Cellular Similarity based Imputation for Single cell RNA Sequencing Data. - Chenliang Liu; Yuan Zhu; Houwang Zhang (ICBBT, 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)

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)

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)

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)

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)

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)

Evaluate the Correlation Between Electrocardiogram Age and Cardiovascular Disease Using a 12-lead ECG Dataset. - Yuanyuan Tian 003; Xiaoyang Wei; Zhiyuan Li; Yanrui Jin; Mengxiao Wang; Liqun Zhao; Xiaoxue Yang; Chenliang Liu (FSDM, 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)

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)

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 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)