Yongjian Wang

发表

Industrial time-series modeling via adapted receptive field temporal convolution networks integrating regularly updated multi-region operations based on PCA

Yongjian Wang, Hongguang Li, Ke Yang, 2020 .

A temporal clustering method fusing deep convolutional autoencoders and dimensionality reduction methods and its application in air quality visualization

Yongjian Wang, Zhenyu Yu, Zhe Wang, 2022, Chemometrics and Intelligent Laboratory Systems.

Remaining useful life prediction via long‐short time memory neural network with novel partial least squares and genetic algorithm

Ke Yang, Yong‐jian Wang, Yu‐nan Yao, 2020, Qual. Reliab. Eng. Int..

Operational trend prediction and classification for chemical processes: A novel convolutional neural network method based on symbolic hierarchical clustering

Panagiotis D. Christofides, Yongjian Wang, Hongguang Li, 2020 .

An adaptive mode convolutional neural network based on bar-shaped structures and its operation modeling to complex industrial processes

Yongjian Wang, Hongguang Li, Chu Qi, 2020 .

Industrial process time-series modeling based on adapted receptive field temporal convolution networks concerning multi-region operations

Yongjian Wang, Hongguang Li, Hong-guang Li, 2020, Comput. Chem. Eng..

DTDR-ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models

Yongjian Wang, Hongguang Li, Bo Yang, 2021, Knowl. Based Syst..

Computational fluid dynamics-based in-situ sensor analytics of direct metal laser solidification process using machine learning

Panagiotis D. Christofides, Yongjian Wang, Yichi Zhang, 2020, Comput. Chem. Eng..

An Improved Bar-Shaped Sliding Window CNN Tailored to Industrial Process Historical Data with Applications in Chemical Operational Optimizations

Yongjian Wang, Hongguang Li, Jingwen Huang, 2019, Industrial & Engineering Chemistry Research.

A novel intelligent modeling framework integrating convolutional neural network with an adaptive time-series window and its application to industrial process operational optimization

Yongjian Wang, Hongguang Li, Hong-guang Li, 2018, Chemometrics and Intelligent Laboratory Systems.

An Adaptive Optimization Approach Based on the Human factors and Its Application to Process Alarm Thresholds

Bo Yang, Hongguang Li, Yongjian Wang, 2019, 2019 12th Asian Control Conference (ASCC).

A novel bidirectional DiPLS based LSTM algorithm and its application in industrial process time series prediction

Yongjian Wang, De Bao, S. Qin, 2023, Chemometrics and Intelligent Laboratory Systems.

Attention-mechanism based DiPLS-LSTM and its application in industrial process time series big data prediction

S. Qin, Yongjian Wang, Cheng Qian, 2023, Comput. Chem. Eng..

Hybrid cycle reservoir with jumps for multivariate time series prediction: industrial application in oil drilling process

Hongguang Li, Yongjian Wang, Chu Qi, 2019, Measurement Science and Technology.

Adaptive time window convolutional neural networks concerning multiple operation modes with applications in energy efficiency predictions

Hong-guang Li, Yongjian Wang, Chu Qi, 2021, Energy.

Modeling of furnace operation with a new adaptive data echo state network method integrating block recursive partial least squares

Yongjian Wang, Hongguang Li, Bo Yang, 2020 .

Furnace thermal efficiency modeling using an improved convolution neural network based on parameter-adaptive mnemonic enhancement optimization

Hongguang Li, Chong Su, Jingwen Huang, 2019, Applied Thermal Engineering.