Lingjian Ye

Orcid: 0000-0001-8732-593X

According to our database¹, Lingjian Ye authored at least 32 papers between 2010 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2025

Deep Latent Variable Predictive Modeling With Online Bayesian Soft Attention Mechanism.

[BibT_eX]

[DOI]

Junhua Zheng

Lingjian Ye

Zhiqiang Ge

IEEE Trans. Ind. Informatics, January, 2025

Semantic segmentation model based on edge information for rock structural surface traces detection.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

A knowledge-refined hybrid graph model for quality prediction of industrial processes.

[BibT_eX]

[DOI]

Yang Wang

Feifan Shen

Lingjian Ye

Eng. Appl. Artif. Intell., 2025

2024

Adversarial Weight Prediction Networks for Defense of Industrial FDC Systems.

[BibT_eX]

[DOI]

Zhenqin Yin

Lingjian Ye

Zhiqiang Ge

IEEE Trans. Ind. Informatics, November, 2024

Cross-Subject Brain-Computer Interfaces with Joint Distribution Alignment.

[BibT_eX]

[DOI]

J. Circuits Syst. Comput., August, 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Cybern., May, 2024

Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, April, 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Stacked Dual-Guided Autoencoder: A Scalable Deep Latent Variable Model for Semi-Supervised Industrial Soft Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Data Augmentation Using Time Conditional Variational Autoencoder for Soft Sensor of Industrial Processes With Limited Data.

[BibT_eX]

[DOI]

Jiayang Wu

Feifan Shen

Lingjian Ye

IEEE Trans. Instrum. Meas., 2024

Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Access, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Access, 2023

2022

Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2022

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

[BibT_eX]

[DOI]

Lingjian Ye

Jinbao Chen

Yimin Zhou

Frontiers Neurorobotics, 2022

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

[BibT_eX]

[DOI]

Lingjian Ye

Yi Cao

Shuanghua Yang

Comput. Chem. Eng., 2022

2021

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

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

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

[BibT_eX]

[DOI]

Inf. Sci., 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Comput. Methods Sci. Eng., 2020

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

[BibT_eX]

[DOI]

Complex., 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Obstacle Avoidance with Reinforcement Learning and Adaptive Resonance Theory.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Lingjian Ye

Sigurd Skogestad

Comput. Chem. Eng., 2018

2017

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

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2017

2016

Retrofit self-optimizing control of Tennessee Eastman process.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Industrial Technology, 2016

2015

Distance calculation between photovoltaic arrays fixed on sloping ground.

[BibT_eX]

[DOI]

J. Comput. Methods Sci. Eng., 2015

Impact analysis of sampling numbers on the method of snapshots.

[BibT_eX]

[DOI]

J. Comput. Methods Sci. Eng., 2015

2013

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

[BibT_eX]

[DOI]

Vinay Kariwala

Lingjian Ye

Yi Cao

Comput. Chem. Eng., 2013

2010

New loop pairing criterion based on interaction and integrity considerations.

[BibT_eX]

[DOI]

Lingjian Ye

Zhi-Huan Song

J. Zhejiang Univ. Sci. C, 2010

Lingjian Ye

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