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ORCIDYalin Wang 0003
Person information
- affiliation: Central South University, School of Automation, Changsha, China
- affiliation (former): University of Washington, Seattle, WA, USA
- affiliation (PhD 2001): Central South University, Department of Control Science and Engineering, Changsha, China
Other persons with the same name
- Yalin Wang
- Yalin Wang 0001
![[0000-0002-6241-735X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6241-735X")
— Arizona State University, Tempe, AZ, USA - Yalin Wang 0002 — Texas State University, San Marcos, TX, USA
- Yalin Wang 0004 — Hefei University of Technology, School of Management, China
- Yalin Wang 0005 — Nanjing University of Information Science and Technology, China
- Yalin Wang 0006 — Academy of Military Medical Science, Institute of Medical Equipment, Tianjin, China
- Yalin Wang 0007 — Yunnan University, School of Mathematics and Statistics, Yunnan, China
- Yalin Wang 0008 — Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing, China
- Yalin Wang 0009 — Harbin Institute of Technology, Department of Sociology, Harbin, China
- Yalin Wang 0010 — Chongqing Geomatics Center, China
- Yalin Wang 0011 — Zhejiang University, College of ISEE, Hangzhou, China
- Yalin Wang 0012 — Fudan University, Center for Intelligent Medical Electronics, School of Information Science and Engineering, Shanghai, China (and 1 more)
- Yalin Wang 0013 — Zhixing College of Hubei University, School of Economics and Management, Wuhan, China
- Yalin Wang 0014 — Odessa Polytechinc National University, Educational and Scientific Institute of Electrical Engineering and Electromechanics, Ukraine
- Yalin Wang 0015 — Qufu Normal University, School of Cyber Science and Engineering, China
- Yalin Wang 0016 — Shanghai Jiao Tong University, Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, China
- Yalin Wang 0017 — PLA General Hospital, Medical Supplies Center, Department of Medical Engineering, Beijing, China
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Journal Articles
- 2025
[j78]Xiaofeng Yuan, Dun Wu, Yalin Wang, Chunhua Yang, Weihua Gui, Shuqiao Cheng, Lingjian Ye, Feifan Shen:
Semantic segmentation model based on edge information for rock structural surface traces detection. Eng. Appl. Artif. Intell. 140: 109706 (2025)- [j77]Ling Li, Zhuofu Pan, Yucheng Ma, Zhiwen Chen, Jie Chen, Yalin Wang:
A new generative adversarial networks-based fault diagnosis framework: Learning a mapping to estimate fault. Neurocomputing 622: 129288 (2025) - [j76]Qingkai Sui, Yalin Wang, Chenliang Liu, Keke Huang, Chunhua Yang:
Interpretable Switching Deep Markov Model for Industrial Process Monitoring via Cloud-Edge Collaborative Framework. IEEE Trans. Instrum. Meas. 74: 1-14 (2025) - [j75]Qingkai Sui, Yalin Wang, Chenliang Liu, Minghao Han, Chunhua Yang:
Koopman-Constrained Hierarchical Deep State Space Model for Industrial Quality Prediction via Cloud-Edge Collaborative Framework. IEEE Trans. Syst. Man Cybern. Syst. 55(2): 1137-1150 (2025) - 2024
- [j74]Yalin Wang, Yubin Peng, Jingyu Guo:
Enhancing knowledge graph embedding with structure and semantic features. Appl. Intell. 54(3): 2900-2914 (2024) - [j73]Kai Wang, Daojie He, Qingqiang Sun, Lizhi Yi, Xiaofeng Yuan, Yalin Wang:
A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. Appl. Soft Comput. 158: 111542 (2024) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]Xiaofeng Yuan, Weiwei Xu, Yalin Wang, Chunhua Yang, Weihua Gui:
A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process. IEEE CAA J. Autom. Sinica 11(8): 1777-1785 (2024) - [j67]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) - [j66]Yalin Wang, Xujie Tan, Chenliang Liu, Pei-Qiu Huang, Qingfu Zhang, Chunhua Yang:
Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. Swarm Evol. Comput. 91: 101679 (2024) - [j65]Guohua Wu, Zhiqing Xiang, Yalin Wang, Yi Gu, Witold Pedrycz:
Improved Adaptive Large Neighborhood Search Algorithm Based on the Two-Stage Framework for Scheduling Multiple Super-Agile Satellites. IEEE Trans. Aerosp. Electron. Syst. 60(5): 7185-7200 (2024) - [j64]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) - [j63]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) - [j62]Kai Wang, Zhiying Guo, Yanfang Mo, Yalin Wang, Xiaofeng Yuan:
Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. IEEE Trans Autom. Sci. Eng. 21(3): 4808-4816 (2024) - [j61]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) - [j60]Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, Yalin Wang, Kai Wang, Chunhua Yang, Weihua Gui, Feifan Shen:
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. IEEE Trans. Cybern. 54(5): 2696-2707 (2024) - [j59]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) - [j58]Xiaofeng Yuan, Nuo Xu, Lingjian Ye, Kai Wang, Feifan Shen, Yalin Wang, Chunhua Yang, Weihua Gui:
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry. IEEE Trans. Ind. Informatics 20(4): 5253-5262 (2024) - [j57]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) - [j56]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) - [j55]Chen Ou, Hongqiu Zhu, Yuri A. W. Shardt, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui:
Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j54]Xiaofeng Yuan, Yichen Wang, Chen Wang, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen:
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j53]Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang:
Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer. IEEE Trans. Knowl. Data Eng. 36(11): 6977-6988 (2024) - [j52]Zhuofu Pan, Yalin Wang, Yue Cao, Weihua Gui:
VAE-Based Interpretable Latent Variable Model for Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6075-6088 (2024) - 2023
- [j51]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) - [j50]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) - [j49]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) - [j48]Yue Cao, Nabil Magbool Jan, Biao Huang, Yalin Wang, Zhuofu Pan, Weihua Gui:
No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models. IEEE Trans Autom. Sci. Eng. 20(1): 167-178 (2023) - [j47]Zhuofu Pan, Yalin Wang, Kai Wang, Hongtian Chen, Chunhua Yang, Weihua Gui:
Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. IEEE Trans. Cybern. 53(2): 695-706 (2023) - [j46]Kai Wang, Caoyin Yan, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang:
Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection. IEEE Trans. Ind. Informatics 19(7): 7914-7924 (2023) - [j45]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) - [j44]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) - 2022
- [j43]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) - [j42]Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan:
Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults. J. Frankl. Inst. 359(7): 3291-3312 (2022) - [j41]Kai Wang, Wenxuan Zhou, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang:
New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer. Knowl. Based Syst. 248: 108851 (2022) - [j40]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) - [j39]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) - [j38]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) - [j37]Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang:
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7682-7694 (2022) - 2021
- [j36]Yalin Wang, Ling Li, Kai Wang:
An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties. Comput. Chem. Eng. 144: 107156 (2021) - [j35]Ja'afar Sulaiman Zangina, Wenhai Wang, Weizhong Qin, Weihua Gui, Youxian Sun, Shenghu Xu, Chunhua Yang, Daoxiong Xie, Yalin Wang, Xinggao Liu:
A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation. Comput. Chem. Eng. 151: 107348 (2021) - [j34]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) - [j33]Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan, Chunhua Yang:
Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network. Eng. Appl. Artif. Intell. 104: 104381 (2021) - [j32]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) - [j31]Ling Li, Seshu Kumar Damarla, Yalin Wang, Biao Huang:
A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes. Inf. Sci. 581: 262-277 (2021) - [j30]Zhuofu Pan, Yalin Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui:
A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes. Knowl. Based Syst. 230: 107350 (2021) - [j29]Kai Wang, Xiaofeng Yuan, Junghui Chen, Yalin Wang:
Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. Neural Networks 136: 54-62 (2021) - [j28]Xiaofeng Yuan, Lin Li, Yuri A. W. Shardt, Yalin Wang, Chunhua Yang:
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development. IEEE Trans. Ind. Electron. 68(5): 4404-4414 (2021) - [j27]Yongfei Xue, Yalin Wang, Bei Sun, Xiangyu Peng:
An Efficient Computational Cost Reduction Strategy for the Population-Based Intelligent Optimization of Nonlinear Dynamical Systems. IEEE Trans. Ind. Informatics 17(10): 6624-6633 (2021) - [j26]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) - [j25]Xiaofeng Yuan, Lu Feng, Kai Wang, Yalin Wang, Lingjian Ye:
Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j24]Xiaofeng Yuan, Yongjie Gu, Yalin Wang:
Supervised Deep Belief Network for Quality Prediction in Industrial Processes. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j23]Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui:
A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3296-3305 (2021) - 2020
- [j22]Yalin Wang, Dongzhe Wu, Xiaofeng Yuan:
LDA-based deep transfer learning for fault diagnosis in industrial chemical processes. Comput. Chem. Eng. 140: 106964 (2020) - [j21]Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui:
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE. Neurocomputing 396: 375-382 (2020) - [j20]Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui:
Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit. Inf. Sci. 534: 72-84 (2020) - [j19]Xiaofeng Yuan, Lin Li, Yalin Wang:
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network. IEEE Trans. Ind. Informatics 16(5): 3168-3176 (2020) - [j18]Xiaofeng Yuan, Jiao Zhou, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui:
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy. IEEE Trans. Ind. Informatics 16(6): 3721-3730 (2020) - [j17]Xiaofeng Yuan, Shuaibin Qi, Yalin Wang:
Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable. IEEE Trans. Instrum. Meas. 69(10): 7953-7961 (2020) - [j16]Xiaofeng Yuan, Yongjie Gu, Yalin Wang, Chunhua Yang, Weihua Gui:
A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4737-4746 (2020) - 2019
- [j15]Yalin Wang, Qihang Li, Quan Xiong, Shan Ma:
Distributed consensus of high-order continuous-time multi-agent systems with nonconvex input constraints, switching topologies, and delays. Neurocomputing 332: 10-14 (2019) - 2018
- [j14]Xiaofeng Yuan, Zhiwen Chen, Yalin Wang:
Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression. IEEE Access 6: 10445-10452 (2018) - [j13]Yalin Wang, Bei Sun, Runqin Zhang, Quanmin Zhu, Fanbiao Li:
Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features. IEEE Access 6: 14019-14029 (2018) - [j12]Yalin Wang, Kenan Sun, Xiaofeng Yuan, Yue Cao, Ling Li, Heikki N. Koivo:
A Novel Sliding Window PCA-IPF Based Steady-State Detection Framework and Its Industrial Application. IEEE Access 6: 20995-21004 (2018) - [j11]Yalin Wang, Haibing Xia, Xiaofeng Yuan, Ling Li, Bei Sun:
Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion. Multim. Tools Appl. 77(13): 16741-16770 (2018) - [j10]Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Zhiqiang Ge, Zhihuan Song, Weihua Gui:
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes. IEEE Trans. Ind. Electron. 65(2): 1508-1517 (2018) - [j9]Xiaofeng Yuan, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui:
Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. IEEE Trans. Ind. Informatics 14(7): 3235-3243 (2018) - 2017
- [j8]Shiming He, Long Xiao, Yalin Wang, Xinggao Liu, Chunhua Yang, Jiangang Lu, Weihua Gui, Youxian Sun:
A novel fault diagnosis method based on optimal relevance vector machine. Neurocomputing 267: 651-663 (2017) - [j7]Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song, Yalin Wang:
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. IEEE Trans. Ind. Informatics 13(2): 532-541 (2017) - [j6]Xiaofeng Yuan, Zhiqiang Ge, Zhihuan Song, Yalin Wang, Chunhua Yang, Hongwei Zhang:
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression. IEEE Trans. Instrum. Meas. 66(4): 837-845 (2017) - 2013
- [j5]Yalin Wang, Xiaofang Chen, Weihua Gui, Chunhua Yang, Lou Caccetta, Honglei Xu:
A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification. J. Appl. Math. 2013: 841780:1-841780:15 (2013) - 2011
- [j4]Zhong Wan, ZhanLu Yang, Yalin Wang:
New spectral PRP conjugate gradient method for unconstrained optimization. Appl. Math. Lett. 24(1): 16-22 (2011) - 2009
- [j3]Chunhua Yang, Weihua Gui, Lingshuang Kong, Yalin Wang:
Modeling and optimal-setting control of blending process in a metallurgical industry. Comput. Chem. Eng. 33(7): 1289-1297 (2009) - [j2]Chunhua Yang, Weihua Gui, Lingshuang Kong, Yalin Wang:
A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production. Eng. Appl. Artif. Intell. 22(4-5): 786-795 (2009) - 2004
- [j1]Xiaofang Chen, Weihua Gui, Yalin Wang, Lihui Cen:
Multi-step optimal control of complex process: a genetic programming strategy and its application. Eng. Appl. Artif. Intell. 17(5): 491-500 (2004)
Conference and Workshop Papers
- 2024
- [c15]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
- [c14]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 - [c13]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 - [c12]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
- [c11]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
- [c10]Fangyang Liu, Yalin Wang, Kai Wang:
Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processes. Big Data (CCF) 2021: 182-193 - [c9]Kai Wang, Zhiying Guo, Yalin Wang:
A fault reconstruction strategy for fault diagnosis of state-related multiplicative faults. CAA SAFEPROCESS 2021: 1-6 - 2019
- [c8]Yalin Wang, Dandan Shang, Xiaofeng Yuan:
A correction method for the proportion of key components in basic HYSYS library based on an improved squirrel search algorithm. ASCC 2019: 236-241 - [c7]Xiaofeng Yuan, Jiao Zhou, Yalin Wang, Chunhua Yang:
Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process. ASCC 2019: 242-247 - [c6]Yongfei Xue, Yalin Wang, Dandan Shang:
Parameter Optimization of Hydrocracker using Multi-block Kriging Metamodeling within Discontinuous Operating Space. ASCC 2019: 254-259 - [c5]Di Zhang, Lihui Cen, Yalin Wang:
A Feedforward Decoupling Dynamic Matrix Control of Heavy Oil Separated Process with Smith Predictive Compensation Principle. ASCC 2019: 450-455 - 2018
- [c4]Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang:
Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling. IECON 2018: 5400-5405 - 2017
- [c3]Xiaofang Chen, Ying-Can Qian, Yalin Wang:
Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine. ICONIP (5) 2017: 85-94 - 2016
- [c2]Shao-Ming Yang, Yalin Wang, Yong-fei Xue, Bei Sun, Bu-song Yang:
Online Learning Neural Network for Adaptively Weighted Hybrid Modeling. ICONIP (2) 2016: 233-240 - 2006
- [c1]Zhifeng Qiu, Weihua Gui, Chunhua Yang, Yalin Wang:
Development of Integration Prediction Model for Alumina Raw Slurry Quality. ICICIC (3) 2006: 128-131
Informal and Other Publications
- 2024
- [i1]Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen:
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network. CoRR abs/2404.18528 (2024)
Coauthor Index
[j78] [j73] [j72] [j71] [j70] [j68] [j64] [j63] [j62] [j61] [j60] [j58] [j56] [j55] [j54] [j53] [j51] [j50] [j49] [j46] [j45] [j43] [j42] [j41] [j40] [j39] [j38] [j34] [j33] [j32] [j30] [j29] [j28] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j14] [j12] [j11] [j10] [j9] [j7] [j6] [c14] [c11] [c8] [c7] [c4]
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