Jinlin Zhu

发表

Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2017, IEEE Transactions on Industrial Informatics.

Multimode process data modeling: A Dirichlet process mixture model based Bayesian robust factor analyzer approach

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2015 .

HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2015, IEEE Transactions on Industrial Electronics.

Bayesian robust linear dynamic system approach for dynamic process monitoring

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2016 .

Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2017, IEEE Transactions on Automation Science and Engineering.

Monitoring big process data of industrial plants with multiple operating modes based on Hadoop

Dewei Li, Furong Gao, Yuan Yao, 2018, Journal of the Taiwan Institute of Chemical Engineers.

Dual-Domain-Based Adversarial Defense With Conditional VAE and Bayesian Network

Jinlin Zhu, Danwei Wang, Guohao Peng, 2021, IEEE Transactions on Industrial Informatics.

Dynamic mixture probabilistic PCA classifier modeling and application for fault classification

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2015 .

Fault diagnosis based on bayesian networks for the data incomplete industrial system

Zhengdao Zhang, Jinlin Zhu, Jinlin Zhu, 2011, Proceedings of the 30th Chinese Control Conference.

Transfer of Qualitative and Quantitative Knowledge for Similar Batch Process Monitoring

Yuan Yao, Furong Gao, Jinlin Zhu, 2018, IEEE Access.

Distributed Gaussian mixture model for monitoring multimode plant-wide process

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2016, 2016 Chinese Control and Decision Conference (CCDC).

Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data

Zhiqiang Ge, Zhihuan Song, Furong Gao, 2018, Annu. Rev. Control..

Furong Gao, Jinlin Zhu, F. Gao, 2018, IEEE Transactions on Industrial Electronics.

Distributed task allocation method based on self-awareness of autonomous robots

Jinlin Zhu, Zaijun Wang, Zifan Li, 2019, The Journal of Supercomputing.

Dynamic Bayesian network for robust latent variable modeling and fault classification

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2020, Eng. Appl. Artif. Intell..

Robust modeling of mixture probabilistic principal component analysis and process monitoring application

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2014 .

Fault detection and diagnosis for data incomplete industrial systems with new Bayesian network approach

Feng Pan, Zhengdao Zhang, Jinlin Zhu, 2013 .

Batch Process Modeling and Monitoring With Local Outlier Factor

Donghua Zhou, Furong Gao, Youqing Wang, 2019, IEEE Transactions on Control Systems Technology.

Robust semi-supervised mixture probabilistic principal component regression model development and application to soft sensors

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2015 .

Quantum statistic based semi-supervised learning approach for industrial soft sensor development

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2018 .

Multiphase two-dimensional time-slice dynamic system for batch process monitoring

Furong Gao, Yuan Yao, Jinlin Zhu, 2020 .

Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2018, IFAC J. Syst. Control..

Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes

Zhiqiang Ge, Jinlin Zhu, Muyun Jiang, 2020 .

Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2017, IEEE Transactions on Control Systems Technology.

Robust supervised probabilistic principal component analysis model for soft sensing of key process variables

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2015 .

Large-scale plant-wide process modeling and hierarchical monitoring: A distributed Bayesian network approach

Zhiqiang Ge, Zhihuan Song, Le Zhou, 2017 .

AI-GAN: Attack-Inspired Generation of Adversarial Examples pdf

Jun Zhao, Bo Li, Jinlin Zhu, 2020, ArXiv.

Toward Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-Based Method

Jinlin Zhu, Alex Kot, Tao Bai, 2021, IEEE Internet of Things Journal.

Improved Nonlinear Quality Estimation for Multiphase Batch Processes Based on Relevance Vector Machine with Neighborhood Component Variable Selection

Furong Gao, Jinlin Zhu, 2018 .

Recursive Mixture Factor Analyzer for Monitoring Multimode Time-Variant Industrial Processes

Zhiqiang Ge, Zhihuan Song, Jinlin Zhu, 2016 .