New loop pairing criterion based on interaction and integrity considerations. - Lingjian Ye; Zhi-Huan Song (J. Zhejiang Univ. Sci. C, 2010)

Branch and bound method for regression-based controlled variable selection. - Vinay Kariwala; Lingjian Ye; Yi Cao (Comput. Chem. Eng., 2013)

Impact analysis of sampling numbers on the method of snapshots. - Hongwei Guan; Lingjian Ye; Xiushui Ma; Zhihuan Song (J. Comput. Methods Sci. Eng., 2015)

Distance calculation between photovoltaic arrays fixed on sloping ground. - Xiushui Ma; Guang-Hui Yao; Lingjian Ye; Xiongfei Zhi; Shuming Zhang (J. Comput. Methods Sci. Eng., 2015)

Retrofit self-optimizing control of Tennessee Eastman process. - Lingjian Ye; Yi Cao; Xiaofeng Yuan; Zhihuan Song (ICIT, 2016)

Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation. - Lingjian Ye; Yi Cao; Xiaofeng Yuan; Zhihuan Song (IEEE Trans. Ind. Electron., 2017)

Dynamic self-optimizing control for unconstrained batch processes. - Lingjian Ye; Sigurd Skogestad (Comput. Chem. Eng., 2018)

Obstacle Avoidance with Reinforcement Learning and Adaptive Resonance Theory. - Lingjian Ye; Yimin Zhou 001 (ROBIO, 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)

Estimation-Based Quadratic Iterative Learning Control for Trajectory Tracking of Robotic Manipulator With Uncertain Parameters. - Minfeng Zhu 002; Lingjian Ye; Xiushui Ma (IEEE Access, 2020)

Random Network Transmission and Countermeasures in Containing Global Spread of COVID-19-Alike Pandemic: A Hybrid Modelling Approach. - Yimin Zhou 001; Jun Li 096; Lingjian Ye; Zuguo Chen; Qingsong Luo; Xiangdong Wu; Haiyang Ni (Complex., 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)

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

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process. - Chenliang Liu; Kai Wang 024; Lingjian Ye; Yalin Wang 003; Xiaofeng Yuan (Inf. Sci., 2021)

Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes. - Xiaofeng Yuan; Lu Feng; Kai Wang 024; Yalin Wang 003; Lingjian Ye (IEEE Trans. Instrum. Meas., 2021)

Global self-optimizing control with active-set changes: A polynomial chaos approach. - Lingjian Ye; Yi Cao 002; Shuanghua Yang (Comput. Chem. Eng., 2022)

Real-Time Path Planning for Robot Using OP-PRM in Complex Dynamic Environment. - Lingjian Ye; Jinbao Chen; Yimin Zhou 001 (Frontiers Neurorobotics, 2022)

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)

Lagrange-Based Global Self-Optimizing Control for Constraint Activeness Varying Processes. - Hongxin Su; Yi Cao 002; Shuang-Hua Yang; Lingjian Ye (IEEE Access, 2023)

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)

Path Planning of the Swarm Unmanned Aerial Vehicles in the Constrained Environment: A Survey. - Yimin Zhou 001; Lingjian Ye; Xueyi He (ROBIO, 2024)

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)

Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development. - Junhua Zheng; Lingjian Ye; Zhiqiang Ge (Expert Syst. Appl., 2024)

Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes. - Chen Ou; Hongqiu Zhu; Yuri A. W. Shardt; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 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)

Stacked Dual-Guided Autoencoder: A Scalable Deep Latent Variable Model for Semi-Supervised Industrial Soft Sensing. - Zeyu Yang; Tingting Hu; Le Yao; Lingjian Ye; Yi Qiu; Shuxin Du (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)

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)

Cross-Subject Brain-Computer Interfaces with Joint Distribution Alignment. - Xianghong Zhao; Longhua Ma; Weiming Cai; Bin Lian; Jialin Cui; Lingjian Ye (J. Circuits Syst. Comput., 2024)

Adversarial Weight Prediction Networks for Defense of Industrial FDC Systems. - Zhenqin Yin; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 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)

AKGNN: When Adaptive Graph Neural Network Meets Kolmogorov-Arnold Network for Industrial Soft Sensors. - Zeyu Yang; Longying Mao; Lingjian Ye; Yiran Ma; Zhihuan Song; Zhichao Chen 001 (IEEE Trans. Instrum. Meas., 2025)

Deep Latent Variable Predictive Modeling With Online Bayesian Soft Attention Mechanism. - Junhua Zheng; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2025)

A Novel Multiscale Gated Structure Model for Soft Sensing of Nonstationary Process With Randomly Missing Data. - Yun Wang; Zhangjie Guan; Yuchen He; Lijuan Qian; Jiusun Zeng; Jun Wang; Lingjian Ye (IEEE Trans. Ind. Informatics, 2025)

A Difference Metric Attention With Position Distance-Based Weighting for Transformer in Data Sequence Modeling of Industrial Processes. - Ziyi Yang; Kai Wang 024; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2025)

Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors. - Chen Ou; Hongqiu Zhu; Yuri A. W. Shardt; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Co-Training Partial Least Squares Model for Semi-Supervised Industrial Soft Sensing. - Junhua Zheng; Le Zhou; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Swarm Learning for Secure and Effective Industrial Federated Big Data Analytics. - Xiaoyu Jiang; Yubin Cheng; Zhihuan Song; Xiaoguang Ma; Lingjian Ye; Zhiqiang Ge (IEEE Trans. Reliab., 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)