Yalin Wang

132 papers B 1C 4Journal 113Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
A competitive mechanism driven optimization algorithm with application to industrial lens dust shield design.
Appl. Soft Comput.
Yitian Li, Dong Pan, Zhaohui Jiang, Haoyang Yu, Yalin Wang, Weihua Gui
2026 J jnl
An evolutionary multitasking algorithm with high-similarity and equal-constraint auxiliary task for constrained multi-objective optimization and its applications.
Expert Syst. Appl.
Xujie Tan, Yalin Wang, Chenliang Liu, Jing Liao, Guohua Wu
2026 J jnl
Concurrent historical data clustering and common feature learning for new-mode zero-shot industrial anomaly detection.
Eng. Appl. Artif. Intell.
Kai Wang, Xin Yuan, Xun Lang, Xiaofeng Yuan, Jie Han, Yalin Wang
2026 J jnl
Decoupling time and space: An adaptive shared graph convolutional network for dynamic market price forecasting.
Neural Networks
Yalin Wang, Guodong Li, Chenliang Liu, Jiang Luo, Yishun Liu, Weihua Gui
2026 J jnl
Dual-decoder neural architecture with uncertainty-based task weighting for named entity recognition in injection molding defect diagnosis.
Neural Networks
Shuxian Li, Yalin Wang, Jingyu Guo, Zhiwen Chen
2026 J jnl
Efficiently Data-Driven Offline Generation and Online Modification of Belief Rules.
IEEE Trans. Fuzzy Syst.
Jue Shi, Xiaofang Chen, Yongfang Xie, Yalin Wang, Lihui Cen
2026 J jnl
Labeling-free RAG-enhanced LLM for intelligent fault diagnosis via reinforcement learning.
Adv. Eng. Informatics
Jiamin Xu, Zixuan Xu, Zhaohui Jiang, Zhiwen Chen, Hao Luo, Yalin Wang, Weihua Gui
2026 J jnl
Move towards agile feedback: An adaptive Turing-enhanced multi-objective co-evolutionary algorithm for rescheduling optimization steelmaking-continuous casting under equipment failures.
Swarm Evol. Comput.
Lin Guan, Yalin Wang, Chenliang Liu, Xujie Tan, Yujie Zhang
2026 J jnl
Progressive anchoring-driven consistent dual reconstruction for cross-domain open-mode process monitoring.
Expert Syst. Appl.
Ziqing Deng, Xiaofang Chen, Lipo Wang, Lihui Cen, Yalin Wang, Shouli Yu
2026 J jnl
Proximal Policy Optimization-Based Hierarchical Distributed Auction for Dual-Layer Inter-Layer Link Scheduling in Remote Sensing.
IEEE Trans Autom. Sci. Eng.
Manyi Liu, Mingfen Fan, Yi Gu, Yalin Wang, Guohua Wu
2026 J jnl
Quadrotor navigation considering attitude: A deep reinforcement learning method using tangent path rewards.
Expert Syst. Appl.
Qizhang Luo, Yuqi Li, Jiaheng Zeng, Guohua Wu, Yalin Wang
2026 J jnl
UHTS-DRL: A deep reinforcement learning framework for integrated agile satellite observation and data transmission scheduling.
Inf. Sci.
Jiaqi Cheng, Mingfeng Fan, Yi Gu, Wei Tang, Qizhang Luo, Yalin Wang, Xinwei Wang, Guohua Wu
2026 J jnl
Which Data Harms My Regression Model: Enhancing Model Performance on Low-Quality Data Through Fast Data Attribution.
IEEE Trans. Knowl. Data Eng.
Qingkai Sui, Yalin Wang, Chenliang Liu, Diju Liu, Xiaofang Chen, Yongfang Xie
2025 J jnl
A Difference Metric Attention With Position Distance-Based Weighting for Transformer in Data Sequence Modeling of Industrial Processes.
IEEE Trans. Ind. Informatics
Ziyi Yang, Kai Wang, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui
2025 J jnl
A Two-Stage Day-Ahead Multi-Energy Consumption Forecasting Method Based on Multi-Task Spatiotemporal Coupling Informer and Enhanced Spider Wasp Optimization.
IEEE Trans. Smart Grid
Fang Liu, Yucong Huang, Yalin Wang, Guihua Ban, Ling Liu, Yong Li
2025 J jnl
A knowledge graph-based standardized modeling and quantitative retrieval method for product defect analysis-related knowledge.
Adv. Eng. Informatics
Jingyu Guo, Yalin Wang, Shuxian Li, Guanlin Chen
2025 J jnl
A new generative adversarial networks-based fault diagnosis framework: Learning a mapping to estimate fault.
Neurocomputing
Ling Li, Zhuofu Pan, Yucheng Ma, Zhiwen Chen, Jie Chen, Yalin Wang
2025 J jnl
A sampling interval-adaptive transformer for industrial time sequence modeling with heterogeneou s sampling rates in quality prediction.
Eng. Appl. Artif. Intell.
Zijian Xu, Nuo Xu, Kai Wang, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui, Shuqiao Cheng, Lingjian Ye
2025 J jnl
Adaptive Event-Triggered Sliding Mode Load Frequency Control for Cyber-Physical Power Systems Under False Data Injection Attacks.
IEEE Trans. Ind. Informatics
Weiru Guo, Fang Liu, Yalin Wang, Denis N. Sidorov, Jun Wu
2025 J jnl
Adaptive information fusion-driven evolutionary algorithm via balancing the information from unconstrained and constrained pareto fronts.
Swarm Evol. Comput.
Xujie Tan, Yalin Wang, Chenliang Liu, Jing Liao, Yong Wang, Weihua Gui
2025 — conf
An Evolutionary Algorithm with Adaptive Global-Local Diversity for Data-Driven Optimization and Its Industrial Application.
ICPS
Xujie Tan, Yalin Wang, Jing Liao, Guohua Wu, Qizhang Luo, Chenliang Liu
2025 J jnl
Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application.
IEEE Trans. Ind. Informatics
Qingkai Sui, Yalin Wang, Chenliang Liu, Kai Wang, Bei Sun
2025 J jnl
Corrections to "Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes".
IEEE Trans. Ind. Informatics
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
2025 J jnl
Data-Driven Two-Stage Robust Optimization Allocation and Loading for Salt Lake Chemical Enterprise Products Under Demand Uncertainty.
IEEE CAA J. Autom. Sinica
Yiyin Tang, Yalin Wang, Chenliang Liu, Qingkai Sui, Yishun Liu, Keke Huang, Weihua Gui
2025 J jnl
Data-driven optimization strategy of raw material procurement under uncertainties of price fluctuations and production demand in industrial enterprises.
Comput. Ind. Eng.
Jiang Luo, Yalin Wang, Chenliang Liu, Guohua Wu, Weihua Gui
2025 J jnl
Drone on-demand delivery routing problem considering order splitting and battery swapping.
Comput. Ind. Eng.
Shuxuan Li, Tianjun Liao, Guohua Wu, Yalin Wang, Ponnuthurai Nagaratnam Suganthan
2025 J jnl
Finite-Time L
IEEE Trans Autom. Sci. Eng.
Cai Liu, Fang Liu, Yalin Wang, Tianqing Yang, Lang Wu, Kang-Zhi Liu
2025 — conf
From Linear to Nonlinear: An Efficient Industrial Data Attribution Method for Regression Models.
ICPS
Qingkai Sui, Yalin Wang, Yijing Fang, Minghao Han, Chenliang Liu
2025 J jnl
From separation to fusion: Screening-assisted bilevel collaborative evolutionary optimization for railway freight allocation.
Neurocomputing
Yiyin Tang, Yalin Wang, Chenliang Liu, Yong Wang, Weihua Gui
2025 J jnl
Gaussian-based Interval-Aware Transformer With Interval Embedding for Data Sequence Modeling With Irregular Sampling Frequency in Industrial Processes.
IEEE Trans. Ind. Informatics
Ziyi Yang, Kai Wang, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui, Lingjian Ye, Feifan Shen
2025 J jnl
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-Based Input-Output Decoupled Networks.
IEEE Trans. Instrum. Meas.
Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen
2025 J jnl
Heterogeneous Attention-Based Graph Convolutional Network for Solving Asymmetric Pickup and Delivery Problem.
IEEE Trans Autom. Sci. Eng.
Jiayi Li, Guohua Wu, Mingfeng Fan, Zhiguang Cao, Yalin Wang
2025 J jnl
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences.
IEEE Trans. Neural Networks Learn. Syst.
Xiaofeng Yuan, Zhenzhen Jia, Zijian Xu, Nuo Xu, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen
2025 J jnl
Interpretable Switching Deep Markov Model for Industrial Process Monitoring via Cloud-Edge Collaborative Framework.
IEEE Trans. Instrum. Meas.
Qingkai Sui, Yalin Wang, Chenliang Liu, Keke Huang, Chunhua Yang
2025 J jnl
Koopman-Constrained Hierarchical Deep State Space Model for Industrial Quality Prediction via Cloud-Edge Collaborative Framework.
IEEE Trans. Syst. Man Cybern. Syst.
Qingkai Sui, Yalin Wang, Chenliang Liu, Minghao Han, Chunhua Yang
2025 J jnl
Multi-Objective Multi-Drone Collaborative Routing Problem With Heterogeneous Delivery and Pickup Service.
IEEE Trans. Intell. Transp. Syst.
Fangyu Hong, Guohua Wu, Yalin Wang, Qizhang Luo, Ling Wang, Jianmai Shi
2025 J jnl
Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems.
Eng. Appl. Artif. Intell.
Ruiyi Fang, Kai Wang, Xiaofeng Yuan, Zeyu Yang, Yalin Wang, Chunhua Yang
2025 J jnl
Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors.
IEEE Trans. Neural Networks Learn. Syst.
Chen Ou, Hongqiu Zhu, Yuri A. W. Shardt, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
2025 J jnl
Semantic segmentation model based on edge information for rock structural surface traces detection.
Eng. Appl. Artif. Intell.
Xiaofeng Yuan, Dun Wu, Yalin Wang, Chunhua Yang, Weihua Gui, Shuqiao Cheng, Lingjian Ye, Feifan Shen
2025 J jnl
TsDa-ASAM: Balancing efficiency and accuracy in coke image particle size segmentation via two-stage distillation-aware adaptive segment anything model.
Appl. Intell.
Yalin Wang, Yubin Peng, Xujie Tan, Yuqing Pan, Chenliang Liu
2024 J jnl
A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process.
IEEE CAA J. Autom. Sinica
Xiaofeng Yuan, Weiwei Xu, Yalin Wang, Chunhua Yang, Weihua Gui
2024 J jnl
A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion.
Appl. Soft Comput.
Kai Wang, Daojie He, Qingqiang Sun, Lizhi Yi, Xiaofeng Yuan, Yalin Wang
2024 J jnl
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications.
Eng. Appl. Artif. Intell.
Yalin Wang, Rao Dai, Diju Liu, Kai Wang, Xiaofeng Yuan, Chenliang Liu
2024 J jnl
Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond.
IEEE Trans. Ind. Electron.
Chenliang Liu, Yalin Wang, Chunhua Yang, Henry Leung, Xunyuan Yin
2024 J jnl
Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder.
Eng. Appl. Artif. Intell.
Kai Wang, Caoyin Yan, Yanfang Mo, Yalin Wang, Xiaofeng Yuan, Chenliang Liu
2024 J jnl
Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry.
IEEE Trans. Ind. Informatics
Xiaofeng Yuan, Nuo Xu, Lingjian Ye, Kai Wang, Feifan Shen, Yalin Wang, Chunhua Yang, Weihua Gui
2024 J jnl
Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework.
IEEE Trans Autom. Sci. Eng.
Diju Liu, Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang
2024 J jnl
Enhancing knowledge graph embedding with structure and semantic features.
Appl. Intell.
Yalin Wang, Yubin Peng, Jingyu Guo
2024 J jnl
Exploring interpretable evolutionary optimization via significance of each constraint and population diversity.
Swarm Evol. Comput.
Yalin Wang, Xujie Tan, Chenliang Liu, Pei-Qiu Huang, Qingfu Zhang, Chunhua Yang
2024 J jnl
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network.
CoRR
Zhuofu Pan, Qingkai Sui, Yalin Wang, Jiang Luo, Jie Chen, Hongtian Chen
2024 — conf
Genetic Algorithm Driven by Translational Mutation Operator for the Scheduling Optimization in the Steelmaking-Continuous Casting Production.
IIP (1)
Lin Guan, Yalin Wang, Xujie Tan, Chenliang Liu
2024 J jnl
Improved Adaptive Large Neighborhood Search Algorithm Based on the Two-Stage Framework for Scheduling Multiple Super-Agile Satellites.
IEEE Trans. Aerosp. Electron. Syst.
Guohua Wu, Zhiqing Xiang, Yalin Wang, Yi Gu, Witold Pedrycz
2024 J jnl
Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network.
IEEE Trans. Artif. Intell.
Yalin Wang, Qingkai Sui, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Guangfeng Dong
2024 J jnl
Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems.
IEEE Trans Autom. Sci. Eng.
Kai Wang, Zhiying Guo, Yanfang Mo, Yalin Wang, Xiaofeng Yuan
2024 J jnl
Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes.
IEEE Trans. Instrum. Meas.
Chen Ou, Hongqiu Zhu, Yuri A. W. Shardt, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui
2024 — conf
Multi-Mechanism-Driven Whale Optimization Algorithm for Collaborative Scheduling of Industrial Equipment.
ASCC
Bin Lin, Yalin Wang, Xujie Tan, Lin Guan, Zhifeng Qiu, Geert Deconinck, Chenliang Liu
2024 J jnl
Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes.
IEEE CAA J. Autom. Sinica
Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui
2024 J jnl
Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes.
IEEE Trans. Instrum. Meas.
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang
2024 J jnl
Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process.
IEEE Trans. Cybern.
Yalin Wang, Silong Li, Chenliang Liu, Kai Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
2024 J jnl
Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning.
IEEE Trans. Ind. Informatics
Chenliang Liu, Yalin Wang, Yijing Fang, Chunhua Yang, Weihua Gui
2024 J jnl
Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network.
IEEE Trans. Cybern.
Xiaofeng Yuan, Lingfeng Huang, Lingjian Ye, Yalin Wang, Kai Wang, Chunhua Yang, Weihua Gui, Feifan Shen
2024 J jnl
Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes.
Expert Syst. Appl.
Yitao Chen, Yalin Wang, Qingkai Sui, Xiaofeng Yuan, Kai Wang, Chenliang Liu
2024 J jnl
Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer.
IEEE Trans. Knowl. Data Eng.
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2024 J jnl
Unveiling the potential of progressive training diffusion model for defect image generation and recognition in industrial processes.
Neurocomputing
Yalin Wang, Zexiong Zhou, Xujie Tan, Yuqing Pan, Junqi Yuan, Zhifeng Qiu, Chenliang Liu
2024 J jnl
VAE-Based Interpretable Latent Variable Model for Process Monitoring.
IEEE Trans. Neural Networks Learn. Syst.
Zhuofu Pan, Yalin Wang, Yue Cao, Weihua Gui
2024 J jnl
Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling.
IEEE Trans. Instrum. Meas.
Xiaofeng Yuan, Yichen Wang, Chen Wang, Lingjian Ye, Kai Wang, Yalin Wang, Chunhua Yang, Weihua Gui, Feifan Shen
2024 — conf
Wasserstein Distance Based Domain Adversarial Autoencoder for Industrial Few-sample Fault Detection.
ASCC
Ruiyi Fang, Kai Wang, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
2023 C conf
Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems.
SAFEPROCESS
Xujie Tan, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang
2023 J jnl
Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes.
IEEE Trans. Ind. Informatics
Diju Liu, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
2023 J jnl
Domain adaptation for few-sample nonlinear process monitoring with deep networks.
Inf. Sci.
Yalin Wang, Hansheng Wu, Chenliang Liu, Kai Wang, Xiaofeng Yuan
2023 J jnl
Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder.
IEEE Trans. Cybern.
Zhuofu Pan, Yalin Wang, Kai Wang, Hongtian Chen, Chunhua Yang, Weihua Gui
2023 J jnl
Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection.
IEEE Trans. Ind. Informatics
Kai Wang, Caoyin Yan, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
2023 J jnl
No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models.
IEEE Trans Autom. Sci. Eng.
Yue Cao, Nabil Magbool Jan, Biao Huang, Yalin Wang, Zhuofu Pan, Weihua Gui
2023 C conf
Promoting Decision-Making in Industrial Flotation Process by Collaborating Multiple Flotation Cells.
IECON
Chenliang Liu, Yalin Wang, Yijing Fang, Kai Wang
2023 — conf
Reinforcement Learning-based Operational Decision-Making in the Process Industry Using Multi-View Data.
CDC
Chenliang Liu, Yalin Wang, Chunhua Yang, Weihua Gui
2023 J jnl
Revolutionizing Flotation Process Working Condition Identification Based on Froth Audio.
IEEE Trans. Instrum. Meas.
Yalin Wang, Chenliang Liu, Hansheng Wu, Qingkai Sui, Chunhua Yang, Weihua Gui
2023 J jnl
Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes.
Eng. Appl. Artif. Intell.
Yiyin Tang, Yalin Wang, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2023 J jnl
Semi-supervised deep embedded clustering with pairwise constraints and subset allocation.
Neural Networks
Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu, Xiaofeng Yuan
2022 C conf
A multi-source transfer learning method for new mode monitoring in industrial processes.
CoDIT
Kai Wang, Wenxuan Zhou, Chenliang Liu, Xiaofeng Yuan, Yalin Wang
2022 J jnl
A reduced nonstationary discrete convolution kernel for multimode process monitoring.
Int. J. Mach. Learn. Cybern.
Kai Wang, Caoyin Yan, Xiaofeng Yuan, Yalin Wang, Chenliang Liu
2022 J jnl
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring.
IEEE Trans. Neural Networks Learn. Syst.
Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang
2022 J jnl
Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling.
Adv. Eng. Informatics
Yalin Wang, Diju Liu, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2022 J jnl
Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction.
IEEE Trans. Instrum. Meas.
Yalin Wang, Jiang Luo, Chenliang Liu, Xiaofeng Yuan, Kai Wang, Chunhua Yang
2022 J jnl
Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application.
IEEE Trans. Ind. Informatics
Chenliang Liu, Kai Wang, Yalin Wang, Xiaofeng Yuan
2022 J jnl
New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer.
Knowl. Based Syst.
Kai Wang, Wenxuan Zhou, Yanfang Mo, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
2022 J jnl
Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults.
J. Frankl. Inst.
Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan
2021 J jnl
A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes.
Inf. Sci.
Ling Li, Seshu Kumar Damarla, Yalin Wang, Biao Huang
2021 J jnl
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.
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui
2021 J jnl
A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes.
Knowl. Based Syst.
Zhuofu Pan, Yalin Wang, Xiaofeng Yuan, Chunhua Yang, Weihua Gui
2021 — conf
A fault reconstruction strategy for fault diagnosis of state-related multiplicative faults.
CAA SAFEPROCESS
Kai Wang, Zhiying Guo, Yalin Wang
2021 J jnl
A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation.
Comput. Chem. Eng.
Ja'afar Sulaiman Zangina, Wenhai Wang, Weizhong Qin, Weihua Gui, Youxian Sun, Shenghu Xu, Chunhua Yang, Daoxiong Xie, Yalin Wang, Xinggao Liu
2021 J jnl
An Efficient Computational Cost Reduction Strategy for the Population-Based Intelligent Optimization of Nonlinear Dynamical Systems.
IEEE Trans. Ind. Informatics
Yongfei Xue, Yalin Wang, Bei Sun, Xiangyu Peng
2021 J jnl
An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties.
Comput. Chem. Eng.
Yalin Wang, Ling Li, Kai Wang
2021 J jnl
Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network.
Eng. Appl. Artif. Intell.
Kai Wang, Zhiying Guo, Yalin Wang, Xiaofeng Yuan, Chunhua Yang
2021 J jnl
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development.
IEEE Trans. Ind. Electron.
Xiaofeng Yuan, Lin Li, Yuri A. W. Shardt, Yalin Wang, Chunhua Yang
2021 J jnl
Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes.
IEEE Trans. Instrum. Meas.
Xiaofeng Yuan, Lu Feng, Kai Wang, Yalin Wang, Lingjian Ye
2021 J jnl
Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE.
IEEE Trans. Instrum. Meas.
Chenliang Liu, Kai Wang, Yalin Wang, Shengli Xie, Chunhua Yang
2021 J jnl
Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process.
Inf. Sci.
Chenliang Liu, Kai Wang, Lingjian Ye, Yalin Wang, Xiaofeng Yuan
2021 J jnl
Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes.
Eng. Appl. Artif. Intell.
Chenliang Liu, Yalin Wang, Kai Wang, Xiaofeng Yuan
2021 B conf
Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processes.
Big Data (CCF)
Fangyang Liu, Yalin Wang, Kai Wang
2021 J jnl
Supervised Deep Belief Network for Quality Prediction in Industrial Processes.
IEEE Trans. Instrum. Meas.
Xiaofeng Yuan, Yongjie Gu, Yalin Wang
2021 J jnl
Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring.
Neural Networks
Kai Wang, Xiaofeng Yuan, Junghui Chen, Yalin Wang
2020 J jnl
A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst.
Xiaofeng Yuan, Yongjie Gu, Yalin Wang, Chunhua Yang, Weihua Gui
2020 J jnl
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE.
Neurocomputing
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang, Weihua Gui
2020 J jnl
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy.
IEEE Trans. Ind. Informatics
Xiaofeng Yuan, Jiao Zhou, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui
2020 J jnl
LDA-based deep transfer learning for fault diagnosis in industrial chemical processes.
Comput. Chem. Eng.
Yalin Wang, Dongzhe Wu, Xiaofeng Yuan
2020 J jnl
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network.
IEEE Trans. Ind. Informatics
Xiaofeng Yuan, Lin Li, Yalin Wang
2020 J jnl
Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable.
IEEE Trans. Instrum. Meas.
Xiaofeng Yuan, Shuaibin Qi, Yalin Wang
2020 J jnl
Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit.
Inf. Sci.
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui
2019 — conf
A Feedforward Decoupling Dynamic Matrix Control of Heavy Oil Separated Process with Smith Predictive Compensation Principle.
ASCC
Di Zhang, Lihui Cen, Yalin Wang
2019 — conf
A correction method for the proportion of key components in basic HYSYS library based on an improved squirrel search algorithm.
ASCC
Yalin Wang, Dandan Shang, Xiaofeng Yuan
2019 J jnl
Distributed consensus of high-order continuous-time multi-agent systems with nonconvex input constraints, switching topologies, and delays.
Neurocomputing
Yalin Wang, Qihang Li, Quan Xiong, Shan Ma
2019 — conf
Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process.
ASCC
Xiaofeng Yuan, Jiao Zhou, Yalin Wang, Chunhua Yang
2019 — conf
Parameter Optimization of Hydrocracker using Multi-block Kriging Metamodeling within Discontinuous Operating Space.
ASCC
Yongfei Xue, Yalin Wang, Dandan Shang
2018 J jnl
A Novel Sliding Window PCA-IPF Based Steady-State Detection Framework and Its Industrial Application.
IEEE Access
Yalin Wang, Kenan Sun, Xiaofeng Yuan, Yue Cao, Ling Li, Heikki N. Koivo
2018 J jnl
Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE.
IEEE Trans. Ind. Informatics
Xiaofeng Yuan, Biao Huang, Yalin Wang, Chunhua Yang, Weihua Gui
2018 J jnl
Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion.
Multim. Tools Appl.
Yalin Wang, Haibing Xia, Xiaofeng Yuan, Ling Li, Bei Sun
2018 C conf
Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling.
IECON
Xiaofeng Yuan, Chen Ou, Yalin Wang, Chunhua Yang
2018 J jnl
Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression.
IEEE Access
Xiaofeng Yuan, Zhiwen Chen, Yalin Wang
2018 J jnl
Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features.
IEEE Access
Yalin Wang, Bei Sun, Runqin Zhang, Quanmin Zhu, Fanbiao Li
2018 J jnl
Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes.
IEEE Trans. Ind. Electron.
Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Zhiqiang Ge, Zhihuan Song, Weihua Gui
2017 J jnl
A novel fault diagnosis method based on optimal relevance vector machine.
Neurocomputing
Shiming He, Long Xiao, Yalin Wang, Xinggao Liu, Chunhua Yang, Jiangang Lu, Weihua Gui, Youxian Sun
2017 — conf
Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine.
ICONIP (5)
Xiaofang Chen, Ying-Can Qian, Yalin Wang
2017 J jnl
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR.
IEEE Trans. Ind. Informatics
Xiaofeng Yuan, Zhiqiang Ge, Biao Huang, Zhihuan Song, Yalin Wang
2017 J jnl
Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.
IEEE Trans. Instrum. Meas.
Xiaofeng Yuan, Zhiqiang Ge, Zhihuan Song, Yalin Wang, Chunhua Yang, Hongwei Zhang
2016 — conf
Online Learning Neural Network for Adaptively Weighted Hybrid Modeling.
ICONIP (2)
Shao-Ming Yang, Yalin Wang, Yong-fei Xue, Bei Sun, Bu-song Yang
2013 J jnl
A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification.
J. Appl. Math.
Yalin Wang, Xiaofang Chen, Weihua Gui, Chunhua Yang, Lou Caccetta, Honglei Xu
2011 J jnl
New spectral PRP conjugate gradient method for unconstrained optimization.
Appl. Math. Lett.
Zhong Wan, ZhanLu Yang, Yalin Wang
2009 J jnl
A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production.
Eng. Appl. Artif. Intell.
Chunhua Yang, Weihua Gui, Lingshuang Kong, Yalin Wang
2009 J jnl
Modeling and optimal-setting control of blending process in a metallurgical industry.
Comput. Chem. Eng.
Chunhua Yang, Weihua Gui, Lingshuang Kong, Yalin Wang
2006 — conf
Development of Integration Prediction Model for Alumina Raw Slurry Quality.
ICICIC (3)
Zhifeng Qiu, Weihua Gui, Chunhua Yang, Yalin Wang
2004 J jnl
Multi-step optimal control of complex process: a genetic programming strategy and its application.
Eng. Appl. Artif. Intell.
Xiaofang Chen, Weihua Gui, Yalin Wang, Lihui Cen