百晓学者学者目录

丁进良

副教授、博士生导师、教授、讲师,东北大学

精选作品

期刊论文

2026

Fixed-Time Sensor Fault Detection Observer With Actuator Fault Decoupling for Attack-Free Consensus Systems

Yuxiang Hu, Xuewu Dai, Jinliang Ding, Tian-You Chai

IEEE Transactions on Control of Network Systems

2026

SDADE: A State-Aware Disturbance Adaptive Differential Evolution Algorithm

Yuan-Dong Chen, En Yang, Jinliang Ding, De-Wang Chen, Zhen-Yu Meng

Knowledge-Based Systems

2026

Temporal supervised generative adversarial functional causal model for root cause diagnosis

Qiang Liu, Fengnian Zhao, Chao-Hong Yang, Jinliang Ding

Journal of Process Control

2026

Multi-Agent Reinforcement Learning-Based Dynamic Modular Configuration for Large-Scale Multi-Objective Optimization

Kailai Gao, Cuie Yang, Jinliang Ding

IEEE Transactions on Emerging Topics in Computational Intelligence

2026

Cross-Phase Knowledge Transfer via Variable Space Alignment for Expensive Incremental Optimization

Fei Li, Xun Huang, Cuie Yang, Yuan-Chao Liu, Jinliang Ding

IEEE Transactions on Evolutionary Computation

2025

面向可再生能源消纳的火电机组控制结构综合与分析

马士全,丁进良

《自动化学报》

2025

A fault-tolerant target tracking localization algorithm based on extended dimension cubature kalman filter and variational bayesian

Ze-Dong Liang, Lu Liu, Xiao-Meng Zhang, Shuo Zhang, Jinliang Ding, Hongli Xu, Xiang-Yue Zhang, Qi Liu

Signal Processing

2025

Automated machine learning-assisted enhanced product carbon footprint tracking and analysis in refinery industry: A graph-based life cycle assessment framework

Tingwei Zhang, Xin Peng, Wei-Min Zhong, Feifei Shen, Jinliang Ding

Journal of Cleaner Production

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

Yuan-Jian Fu, Fubing Xia, Jinliang Ding, Xue Xu

Knowledge-Based Systems

2025

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion

Qi Liu, Xiaopeng Zhang, Mingshan Tan, Shuaikang Ma, Jinliang Ding, Yanjie Li

arXiv.org

2025

Sample-efficient backtrack temporal difference deep reinforcement learning

Qi Liu, Pengbin Chen, Ke Lin, Kaidong Zhao, Jinliang Ding, Yanjie Li

Knowledge-Based Systems

2025

Brain-Inspired Modular Reservoir based on Spiking Neurons for Multi-Task Learning

Yan Zhou, Yao-Chu Jin, Jinliang Ding

IEEE Congress on Evolutionary Computation

2025

Process-Aware Hierarchical Transformer with Cross-Stage Attention for Fault Detection

Shiqi Ren, Hao-Yuan Wang, Cuie Yang, Jinliang Ding

International Conference on Computational Intelligence and Security

2025

Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time

Zhe-Ning Liu, Handing Wang, Jinliang Ding, Cuie Yang, Yao-Chu Jin

Swarm and Evolutionary Computation

2025

A Multi-Region Transfer Algorithm for Dynamic Multi-Task Multi-Objective Optimization

Yating Lin, Jinliang Ding, Cuie Yang

Mind

2025

Fixed-Time Anti-Swing Control of Quadrotor UAV Slung-Load System With Unknown Cable Length and Load Mass

Yannan Li, Yanhong Luo, Jinliang Ding

IEEE Transactions on Systems Man and Cybernetics Systems

2025

Predefined Time Anti-Swing Control of Quadrotor UAV Transportation Systems via 3-D Spatial Decomposition

Yanhong Luo, Yannan Li, Jinliang Ding

IEEE Transactions on Automation Science and Engineering

2024

基于交互可视分析的多规格厚板板形质量异常诊断与回溯

张同康,王睿博,曾诚,丁进良

《中国科学:技术科学》

2024

面向双碳目标的自动化和智能化理论与技术

柴天佑,钱锋,管晓宏,丁进良,堵威,徐占伯,杨涛,刘克,何杰,宋苏,赵瑞珍,王志衡,刘屿

《中国科学基金》

2024

Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments

Qing-da Chen, Jinliang Ding, Gary G. Yen, Sheng-Xiang Yang, Tian-You Chai

IEEE Transactions on Evolutionary Computation

2024

Low-Rank Multimanifold Embedding Learning for Multimode Process Monitoring

Yuan-Jian Fu, Jinliang Ding, Xue Xu

IEEE Transactions on Industrial Informatics

2024

A Surrogate-Assisted Differential Evolution With Knowledge Transfer for Expensive Incremental Optimization Problems

Yuan-Chao Liu, Jian-Chang Liu, Jinliang Ding, Shang-Shang Yang, Yaochu Jin

IEEE Transactions on Evolutionary Computation

2024

Structure Feature Extraction for Hierarchical Alarm Flood Classification and Alarm Prediction

Chang Tian, Pengyu Song, Chunhui Zhao, Jinliang Ding

IEEE Transactions on Automation Science and Engineering

2024

Multimodal Decoupled Representation With Compatibility Learning for Explicit Nonstationary Process Monitoring

Pengyu Song, Chunhui Zhao, Jinliang Ding, Shun-Yi Zhao

IEEE transactions on industrial electronics (1982. Print)

2024

Distributed Knowledge Transfer for Evolutionary Multitask Multimodal Optimization

Kailai Gao, Cuie Yang, Jinliang Ding, K. Tan, Tian-You Chai

IEEE Transactions on Evolutionary Computation

2024

A Reinforcement Learning Based Large-Scale Refinery Production Scheduling Algorithm

Yuan-Dong Chen, Jinliang Ding, Qingda Chen

IEEE Transactions on Automation Science and Engineering

2024

Self-Supervised Learning and Multisource Heterogeneous Information Fusion Based Quality Anomaly Detection for Heavy-Plate Shape

Da-Tong Li, Jun Lu, Tong-Kang Zhang, Jinliang Ding

IEEE Transactions on Automation Science and Engineering

2024

ConGCNet: Convex geometric constructive neural network for Industrial Internet of Things

Jing Nan, Wei Dai, Chau Yuen, Jinliang Ding

Journal of Automation and Intelligence

2024

Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems

Yongfu Wang, Yan Liu, Jinliang Ding, Dianhui Wang

Engineering applications of artificial intelligence

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 Transactions on Network Science and Engineering

2023

Pyramid-type zero-shot learning model with multi-granularity hierarchical attributes for industrial fault diagnosis

Xu Chen, Chunhui Zhao, Jinliang Ding

Reliability Engineering & System Safety,Vol. 240

2023

不确定工业过程运行指标异步更新强化学习决策算法

李金娜,袁林,丁进良

《自动化学报》

2023

基于预测与分解策略的大规模炼油过程生产调度算法

陈远东,丁进良

《控制理论与应用》

2023

基于RAGAN的工业过程运行指标前馈-反馈多步校正

杨宇晴,王德睿,丁进良

《自动化学报》

2023

面向厚板板形质量监控与异常诊断的大数据可视分析

丁进良,关凯丰,张同康

《控制与决策》

2023

基于可视化的厚板板形异常分析系统

徐德鹏,张同康,刘长鑫,刘晔,丁进良

《控制工程》

2023

面向工业监控典型监督任务的深度迁移学习方法:现状、挑战与展望

柴铮,汪嘉业,赵春晖,丁进良,孙优贤

《中国科学:信息科学》

2023

Enhanced MPC based on unknown state estimation and control compensation

Xiaoyang Sun, Ping Zhou, Jinliang Ding, Jun-Li Qiao

Journal of Process Control

2023

Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes

Pengyu Song, Chunhui Zhao, Biao Huang, Jinliang Ding

IEEE Transactions on Neural Networks and Learning Systems

2023

Spatiotemporal Multiscale Correlation Embedding With Process Variable Reorder for Industrial Soft Sensing

Jiawei Chen, Pengyu Song, Chunhui Zhao, Jinliang Ding

IEEE Transactions on Instrumentation and Measurement

2023

Surrogate-Assisted Cooperative Co-evolutionary Reservoir Architecture Search for Liquid State Machines

Yan Zhou, Yaochu Jin, Yao Sun, Jinliang Ding

IEEE Transactions on Emerging Topics in Computational Intelligence

2023

Error-based adaptive optimal tracking control of nonlinear discrete-time systems

Chun Li, Jinliang Ding, Frank L. Lewis, Tian-You Chai

Science China Information Sciences

2023

Distributed Optimal Coordination of Microgrid Systems over Unbalanced Digraph

Zeli Zhao, Jinliang Ding, Jin-Xi Zhang

2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE)

2023

Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis

Jiancheng Zhao, Jiaqi Yue, Liangjun Feng, Chunhui Zhao, Jinliang Ding

arXiv.org

2023

A Flexible Probabilistic Framework With Concurrent Analysis of Continuous and Categorical Data for Industrial Fault Detection and Diagnosis

Junhao Chen, Chunhui Zhao, Jinliang Ding

IEEE Transactions on Industrial Informatics

2022

炼油生产调度研究现状与挑战

陈远东,丁进良

《控制与决策》

2022

基于多动作并行异步深度确定性策略梯度的选矿运行指标决策方法

李悄然,丁进良

《控制与决策》

2022

基于优选特征子集的厚板板形质量预测分析

邢玉鹏,张同康,陆军,丁进良

《计算机集成制造系统》

2022

Similarity and sparsity collaborative embedding and its application to robust process monitoring

Xue Xu, Jinliang Ding

Control Engineering Practice

2022

Model-Free Q-Learning for the Tracking Problem of Linear Discrete-Time Systems

Chun Li, Jinliang Ding, F. Lewis, Tian-You Chai

IEEE Transactions on Neural Networks and Learning Systems

2022

A Knowledge Transfer Based Scheduling Algorithm for Large-Scale Refinery Production

Yuandong Chen, Jinliang Ding, Tian-You Chai

IEEE Transactions on Industrial Informatics

2022

Contrastive Learning Assisted-Alignment for Partial Domain Adaptation

Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, K. Tan, Bing Xue, Meng-Jie Zhang

IEEE Transactions on Neural Networks and Learning Systems

2022

Online reinforcement learning with passivity-based stabilizing term for real time overhead crane control without knowledge of the system model

Haoran Zhang, Chunhui Zhao, Jinliang Ding

Control Engineering Practice

2022

Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network

Dan Guo, Xi-Lu Wang, Kailai Gao, Yaochu Jin, Jinliang Ding, Tianyou Chai

IEEE Transactions on Systems, Man & Cybernetics. Systems

2022

Evolutionary optimization of large complex problems

Han-Ding Wang, Chaoli Sun, Jinliang Ding, Y. Ong

Complex & Intelligent Systems

2022

A novel stochastic configuration network with iterative learning using privileged information and its application

Jun Lu, Jinliang Ding

Information Sciences

2022

High-Dimensional Data Global Sensitivity Analysis Based on Deep Soft Sensor Model

Ling Yi, Jinliang Ding, Chang-Xin Liu, Tian-You Chai

IEEE Transactions on Cybernetics

2022

Thematic issue on knowledge and data driven evolutionary multi-objective optimization

Ran Cheng, Jinliang Ding, Wen-Li Du, Yaochu Jin

Memetic Computing

2022

Sparse Causality Analysis Approach with Time-varying Parameters for Root Cause Localization of Nonstationary Process

Pengyu Song, Chunhui Zhao, Biao Huang, Jinliang Ding

2022 4th International Conference on Industrial Artificial Intelligence (IAI)

2022

Correction to: Evolutionary optimization of large complex problems

Han-Ding Wang, Chaoli Sun, Jinliang Ding, Y. Ong

Complex & Intelligent Systems

2022

Data-driven constrained reinforcement learning for optimal control of a multistage evaporation process

Yao Yao, Jinliang Ding, Chunhui Zhao, Yonggang Wang, Tianyou Chai

Control Engineering Practice

2022

An effective zero-shot learning approach for intelligent fault detection using 1D CNN

Si-Yu Zhang, Hua-Liang Wei, Jinliang Ding

Applied intelligence (Boston)

2022

Gaussian Process-assisted Evolutionary Algorithm for Constrained Expensive Multi-Objective Optimization

Haofeng Wu, Jinliang Ding, Qing-da Chen

Asian Control Conference

2021

A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization

Jiaxin Chen, Jinliang Ding, Kay Chen Tan, Qingda Chen

Memetic Computing,Vol. 130, No. 30

2021

工业互联网驱动的流程工业智能优化制造新模式研究展望

Tian-You Chai, Qiang Liu, Jinliang Ding, Shao-Wen Lu, Yan-Jie Song, Yijie Zhang

Scientia Sinica Technologica

2021

基于工业大数据的厚板板形预报系统研发

马宇飞,刘长鑫,孔伟,丁进良

《物联网学报》

2021

Hot Rolling Scheduling of Heavy Plate Production Based on Heuristic and Ant Colony Algorithms

Jiangtao Xu, Jinliang Ding, Qing-da Chen, Ling Yi

International Conference on Informative and Cybernetics for Computational Social Systems

2021

A Novel Multimanifold Joint Projections Model for Multimode Process Monitoring

Xue Xu, Jinliang Ding, Qiang Liu, Tianyou Chai

IEEE Transactions on Industrial Informatics

2021

Concept Drift-Tolerant Transfer Learning in Dynamic Environments

Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, K. Tan

IEEE Transactions on Neural Networks and Learning Systems

2021

Discrete-time Scheduling Model of Entire Refinery with Multiscale Operation Time

Yuandong Chen, Jinliang Ding

2021 3rd International Conference on Industrial Artificial Intelligence (IAI)

2021

Knee-Based Decision Making and Visualization in Many-Objective Optimization

Zhe-Nan He, Gary G. Yen, Jinliang Ding

IEEE Transactions on Evolutionary Computation

2021

Parallel Temporal and Spatial Modeling for Interpretable Fault Detection and Isolation of Industrial Processes

Pengyu Song, Chunhui Zhao, Jinliang Ding, You-Xian Sun, Xuan-Xuan Jin

International Conference on Informative and Cybernetics for Computational Social Systems

2021

Decentralized dynamic process monitoring based on manifold regularized slow feature analysis

Xue Xu, Jinliang Ding

2021

Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals

Jun Lu, Jinliang Ding, Chang-Xin Liu, Tianyou Chai

IEEE Transactions on Neural Networks and Learning Systems

2021

Guest Editorial: Industrial Artificial Intelligence for Smart Manufacturing

Tao Yang, Jinliang Ding, K. Vamvoudakis, S. Qin

IEEE Transactions on Industrial Informatics

2021

Resilient Cooperative Control for High-Speed Trains Under Denial-of-Service Attacks

Hui Zhao, Xuewu Dai, Lei Ding, Dongliang Cui, Jinliang Ding, Tian-You Chai

IEEE Transactions on Vehicular Technology

2021

Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization

Huan-Shui Zhang, Jinliang Ding, Min Jiang, K. Tan, Tianyou Chai

IEEE Transactions on Cybernetics

2021

Reinforcement Learning Based Decision Making of Operational Indices in Process Industry Under Changing Environment

Chao Liu, Jinliang Ding, Ji-Yuan Sun

IEEE Transactions on Industrial Informatics

2021

A novel adaptive dynamic programming based on tracking error for nonlinear discrete-time systems

Chun Li, Jinliang Ding, F. Lewis, Tianyou Chai

at - Automatisierungstechnik

2020

基于自适应差分进化的常压塔轻质油产量多目标优化

丁进良,陈佳鑫,马欣然

《控制与决策》

2020

选矿生产指标可视化监控平台研究

徐泉,秦莹,初延刚,许美蓉,丁进良

《计算机集成制造系统》

2020

基于相似性检测的选矿指标趋势监控系统

于潇然,徐泉,初延刚,丁进良

《控制工程》

2020

原油物性快速评价软件算法库设计与开发

陈东宇,刘长鑫,张煜,丁进良

《控制工程》

2020

A General Integrated Design and Control Strategy Considering System Decomposition With Application to a Rocket Flight Attitude Control System

Yue Gao, Junwei Wang, Shuang Gao, Jinliang Ding

IEEE/ASME transactions on mechatronics

2020

DMGAN: Adversarial Learning-Based Decision Making for Human-Level Plant-Wide Operation of Process Industries Under Uncertainties

Nianzu Zheng, Jinliang Ding, Tianyou Chai

IEEE Transactions on Neural Networks and Learning Systems

2020

Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty

Jin-Na Li, Jinliang Ding, Tianyou Chai, F. Lewis, S. Jagannathan

IEEE Transactions on Neural Networks and Learning Systems

2020

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems

Qing-da Chen, Jinliang Ding, Sheng-Xiang Yang, Tianyou Chai

IEEE Transactions on Evolutionary Computation

2020

A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization

Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai

Evolutionary Computation

2020

Soft sensor modeling for fraction yield of crude oil based on ensemble deep learning

Ling Yi, Jun Lu, Jinliang Ding, Chang-Xin Liu, Tianyou Chai

2020

iHPPVis: Interactive Visual Analysis of Industrial data in Heavy Plate Production

Tong-Kang Zhang, Yu-Fei Ma, Depeng Xu, Chang-Xin Liu, Jinliang Ding

IFAC-PapersOnLine

2020

Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions

Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai

IEEE Transactions on Evolutionary Computation

2020

Robust Optimal Tracking Control for Linear Systems via Adaptive Dynamic Programming method

Zhen-Fei Xiao, Jin-Na Li, Jinliang Ding, Shuai Liu, Guo-Liang Wang

2020 IEEE 16th International Conference on Control & Automation (ICCA)

2020

Robust Event-Triggered Model Predictive Control for Multiple High-Speed Trains With Switching Topologies

Hui Zhao, Xuewu Dai, Qi Zhang, Jinliang Ding

IEEE Transactions on Vehicular Technology

2020

Evolutionary Optimization Under Uncertainty: The Strategies to Handle Varied Constraints for Fluid Catalytic Cracking Operation

Qing-da Chen, Jinliang Ding, Tianyou Chai, Quan-Ke Pan

IEEE Transactions on Cybernetics

2020

Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines

Yan Zhou, Yaochu Jin, Jinliang Ding

Neurocomputing

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 Transactions on Neural Networks and Learning Systems

2020

Mixed-Distribution-Based Robust Stochastic Configuration Networks for Prediction Interval Construction

Jun Lu, Jinliang Ding

IEEE Transactions on Industrial Informatics

2019

原油总碳含量的粒子群优化集成神经网络预测模型

贺婷婷,陆军,丁进良,刘长鑫

《控制理论与应用》

2019

多收率约束的催化裂化反再系统改进差分进化操作优化

曹蓓,陈庆达,丁进良

《控制理论与应用》

2019

蒸馏与换热协同的约束多目标在线操作优化方法

高开来,丁进良

《自动化学报》

2019

NMR principle analysis based object detection for intelligent measurement of crude oil moisture content

Ling Yi, Jinliang Ding, Chang-Xin Liu

Asian Control Conference

2019

Generalized Multitasking for Evolutionary Optimization of Expensive Problems

Jinliang Ding, Cuie Yang, Yaochu Jin, Tianyou Chai

IEEE Transactions on Evolutionary Computation

2019

Robust Multi-objective Optimization with Less Computational Effort

Zhe-Nan He, Jinliang Ding

2019 1st International Conference on Industrial Artificial Intelligence (IAI)

2019

Dynamic Evolutionary Multiobjective Optimization for Raw Ore Allocation in Mineral Processing

Jinliang Ding, Cuie Yang, Q. Xiao, Tianyou Chai, Yaochu Jin

IEEE Transactions on Emerging Topics in Computational Intelligence

2019

An Improved Differential Evolution Algorithm for Operating Optimization of a Distillation Unit

Qing-da Chen, Qiang Liu, Jinliang Ding

ACM Cloud and Autonomic Computing Conference

2019

Prediction method for energy consumption per ton of fused magnesium furnaces using data driven and mechanism model

Dan Guo, Zhiwei Wu, Tianyou Chai, Jie Yang, Jinliang Ding

Control Theory and Technology

2019

Multitasking Multiobjective Evolutionary Operational Indices Optimization of Beneficiation Processes

Cuie Yang, Jinliang Ding, Yaochu Jin, Chengzhi Wang, Tianyou Chai

IEEE Transactions on Automation Science and Engineering

2019

Nonzero-Sum Game Reinforcement Learning for Performance Optimization in Large-Scale Industrial Processes

Jin-Na Li, Jinliang Ding, Tianyou Chai, F. Lewis

IEEE Transactions on Cybernetics

2019

Constrained dynamic multi-objective evolutionary optimization for operational indices of beneficiation process

Cuie Yang, Jinliang Ding

Journal of Intelligent Manufacturing

2019

Reference Vector Based Multidirectional Prediction for Evolutionary Dynamic Multiobjective Optimization

Qiang Liu, Jinliang Ding

IEEE Congress on Evolutionary Computation

2019

A Novel On-line VI-ADP for Nonlinear Discrete-time Systems*

Chun Li, Jinliang Ding, Chang-Xin Liu, F. Lewis

2019 IEEE 15th International Conference on Control and Automation (ICCA)

2019

Link Quality Estimation in Industrial Temporal Fading Channel With Augmented Kalman Filter

Fei Qin, Qilong Zhang, Wuxiong Zhang, Yang Yang, Jinliang Ding, Xuewu Dai

IEEE Transactions on Industrial Informatics

2019

Evolutionary Optimization of Liquid State Machines for Robust Learning

Yan Zhou, Yaochu Jin, Jinliang Ding

International Symposium on Neural Networks

2019

Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems

Dan Guo, Yaochu Jin, Jinliang Ding, Tianyou Chai

IEEE Transactions on Cybernetics

2019

Construction of prediction intervals for carbon residual of crude oil based on deep stochastic configuration networks

Jun Lu, Jinliang Ding

Information Sciences

2018

A fitness approximation assisted competitive swarm optimizer for large scale expensive optimization problems

Chaoli Sun, Jinliang Ding, Jianchao Zeng, Yaochu Jin

Memetic Computing,Vol. 100, No. 20

2018

流程工业智能优化制造

柴天佑,丁进良

《中国工程科学》,Vol. 20, No. 4

2018

复杂工业过程智能优化决策系统的现状与展望

丁进良,杨翠娥,陈远东,柴天佑

《自动化学报》

2018

基于Regression GAN的原油总氢物性预测方法

郑念祖,丁进良

《自动化学报》

2018

面向原油总氢物性预测的数据扩增预处理方法

易令,吕忠元,丁进良,刘长鑫

《控制与决策》

2018

人工智能的回顾与展望

吴飞,阳春华,兰旭光,丁进良,郑南宁,桂卫华,高文,柴天佑,钱锋,李德毅,潘云鹤,韩军伟,付俊,刘克,宋苏,吴国政

《中国科学基金》

2018

自动化科学与技术未来发展专刊序言

陈杰,丁进良

《自动化学报》

2018

基于物联网的选矿制造执行系统技术

柴天佑,丁进良,徐泉,岳恒

《物联网学报》

2018

Incremental data-driven optimization of complex systems in nonstationary environments

Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai

Science China Information Sciences

2018

Smart and Optimal Manufacturing for Process Industry

Tianyou Chai, Jinliang Ding

2018

Prediction of Physical Properties of Crude Oil Based on Ensemble Random Weights Neural Network

Jun Lu, Jinliang Ding, Chang-Xin Liu, Yaochu Jin

2018

Multiobjective flow shop deteriorating scheduling problem via an adaptive multipopulation genetic algorithm

Ya-Ping Fu, Hongfeng Wang, Min Huang, Jinliang Ding, G. Tian

2018

Online Learning Algorithm for LSSVM Based Modeling with Time-varying Kernels

Wei-Jian Kong, Jinliang Ding

2018

Ensemble Random Weights Neural Network based Online Prediction Model of the Production Rate for Mineral Beneficiation Process

Jun Lu, Chuanbao Li, Jinliang Ding

2018

Off-Policy Q-Learning: Set-Point Design for Optimizing Dual-Rate Rougher Flotation Operational Processes

Jin-Na Li, Tianyou Chai, F. Lewis, Jialu Fan, Z. Ding, Jinliang Ding

IEEE transactions on industrial electronics (1982. Print)

2018

A Modified Dynamic PLS for Quality Related Monitoring of Fractionation Processes

Xue Xu, Qiang Liu, Jinliang Ding

2017

基于参考点预测的动态多目标优化算法

丁进良,杨翠娥,陈立鹏,柴天佑

《自动化学报》

2017

数据驱动选矿过程优化研究进展

丁进良,杨翠娥,柴天佑

Engineering

2017

基于择优学习策略的差分进化算法

刘昊,丁进良,杨翠娥,柴天佑

《上海交通大学学报》

2017

Multiple operating mode ANFIS modelling for speed control of HSEMU

Yating Fu, Hui Yang, Jinliang Ding

2017

Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system

Ya-Ping Fu, Jinliang Ding, Hongfeng Wang, Junwei Wang

Applied Soft Computing

2017

Two-stage assortative mating for multi-objective multifactorial evolutionary optimization

Cuie Yang, Jinliang Ding, K. Tan, Yaochu Jin

IEEE Conference on Decision and Control

2017

Special issue on “Data-driven evolutionary optimization”

Yaochu Jin, Jinliang Ding

Soft Computing - A Fusion of Foundations, Methodologies and Applications

2017

Recent Progress on Data-Based Optimization for Mineral Processing Plants

Jinliang Ding, Cuie Yang, Tianyou Chai

2017

Dynamic Multi-objective Optimization Algorithm Based on Reference Point Prediction

Jinliang Ding, Cuie Yang, Li-Peng Chen, Tian-You Chai

2017

Thematic issue on “bio-inspired learning for data analysis”

Yaochu Jin, Jinliang Ding, Yongsheng Ding

Memetic Computing

2017

Data-Driven Surrogate-Assisted Multi-Objective Optimization of Complex Beneficiation Operational Process

Chengzhi Wang, Jinliang Ding, Ran Cheng, Chang-Xin Liu, Tianyou Chai

2017

Gasoline dry point prediction of fractionation processes using dynamic inner partial least squares

Xue Xu, Qiang Liu, Jinliang Ding

Asian Control Conference

2017

Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems

Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng

IEEE Transactions on Evolutionary Computation

2016

基于智能移动终端和云计算的选矿生产指标优化决策系统

高论,肖琼,刘长鑫,丁进良,柴天佑

《计算机集成制造系统》

2016

Small data driven evolutionary multi-objective optimization of fused magnesium furnaces

Dan Guo, Tianyou Chai, Jinliang Ding, Yaochu Jin

IEEE Symposium Series on Computational Intelligence

2016

A preferred learning based adaptive differential evolution algorithm for large scale optimization

Xinran Ma, Jinliang Ding

IEEE Symposium Series on Computational Intelligence

2016

To the special Issue on “Metaheuristics for optimization of complex process engineering”

Jinliang Ding, Yaochu Jin

Natural Computing

2016

Data-Based Multiobjective Plant-Wide Performance Optimization of Industrial Processes Under Dynamic Environments

Jinliang Ding, H. Modares, Tianyou Chai, F. Lewis

IEEE Transactions on Industrial Informatics

2016

知的移動端末とクラウドコンピューティングに基づく選鉱生産指標最適化意思決定システム【JST・京大機械翻訳】

Lun Gao, Qiong Xiao, Chang-Xin Liu, Jinliang Ding, Tianyou Chai

2016

Guest Editorial [Special Issue: Data-driven Control, and Data-Based System Modelling, Monitoring, and Control]

Jinliang Ding, Yong D. Song, Tianyou Chai, J. Sarangapani, F. Lewis

2016

Hybrid intelligent modelling and simulation for cold tandem rolling process

Ming Tie, Jing Bi, Jinliang Ding

2016

A fast non-dominated sorting algorithm for real-time multi-objective particle swarm optimization

Wei-Jian Kong, Tianyou Chai, Jinliang Ding, Yongsheng Ding

World Congress on Intelligent Control and Automation

2016

Reference point based prediction for evolutionary dynamic multiobjective optimization

Cuie Yang, Jinliang Ding, Tianyou Chai, Yaochu Jin

IEEE Congress on Evolutionary Computation

2016

Fitness Estimation Strategy Assisted Competitive Swarm Optimizer for High Dimensional Expensive Problems

Chaoli Sun, Yaochu Jin, Jinliang Ding, Jianchao Zeng

Annual Conference on Genetic and Evolutionary Computation

2016

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

Soft Computing - A Fusion of Foundations, Methodologies and Applications

2016

An intelligent factory-wide optimal operation system for continuous production process

Jinliang Ding, Tianyou Chai, Hong-Feng Wang, Junwei Wang, Xiu-Ping Zheng

Enterprise Information Systems

2015

竖炉焙烧过程METSIM动态模拟

卢绍文,丁进良,刘琳琳

《化工学报》

2015

流程工业实现跨越式发展的必由之路

桂卫华,王成红,谢永芳,宋苏,孟庆峰,丁进良

《中国科学基金》

2015

Multi-dressing production targets and cloud-based mobile terminal system and method for optimizing decisions

Zhang-Xing Liu, Lun Gao, Jinliang Ding, Tianyou Chai

2015

Data-based multiple-model prediction of the production rate for hematite ore beneficiation process

Jinliang Ding, Tianyou Chai, Wei-Jian Cheng, Xiu-Ping Zheng

2015

The 5 th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems

Jian-Da Han, Hong Zhang, Qiang Huang, Jindong Tan, U. Tennessee, Lianqing Liu, Jinliang Ding, K. Kosuge, M. Buss, Guangyong Li, U. Pitts, U. Shandong, Heping Chen, Yan Shen, U. Navada, Ji-Zhong Xiao, Jian Huang, Zhidong Wang, W. Sheng, Xin-Gang Zhao, Tianjiao Dai, Haibin Yu, Yong-Chun Fang, U. Nankai, Cheng-Liang Liu, Yao-Nan Wang, Zhi Han, Wenxue Wang

2014

选矿过程精矿品位自适应在线支持向量预测方法

刘长鑫,丁进良,姜波,柴天佑

《控制理论与应用》

2014

镁砂熔炼过程全厂电能分配实时多目标优化方法研究

孔维健,柴天佑,丁进良,吴志伟

《自动化学报》

2014

Effect of pseudo gradient on differential evolutionary for global numerical optimization

Jinliang Ding, Lipeng Chen, Qingguang Xie, Tianyou Chai, Xiu-Ping Zheng

IEEE Congress on Evolutionary Computation

2014

GA-based principal component selection for production performance estimation in mineral processing

Jinliang Ding, Liang Zhao, Chang-Xin Liu, Tianyou Chai

Computers & electrical engineering

2014

Integrated Optimization for the Automation Systems of Mineral Processing

Tianyou Chai, Jinliang Ding, Gang Yu, Hong Wang

IEEE Transactions on Automation Science and Engineering

2014

Field device logic control test method

Yong-Jian Wu, Jie-Qing Zhang, Chao-Qun Zhang, Zhang-Xing Liu, Jinliang Ding, Xiu-Ping Zheng, Tianyou Chai

2014

Robust prediction for quality of industrial processes

Chang-Xin Liu, Jinliang Ding, Tianyou Chai

International Conference on Informatics and Analytics

2014

Concentrate yield online prediction method

Zhang-Xing Liu, Jian-Bin Huo, Jinliang Ding, Tian-You Chai

2014

Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control

Wei-Jian Kong, Tianyou Chai, Jinliang Ding, Sheng-Xiang Yang

IEEE Transactions on Automation Science and Engineering

2014

Data-based adaptive online prediction model for plant-wide production indices

Chang-Xin Liu, Jinliang Ding, A. Toprac, Tianyou Chai

Knowledge and Information Systems

2013

A multiobjective operational optimization approach for iron ore beneficiation process

Jinliang Ding, Hong Wang, Chunbo Liu, Tianyou Chai

Proceedings of the 2013 International Conference on Advanced Mechatronic Systems

2013

Iterative learning based particle size distribution control in grinding process using output PDF method

Xubin Sun, Jinliang Ding, Hong Wang, Tianyou Chai, Hairong Dong

2013 10th IEEE International Conference on Control and Automation (ICCA)

2013

A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing

Wei-Jian Kong, Tianyou Chai, Sheng-Xiang Yang, Jinliang Ding

Applied Soft Computing

2013

A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces

Wei-Jian Kong, Jinliang Ding, Tianyou Chai, Xiu-Ping Zheng, Sheng-Xiang Yang

IEEE Symposium on Computational Intelligence for Engineering Solutions

2013

Multiobjective optimization for planning of mineral processing under varied equipment capability

Jinliang Ding, Hou-Quan Wang, Rei Nie, Tianyou Chai

Proceedings of the 2013 International Conference on Advanced Mechatronic Systems

2012

Knowledge-Based Global Operation of Mineral Processing Under Uncertainty

Jinliang Ding, Tianyou Chai, Hong Wang, Xin-Kai Chen

IEEE Transactions on Industrial Informatics

2012

Operation control method of high magnetic grading process

Tian-You Chai, Wei Dai, Jinliang Ding, Heng Yue, Yan Qin, Zhang-Xing Liu

2012

MLP-based nonlinear modelling for energy saving in forming section of paper machines

Jinliang Ding, Tianyou Chai, P. Afshar, Hong Wang

Proceedings of the 10th World Congress on Intelligent Control and Automation

2012

Hybrid intelligent parameter estimation based on grey case-based reasoning for laminar cooling process

Gui-hua Xing, Jinliang Ding, Tianyou Chai, P. Afshar, Hong Wang

Engineering applications of artificial intelligence

2011

Multi-objective Hybrid Intelligent Optimization of Operational Indices for Industrial Processes and Application

Tianyou Chai, Jinliang Ding, Hong Wang

2011

Offline Modeling for Product Quality Prediction of Mineral Processing Using Modeling Error PDF Shaping and Entropy Minimization

Jinliang Ding, Tianyou Chai, Hong Wang

IEEE Transactions on Neural Networks

2011

An overview of modelling and simulation of thermal power plant

Chang-Liang Liu, Hong Wang, Jinliang Ding, Cheng-Gang Zhen

International Conference on Advanced Mechatronic Systems

2011

An adaptive chaotic PSO for parameter optimization and feature extraction of LS-SVM based modelling

Wei-Jian Cheng, Jinliang Ding, Wei-Jian Kong, Tianyou Chai, S. Qin

Proceedings of the 2011 American Control Conference

2011

Study on Ladle Schedule of Steel Making Process Using Heuristic Scheduling Algorithm

Wei Liu, Liang-Liang Sun, Jinliang Ding, Tianyou Chai

2011

Multi-objective Optimization of Fused Magnesium Enterprises Production Plan

Jinliang Ding

2011

Hybrid intelligent control for optimal operation of shaft furnace roasting process

Tianyou Chai, Jinliang Ding, Feng-Hua Wu

2010

高维多目标进化算法研究综述

孔维健,丁进良,柴天佑

《控制与决策》

2010

A Reliable and Efficient Hybrid PSO for Parameters Optimization of LS-SVM in Production Rate Prediction

Wei-Jian Kong, Wei-Jian Cheng, Jinliang Ding, Tianyou Chai

International Symposium on Computational Intelligence and Design

2010

Stability and strong passivity of nonlinear descriptor systems

Chun-Yu Yang, Qing-Ling Zhang, Tianyou Chai, Jinliang Ding

IEEE Conference on Decision and Control

2010

Hybrid intelligent control of heating furnaces for steel rolling process

You-Wen Chen, Jie-Qing Zhang, Tianyou Chai, Jun Fu, Jinliang Ding

World Congress on Intelligent Control and Automation

2010

Dynamic prediction model for mixed concentrate grade of mineral processing plant

Jinliang Ding, Tianyou Chai, Hong Wang

IEEE Conference on Decision and Control

2010

Large-dimensional multi-objective evolutionary algorithms based on improved average ranking

Wei-Jian Kong, Jinliang Ding, Tianyou Chai, Jing Sun

IEEE Conference on Decision and Control

2009

数据驱动的故障诊断与容错控制:进展与可能的新方向(英文)

王宏,柴天佑,丁进良,布朗·马丁

《自动化学报》

2009

竖炉焙烧过程优化操作运行与控制仿真实验平台

丁进良,耿丹,岳恒,柴天佑

《东北大学学报(自然科学版)》

2009

Data Driven Fault Diagnosis and Fault Tolerant Control: Some Advances and Possible New Directions

Hong Wang, Tianyou Chai, Jinliang Ding, Martin Brown

2009

Hybrid Intelligent Optimal Control Method for Operation of Complex Industrial Processes

Tian-You Chai, Jinliang Ding, Hong Wang, Chun-Yi Su

2009

Neural Networks Based Probability Density Function Control for Stochastic Systems

Xubin Sun, Jinliang Ding, Tianyou Chai, Hong Wang

2009

Data mining based feedback regulation in operation of hematite ore mineral processing plant

Jinliang Ding, Qi Chen, Tianyou Chai, Hong Wang, Chun-Yi Su

American Control Conference

2008

复杂工业过程运行的混合智能优化控制方法

柴天佑,丁进良,王宏,苏春翌

《自动化学报》

2008

Case-Based Decision Making Model for Supervisory Control of Ore Roasting Process

Jinliang Ding, Chang-Xin Liu, M. Wen, Tianyou Chai

International Symposium on Neural Networks

2008

Intelligent control for operation of iron ore magnetic separating process

Jin-Xin Liu, Jin-Ling Liu, Jinliang Ding, Tianyou Chai

World Congress on Intelligent Control and Automation

2008

Soft-sensor for alkaline solution concentration of evaporation process

Yonggang Wang, Jinliang Ding, Tianyou Chai

World Congress on Intelligent Control and Automation

2008

Hybrid Intelligent Control for Optimal Operation of Shaft Furnace Process

Tianyou Chai, Jinliang Ding, Feng-Hua Wu

2007

Intelligent work-situation fault diagnosis and fault-tolerant system for the shaft-furnace roasting process

Tianyou Chai, Feng-Hua Wu, Jinliang Ding, Chun-Yi Su

2007

Hybrid Intelligent Optimising Control for High-Intensity Magnetic Separating Process of Hematite Ore

Tianyou Chai, Jin-Xin Liu, Jinliang Ding, Chun-Yi Su

2007

An intelligent approach for supervisory control of grinding product particle size

P. Zhou, Jinliang Ding, Tianyou Chai, Hong Wang, Chun-Yi Su

IEEE Conference on Decision and Control

2007

Interactive Software Platform of Intelligent Supervisory Control for the Mineral Grinding Process

Jinliang Ding, Yang Cao, Tianyou Chai, Hong Wang

International Conference on Computability and Complexity in Analysis

2006

基于遗传算法的磨矿粒度神经网络软测量

丁进良,岳恒,齐玉涛,柴天佑,郑秀萍

《仪器仪表学报》

2006

Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process

Jinliang Ding, P. Zhou, Chang-Xin Liu, Tianyou Chai

Sixth International Conference on Intelligent Systems Design and Applications

2006

Intelligent Control for Ore-distributing Process

Pei-Chang Wang, Jinliang Ding, Tianyou Chai

World Congress on Intelligent Control and Automation

2006

Intelligent Optimal Control of Grinding Circuits for Optimization of Particle Size Index

P. Zhou, Tianyou Chai, Heng Yue, Jinliang Ding, Da-yong Zhao

World Congress on Intelligent Control and Automation

2006

A New Approach Based on Similarity Rough Set for Determining Case Feature Weights

P. Zhou, Jinliang Ding

2005

INTEGRATED AUTOMATION SYSTEM OF MINERALS PROCESSING AND ITS APPLICATIONS

Tianyou Chai, Jinliang Ding, Da-yong Zhao, Aijun Yan

2004

Grinding system intelligent optimization initialization method based on case ratiocination

Da-yong Zhao, Heng Yue, Tian-You Chai, Jinliang Ding, P. Zhou

Correlation-screened sparse surrogate ensembles for expensive many-task optimization

Hong-Yu Zhu, Wang-Peng Huang, En-Jie Ma, Jinliang Ding

Expert systems with applications

会议论文

2025

基于机器视觉的热轧过程厚板轮廓检测的可视分析系统

关智东,丁进良

《第36届中国过程控制会议论文集(上)》

2025

数据稀缺场景下扩散模型辅助的智能跨域故障诊断

张永超,丁进良

《第36届中国过程控制会议论文集(下)》

2025

基于扩散-生成式对抗模型的不平衡表格数据上采样方法

任世奇,丁进良

《第36届中国过程控制会议论文集(下)》

2025

基于双重时序感知注意力机制的工业过程故障诊断方法

张同康,丁进良

《第36届中国过程控制会议论文集(下)》

2025

基于混合特征融合的多尺度多工序工业过程故障诊断

李大同,丁进良

《第36届中国过程控制会议论文集(下)》

2025

基于动态增强随机配置网络的软测量建模方法

周鑫宇,丁进良

《第36届中国过程控制会议论文集(下)》

2025

广义鲁棒随机配置网络

陆军,丁进良

《第36届中国过程控制会议论文集(下)》

2024

基于约束强化学习的数据驱动多效蒸发过程最优控制

姚峣,丁进良

《第35届中国过程控制会议论文集》

2024

动态环境下的多任务多目标基准问题构造

蔺雅婷,杨翠娥,丁进良

《第35届中国过程控制会议论文集》

2024

基于逆高斯过程建模的动态多目标进化优化算法

张欢,丁进良

《第35届中国过程控制会议论文集》

2024

基于因果结构学习的复杂工业过程异常分层根因分析方法

徐斌,陆军,丁进良

《第35届中国过程控制会议论文集》

2024

基于参数自适应的成对子代生成的约束大规模多目标优化算法

朱海月,陈庆达,丁进良

《第35届中国过程控制会议论文集》

2023

基于离线搜索的人工免疫动态多目标优化算法

仕文凤,陈庆达,丁进良,贺喆南

《第34届中国过程控制会议论文集》

2023

基于迭代特权信息学习的随机配置网络及其应用

陆军,丁进良

《第34届中国过程控制会议论文集》

2023

基于自监督学习与多源异构信息融合的厚板板形质量异常检测方法

李大同,陆军,张同康,丁进良

《第34届中国过程控制会议论文集》

2022

基于进化计算与运筹优化精确方法的混合智能算法在组合优化中的进展

段嘉辉,贺喆南,丁进良

《第34届中国控制与决策会议论文集(8)》

2022

Sparse Gaussian Feature Learning for Nonlinear Industrial Fault Diagnosis

Jianfeng Zhang, Chunhui Zhao, Jinliang Ding, Youxian Sun, Xianling Li

《第34届中国控制与决策会议论文集(6)》

2022

基于集成混合分布鲁棒随机配置网络的预测区间建模方法

陆军,丁进良

《第33届中国过程控制会议论文集》

2022

动态约束多目标进化优化算法

陈庆达,丁进良

《第33届中国过程控制会议论文集》

2022

基于监督对比学习的厚板板形质量异常检测方法

李大同,陆军,丁进良

《第33届中国过程控制会议论文集》

2021

变进料性质下蒸馏装置运行约束优化方法

陈庆达,丁进良,柴天佑

《2021中国自动化大会——中国自动化学会60周年会庆暨纪念钱学森诞辰110周年》

2021

基于集成贝叶斯稀疏随机配置网络的预测区间建模方法

陆军,丁进良

《第32届中国过程控制会议(CPCC2021)论文集》

2021

Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties

Qingda Chen, Jinliang Ding, Shengxiang Yang, Tianyou Chai

《第32届中国过程控制会议(CPCC2021)》

2020

基于同步鲁棒训练的集成随机配置网络预测区间建模方法

陆军,丁进良,王笑波

《第31届中国过程控制会议(CPCC 2020)》

2019

基于工业云的原油物性快速评价平台设计与实现

陈东宇,刘长鑫,张煜,丁进良

《第30届中国过程控制会议(CPCC 2019)摘要集》

2019

基于数据探测与可视技术的复杂工业过程生产指标监控平台研究

秦莹,徐泉,初延刚,丁进良

《第30届中国过程控制会议(CPCC 2019)摘要集》

2019

基于鲁棒随机配置网络的原油总氮含量预测模型

陆军,丁进良

《第30届中国过程控制会议(CPCC 2019)摘要集》

2017

工业互联网体系架构研究综述及展望

刘谱,张晓玲,代学武,李健,丁进良,柴天佑

《第28届中国过程控制会议(CPCC 2017)暨纪念中国过程控制会议30周年》

2017

工业生产全流程运行性能监控评价指标设计与应用

刘长鑫,丁进良,柴天佑

《第28届中国过程控制会议(CPCC 2017)暨纪念中国过程控制会议30周年》

2017

基于特征优化的LS-SVM原油API度预报模型

屈诗云,贺婷婷,刘长鑫,丁进良,王琤

《第36届中国控制会议论文集(C)》

2015

基于Pareto前沿预测的动态多目标优化算法

陈立鹏,丁进良,杨翠娥,柴天佑

《第26届中国过程控制会议(CPCC2015)论文集》

2015

数据驱动的复杂工业系统运行优化

丁进良

《2015年中国自动化大会(CAC 2015)》

2015

基于多核变参数在线学习的LSSVM回归建模方法

孔维健,丁进良

《第26届中国过程控制会议(CPCC2015)》

2015

一种集成随机权神经网络的在线学习方法

王海涛,丁进良,李传保,刘长鑫

《第26届中国过程控制会议(CPCC2015)》

预印本

2024

Hierarchical learning control for autonomous robots inspired by central nervous system

Pei Zhang, Zhaobo Hua, Jinliang Ding

arXiv preprint

2023

A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Control

Pei Zhang, Zhaobo Hua, Jinliang Ding

arXiv preprint

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