Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process. - Jinliang Ding; Ping Zhou 003; Changxin Liu 003; Tianyou Chai (ISDA (1), 2006)

Interactive Software Platform of Intelligent Supervisory Control for the Mineral Grinding Process. - Jinliang Ding; Yang Cao; Tianyou Chai; Hong Wang 001 (CCA, 2007)

An intelligent approach for supervisory control of grinding product particle size. - Ping Zhou 003; Jinliang Ding; Tianyou Chai; Hong Wang 001; Chun-Yi Su (CDC, 2007)

Case-Based Decision Making Model for Supervisory Control of Ore Roasting Process. - Jinliang Ding; Changxin Liu 003; Ming Wen; Tianyou Chai (ISNN (2), 2008)

Data mining based feedback regulation in operation of hematite ore mineral processing plant. - Jinliang Ding; Qi Chen; Tianyou Chai; Hong Wang 001; Chun-Yi Su (ACC, 2009)

Dynamic prediction model for mixed concentrate grade of mineral processing plant. - Jinliang Ding; Tianyou Chai; Hong Wang 001 (CDC, 2010)

Large-dimensional multi-objective evolutionary algorithms based on improved average ranking. - Weijian Kong; Jinliang Ding; Tianyou Chai; Jing Sun 003 (CDC, 2010)

Stability and strong passivity of nonlinear descriptor systems. - Chunyu Yang 001; Qingling Zhang 001; Tianyou Chai; Jinliang Ding (CDC, 2010)

An adaptive chaotic PSO for parameter optimization and feature extraction of LS-SVM based modelling. - Weijian Cheng; Jinliang Ding; Weijian Kong; Tianyou Chai; S. Joe Qin (ACC, 2011)

Offline Modeling for Product Quality Prediction of Mineral Processing Using Modeling Error PDF Shaping and Entropy Minimization. - Jinliang Ding; Tianyou Chai; Hong Wang 001 (IEEE Trans. Neural Networks, 2011)

Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process. - Guishan Xing; Jinliang Ding; Tianyou Chai; Puya Afshar; Hong Wang 001 (Eng. Appl. Artif. Intell., 2012)

Knowledge-Based Global Operation of Mineral Processing Under Uncertainty. - Jinliang Ding; Tianyou Chai; Hong Wang 001; Xinkai Chen (IEEE Trans. Ind. Informatics, 2012)

A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces. - Weijian Kong; Jinliang Ding; Tianyou Chai; Xiuping Zheng; Shengxiang Yang (CIES, 2013)

Iterative learning based particle size distribution control in grinding process using output PDF method. - Xubin Sun; Jinliang Ding; Hong Wang 001; Tianyou Chai; Hairong Dong 001 (ICCA, 2013)

A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing. - Weijian Kong; Tianyou Chai; Shengxiang Yang; Jinliang Ding (Appl. Soft Comput., 2013)

Effect of pseudo gradient on differential evolutionary for global numerical optimization. - Jinliang Ding; Lipeng Chen; Qingguang Xie; Tianyou Chai; Xiuping Zheng (IEEE Congress on Evolutionary Computation, 2014)

Robust prediction for quality of industrial processes. - Changxin Liu 003; Jinliang Ding; Tianyou Chai (ICIA, 2014)

GA-based principal component selection for production performance estimation in mineral processing. - Jinliang Ding; Liang Zhao; Changxin Liu 003; Tianyou Chai (Comput. Electr. Eng., 2014)

Data-based adaptive online prediction model for plant-wide production indices. - Changxin Liu 003; Jinliang Ding; Anthony J. Toprac; Tianyou Chai (Knowl. Inf. Syst., 2014)

Integrated Optimization for the Automation Systems of Mineral Processing. - Tianyou Chai; Jinliang Ding; Gang Yu; Hong Wang 001 (IEEE Trans Autom. Sci. Eng., 2014)

Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control. - Weijian Kong; Tianyou Chai; Jinliang Ding; Shengxiang Yang (IEEE Trans Autom. Sci. Eng., 2014)

Reference point based prediction for evolutionary dynamic multiobjective optimization. - Yaochu Jin; Cuie Yang; Jinliang Ding; Tianyou Chai (CEC, 2016)

Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems. - Chao-Li Sun; Yaochu Jin; Jinliang Ding; Jianchao Zeng 001 (GECCO (Companion), 2016)

Small data driven evolutionary multi-objective optimization of fused magnesium furnaces. - Dan Guo; Tianyou Chai; Jinliang Ding; Yaochu Jin (SSCI, 2016)

A preferred learning based adaptive differential evolution algorithm for large scale optimization. - Xinran Ma; Jinliang Ding (SSCI, 2016)

An intelligent factory-wide optimal operation system for continuous production process. - Jinliang Ding; Tianyou Chai; Hongfeng Wang; Junwei Wang 001; Xiuping Zheng (Enterp. Inf. Syst., 2016)

Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction. - Junwei Wang 001; Raja R. Muddada; Hongfeng Wang; Jinliang Ding; Yingzi Lin; Changli Liu; Wen-Jun Zhang 005 (IEEE Syst. J., 2016)

Data-Based Multiobjective Plant-Wide Performance Optimization of Industrial Processes Under Dynamic Environments. - Jinliang Ding; Hamidreza Modares; Tianyou Chai; Frank L. Lewis (IEEE Trans. Ind. Informatics, 2016)

Gasoline dry point prediction of fractionation processes using dynamic inner partial least squares. - Xue Xu; Qiang Liu 018; Jinliang Ding (ASCC, 2017)

Two-stage assortative mating for multi-objective multifactorial evolutionary optimization. - Cuie Yang; Jinliang Ding; Kay Chen Tan; Yaochu Jin (CDC, 2017)

Thematic issue on "bio-inspired learning for data analysis". - Yaochu Jin; Jinliang Ding; Yongsheng Ding (Memetic Comput., 2017)

An online learning neural network ensembles with random weights for regression of sequential data stream. - Jinliang Ding; Haitao Wang; Chuanbao Li; Tianyou Chai; Junwei Wang 001 (Soft Comput., 2017)

Special issue on "Data-driven evolutionary optimization". - Yaochu Jin; Jinliang Ding (Soft Comput., 2017)

Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems. - Chaoli Sun; Yaochu Jin; Ran Cheng; Jinliang Ding; Jianchao Zeng 001 (IEEE Trans. Evol. Comput., 2017)

Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system. - Yaping Fu; Jinliang Ding; Hongfeng Wang; Junwei Wang 001 (Appl. Soft Comput., 2018)

Incremental data-driven optimization of complex systems in nonstationary environments. - Cuie Yang; Jinliang Ding; Yaochu Jin; Tianyou Chai (Sci. China Inf. Sci., 2018)

A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems. - Chaoli Sun; Jinliang Ding; Jianchao Zeng 001; Yaochu Jin (Memetic Comput., 2018)

Off-Policy Q-Learning: Set-Point Design for Optimizing Dual-Rate Rougher Flotation Operational Processes. - Jinna Li; Tianyou Chai; Frank L. Lewis; Jialu Fan; Zhengtao Ding; Jinliang Ding (IEEE Trans. Ind. Electron., 2018)

NMR principle analysis based object detection for intelligent measurement of crude oil moisture content. - Ling Yi; Jinliang Ding; Changxin Liu 003 (ASCC, 2019)

Reference Vector Based Multidirectional Prediction for Evolutionary Dynamic Multiobjective Optimization. - Qiang Liu 018; Jinliang Ding (CEC, 2019)

A Novel On-line VI-ADP for Nonlinear Discrete-time Systems. - Chun Li; Jinliang Ding; Changxin Liu 003; Frank L. Lewis (ICCA, 2019)

Evolutionary Optimization of Liquid State Machines for Robust Learning. - Yan Zhou 008; Yaochu Jin; Jinliang Ding (ISNN (1), 2019)

Construction of prediction intervals for carbon residual of crude oil based on deep stochastic configuration networks. - Jun Lu; Jinliang Ding (Inf. Sci., 2019)

Constrained dynamic multi-objective evolutionary optimization for operational indices of beneficiation process. - Cuie Yang; Jinliang Ding (J. Intell. Manuf., 2019)

To the special Issue on "Metaheuristics for optimization of complex process engineering". - Jinliang Ding; Yaochu Jin (Nat. Comput., 2019)

Effective Hot Rolling Batch Scheduling Algorithms in Compact Strip Production. - Qing-da Chen; Quan-Ke Pan; Biao Zhang 003; Jinliang Ding; Junqing Li 001 (IEEE Trans Autom. Sci. Eng., 2019)

Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes. - Cuie Yang; Jinliang Ding; Yaochu Jin; Chengzhi Wang; Tianyou Chai (IEEE Trans Autom. Sci. Eng., 2019)

Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems. - Dan Guo; Yaochu Jin; Jinliang Ding; Tianyou Chai (IEEE Trans. Cybern., 2019)

Generalized Multitasking for Evolutionary Optimization of Expensive Problems. - Jinliang Ding; Cuie Yang; Yaochu Jin; Tianyou Chai (IEEE Trans. Evol. Comput., 2019)

Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing. - Jinliang Ding; Cuie Yang; Qiong Xiao; Tianyou Chai; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Link Quality Estimation in Industrial Temporal Fading Channel With Augmented Kalman Filter. - Fei Qin; Qilong Zhang; Wuxiong Zhang; Yang Yang 001; Jinliang Ding; Xuewu Dai (IEEE Trans. Ind. Informatics, 2019)

Robust Optimal Tracking Control for Linear Systems via Adaptive Dynamic Programming method. - Zhenfei Xiao; Jinna Li; Jinliang Ding; Shuai Liu 001; Guoliang Wang 001 (ICCA, 2020)

Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines. - Yan Zhou 008; Yaochu Jin; Jinliang Ding (Neurocomputing, 2020)

Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties. - Qing-da Chen; Jinliang Ding; Shengxiang Yang; Tianyou Chai (IEEE Trans. Control. Syst. Technol., 2020)

Nonzero-Sum Game Reinforcement Learning for Performance Optimization in Large-Scale Industrial Processes. - Jinna Li; Jinliang Ding; Tianyou Chai; Frank L. Lewis (IEEE Trans. Cybern., 2020)

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems. - Qing-da Chen; Jinliang Ding; Shengxiang Yang; Tianyou Chai (IEEE Trans. Evol. Comput., 2020)

Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions. - Cuie Yang; Jinliang Ding; Yaochu Jin; Tianyou Chai (IEEE Trans. Evol. Comput., 2020)

Mixed-Distribution-Based Robust Stochastic Configuration Networks for Prediction Interval Construction. - Jun Lu; Jinliang Ding (IEEE Trans. Ind. Informatics, 2020)

Ensemble Stochastic Configuration Networks for Estimating Prediction Intervals: A Simultaneous Robust Training Algorithm and Its Application. - Jun Lu; Jinliang Ding; Xuewu Dai; Tianyou Chai (IEEE Trans. Neural Networks Learn. Syst., 2020)

Robust Event-Triggered Model Predictive Control for Multiple High-Speed Trains With Switching Topologies. - Hui Zhao 017; Xuewu Dai; Qi Zhang 052; Jinliang Ding (IEEE Trans. Veh. Technol., 2020)

A novel adaptive dynamic programming based on tracking error for nonlinear discrete-time systems. - Chun Li; Jinliang Ding; Frank L. Lewis; Tianyou Chai (Autom., 2021)

A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization. - Jiaxin Chen; Jinliang Ding; Kay Chen Tan; Qingda Chen (Memetic Comput., 2021)

Knee-Based Decision Making and Visualization in Many-Objective Optimization. - Zhenan He 001; Gary G. Yen; Jinliang Ding (IEEE Trans. Evol. Comput., 2021)

Guest Editorial: Industrial Artificial Intelligence for Smart Manufacturing. - Tao Yang 003; Jinliang Ding; Kyriakos G. Vamvoudakis; S. Joe Qin (IEEE Trans. Ind. Informatics, 2021)

Reinforcement Learning Based Decision Making of Operational Indices in Process Industry Under Changing Environment. - Chao Liu; Jinliang Ding; Jiyuan Sun (IEEE Trans. Ind. Informatics, 2021)

A Novel Multimanifold Joint Projections Model for Multimode Process Monitoring. - Xue Xu; Jinliang Ding; Qiang Liu 018; Tianyou Chai (IEEE Trans. Ind. Informatics, 2021)

DMGAN: Adversarial Learning-Based Decision Making for Human-Level Plant-Wide Operation of Process Industries Under Uncertainties. - Nianzu Zheng; Jinliang Ding; Tianyou Chai (IEEE Trans. Neural Networks Learn. Syst., 2021)

Resilient Cooperative Control for High-Speed Trains Under Denial-of-Service Attacks. - Hui Zhao 017; Xuewu Dai; Lei Ding 005; Dongliang Cui; Jinliang Ding; Tianyou Chai (IEEE Trans. Veh. Technol., 2021)

Gaussian Process-assisted Evolutionary Algorithm for Constrained Expensive Multi-Objective Optimization. - Haofeng Wu; Jinliang Ding; Qingda Chen (ASCC, 2022)

A novel stochastic configuration network with iterative learning using privileged information and its application. - Jun Lu; Jinliang Ding (Inf. Sci., 2022)

Thematic issue on knowledge and data driven evolutionary multi-objective optimization. - Ran Cheng; Jinliang Ding; Wenli Du; Yaochu Jin (Memetic Comput., 2022)

Evolutionary Optimization Under Uncertainty: The Strategies to Handle Varied Constraints for Fluid Catalytic Cracking Operation. - Qing-da Chen; Jinliang Ding; Tianyou Chai; Quanke Pan (IEEE Trans. Cybern., 2022)

Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization. - Huan Zhang 016; Jinliang Ding; Min Jiang 005; Kay Chen Tan; Tianyou Chai (IEEE Trans. Cybern., 2022)

A Knowledge Transfer Based Scheduling Algorithm for Large-Scale Refinery Production. - Yuandong Chen; Jinliang Ding; Tianyou Chai (IEEE Trans. Ind. Informatics, 2022)

Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty. - Jinna Li; Jinliang Ding; Tianyou Chai; Frank L. Lewis; Sarangapani Jagannathan (IEEE Trans. Neural Networks Learn. Syst., 2022)

Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals. - Jun Lu; Jinliang Ding; Changxin Liu 003; Tianyou Chai (IEEE Trans. Neural Networks Learn. Syst., 2022)

Concept Drift-Tolerant Transfer Learning in Dynamic Environments. - Cuie Yang; Yiu-Ming Cheung; Jinliang Ding; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network. - Dan Guo; Xilu Wang 001; Kailai Gao; Yaochu Jin; Jinliang Ding; Tianyou Chai (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm. - Haiyue Zhu; Qingda Chen; Jinliang Ding; Xingyi Zhang 001; Hongfeng Wang (SSCI, 2023)

Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis. - Jiancheng Zhao; Jiaqi Yue; Liangjun Feng; Chunhui Zhao 001; Jinliang Ding (CoRR, 2023)

A Neuro-Inspired Hierarchical Reinforcement Learning for Motor Control. - Pei Zhang; Zhaobo Hua; Jinliang Ding (CoRR, 2023)

A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization. - Cuie Yang; Jinliang Ding; Yaochu Jin; Tianyou Chai (Evol. Comput., 2023)

Spatiotemporal Multiscale Correlation Embedding With Process Variable Reorder for Industrial Soft Sensing. - Jiawei Chen 007; Pengyu Song; Chunhui Zhao 001; Jinliang Ding (IEEE Trans. Instrum. Meas., 2023)

An effective zero-shot learning approach for intelligent fault detection using 1D CNN. - Siyu Zhang; Hua-Liang Wei; Jinliang Ding (Appl. Intell., 2023)

High-Dimensional Data Global Sensitivity Analysis Based on Deep Soft Sensor Model. - Ling Yi; Jinliang Ding; Changxin Liu 003; Tianyou Chai (IEEE Trans. Cybern., 2023)

Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines. - Yan Zhou 008; Yaochu Jin; Yao Sun; Jinliang Ding (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

A Flexible Probabilistic Framework With Concurrent Analysis of Continuous and Categorical Data for Industrial Fault Detection and Diagnosis. - Junhao Chen; Chunhui Zhao 001; Jinliang Ding (IEEE Trans. Ind. Informatics, 2023)

Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. - Cuie Yang; Yiu-Ming Cheung; Jinliang Ding; Kay Chen Tan; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Pyramid-type zero-shot learning model with multi-granularity hierarchical attributes for industrial fault diagnosis. - Xu Chen 045; Chunhui Zhao 001; Jinliang Ding (Reliab. Eng. Syst. Saf., 2023)

A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization. - Haofeng Wu; Qingda Chen; Cuie Yang; Jinliang Ding; Yaochu Jin (CEC, 2024)

Error-based adaptive optimal tracking control of nonlinear discrete-time systems. - Chun Li; Jinliang Ding; Frank L. Lewis; Tianyou Chai (Sci. China Inf. Sci., 2024)

Hierarchical learning control for autonomous robots inspired by central nervous system. - Pei Zhang; Zhaobo Hua; Jinliang Ding (CoRR, 2024)

MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning. - Jiaxin Chen; Jinliang Ding; Kay Chen Tan; Jiancheng Qian; Ke Li 001 (CoRR, 2024)

Reduced Network Cumulative Constraint Violation for Distributed Bandit Convex Optimization under Slater Condition. - Kunpeng Zhang; Xinlei Yi; Jinliang Ding; Ming Cao 001; Karl Henrik Johansson; Tao Yang 003 (CoRR, 2024)

Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems. - Yongfu Wang; Yan Liu 064; Jinliang Ding; Dianhui Wang (Eng. Appl. Artif. Intell., 2024)

Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions. - Yongchao Zhang 004; Jinliang Ding; Yongbo Li; Zhaohui Ren; Ke Feng (Eng. Appl. Artif. Intell., 2024)

Multimodal Decoupled Representation With Compatibility Learning for Explicit Nonstationary Process Monitoring. - Pengyu Song; Chunhui Zhao 001; Jinliang Ding; Shunyi Zhao (IEEE Trans. Ind. Electron., 2024)

Optimal Moving-Target Circumnavigation Control of Multiple Wheeled Mobile Robots Based on Adaptive Dynamic Programming. - Yanhong Luo; Yannan Li; Jinliang Ding; Huaguang Zhang (IEEE Trans. Netw. Sci. Eng., 2024)

Distributed Optimal Resource Allocation With Local Feasibility Constraints for High-Order Multiagent Systems. - Zeli Zhao; Jinliang Ding; Jin-Xi Zhang; Tianyou Chai (IEEE Trans. Control. Netw. Syst., 2024)

Low-Rank Multimanifold Embedding Learning for Multimode Process Monitoring. - Yuanjian Fu; Jinliang Ding; Xue Xu (IEEE Trans. Ind. Informatics, 2024)

Model-Free Q-Learning for the Tracking Problem of Linear Discrete-Time Systems. - Chun Li; Jinliang Ding; Frank L. Lewis; Tianyou Chai (IEEE Trans. Neural Networks Learn. Syst., 2024)

Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001; Jinliang Ding (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-Supervised Learning and Multisource Heterogeneous Information Fusion Based Quality Anomaly Detection for Heavy-Plate Shape. - Datong Li; Jun Lu; Tongkang Zhang; Jinliang Ding (IEEE Trans Autom. Sci. Eng., 2024)

A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions. - Haofeng Wu; Qingda Chen; Yaochu Jin; Jinliang Ding; Tianyou Chai (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

From Coarse to Fine: Hierarchical Zero-Shot Fault Diagnosis With Multigrained Attributes. - Xu Chen 045; Baolin Zhang; Chunhui Zhao 001; Jinliang Ding; Wenhai Wang (IEEE Trans. Fuzzy Syst., 2024)

Fast Sensitivity-Analysis-Based Online Self-Organizing Broad Learning System. - Ling Yi; Jinliang Ding; Changxin Liu 003; Tianyou Chai (IEEE Trans. Ind. Informatics, 2024)

SA-MLP-Mixer: A Compact All-MLP Deep Neural Net Architecture for UAV Navigation in Indoor Environments. - Ling Yi; Yu Wu; Amr Tolba; Tengfei Li; Shiqi Ren; Jinliang Ding (IEEE Internet Things J., 2024)

Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments. - Qingda Chen; Jinliang Ding; Gary G. Yen; Shengxiang Yang; Tianyou Chai (IEEE Trans. Evol. Comput., 2024)

Structure Feature Extraction for Hierarchical Alarm Flood Classification and Alarm Prediction. - Chang Tian; Pengyu Song; Chunhui Zhao 001; Jinliang Ding (IEEE Trans Autom. Sci. Eng., 2024)

A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization. - Jiaxin Chen; Jinliang Ding; Ke Li 001; Kay Chen Tan; Tianyou Chai (IEEE Trans. Cybern., 2024)

iHPPPVis: Interactive Visual Analytics Approach for Production Performance Monitoring of Heavy-Plate Production Process. - Tongkang Zhang; Jinliang Ding; Cheng Zeng; Kaifeng Guan; Ye Liu; Chunhui Zhao 001; Tianyou Chai (IEEE Trans. Cybern., 2024)

Fault-Tolerant Prescribed Performance Control of Wheeled Mobile Robots: A Mixed-Gain Adaption Approach. - Jin-Xi Zhang; Jinliang Ding; Tianyou Chai (IEEE Trans. Autom. Control., 2024)

Distributed Knowledge Transfer for Evolutionary Multitask Multimodal Optimization. - Kailai Gao; Cuie Yang; Jinliang Ding; Kay Chen Tan; Tianyou Chai (IEEE Trans. Evol. Comput., 2024)

A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems. - Yuanchao Liu; Jianchang Liu; Jinliang Ding; Shangshang Yang; Yaochu Jin (IEEE Trans. Evol. Comput., 2024)

Dynamic Inner Canonical Variate Network for Incipient Fault Monitoring. - Qiang Liu 018; Congcong Zhang; Chao Yang 019; Zhiwen Chen 001; Jinliang Ding (IEEE Trans. Ind. Informatics, 2024)

Self-Tuning Transfer Dynamic Convolution Autoencoder for Quality Prediction of Multimode Processes With Shifts. - Chao Yang 019; Qiang Liu 018; Chen Wang 018; Jinliang Ding; Yiu-ming Cheung (IEEE Trans. Ind. Informatics, 2024)

A Reinforcement Learning Based Large-Scale Refinery Production Scheduling Algorithm. - Yuandong Chen; Jinliang Ding; Qingda Chen (IEEE Trans Autom. Sci. Eng., 2024)

Constrained Reinforcement Learning-Based Closed-Loop Reference Model for Optimal Tracking Control of Unknown Continuous-Time Systems. - Haoran Zhang; Chunhui Zhao 001; Jinliang Ding (IEEE Trans Autom. Sci. Eng., 2024)

Surrogate-Assisted Evolutionary Multi-Objective Optimization of Medium-Scale Problems by Random Grouping and Sparse Gaussian Modeling. - Haofeng Wu; Yaochu Jin; Kailai Gao; Jinliang Ding; Ran Cheng (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Input-Output Directed Dependency: Driving-Disentangled Dynamic Mode Decomposition for Control System Representation Learning and Monitoring. - Xu Chen 045; Chunhui Zhao 001; Jinliang Ding; Shunyi Zhao (IEEE Trans. Ind. Electron., 2024)

Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning. - Huan Zhang 016; Jinliang Ding; Liang Feng 001; Kay Chen Tan; Ke Li 001 (IEEE Trans. Cybern., 2024)

Brain-Inspired Modular Reservoir based on Spiking Neurons for Multi-Task Learning. - Yan Zhou 008; Yaochu Jin; Jinliang Ding (CEC, 2025)

Multi-model based MPC to improve the ramp rate for renewable energy consumption. - Shiquan Ma; Jinliang Ding (Neurocomputing, 2025)

Manifold-aware and sparsity discriminant collaborative representation model and its application to multimode process monitoring. - Yuanjian Fu; Fubing Xia; Jinliang Ding; Xue Xu (Knowl. Based Syst., 2025)

Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time. - Zhening Liu; Handing Wang; Jinliang Ding; Cuie Yang; Yaochu Jin (Swarm Evol. Comput., 2025)

Predefined Time Anti-Swing Control of Quadrotor UAV Transportation Systems via 3-D Spatial Decomposition. - Yanhong Luo; Yannan Li; Jinliang Ding (IEEE Trans Autom. Sci. Eng., 2025)

Memory-Based Event-Triggered Fault-Tolerant Consensus Control of Nonlinear Multi-Agent Systems and Its Applications. - Junyi Wang 003; Ying Zheng; Jinliang Ding; Huaguang Zhang; Jiayue Sun (IEEE Trans Autom. Sci. Eng., 2025)

From Coarse to Fine: A Training-Free Framework for Hierarchical Traceability of Adversarial Attacks in Remote Sensing Systems. - Zhentong Zhang; Xinde Li; Guoliang Wu; Jianye Yuan; Jinliang Ding; Zhijun Li 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Shareability-Exclusivity Collaborative Representation and Its Application for Distributed Process Monitoring. - Yuanjian Fu; Jinliang Ding; Xue Xu (IEEE Trans. Instrum. Meas., 2025)

Sensitivity Analysis-Based Explainable Diffusion Transformers for Anomaly Detection in Consumer Electronics Manufacturing. - Ling Yi; Shiyu Liu; Li Zhou 002; Zhaolong Ning; Jiajie Song; Qingda Chen; Ke Zhang; Jinliang Ding (IEEE Trans. Consumer Electron., 2025)

Explainable Attention-Based AAV Target Detection for Search and Rescue Scenarios. - Shiyu Liu; Ling Yi; Xuanrui Xiong; Amr Tolba; Jinliang Ding; Chun Li (IEEE Internet Things J., 2025)

Distributed Optimal Resource Allocation for High-Order Nonlinear Multiagent Systems Over Unbalanced Digraphs. - Zeli Zhao; Jinliang Ding; Jin-Xi Zhang; Yang Shi 001; Tianyou Chai (IEEE Trans. Control. Netw. Syst., 2025)

Multiasynchronous Extended Dissipative Sliding Mode Control of LC Circuits in Grid-Connected System Under Actuator Attacks. - Junyi Wang 003; Ying Zheng; Jinliang Ding; Xiangpeng Xie 001; Wenjun Zhang 005 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions. - Xiaoxu Jiang; Qingda Chen; Jinliang Ding; Xingyi Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Adaptive Multiresampling Learning Based on Dual-Scale Feature Aggregation for Industrial Quality Prediction. - Kesheng Zhang; Like Li; Xiang Li 084; Jinliang Ding; Shen Yin (IEEE Trans. Ind. Informatics, 2025)

FT-CPG: Learning Central Pattern Generators for Fault-Tolerant Quadruped Locomotion Under Multi-Joint Failures. - Pei Zhang; Zhaobo Hua; Qiyu Qiu; Jinliang Ding (IEEE Robotics Autom. Lett., 2025)

Fuzzy Hierarchical Stochastic Configuration Networks for Industrial Soft Sensor Modeling. - Xinyu Zhou; Jun Lu; Jinliang Ding (IEEE Trans. Fuzzy Syst., 2025)

Sparse Generalized Robust Stochastic Configuration Networks and Industrial Applications. - Jun Lu; Jinliang Ding (IEEE Trans. Ind. Informatics, 2025)

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion. - Qi Liu 027; Xiaopeng Zhang; Mingshan Tan; Shuaikang Ma; Jinliang Ding; Yanjie Li (CoRR, 2025)

A Dual Mutation-Based Evolutionary Algorithm for Dynamic Multiobjective Optimization With Undetectable Changes. - Yuanchao Liu; Lixin Tang; Jinliang Ding; Qingda Chen; Kanrong Liu; Jianchang Liu (IEEE Trans. Evol. Comput., 2025)

MBL-CPDP: A Multi-Objective Bilevel Method for Cross-Project Defect Prediction. - Jiaxin Chen; Jinliang Ding; Kay Chen Tan; Jiancheng Qian; Ke Li 001 (IEEE Trans. Software Eng., 2025)

Cyclic Performance Monitoring-Based Fault-Tolerant Funnel Control of Unknown Nonlinear Systems With Actuator Failures. - Jin-Xi Zhang; Jinliang Ding; Tianyou Chai (IEEE Trans. Autom. Control., 2025)

A Central Motor System Inspired Pretraining Reinforcement Learning for Robotic Control. - Pei Zhang; Zhaobo Hua; Jinliang Ding (IEEE Trans. Syst. Man Cybern. Syst., 2025)