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Lingjian Ye
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2020 – today
- 2024
- [j27]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) - [j26]Junhua Zheng
Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development. Expert Syst. Appl. 254: 124459 (2024) - [j25]Xianghong Zhao
Cross-Subject Brain-Computer Interfaces with Joint Distribution Alignment. J. Circuits Syst. Comput. 33(12): 2450205:1-2450205:18 (2024) - [j24]Xiaofeng Yuan
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. IEEE Trans. Cybern. 54(5): 2696-2707 (2024) - [j23]Xiaofeng Yuan
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) - [j22]Zhenqin Yin
Adversarial Weight Prediction Networks for Defense of Industrial FDC Systems. IEEE Trans. Ind. Informatics 20(11): 13201-13211 (2024) - [j21]Chen Ou
Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j20]Jiayang Wu
Data Augmentation Using Time Conditional Variational Autoencoder for Soft Sensor of Industrial Processes With Limited Data. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j19]Zeyu Yang
Stacked Dual-Guided Autoencoder: A Scalable Deep Latent Variable Model for Semi-Supervised Industrial Soft Sensing. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j18]Xiaofeng Yuan, Yichen Wang
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - 2023
- [j17]Hongxin Su, Yi Cao
Lagrange-Based Global Self-Optimizing Control for Constraint Activeness Varying Processes. IEEE Access 11: 44600-44613 (2023) - 2022
- [j16]Lingjian Ye, Yi Cao, Shuanghua Yang:
Global self-optimizing control with active-set changes: A polynomial chaos approach. Comput. Chem. Eng. 159: 107662 (2022) - [j15]Lingjian Ye, Jinbao Chen, Yimin Zhou:
Real-Time Path Planning for Robot Using OP-PRM in Complex Dynamic Environment. Frontiers Neurorobotics 16: 910859 (2022) - [j14]Jiaxin Yu
Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis. IEEE Trans. Syst. Man Cybern. Syst. 52(4): 2412-2422 (2022) - 2021
- [j13]Jiaqi Zheng
Improved Mahalanobis Distance Based JITL-LSTM Soft Sensor for Multiphase Batch Processes. IEEE Access 9: 72172-72182 (2021) - [j12]Chenliang Liu
Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process. Inf. Sci. 567: 42-57 (2021) - [j11]Xiaofeng Yuan
Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2020
- [j10]Minfeng Zhu
Estimation-Based Quadratic Iterative Learning Control for Trajectory Tracking of Robotic Manipulator With Uncertain Parameters. IEEE Access 8: 43122-43133 (2020) - [j9]Feifan Shen
LSTM Soft Sensor Development of Batch Processes With Multivariate Trajectory-Based Ensemble Just-in-Time Learning. IEEE Access 8: 73855-73864 (2020) - [j8]Yimin Zhou
Random Network Transmission and Countermeasures in Containing Global Spread of COVID-19-Alike Pandemic: A Hybrid Modelling Approach. Complex. 2020: 6703703:1-6703703:12 (2020) - [j7]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)
2010 – 2019
- 2019
- [c2]Lingjian Ye, Yimin Zhou:
Obstacle Avoidance with Reinforcement Learning and Adaptive Resonance Theory. ROBIO 2019: 1127-1132 - 2018
- [j6]Lingjian Ye
Dynamic self-optimizing control for unconstrained batch processes. Comput. Chem. Eng. 117: 451-468 (2018) - 2017
- [j5]Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song:
Retrofit Self-Optimizing Control: A Step Forward Toward Real Implementation. IEEE Trans. Ind. Electron. 64(6): 4662-4670 (2017) - 2016
- [c1]Lingjian Ye, Yi Cao, Xiaofeng Yuan, Zhihuan Song:
Retrofit self-optimizing control of Tennessee Eastman process. ICIT 2016: 866-871 - 2015
- [j4]Xiushui Ma, Guang-Hui Yao, Lingjian Ye, Xiongfei Zhi, Shuming Zhang:
Distance calculation between photovoltaic arrays fixed on sloping ground. J. Comput. Methods Sci. Eng. 15(1): 107-116 (2015) - [j3]Hongwei Guan, Lingjian Ye, Xiushui Ma, Zhihuan Song:
Impact analysis of sampling numbers on the method of snapshots. J. Comput. Methods Sci. Eng. 15(2): 221-228 (2015) - 2013
- [j2]Vinay Kariwala, Lingjian Ye, Yi Cao:
Branch and bound method for regression-based controlled variable selection. Comput. Chem. Eng. 54: 1-7 (2013) - 2010
- [j1]Lingjian Ye, Zhi-Huan Song:
New loop pairing criterion based on interaction and integrity considerations. J. Zhejiang Univ. Sci. C 11(5): 381-393 (2010)
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