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Chenliang Liu
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2020 – today
- 2024
- [j23]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: 107839 (2024) - [j22]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: 108361 (2024) - [j21]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: 123078 (2024) - [j20]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): 252-254 (2024) - [j19]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: 127837 (2024) - [j18]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): 334-345 (2024) - [j17]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): 1138-1150 (2024) - [j16]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): 974-987 (2024) - [j15]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): 13439-13449 (2024) - [j14]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): 7428-7439 (2024) - [j13]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: 1-13 (2024) - [c7]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: 303-316 - 2023
- [j12]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): 105547 (2023) - [j11]Yalin Wang, Hansheng Wu, Chenliang Liu
, Kai Wang, Xiaofeng Yuan:
Domain adaptation for few-sample nonlinear process monitoring with deep networks. Inf. Sci. 629: 456-470 (2023) - [j10]Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu
, Xiaofeng Yuan:
Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. Neural Networks 164: 310-322 (2023) - [j9]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): 9325-9336 (2023) - [j8]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: 1-12 (2023) - [c6]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: 1-6 - [c5]Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui:
Reinforcement Learning-based Operational Decision-Making in the Process Industry Using Multi-View Data. CDC 2023: 3646-3651 - [c4]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: 905-911 - [c3]Chenliang Liu, Yalin Wang, Yijing Fang, Kai Wang:
Promoting Decision-Making in Industrial Flotation Process by Collaborating Multiple Flotation Cells. IECON 2023: 1-6 - 2022
- [j7]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: 101590 (2022) - [j6]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): 3711-3725 (2022) - [j5]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): 5849-5858 (2022) - [j4]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: 1-11 (2022) - [c2]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: 124-129 - 2021
- [j3]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: 104341 (2021) - [j2]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: 42-57 (2021) - [j1]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: 1-10 (2021) - [c1]Chenliang Liu, Yuan Zhu, Houwang Zhang
:
Cellular Similarity based Imputation for Single cell RNA Sequencing Data. ICBBT 2021: 65-70
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last updated on 2024-08-03 20:12 CEST by the dblp team
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