Just-in-time Learning. CAA SAFEPROCESS 2019: 263-268 - [c3]Juan Camilo López, Marcos J. Rider, Feifan Shen, Qiuwei Wu:
Distributed Service Restoration of Active Electrical Distribution Systems using ADMM. ISGT 2019: 1-5 - [i1]Xiaodong Zheng, Haoyong Chen, Yan Xu, Feifan Shen, Zipeng Liang:
A Global Solution Method for Decentralized Multi-Area SCUC and Savings Allocation Based on MILP Value Functions. CoRR abs/1906.07126 (2019) - 2018
- [c2]Feifan Shen, Qiuwei Wu, Shaojun Huang, Juan Camilo Lopez, Canbing Li, Bin Zhou:
Review of Service Restoration Methods in Distribution Networks. ISGT Europe 2018: 1-6 - 2014
- [c1]Feifan Shen, Zhihuan Song, Zhiqiang Ge:
JITL based local monitoring method for transitions of multiphase batch processes. ACC 2014: 1957-1962
Coauthor Index
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