王凯

2026

DPMSAN: A Dual-Path Multiscale Attention Network With Diverse Local–Global Interactions for Industrial Quality Prediction

IEEE Transactions on Industrial Informatics

DOI

2026

Dual-level knowledge transfer for few-sample process monitoring aided by orthogonal heterogeneous component analysis

Journal of the Franklin Institute

DOI

2026

Recurrent Neural Architecture DEsign With LLM for Time Series Quality Prediction in Industrial Processes

IEEE Transactions on Industrial Informatics

DOI

2026

Uncertainty Explicit Learning: An Interval Generalized Neural Network with Adaptivity for Anomaly Identification Under Data Uncertainty

IEEE/CAA Journal of Automatica Sinica

DOI

2026

基于时频双域融合大模型的氧化铝焙烧主炉温度多步预测

《冶金自动化》

2026

化工厂DCS控制系统的安全冗余设计与故障诊断分析

《石化技术》

2026

完备时空信息引导的工业过程内生变量缺失下的鲁棒KPI预测

《自动化学报》

DOI

2026

高温高压反应设备的安全风险评估与预警系统设计

《石化技术》

2025

Boosting industrial anomaly detection performance using generated artificial fault data

Engineering Applications of Artificial Intelligence

DOI

2025

Capturing principal features in slow industrial processes for anomaly detection application

Journal of Process Control

DOI

2025

Gaussian-based Interval-Aware Transformer With Interval Embedding for Data Sequence Modeling With Irregular Sampling Frequency in Industrial Processes

IEEE Transactions on Industrial Informatics

DOI

2025

Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application

IEEE Transactions on Industrial Informatics

DOI

2025

Multi-step difference-driven domain adversarial network for few-sample fault detection in dynamic industrial systems

Engineering Applications of Artificial Intelligence

DOI

2025

Rectifying Systematical Measurement Error Through Majority Pattern Mining and Semi-Supervised Prediction for Industrial Instrument

IEEE Transactions on Automation Science and Engineering

DOI

2025

Asynchronous Multi-Agent Collaborative Framework for Integrated Production and Procurement Optimization in Refinery

IEEE Transactions on Automation Science and Engineering

DOI

2025

Enhanced Model Predictive Control for Oscillation Suppression in Dynamic Processes

CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2025

A deep learning method for missing data imputation in wastewater treatment processes under dynamic weather conditions

Journal of Water Process Engineering

DOI

2025

Performance-Driven Distillation and Confident Pseudo Labeling for Semi-Supervised Industrial Soft-Sensor Application

IEEE Transactions on Cybernetics

DOI

2025

Reinforcement learning control for systems with unknown coupling induced by the compensator

Advanced Engineering Informatics

DOI

2025

Accelerating DQN with Transfer Learning for Industrial Process Scheduling under Environmental Changes

DOI

2025

A Robust Dynamic Structure Transfer Approach for Industrial Process Monitoring

CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2025

Dynamic optimal decision-making for scaling cleaning in the sodium aluminate solution evaporation process

Applied Intelligence

DOI

2025

Capturing sequence similarity using local spatiotemporal manifold-regularized dynamic network for semi-supervised industrial quality prediction

Control Engineering Practice

DOI

2025

MLDF-Net: Multivariate Learnable Decomposition Forecasting Network for Industrial Predictive Modeling

DOI

2025

事件-时间触发的慢时变工业过程动态调度方法

《化工学报》

2024

A Domain-Knowledge Embedded Framework for Soft Sensing in Complex Industrial Processes With Cascading Equipment

IEEE Transactions on Industrial Informatics

DOI

2024

A Difference Metric Attention With Position Distance-Based Weighting for Transformer in Data Sequence Modeling of Industrial Processes

IEEE Transactions on Industrial Informatics

DOI

2024

Worst-case robust optimization based on an adaptive incremental Kriging metamodel

Expert Systems with Applications

DOI

2024

Historical Information-Aided Monitoring of Few-Sample Modes in Industrial Processes With Orthogonal Transferred Projection

IEEE Transactions on Industrial Informatics

DOI

2024

Reordered short-term autocorrelation-driven long-range discriminative convolutional autoencoder for dynamic process monitoring

Journal of Process Control

DOI

2024

Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder

Engineering Applications of Artificial Intelligence

DOI

2024

Partially precise instrument measurements-aided deep learning for industrial quality prediction

Journal of Process Control

DOI

2024

A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications

Engineering Applications of Artificial Intelligence

DOI

2024

Missing Data Imputation for Industrial Time Series With Adaptive Median Iteration Based on Generative Adversarial Networks

IEEE Sensors Journal

DOI

2024

A Cloud-Edge Collaborative Framework for Adaptive Quality Prediction Modeling in IIoT

IEEE Sensors Journal

DOI

2024

Interdependence-Adaptive Mutual Information Maximization for Graph Contrastive Learning

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Unsupervised domain adversarial network for few-sample fault detection in industrial processes

Advanced Engineering Informatics

DOI

2024

Scope-Free Global Multi-Condition-Aware Industrial Missing Data Imputation Framework via Diffusion Transformer

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network

IEEE Transactions on Cybernetics

DOI

2024

Spiking autoencoder for nonlinear industrial process fault detection

Information Sciences

DOI

2024

Variable Correlation Analysis-Based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling

IEEE Transactions on Instrumentation and Measurement

DOI

2024

Machine learning for industrial sensing and control: A survey and practical perspective

Control Engineering Practice

DOI

2024

Deterministic scenarios guided K -Adaptability in multistage robust optimization for energy management and cleaning scheduling of heat transfer process

Energy

DOI

2023

Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes

Expert Systems with Applications

DOI

2023

Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry

IEEE Transactions on Industrial Informatics

DOI

2023

Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems

IEEE Transactions on Automation Science and Engineering

DOI

2023

Blackout Missing Data Recovery in Industrial Time Series Based on Masked-Former Hierarchical Imputation Framework

IEEE Transactions on Automation Science and Engineering

DOI

2023

Manifold-constrained trace ratio optimization for nonstationary process performance monitoring

Journal of Process Control

DOI

2023

KSLD-TNet: Key Sample Location and Distillation Transformer Network for Multistep Ahead Prediction in Industrial Processes

IEEE Sensors Journal

DOI

2023

Automatic infrared image distortion correction of electrolytic cells based on refined edge lines

Measurement

DOI

2023

Quasi-Recurrent Neural Networks with Embedded Variable Selection Module for Data Sequence Modeling in Dynamic Industrial Processes

IEEE Conference on Industrial Electronics and Applications (ICIEA)

DOI

2023

Multiscale Feature Fusion and Semi-Supervised Temporal-Spatial Learning for Performance Monitoring in the Flotation Industrial Process

IEEE Transactions on Cybernetics

DOI

2023

Multiscale Dynamic Feature Learning for Quality Prediction Based on Hierarchical Sequential Generative Network

IEEE Sensors Journal

DOI

2023

Industrial Soft Sensor Prediction based on Multi-model Integrated Method

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2023

Interpretable Prediction Modeling for Froth Flotation via Stacked Graph Convolutional Network

IEEE Transactions on Artificial Intelligence

DOI

2023

Intelligent Operational Optimization Method for Salt Lake Chemical Industrial Processes Based on Data-Driven Modeling

IEEE Conference on Industrial Electronics and Applications (ICIEA)

DOI

2023

Domain adaptation for few-sample nonlinear process monitoring with deep networks

Information Sciences

DOI

2022

Neuron-Compressed Deep Neural Network and Its Application in Industrial Anomaly Detection

IEEE Transactions on Industrial Informatics

DOI

2022

Online reconstruction and diagnosibility analysis of multiplicative fault models for process-related faults

Journal of the Franklin Institute

DOI

2022

Semi-supervised LSTM with historical feature fusion attention for temporal sequence dynamic modeling in industrial processes

Engineering Applications of Artificial Intelligence

DOI

2022

Quality prediction model for multi-fusion correlation feature learning method based on active-inert variable separation CNN

China Automation Congress (CAC)

DOI

2022

Layer‐wise contribution‐filtered propagation for deep learning‐based fault isolation

International Journal of Robust and Nonlinear Control

DOI

2022

Virtual Sensor Modeling for Nonlinear Dynamic Processes Based on Local Weighted PSFA

IEEE Sensors Journal

DOI

2022

A multi-source transfer learning method for new mode monitoring in industrial processes

International Conference on Control, Decision and Information Technologies (CoDIT)

DOI

2022

Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder

IEEE Transactions on Cybernetics

DOI

2022

New mode cold start monitoring in industrial processes: A solution of spatial–temporal feature transfer

Knowledge-Based Systems

DOI

2022

Layer-Wise Residual-Guided Feature Learning With Deep Learning Networks for Industrial Quality Prediction

IEEE Transactions on Instrumentation and Measurement

DOI

2022

A Monitoring Method Based on FDALM and Its Application in the Sintering Process of Ternary Cathode Material

Sensors

DOI

2022

GraphSAGE-LSTM-based deep canonical correlation analysis for batch process monitoring

DOI

2022

A reduced nonstationary discrete convolution kernel for multimode process monitoring

International Journal of Machine Learning and Cybernetics

DOI

2022

Layer-wise feature extraction approaches with deep PLS for quality prediction in industrial process

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2022

Inter-Relational Mahalanobis SAE with semi-supervised strategy for fault classification in chemical processes

Chemometrics and Intelligent Laboratory Systems

DOI

2022

Dynamic historical information incorporated attention deep learning model for industrial soft sensor modeling

Advanced Engineering Informatics

DOI

2021

Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application

IEEE Transactions on Industrial Informatics

DOI

2021

A SIA-LSTM based virtual metrology for quality variables in irregular sampled time sequence of industrial processes

Chemical Engineering Science

DOI

2021

Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network

Engineering Applications of Artificial Intelligence

DOI

2021

Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes

Engineering Applications of Artificial Intelligence

DOI

2021

Online Adaptive Modeling Framework for Deep Belief Network-Based Quality Prediction in Industrial Processes

Industrial & Engineering Chemistry Research

DOI

2021

Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

Quality Variable Prediction for Nonlinear Dynamic Industrial Processes Based on Temporal Convolutional Networks

IEEE Sensors Journal

DOI

2021

Stacked Attention-based Autoencoder with Feature Fusion and Its application for Quality Prediction

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2021

Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process

Information Sciences

DOI

2021

A neighborhood‐adaptive state transition algorithm for operational optimization of residue hydrogenation fractionation process

International Journal of Energy Research

DOI

2021

Sampling-Interval-Aware LSTM for Industrial Process Soft Sensing of Dynamic Time Sequences With Irregular Sampling Measurements

IEEE Sensors Journal

DOI

2021

Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes

IEEE Transactions on Instrumentation and Measurement

DOI

2021

Deep Nonlinear Dynamic Feature Extraction for Quality Prediction Based on Spatiotemporal Neighborhood Preserving SAE

IEEE Transactions on Instrumentation and Measurement

DOI

2021

A fault reconstruction strategy for fault diagnosis of state-related multiplicative faults

CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)

DOI

2021

Developing semi-supervised variational autoencoder-generative adversarial network models to enhance quality prediction performance

Chemometrics and Intelligent Laboratory Systems

DOI

2020

Developing Variational Autoencoders with Differential Entropy Soft Sensor Models for Nonlinear Processes

IFAC-PapersOnLine

DOI

2020

Developing a deep learning estimator to learn nonlinear dynamic systems

IFAC-PapersOnLine

DOI

2020

Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring

Neural Networks

DOI

2020

Enhanced Fault Detection Using Deviation Degree Penalty with Stacked Autoencoder in Industry Process

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2020

An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties

Computers & Chemical Engineering

DOI

2019

A sparse loading-based contribution method for multivariate control performance diagnosis

Journal of Process Control

DOI

2019

Accelerated Kernel Canonical Correlation Analysis with Fault Relevance for Nonlinear Process Fault Isolation

Industrial & Engineering Chemistry Research

DOI

2019

Nonlinear industrial soft sensor development based on semi-supervised probabilistic mixture of extreme learning machines

Control Engineering Practice

DOI

2019

Data-Driven Dynamic Modeling and Online Monitoring for Multiphase and Multimode Batch Processes with Uneven Batch Durations

Industrial & Engineering Chemistry Research

DOI

2018

Deep Learning of Complex Batch Process Data and Its Application on Quality Prediction

IEEE Transactions on Industrial Informatics

DOI

2011

高斯过程集成算法的发酵过程软测量建模

《计算机工程与应用》

2002

状态估计技术及其在聚合反应器控制中的应用

《合成橡胶工业》

2025

Output-Constrained Controller with Fuzzy-Tuned Parameters for Overhead Cranes

《第44届中国控制会议论文集（2）》

DOI

2017

面向闭环系统的过程故障与外部干扰故障异常的协同检测和判别

《2017中国自动化大会（CAC2017）暨国际智能制造创新大会（CIMIC2017）论文集》

2026

Resilient Control Lyapunov Function-based Quadratic Program for Quadrotors Under Cyberattacks

arXiv preprint

2019

Parallel Explicit Tube Model Predictive Control

arXiv preprint