Chun-Pei Yang

发表

A novel adaptive optimization method for deep learning with application to froth floatation monitoring

Xiaojun Zhou, Boyan Ma, Yang Du, 2022, Applied Intelligence.

Oversmoothing Relief Graph Convolutional Network-Based Fault Diagnosis Method With Application to the Rectifier of High-Speed Trains

Tao Peng, Zhi-wen Chen, Jiamin Xu, 2023, IEEE Transactions on Industrial Informatics.

Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction

Xiaofeng Yuan, Yalin Wang, Kai Wang, 2022, IEEE Transactions on Instrumentation and Measurement.

Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes

Xiaofeng Yuan, Yalin Wang, Kai Wang, 2023, Eng. Appl. Artif. Intell..

A Multi-Factor Selection and Fusion Method through the CNN-LSTM Network for Dynamic Price Forecasting

Weiping Liu, Keke Huang, Chun-Pei Yang, 2023, Mathematics.

Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling

Xiaofeng Yuan, Yalin Wang, Kai Wang, 2022, Adv. Eng. Informatics.

Stacked maximal quality-driven autoencoder: Deep feature representation for soft analyzer and its application on industrial processes

Hongqiu Zhu, Junming Chen, Can Zhou, 2022, Inf. Sci..

Rain-Like Layer Removal From Hot-Rolled Steel Strip Based on Attentive Dual Residual Generative Adversarial Network

O. Silvén, Handong He, Chun-Pei Yang, 2023, IEEE Transactions on Instrumentation and Measurement.

TS-LSSVM: Triple sparse least squares support vector machine for residual oxygen concentration detection of encapsulated pharmaceutical vials

Chun-Pei Yang, Qiwu Luo, Jiaojiao Su, 2023, Measurement.

Temperature Field Prediction Model for Zinc Oxide Rotary Volatile Kiln Based on the Fusion of Thermodynamics and Infrared Images

Yonggang Li, Chaobo Zhang, Xiaojun Liang, 2023, IEEE Transactions on Instrumentation and Measurement.

MPA-RNN: A Novel Attention-Based Recurrent Neural Networks for Total Nitrogen Prediction

Yonggang Li, Lijuan Lan, Chun-Pei Yang, 2022, IEEE Transactions on Industrial Informatics.

Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors.

Yuri A. W. Shardt, Xiaofeng Yuan, Hongqiu Zhu, 2022, IEEE transactions on neural networks and learning systems.

BASeg: Boundary aware semantic segmentation for autonomous driving

Baifan Chen, Yuqian Zhao, Chun-Pei Yang, 2022, Neural Networks.

A cascaded modeling approach for comprehensive reaction state perception of a hydrometallurgical reactor

Yonggang Li, Bei Sun, Guoxin Liu, 2023, Engineering Applications of Artificial Intelligence.

Distributed Network Reconstruction Based on Binary Compressed Sensing via ADMM

Zhen Wang, Keke Huang, Chun-Pei Yang, 2023, IEEE Transactions on Network Science and Engineering.

Multi-objective optimization for autonomous driving strategy based on Deep Q Network

Biao Luo, Chun-Pei Yang, Tianmeng Hu, 2021, Discover Artificial Intelligence.

New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer

Xiaofeng Yuan, Wenxuan Zhou, Yalin Wang, 2022, Knowl. Based Syst..

Predictive hierarchical reinforcement learning for path-efficient mapless navigation with moving target

Biao Luo, Chun-Pei Yang, Hanxiao Li, 2023, Neural Networks.

A robust sparse identification method for nonlinear dynamic systems affected by non-stationary noise.

Keke Huang, Chun-Pei Yang, Zhihang Hao, 2023, Chaos.

MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning

Biao Luo, Tingwen Huang, Chun-Pei Yang, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process

W. Gui, Xiaofeng Yuan, Silong Li, 2023, IEEE Transactions on Cybernetics.

Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection

Xiaofeng Yuan, Yalin Wang, Kai Wang, 2023, IEEE Transactions on Industrial Informatics.

Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes

Xiaofeng Yuan, Yalin Wang, Chenliang Liu, 2024, IEEE Transactions on Instrumentation and Measurement.

Semi-Supervised Deep Learning-Based Multi-component Spectral Calibration Modeling for UV-vis and Near-Infrared Spectroscopy without Information Loss.

Yonggang Li, Lijuan Lan, Fei Cheng, 2023, Analytical chemistry.

A spectrum denoising method based on low-rank recovery dictionary learning with its application to chemical oxygen demand detection

Yonggang Li, Chun-Pei Yang, Zesen Wang, 2023, Chemometrics and Intelligent Laboratory Systems.

Dynamic sparse residual oxygen prediction method for encapsulated pharmaceutical vials under TDLAS/WMS framework

Chun-Pei Yang, Qiwu Luo, Bingxing Zhou, 2023, Symposium on Novel Photoelectronic Detection Technology and Application.