JITL based local monitoring method for transitions of multiphase batch processes. - Feifan Shen; Zhihuan Song; Zhiqiang Ge (ACC, 2014)

Review of Service Restoration Methods in Distribution Networks. - Feifan Shen; Qiuwei Wu; Shaojun Huang; Juan Camilo Lopez; Canbing Li; Bin Zhou 005 (ISGT Europe, 2018)

Multiphase and Multimode Monitoring of Batch Processes Based on Density Peak Clustering and Just-in-time Learning. - Saite Fan; Feifan Shen; Zhihuan Song (CAA SAFEPROCESS, 2019)

Distributed Service Restoration of Active Electrical Distribution Systems using ADMM. - Juan Camilo López; Marcos J. Rider; Feifan Shen; Qiuwei Wu (ISGT, 2019)

Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power. - Yang-Wu Shen; Jin-Rong Yuan; Feifan Shen; Jia-Zhu Xu; Chen-Kun Li; Ding Wang (Complex., 2019)

A Global Solution Method for Decentralized Multi-Area SCUC and Savings Allocation Based on MILP Value Functions. - Xiaodong Zheng; Haoyong Chen; Yan Xu 005; Feifan Shen; Zipeng Liang (CoRR, 2019)

Comprehensive Congestion Management for Distribution Networks Based on Dynamic Tariff, Reconfiguration, and Re-Profiling Product. - Feifan Shen; Shaojun Huang; Qiuwei Wu; Sami Repo; Yan Xu 005; Jacob Østergaard (IEEE Trans. Smart Grid, 2019)

LSTM Soft Sensor Development of Batch Processes With Multivariate Trajectory-Based Ensemble Just-in-Time Learning. - Feifan Shen; Jiaqi Zheng 002; Lingjian Ye; Xiushui Ma (IEEE Access, 2020)

Online local modeling and prediction of batch process trajectories using just-in-time learning and LSTM neural network. - Feifan Shen; Jiaqi Zheng 002; Lingjian Ye; Nael H. El-Farra (J. Comput. Methods Sci. Eng., 2020)

Distributed Risk-Limiting Load Restoration in Unbalanced Distribution Systems With Networked Microgrids. - Feifan Shen; Qiuwei Wu; Jin Zhao; Wei Wei 007; Nikos D. Hatziargyriou; Feng Liu 014 (IEEE Trans. Smart Grid, 2020)

Improved Mahalanobis Distance Based JITL-LSTM Soft Sensor for Multiphase Batch Processes. - Jiaqi Zheng 002; Feifan Shen; Lingjian Ye (IEEE Access, 2021)

Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis. - Jiaxin Yu; Lingjian Ye; Le Zhou; Zeyu Yang; Feifan Shen; Zhihuan Song (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Dynamic Modeling and Sensitivity Analysis for an MEA-Based CO2 Capture Absorber. - Hongwei Guan; Lingjian Ye; Yurun Wang; Feifan Shen; Yuchen He (Intell. Autom. Soft Comput., 2023)

Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development. - Yurun Wang; Yi Huang; Dongsheng Chen; Longyan Wang; Lingjian Ye; Feifan Shen (IEEE Access, 2024)

Data Augmentation Using Time Conditional Variational Autoencoder for Soft Sensor of Industrial Processes With Limited Data. - Jiayang Wu; Feifan Shen; Lingjian Ye (IEEE Trans. Instrum. Meas., 2024)

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. - Xiaofeng Yuan; Yichen Wang; Chen Wang 018; Lingjian Ye; Kai Wang 024; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Feifan Shen (IEEE Trans. Instrum. Meas., 2024)

Equivalent Three-Vector-Based Model Predictive Control With Duty-Cycle Reconstruction for PMSM. - Xuan Wu 005; Yifeng Zhang; Feifan Shen; Meizhou Yang; Ting Wu 006; Shoudao Huang; Hesong Cui (IEEE Trans. Ind. Electron., 2024)

Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry. - Xiaofeng Yuan; Nuo Xu; Lingjian Ye; Kai Wang 024; Feifan Shen; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2024)

Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. - Xiaofeng Yuan; Lingfeng Huang; Lingjian Ye; Yalin Wang 003; Kai Wang 024; Chunhua Yang 001; Weihua Gui 001; Feifan Shen (IEEE Trans. Cybern., 2024)

Robust Representation Learning for Power System Short-Term Voltage Stability Assessment Under Diverse Data Loss Conditions. - Lipeng Zhu; Weijia Wen; Yinpeng Qu; Feifan Shen; Jiayong Li; Yue Song; Tao Liu 012 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Transactive Energy-Based Sequential Load Restoration of Distribution Systems With Networked Microgrids Under Uncertainty. - Feifan Shen; Xiaodong Zheng; Mingcheng Lyu; Sheng Huang; Qiuwei Wu; Yangwu Shen; Pengda Wang 002; Yun Zhou (IEEE Trans. Smart Grid, 2024)

Design of enhanced two-dimensional self-optimizing control system for batch process. - Lingjian Ye; Zeyu Yang; Feifan Shen; Xiaofeng Yuan (Comput. Chem. Eng., 2025)

A knowledge-refined hybrid graph model for quality prediction of industrial processes. - Yang Wang; Feifan Shen; Lingjian Ye (Eng. Appl. Artif. Intell., 2025)

Semantic segmentation model based on edge information for rock structural surface traces detection. - Xiaofeng Yuan; Dun Wu; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Shuqiao Cheng; Lingjian Ye; Feifan Shen (Eng. Appl. Artif. Intell., 2025)

LightM-ConvKNet: An Efficient Deep Learning Framework for Multisensor Industrial Fault Diagnosis Under Cross-Operating Conditions. - Hang Xu; Jiaqi Zheng 002; Feifan Shen; Lingjian Ye; Zhuoyi Chen (IEEE Trans. Instrum. Meas., 2025)

Non-Iterative Sensitivity-Based Switch Exchange Method for Distribution Network Reconfiguration. - Shuaifeng Wang; Juan Wei; Sheng Huang; Hesong Cui; Xueting Cheng; Kuichao Ma; Guohang Huang; Feifan Shen; Yuxiang Li (IEEE Trans. Smart Grid, 2025)

Dynamically Maximizing Power Production of Wind Farm Through Accelerated Distributed Control. - Pengda Wang 002; Qiaoqiao Luo; Guan Bai; Sheng Huang; Xinkai Zhu; Feifan Shen; Juan Wei (IEEE Trans. Ind. Informatics, 2025)

Gaussian-based Interval-Aware Transformer With Interval Embedding for Data Sequence Modeling With Irregular Sampling Frequency in Industrial Processes. - Ziyi Yang; Kai Wang 024; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Lingjian Ye; Feifan Shen (IEEE Trans. Ind. Informatics, 2025)