Multi-step optimal control of complex process: a genetic programming strategy and its application. - Xiaofang Chen; Weihua Gui 001; Yalin Wang 003; Lihui Cen (Eng. Appl. Artif. Intell., 2004)

Development of Integration Prediction Model for Alumina Raw Slurry Quality. - Zhifeng Qiu; Weihua Gui 001; Chunhua Yang 001; Yalin Wang 003 (ICICIC (3), 2006)

Modeling and optimal-setting control of blending process in a metallurgical industry. - Chunhua Yang 001; Weihua Gui 001; Lingshuang Kong; Yalin Wang 003 (Comput. Chem. Eng., 2009)

A two-stage intelligent optimization system for the raw slurry preparing process of alumina sintering production. - Chunhua Yang 001; Weihua Gui 001; Lingshuang Kong; Yalin Wang 003 (Eng. Appl. Artif. Intell., 2009)

New spectral PRP conjugate gradient method for unconstrained optimization. - Zhong Wan; ZhanLu Yang; Yalin Wang 003 (Appl. Math. Lett., 2011)

A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification. - Yalin Wang 003; Xiaofang Chen; Weihua Gui 001; Chunhua Yang 001; Lou Caccetta; Honglei Xu (J. Appl. Math., 2013)

Online Learning Neural Network for Adaptively Weighted Hybrid Modeling. - Shao-Ming Yang; Yalin Wang 003; Yong-fei Xue; Bei Sun; Bu-song Yang (ICONIP (2), 2016)

Power Consumption Prediction for Dynamic Adjustment in Hydrocracking Process Based on State Transition Algorithm and Support Vector Machine. - Xiaofang Chen; Ying-Can Qian; Yalin Wang 003 (ICONIP (5), 2017)

A novel fault diagnosis method based on optimal relevance vector machine. - Shiming He; Long Xiao; Yalin Wang 003; Xinggao Liu; Chunhua Yang 001; Jiangang Lu; Weihua Gui 001; Youxian Sun (Neurocomputing, 2017)

Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. - Xiaofeng Yuan; Zhiqiang Ge; Biao Huang 001; Zhihuan Song; Yalin Wang 003 (IEEE Trans. Ind. Informatics, 2017)

Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression. - Xiaofeng Yuan; Zhiqiang Ge; Zhihuan Song; Yalin Wang 003; Chunhua Yang 001; Hongwei Zhang (IEEE Trans. Instrum. Meas., 2017)

Nonlinear VW-SAE Based Deep Learning for Quality-Related Feature Learning and Soft Sensor Modeling. - Xiaofeng Yuan; Chen Ou; Yalin Wang 003; Chunhua Yang 001 (IECON, 2018)

A Novel Sliding Window PCA-IPF Based Steady-State Detection Framework and Its Industrial Application. - Yalin Wang 003; Kenan Sun; Xiaofeng Yuan; Yue Cao 004; Ling Li; Heikki N. Koivo (IEEE Access, 2018)

Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features. - Yalin Wang 003; Bei Sun; Runqin Zhang; Quanmin Zhu; Fanbiao Li (IEEE Access, 2018)

Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression. - Xiaofeng Yuan; Zhiwen Chen 001; Yalin Wang 003 (IEEE Access, 2018)

Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion. - Yalin Wang 003; Haibing Xia; Xiaofeng Yuan; Ling Li; Bei Sun (Multim. Tools Appl., 2018)

Weighted Linear Dynamic System for Feature Representation and Soft Sensor Application in Nonlinear Dynamic Industrial Processes. - Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Zhiqiang Ge; Zhihuan Song; Weihua Gui 001 (IEEE Trans. Ind. Electron., 2018)

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. - Xiaofeng Yuan; Biao Huang 001; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2018)

A correction method for the proportion of key components in basic HYSYS library based on an improved squirrel search algorithm. - Yalin Wang 003; Dandan Shang; Xiaofeng Yuan (ASCC, 2019)

Parameter Optimization of Hydrocracker using Multi-block Kriging Metamodeling within Discontinuous Operating Space. - Yongfei Xue; Yalin Wang 003; Dandan Shang (ASCC, 2019)

Fuzzy C-means Cluster Based on Local Weighted Principal Component Regression for Soft Sensor of an Industrial Hydrocracking process. - Xiaofeng Yuan; Jiao Zhou; Yalin Wang 003; Chunhua Yang 001 (ASCC, 2019)

A Feedforward Decoupling Dynamic Matrix Control of Heavy Oil Separated Process with Smith Predictive Compensation Principle. - Di Zhang; Lihui Cen; Yalin Wang 003 (ASCC, 2019)

Distributed consensus of high-order continuous-time multi-agent systems with nonconvex input constraints, switching topologies, and delays. - Yalin Wang 003; Qihang Li; Quan Xiong; Shan Ma (Neurocomputing, 2019)

LDA-based deep transfer learning for fault diagnosis in industrial chemical processes. - Yalin Wang 003; Dongzhe Wu; Xiaofeng Yuan (Comput. Chem. Eng., 2020)

Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE. - Xiaofeng Yuan; Chen Ou; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (Neurocomputing, 2020)

Stacked isomorphic autoencoder based soft analyzer and its application to sulfur recovery unit. - Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (Inf. Sci., 2020)

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network. - Xiaofeng Yuan; Lin Li 043; Yalin Wang 003 (IEEE Trans. Ind. Informatics, 2020)

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy. - Xiaofeng Yuan; Jiao Zhou; Biao Huang 001; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2020)

Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable. - Xiaofeng Yuan; Shuaibin Qi; Yalin Wang 003 (IEEE Trans. Instrum. Meas., 2020)

A Deep Supervised Learning Framework for Data-Driven Soft Sensor Modeling of Industrial Processes. - Xiaofeng Yuan; Yongjie Gu; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processes. - Fangyang Liu; Yalin Wang 003; Kai Wang 024 (Big Data (CCF), 2021)

A fault reconstruction strategy for fault diagnosis of state-related multiplicative faults. - Kai Wang 024; Zhiying Guo; Yalin Wang 003 (CAA SAFEPROCESS, 2021)

An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties. - Yalin Wang 003; Ling Li; Kai Wang 024 (Comput. Chem. Eng., 2021)

A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation. - Ja'afar Sulaiman Zangina; Wenhai Wang; Weizhong Qin; Weihua Gui 001; Youxian Sun; Shenghu Xu; Chunhua Yang 001; Daoxiong Xie; Yalin Wang 003; Xinggao Liu (Comput. Chem. Eng., 2021)

Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes. - Chenliang Liu; Yalin Wang 003; Kai Wang 024; Xiaofeng Yuan (Eng. Appl. Artif. Intell., 2021)

Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network. - Kai Wang 024; Zhiying Guo; Yalin Wang 003; Xiaofeng Yuan; Chunhua Yang 001 (Eng. Appl. Artif. Intell., 2021)

A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes. - Ling Li; Seshu Kumar Damarla; Yalin Wang 003; Biao Huang 001 (Inf. Sci., 2021)

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process. - Chenliang Liu; Kai Wang 024; Lingjian Ye; Yalin Wang 003; Xiaofeng Yuan (Inf. Sci., 2021)

A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes. - Zhuofu Pan; Yalin Wang 003; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (Knowl. Based Syst., 2021)

Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring. - Kai Wang 024; Xiaofeng Yuan; Junghui Chen; Yalin Wang 003 (Neural Networks, 2021)

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development. - Xiaofeng Yuan; Lin Li 043; Yuri A. W. Shardt; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Ind. Electron., 2021)

An Efficient Computational Cost Reduction Strategy for the Population-Based Intelligent Optimization of Nonlinear Dynamical Systems. - Yongfei Xue; Yalin Wang 003; Bei Sun; Xiangyu Peng (IEEE Trans. Ind. Informatics, 2021)

Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE. - Chenliang Liu; Kai Wang 024; Yalin Wang 003; Shengli Xie; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2021)

Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes. - Xiaofeng Yuan; Lu Feng; Kai Wang 024; Yalin Wang 003; Lingjian Ye (IEEE Trans. Instrum. Meas., 2021)

Supervised Deep Belief Network for Quality Prediction in Industrial Processes. - Xiaofeng Yuan; Yongjie Gu; Yalin Wang 003 (IEEE Trans. Instrum. Meas., 2021)

A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process. - Xiaofeng Yuan; Chen Ou; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

A multi-source transfer learning method for new mode monitoring in industrial processes. - Kai Wang 024; Wenxuan Zhou; Chenliang Liu; Xiaofeng Yuan; Yalin Wang 003 (CoDIT, 2022)

Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling. - Yalin Wang 003; Diju Liu; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (Adv. Eng. Informatics, 2022)

Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults. - Kai Wang 024; Zhiying Guo; Yalin Wang 003; Xiaofeng Yuan (J. Frankl. Inst., 2022)

New mode cold start monitoring in industrial processes: A solution of spatial-temporal feature transfer. - Kai Wang 024; Wenxuan Zhou; Yanfang Mo; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (Knowl. Based Syst., 2022)

A reduced nonstationary discrete convolution kernel for multimode process monitoring. - Kai Wang 024; Caoyin Yan; Xiaofeng Yuan; Yalin Wang 003; Chenliang Liu (Int. J. Mach. Learn. Cybern., 2022)

Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application. - Chenliang Liu; Kai Wang 024; Yalin Wang 003; Xiaofeng Yuan (IEEE Trans. Ind. Informatics, 2022)

Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction. - Yalin Wang 003; Jiang Luo; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2022)

Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. - Kai Wang 024; Junghui Chen; Zhihuan Song; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Communication and Self-Learning Strategies Incorporated State Transition Algorithm for Optimization of Complex Systems. - Xujie Tan; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024 (SAFEPROCESS, 2023)

Reinforcement Learning-based Operational Decision-Making in the Process Industry Using Multi-View Data. - Chenliang Liu; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (CDC, 2023)

Promoting Decision-Making in Industrial Flotation Process by Collaborating Multiple Flotation Cells. - Chenliang Liu; Yalin Wang 003; Yijing Fang; Kai Wang 024 (IECON, 2023)

Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes. - Yiyin Tang; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (Eng. Appl. Artif. Intell., 2023)

No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models. - Yue Cao 004; Nabil Magbool Jan; Biao Huang 001; Yalin Wang 003; Zhuofu Pan; Weihua Gui 001 (IEEE Trans Autom. Sci. Eng., 2023)

Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. - Zhuofu Pan; Yalin Wang 003; Kai Wang 024; Hongtian Chen; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Cybern., 2023)

Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes. - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2023)

Revolutionizing Flotation Process Working Condition Identification Based on Froth Audio. - Yalin Wang 003; Chenliang Liu; Hansheng Wu; Qingkai Sui; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2023)

Domain adaptation for few-sample nonlinear process monitoring with deep networks. - Yalin Wang 003; Hansheng Wu; Chenliang Liu; Kai Wang 024; Xiaofeng Yuan (Inf. Sci., 2023)

Semi-supervised deep embedded clustering with pairwise constraints and subset allocation. - Yalin Wang 003; Jiangfeng Zou; Kai Wang 024; Chenliang Liu; Xiaofeng Yuan (Neural Networks, 2023)

Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection. - Kai Wang 024; Caoyin Yan; Yanfang Mo; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Ind. Informatics, 2023)

Wasserstein Distance Based Domain Adversarial Autoencoder for Industrial Few-sample Fault Detection. - Ruiyi Fang; Kai Wang 024; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (ASCC, 2024)

Multi-Mechanism-Driven Whale Optimization Algorithm for Collaborative Scheduling of Industrial Equipment. - Bin Lin; Yalin Wang 003; Xujie Tan; Lin Guan; Zhifeng Qiu; Geert Deconinck; Chenliang Liu (ASCC, 2024)

Genetic Algorithm Driven by Translational Mutation Operator for the Scheduling Optimization in the Steelmaking-Continuous Casting Production. - Lin Guan; Yalin Wang 003; Xujie Tan; Chenliang Liu (IIP (1), 2024)

A novel network for semantic segmentation of landslide areas in remote sensing images with multi-branch and multi-scale fusion. - Kai Wang 024; Daojie He; Qingqiang Sun; Lizhi Yi; Xiaofeng Yuan; Yalin Wang 003 (Appl. Soft Comput., 2024)

Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network. - Zhuofu Pan; Qingkai Sui; Yalin Wang 003; Jiang Luo; Jie Chen; Hongtian Chen (CoRR, 2024)

A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. - Yalin Wang 003; Rao Dai; Diju Liu; Kai Wang 024; Xiaofeng Yuan; Chenliang Liu (Eng. Appl. Artif. Intell., 2024)

Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder. - Kai Wang 024; Caoyin Yan; Yanfang Mo; Yalin Wang 003; Xiaofeng Yuan; Chenliang Liu (Eng. Appl. Artif. Intell., 2024)

Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes. - Yitao Chen; Yalin Wang 003; Qingkai Sui; Xiaofeng Yuan; Kai Wang 024; Chenliang Liu (Expert Syst. Appl., 2024)

Unveiling the potential of progressive training diffusion model for defect image generation and recognition in industrial processes. - Yalin Wang 003; Zexiong Zhou; Xujie Tan; Yuqing Pan; Junqi Yuan; Zhifeng Qiu; Chenliang Liu (Neurocomputing, 2024)

Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. - Yalin Wang 003; Xujie Tan; Chenliang Liu; Pei-Qiu Huang; Qingfu Zhang 001; Chunhua Yang 001 (Swarm Evol. Comput., 2024)

Multirate-Former: An Efficient Transformer-Based Hierarchical Network for Multistep Prediction of Multirate Industrial Processes. - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2024)

Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes. - Chen Ou; Hongqiu Zhu; Yuri A. W. Shardt; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2024)

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling. - Xiaofeng Yuan; Yichen Wang; Chen Wang 018; Lingjian Ye; Kai Wang 024; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Feifan Shen (IEEE Trans. Instrum. Meas., 2024)

Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes. - Chenliang Liu; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE CAA J. Autom. Sinica, 2024)

Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network. - Yalin Wang 003; Qingkai Sui; Chenliang Liu; Kai Wang 024; Xiaofeng Yuan; Guangfeng Dong (IEEE Trans. Artif. Intell., 2024)

Enhancing knowledge graph embedding with structure and semantic features. - Yalin Wang 003; Yubin Peng; Jingyu Guo (Appl. Intell., 2024)

Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process. - Yalin Wang 003; Silong Li; Chenliang Liu; Kai Wang 024; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Cybern., 2024)

Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework. - Diju Liu; Yalin Wang 003; Chenliang Liu; Kai Wang 024; Xiaofeng Yuan; Chunhua Yang 001 (IEEE Trans Autom. Sci. Eng., 2024)

Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry. - Xiaofeng Yuan; Nuo Xu; Lingjian Ye; Kai Wang 024; Feifan Shen; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2024)

Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network. - Xiaofeng Yuan; Lingfeng Huang; Lingjian Ye; Yalin Wang 003; Kai Wang 024; Chunhua Yang 001; Weihua Gui 001; Feifan Shen (IEEE Trans. Cybern., 2024)

Operating Condition Recognition of Industrial Flotation Processes Using Visual and Acoustic Bimodal Autoencoder With Manifold Learning. - Chenliang Liu; Yalin Wang 003; Yijing Fang; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2024)

VAE-Based Interpretable Latent Variable Model for Process Monitoring. - Zhuofu Pan; Yalin Wang 003; Yue Cao 004; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems. - Kai Wang 024; Zhiying Guo; Yanfang Mo; Yalin Wang 003; Xiaofeng Yuan (IEEE Trans Autom. Sci. Eng., 2024)

A Deep Residual PLS for Data-Driven Quality Prediction Modeling in Industrial Process. - Xiaofeng Yuan; Weiwei Xu; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE CAA J. Autom. Sinica, 2024)

Improved Adaptive Large Neighborhood Search Algorithm Based on the Two-Stage Framework for Scheduling Multiple Super-Agile Satellites. - Guohua Wu 001; Zhiqing Xiang; Yalin Wang 003; Yi Gu 003; Witold Pedrycz (IEEE Trans. Aerosp. Electron. Syst., 2024)

Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond. - Chenliang Liu; Yalin Wang 003; Chunhua Yang 001; Henry Leung; Xunyuan Yin (IEEE Trans. Ind. Electron., 2024)

Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer. - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Kai Wang 024; Chunhua Yang 001 (IEEE Trans. Knowl. Data Eng., 2024)

From Linear to Nonlinear: An Efficient Industrial Data Attribution Method for Regression Models. - Qingkai Sui; Yalin Wang 003; Yijing Fang; Minghao Han; Chenliang Liu (ICPS, 2025)

An Evolutionary Algorithm with Adaptive Global-Local Diversity for Data-Driven Optimization and Its Industrial Application. - Xujie Tan; Yalin Wang 003; Jing Liao 014; Guohua Wu 001; Qizhang Luo; Chenliang Liu (ICPS, 2025)

A knowledge graph-based standardized modeling and quantitative retrieval method for product defect analysis-related knowledge. - Jingyu Guo; Yalin Wang 003; Shuxian Li; Guanlin Chen (Adv. Eng. Informatics, 2025)

Drone on-demand delivery routing problem considering order splitting and battery swapping. - Shuxuan Li; Tianjun Liao; Guohua Wu 001; Yalin Wang 003; Ponnuthurai Nagaratnam Suganthan (Comput. Ind. Eng., 2025)

Data-driven optimization strategy of raw material procurement under uncertainties of price fluctuations and production demand in industrial enterprises. - Jiang Luo; Yalin Wang 003; Chenliang Liu; Guohua Wu 001; Weihua Gui 001 (Comput. Ind. Eng., 2025)

Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems. - Ruiyi Fang; Kai Wang 024; Xiaofeng Yuan; Zeyu Yang; Yalin Wang 003; Chunhua Yang 001 (Eng. Appl. Artif. Intell., 2025)

Semantic segmentation model based on edge information for rock structural surface traces detection. - Xiaofeng Yuan; Dun Wu; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Shuqiao Cheng; Lingjian Ye; Feifan Shen (Eng. Appl. Artif. Intell., 2025)

A new generative adversarial networks-based fault diagnosis framework: Learning a mapping to estimate fault. - Ling Li; Zhuofu Pan; Yucheng Ma; Zhiwen Chen 001; Jie Chen; Yalin Wang 003 (Neurocomputing, 2025)

From separation to fusion: Screening-assisted bilevel collaborative evolutionary optimization for railway freight allocation. - Yiyin Tang; Yalin Wang 003; Chenliang Liu; Yong Wang; Weihua Gui 001 (Neurocomputing, 2025)

Heterogeneous Attention-Based Graph Convolutional Network for Solving Asymmetric Pickup and Delivery Problem. - Jiayi Li; Guohua Wu 001; Mingfeng Fan; Zhiguang Cao; Yalin Wang 003 (IEEE Trans Autom. Sci. Eng., 2025)

Interpretable Switching Deep Markov Model for Industrial Process Monitoring via Cloud-Edge Collaborative Framework. - Qingkai Sui; Yalin Wang 003; Chenliang Liu; Keke Huang; Chunhua Yang 001 (IEEE Trans. Instrum. Meas., 2025)

A Difference Metric Attention With Position Distance-Based Weighting for Transformer in Data Sequence Modeling of Industrial Processes. - Ziyi Yang; Kai Wang 024; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2025)

Koopman-Constrained Hierarchical Deep State Space Model for Industrial Quality Prediction via Cloud-Edge Collaborative Framework. - Qingkai Sui; Yalin Wang 003; Chenliang Liu; Minghao Han; Chunhua Yang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors. - Chen Ou; Hongqiu Zhu; Yuri A. W. Shardt; Lingjian Ye; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

TsDa-ASAM: Balancing efficiency and accuracy in coke image particle size segmentation via two-stage distillation-aware adaptive segment anything model. - Yalin Wang 003; Yubin Peng; Xujie Tan; Yuqing Pan; Chenliang Liu (Appl. Intell., 2025)

Adaptive Event-Triggered Sliding Mode Load Frequency Control for Cyber-Physical Power Systems Under False Data Injection Attacks. - Weiru Guo; Fang Liu 014; Yalin Wang 003; Denis N. Sidorov; Jun Wu (IEEE Trans. Ind. Informatics, 2025)

Corrections to "Data Mode Related Interpretable Transformer Network for Predictive Modeling and Key Sample Analysis in Industrial Processes". - Diju Liu; Yalin Wang 003; Chenliang Liu; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2025)

Data-Driven Two-Stage Robust Optimization Allocation and Loading for Salt Lake Chemical Enterprise Products Under Demand Uncertainty. - Yiyin Tang; Yalin Wang 003; Chenliang Liu; Qingkai Sui; Yishun Liu; Keke Huang; Weihua Gui 001 (IEEE CAA J. Autom. Sinica, 2025)

Multi-Objective Multi-Drone Collaborative Routing Problem With Heterogeneous Delivery and Pickup Service. - Fangyu Hong; Guohua Wu 001; Yalin Wang 003; Qizhang Luo; Ling Wang 001; Jianmai Shi (IEEE Trans. Intell. Transp. Syst., 2025)

Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application. - Qingkai Sui; Yalin Wang 003; Chenliang Liu; Kai Wang 024; Bei Sun (IEEE Trans. Ind. Informatics, 2025)

Gaussian-based Interval-Aware Transformer With Interval Embedding for Data Sequence Modeling With Irregular Sampling Frequency in Industrial Processes. - Ziyi Yang; Kai Wang 024; Xiaofeng Yuan; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Lingjian Ye; Feifan Shen (IEEE Trans. Ind. Informatics, 2025)

Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences. - Xiaofeng Yuan; Zhenzhen Jia; Zijian Xu 011; Nuo Xu; Lingjian Ye; Kai Wang 024; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001; Feifan Shen (IEEE Trans. Neural Networks Learn. Syst., 2025)