Chenliang Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 30

Top Topics

Neighborhood Preserving

Convolutional Network

Top Venues

IEEE Trans. Instrum. Meas.

Eng. Appl. Artif. Intell.

IEEE Trans. Ind. Informatics

Publications

Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui
Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes. IEEE CAA J. Autom. Sinica 11 (1) (2024)
Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong
Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network. IEEE Trans. Artif. Intell. 5 (1) (2024)
Chenliang Liu, Yalin Wang, Yijing Fang, Chunhua Yang, Weihua Gui
Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning. IEEE Trans. Ind. Informatics 20 (5) (2024)
Chenliang Liu, Yalin Wang, Chunhua Yang, Henry Leung, Xunyuan Yin
Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond. IEEE Trans. Ind. Electron. 71 (10) (2024)
Lin Guan, Yalin Wang, Xujie Tan, Chenliang Liu
Genetic Algorithm Driven by Translational Mutation Operator for the Scheduling Optimization in the Steelmaking-Continuous Casting Production. Intelligent Information Processing (1) (2024)
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes. IEEE Trans. Instrum. Meas. 73 (2024)
Yalin Wang, Rao Dai, Diju Liu, Kai Wang, Xiaofeng Yuan, Chenliang Liu
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. Eng. Appl. Artif. Intell. 133 (2024)
Yalin Wang, Zexiong Zhou, Xujie Tan, Yuqing Pan, Junqi Yuan, Zhifeng Qiu, Chenliang Liu
Unveiling the potential of progressive training diffusion model for defect image generation and recognition in industrial processes. Neurocomputing 592 (2024)
Yalin Wang, Silong Li, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process. IEEE Trans. Cybern. 54 (2) (2024)
Diju Liu, Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Kai Wang, Caoyin Yan, Yanfang Mo, Yalin Wang, Xiaofeng Yuan, Chenliang Liu
Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder. Eng. Appl. Artif. Intell. 131 (2024)
Yitao Chen, Yalin Wang, Qingkai Sui, Xiaofeng Yuan, Kai Wang, Chenliang Liu
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. Expert Syst. Appl. 245 (2024)
Chenliang Liu, Yalin Wang, Yijing Fang, Kai Wang
Promoting Decision-Making in Industrial Flotation Process by Collaborating Multiple Flotation Cells. IECON (2023)
Yalin Wang, Chenliang Liu, Hansheng Wu, Qingkai Sui, Chunhua Yang, Weihua Gui
Revolutionizing Flotation Process Working Condition Identification Based on Froth Audio. IEEE Trans. Instrum. Meas. 72 (2023)
Yiyin Tang, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes. IEEE Trans. Ind. Informatics 19 (9) (2023)
Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui
Reinforcement Learning-based Operational Decision-Making in the Process Industry Using Multi-View Data. CDC (2023)
Yuanyuan Tian, Xiaoyang Wei, Zhiyuan Li, Yanrui Jin, Mengxiao Wang, Liqun Zhao, Xiaoxue Yang, Chenliang Liu
Evaluate the Correlation Between Electrocardiogram Age and Cardiovascular Disease Using a 12-lead ECG Dataset. FSDM (2023)
Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu, Xiaofeng Yuan
Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. Neural Networks 164 (2023)
Xujie Tan, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang
Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems. SAFEPROCESS (2023)
Yalin Wang, Hansheng Wu, Chenliang Liu, Kai Wang, Xiaofeng Yuan
Domain adaptation for few-sample nonlinear process monitoring with deep networks. Inf. Sci. 629 (2023)
Yalin Wang, Jiang Luo, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction. IEEE Trans. Instrum. Meas. 71 (2022)
Chenliang Liu, Kai Wang, Yalin Wang, Xiaofeng Yuan
Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application. IEEE Trans. Ind. Informatics 18 (9) (2022)
Yalin Wang, Diju Liu, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling. Adv. Eng. Informatics 52 (2022)
Kai Wang, Caoyin Yan, Xiaofeng Yuan, Yalin Wang, Chenliang Liu
A reduced nonstationary discrete convolution kernel for multimode process monitoring. Int. J. Mach. Learn. Cybern. 13 (12) (2022)
Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang
A multi-source transfer learning method for new mode monitoring in industrial processes. CoDIT (2022)
Chenliang Liu, Yalin Wang, Kai Wang, Xiaofeng Yuan
Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes. Eng. Appl. Artif. Intell. 104 (2021)
Chenliang Liu, Kai Wang, Yalin Wang, Shengli Xie, Chunhua Yang
Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE. IEEE Trans. Instrum. Meas. 70 (2021)
Chenliang Liu, Kai Wang, Lingjian Ye, Yalin Wang, Xiaofeng Yuan
Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process. Inf. Sci. 567 (2021)
Chenliang Liu, Yuan Zhu, Houwang Zhang
Cellular Similarity based Imputation for Single cell RNA Sequencing Data. ICBBT (2021)