E-LIB Suche - Ergebnisse für: Lingjian Ye

1

Neighborhood preserving regression embedding based data reg..:

Aimin, Miao ; Peng, Li ; Lingjian, Ye
Chemometrics and Intelligent Laboratory Systems. 147 (2015) - p. 86-94 , 2015

Link: https://doi.org/10.1016/..

2

Laplacian regularization of linear regression model for sem..:

Zheng, Junhua ; Ye, Lingjian ; Ge, Zhiqiang
Expert Systems with Applications. 254 (2024) - p. 124459 , 2024

Link: https://doi.org/10.1016/..

3

A Supervised Stacked Dual-Guided Autoencoder with Deep Lear..:

, In: 2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS),

Hu, Tingting ; Yang, Zeyu ; Ye, Lingjian... - p. 1982-1987 , 2024

Link: https://doi.org/10.1109/..

4

A Bidirectional Attention-Based LSTM Model for Multi-Step A..:

, In: 2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS),

Huang, Yi ; Wang, Longyan ; Ye, Lingjian. - p. 1964-1969 , 2024

Link: https://doi.org/10.1109/..

5

Quality Prediction Modeling for Industrial Processes Using ..:

Yuan, Xiaofeng ; Huang, Lingfeng ; Ye, Lingjian...
IEEE Transactions on Cybernetics. 54 (2024) 5 - p. 2696-2707 , 2024

Link: https://doi.org/10.1109/..

6

Hierarchical Self-Attention Network for Industrial Data Ser..:

Yuan, Xiaofeng ; Jia, Zhenzhen ; Xu, Zijian...
IEEE Transactions on Neural Networks and Learning Systems. , 2024

Link: https://doi.org/10.1109/..

7

Attention-Based Interval Aided Networks for Data Modeling o..:

Yuan, Xiaofeng ; Xu, Nuo ; Ye, Lingjian...
IEEE Transactions on Industrial Informatics. 20 (2024) 4 - p. 5253-5262 , 2024

Link: https://doi.org/10.1109/..

8

Semi-supervised process monitoring based on self-training P..:

Zheng, Junhua ; Ye, Lingjian ; Ge, Zhiqiang
Process Safety and Environmental Protection. 187 (2024) - p. 1311-1321 , 2024

Link: https://doi.org/10.1016/..

9

Prox-STA-LSTM: A Sparse Representation for the Attention-Ba..:

Wang, Yurun ; Huang, Yi ; Chen, Dongsheng...
IEEE Access. 12 (2024) - p. 80633-80645 , 2024

Link: https://doi.org/10.1109/..

10

Quality-Driven Regularization for Deep Learning Networks an..:

Ou, Chen ; Zhu, Hongqiu ; Shardt, Yuri A. W....
IEEE Transactions on Neural Networks and Learning Systems. , 2024

Link: https://doi.org/10.1109/..

11

Variable Correlation Analysis-Based Convolutional Neural Ne..:

Yuan, Xiaofeng ; Wang, Yichen ; Wang, Chen...
IEEE Transactions on Instrumentation and Measurement. 73 (2024) - p. 1-10 , 2024

Link: https://doi.org/10.1109/..

12

Memory-Adaptive Supervised LSTM Networks for Deep Soft Sens..:

Shen, Feifan ; Wu, Jiayang ; Ye, Lingjian.
IEEE Sensors Journal. 24 (2024) 13 - p. 21641-21654 , 2024

Link: https://doi.org/10.1109/..

13

Data Augmentation Using Time Conditional Variational Autoen..:

Wu, Jiayang ; Shen, Feifan ; Ye, Lingjian
IEEE Transactions on Instrumentation and Measurement. 73 (2024) - p. 1-14 , 2024

Link: https://doi.org/10.1109/..

14

Multiscale Dynamic Feature Learning for Quality Prediction ..:

Yuan, Xiaofeng ; Huang, Lingfeng ; Li, Lin...
IEEE Sensors Journal. 23 (2023) 17 - p. 19561-19570 , 2023

Link: https://doi.org/10.1109/..

15

Industrial Soft Sensor Prediction based on Multi-model Inte..:

, In: 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS),

Yuan, Xiaofeng ; Jia, Zhenzhen ; Ye, Lingjian.. - p. 1889-1894 , 2023

Link: https://doi.org/10.1109/..