Lingjian Ye

According to our database, Lingjian Ye authored at least 29 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Adversarial Weight Prediction Networks for Defense of Industrial FDC Systems.

Zhenqin Yin, Lingjian Ye, Zhiqiang Ge

IEEE Trans. Ind. Informatics, November, 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., August, 2024

Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network.

Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, Yalin Wang, Kai Wang, Chunhua Yang, Weihua Gui, Feifan Shen

IEEE Trans. Cybern., May, 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, Feifan Shen, Yalin Wang, Chunhua Yang, Weihua Gui

IEEE Trans. Ind. Informatics, April, 2024

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling.

Xiaofeng Yuan, Yichen Wang, Chen Wang, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen

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

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

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, Chunhua Yang, Weihua Gui

IEEE Trans. Instrum. Meas., 2024

Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development.

Junhua Zheng, Lingjian Ye, Zhiqiang Ge

Expert Syst. Appl., 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

2023

Lagrange-Based Global Self-Optimizing Control for Constraint Activeness Varying Processes.

Hongxin Su, Yi Cao, Shuang-Hua Yang, Lingjian Ye

IEEE Access, 2023

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

Real-Time Path Planning for Robot Using OP-PRM in Complex Dynamic Environment.

Lingjian Ye, Jinbao Chen, Yimin Zhou

Frontiers Neurorobotics, 2022

Global self-optimizing control with active-set changes: A polynomial chaos approach.

Lingjian Ye, Yi Cao, Shuanghua Yang

Comput. Chem. Eng., 2022

2021

Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes.

Xiaofeng Yuan, Lu Feng, Kai Wang, Yalin Wang, Lingjian Ye

IEEE Trans. Instrum. Meas., 2021

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process.

Chenliang Liu, Kai Wang, Lingjian Ye, Yalin Wang, Xiaofeng Yuan

Inf. Sci., 2021

Improved Mahalanobis Distance Based JITL-LSTM Soft Sensor for Multiphase Batch Processes.

Jiaqi Zheng, Feifan Shen, Lingjian Ye

IEEE Access, 2021

2020

Online local modeling and prediction of batch process trajectories using just-in-time learning and LSTM neural network.

Feifan Shen, Jiaqi Zheng, Lingjian Ye, Nael H. El-Farra

J. Comput. Methods Sci. Eng., 2020

Random Network Transmission and Countermeasures in Containing Global Spread of COVID-19-Alike Pandemic: A Hybrid Modelling Approach.

Yimin Zhou, Jun Li, Lingjian Ye, Zuguo Chen, Qingsong Luo, Xiangdong Wu, Haiyang Ni

Complex., 2020

Estimation-Based Quadratic Iterative Learning Control for Trajectory Tracking of Robotic Manipulator With Uncertain Parameters.

Minfeng Zhu, Lingjian Ye, Xiushui Ma

IEEE Access, 2020

LSTM Soft Sensor Development of Batch Processes With Multivariate Trajectory-Based Ensemble Just-in-Time Learning.

Feifan Shen, Jiaqi Zheng, Lingjian Ye, Xiushui Ma

IEEE Access, 2020

2019

Obstacle Avoidance with Reinforcement Learning and Adaptive Resonance Theory.

Lingjian Ye, Yimin Zhou

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018

Dynamic self-optimizing control for unconstrained batch processes.

Lingjian Ye, Sigurd Skogestad

Comput. Chem. Eng., 2018

2017

Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation.

Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song

IEEE Trans. Ind. Electron., 2017

2016

Retrofit self-optimizing control of Tennessee Eastman process.

Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song

Proceedings of the IEEE International Conference on Industrial Technology, 2016

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

Impact analysis of sampling numbers on the method of snapshots.

Hongwei Guan, Lingjian Ye, Xiushui Ma, Zhihuan Song

J. Comput. Methods Sci. Eng., 2015

2013

Branch and bound method for regression-based controlled variable selection.

Vinay Kariwala, Lingjian Ye, Yi Cao

Comput. Chem. Eng., 2013

2010

New loop pairing criterion based on interaction and integrity considerations.

Lingjian Ye, Zhi-Huan Song

J. Zhejiang Univ. Sci. C, 2010