邵伟明｜中国石油大学(华东)｜学者主页

2026

Data-Driven Fault Detection for Nonlinear Non-Gaussian Process Based on Weighted Probabilistic Independent Component Analysis

Yiyang Zhang, Weiming Shao

Chinese Control and Decision Conference (CCDC)

DOI

2026

A Nonlinear Robust Dynamical Generative Latent Variable Model for Industrial Soft Sensing

Wenxue Han, Hongyu Lu, Chihang Wei, Weiming Shao

IEEE Transactions on Industrial Informatics

DOI

2026

A Conditional Gaussian Mixture Model-Guided Transformer for Soft Sensing in Multicondition Industrial Processes

Xu Li, Weiming Shao, Xindong Wang, Chihang Wei, Beng-Wern Wang, Junghui Chen

IEEE Transactions on Industrial Informatics

DOI

2026

A mechanistic causality-guided robust dynamical probabilistic latent variable regression model and its application to soft sensing of continuous chemical processes

Wenxue Han, Ziteng Zuo, Xiang-Jin Zhang, Lan Zhang, Weiming Shao

Chemometrics and Intelligent Laboratory Systems

DOI

2026

A Causal Knowledge-Assisted Semi-Supervised Dynamical Generative Latent Variable Model for Industrial Quality Index Prediction

Wenxue Han, Z. Tian, Weiming Shao, Junghui Chen

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

2025

Dual Stochastic Configuration Network Fault Classification Method Based on K-Nearest Neighbor Assisted Generative Adversarial Network

Shuyang Miao, Weiming Shao

Chinese Control and Decision Conference (CCDC)

DOI

2025

Semi-Supervised Probabilistic Mixture Stochastic Configuration Networks Based on Leave-One-Out Cross-Validation for Soft Sensor Development

Yongjie Qin, Weiming Shao, Xinhui Sun

Chinese Control and Decision Conference (CCDC)

DOI

2025

Data‐Driven Fault Detection for Multimode Industrial Processes Based on Mixture of Autoencoders

Guoqiang Cui, Xu Li, Chihang Wei, Weiming Shao

Asia-Pacific Journal of Chemical Engineering

DOI

2025

A Semi-supervised Robust Linear Dynamical System for Industrial Quality Variable Prediction

Wenxue Han, Weiming Shao, Chihang Wei

Lecture notes in networks and systems

DOI

2025

A Physical Causality-Informed Variational Autoencoder for Industrial Virtual Sensing

Hongjian Yu, Weiming Shao

2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS)

DOI

2025

Quility-Related Fault Detection for Multimode Industrial Processes Based on Mixture of Autoencoders

Guoqiang Cui, Weiming Shao

Chinese Control and Decision Conference

DOI

2024

Enhancing Predictive Monitoring of Ethylene Oxychlorination Reactor States through Spatiotemporal Coupling Analysis

Guo-Qing Mu, Junghui Chen, Jingxiang Liu, Weiming Shao

Chemical engineering research & design

DOI

2024

A Dynamic Robust Predictive Model for Key Variable Estimation of Hydrogen Production Process

Yating Yao, Weiming Shao

2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2023

融合机制与高斯混合回归算法的成品油管道顺序输送混油长度预测模型

袁子云，刘刚，陈雷，邵伟明，张钰晗

《中国石油大学学报(自然科学版)》

2023

石化制氢过程碳计量技术现状和展望

赵东亚，许飞，张舒展，邵伟明，蒋秀珊，房韡

《山东化工》

2023

基于分布式贝叶斯隐马尔可夫回归的动态软测量建模方法

邵伟明，韩文学，宋伟，杨勇，陈灿，赵东亚

《化工学报》

2021

Improving the Generalization Performance of Data-driven Predictive Model for Dynamic Process Systems

Weiming Shao, Yougao Li, Dongya Zhao, Zhiqiang Ge

IEEE Data Driven Control and Learning Systems Conference (DDCLS)

DOI

2019

基于循环神经网络的半监督动态软测量建模方法

邵伟明，葛志强，李浩，宋执环

《电子测量与仪器学报》

DOI

2018

基于集成学习的多产品化工过程软测量建模方法

邵伟明，田学民，宋执环

《化工学报》

2016

基于局部学习的自适应软测量建模方法研究

邵伟明

《中国石油大学(华东)》

2015

有监督局部和非局部结构保持投影及其在即时学习自适应软测量建模中的应用（英文）

邵伟明，田学民，王平

Chinese Journal of Chemical Engineering

2015

Soft sensor development for nonlinear and time‐varying processes based on supervised ensemble learning with improved process state partition

Weiming Shao, Xuemin Tian, Ping Wang

Asia-Pacific Journal of Chemical Engineering

DOI

2014

局部主成分分析及其在软测量中的应用

邵伟明，田学民

《自动化仪表》

2014

基于局部PLS的多输出过程自适应软测量建模方法(英文)

邵伟明，田学民，王平

Chinese Journal of Chemical Engineering

2012

基于递推PLS核算法的软测量在线学习方法

邵伟明，田学民，王平

《化工学报》

2012

基于快速留一交叉验证法的在线递推最小二乘支持向量机建模方法

邵伟明，田学民

《青岛科技大学学报(自然科学版)》

A physical causality-informed generative latent variable modeling paradigm for industrial virtual metrology

Weiming Shao, Hongjian Yu, Wenxue Han, Zeyu Yang, Junghui Chen

Advanced Engineering Informatics

DOI

A neural networks-aided Bayesian semi-supervised nonlinear hidden Markov model for regressive soft sensing application

Xu Li, Hongjian Yu, Weiming Shao, Junghui Chen, Guo-Qing Mu

Measurement

DOI

邵伟明

精选作品

期刊论文

Data-Driven Fault Detection for Nonlinear Non-Gaussian Process Based on Weighted Probabilistic Independent Component Analysis

A Nonlinear Robust Dynamical Generative Latent Variable Model for Industrial Soft Sensing

A Conditional Gaussian Mixture Model-Guided Transformer for Soft Sensing in Multicondition Industrial Processes

A mechanistic causality-guided robust dynamical probabilistic latent variable regression model and its application to soft sensing of continuous chemical processes

A Causal Knowledge-Assisted Semi-Supervised Dynamical Generative Latent Variable Model for Industrial Quality Index Prediction

Dual Stochastic Configuration Network Fault Classification Method Based on K-Nearest Neighbor Assisted Generative Adversarial Network

Semi-Supervised Probabilistic Mixture Stochastic Configuration Networks Based on Leave-One-Out Cross-Validation for Soft Sensor Development

Data‐Driven Fault Detection for Multimode Industrial Processes Based on Mixture of Autoencoders

A Semi-supervised Robust Linear Dynamical System for Industrial Quality Variable Prediction

A Physical Causality-Informed Variational Autoencoder for Industrial Virtual Sensing

Quility-Related Fault Detection for Multimode Industrial Processes Based on Mixture of Autoencoders

Enhancing Predictive Monitoring of Ethylene Oxychlorination Reactor States through Spatiotemporal Coupling Analysis

A Dynamic Robust Predictive Model for Key Variable Estimation of Hydrogen Production Process

融合机制与高斯混合回归算法的成品油管道顺序输送混油长度预测模型

石化制氢过程碳计量技术现状和展望

基于分布式贝叶斯隐马尔可夫回归的动态软测量建模方法

Improving the Generalization Performance of Data-driven Predictive Model for Dynamic Process Systems

基于循环神经网络的半监督动态软测量建模方法

基于集成学习的多产品化工过程软测量建模方法

基于局部学习的自适应软测量建模方法研究

有监督局部和非局部结构保持投影及其在即时学习自适应软测量建模中的应用（英文）

Soft sensor development for nonlinear and time‐varying processes based on supervised ensemble learning with improved process state partition

局部主成分分析及其在软测量中的应用

基于局部PLS的多输出过程自适应软测量建模方法(英文)

基于递推PLS核算法的软测量在线学习方法

基于快速留一交叉验证法的在线递推最小二乘支持向量机建模方法

A physical causality-informed generative latent variable modeling paradigm for industrial virtual metrology

A neural networks-aided Bayesian semi-supervised nonlinear hidden Markov model for regressive soft sensing application

会议论文

基于自适应动态非线性PLS模型的软测量方法

基于孪生网络与注意力机制的小样本储罐底板缺陷识别

基于鲁棒线性动态系统的工业过程关键参数预测方法研究

基于分布式半监督隐马尔可夫模型的动态工业过程软测量建模方法

基于分布式贝叶斯网络的高速线材质量缺陷诊断与溯源