Weiming Shao

According to our database, Weiming Shao authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Research and Development of a Multi-State Non-Invasive Monitoring System for Cluster Motors.

Zhisheng Lv, Delin Chen, Weiming Shao

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

Block-Wise Parallel Semisupervised Linear Dynamical System for Massive and Inconsecutive Time-Series Data With Application to Soft Sensing.

Weiming Shao, Yougao Li, Wenxue Han, Dongya Zhao

IEEE Trans. Instrum. Meas., 2022

Cumulative dual-branch network framework for long-tailed multi-class classification.

Saite Fan, Xinmin Zhang, Zhihuan Song, Weiming Shao

Eng. Appl. Artif. Intell., 2022

2021

Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data.

Le Yao, Weiming Shao, Zhiqiang Ge

IEEE Trans. Neural Networks Learn. Syst., 2021

Virtual Sensor Development for Multioutput Nonlinear Processes Based on Bilinear Neighborhood Preserving Regression Model With Localized Construction.

Chihang Wei, Weiming Shao, Zhihuan Song

IEEE Trans. Ind. Informatics, 2021

Dynamic Variational Bayesian Student's T Mixture Regression With Hidden Variables Propagation for Industrial Inferential Sensor Development.

Jingbo Wang, Weiming Shao, Xinmin Zhang, Zhihuan Song

IEEE Trans. Ind. Informatics, 2021

Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor.

Weiming Shao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Cybern., 2021

2020

Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model.

Weiming Shao, Zhiqiang Ge, Zhihuan Song, Jingbo Wang

IEEE Trans. Ind. Informatics, 2020

Bayesian Just-in-Time Learning and Its Application to Industrial Soft Sensing.

Weiming Shao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Informatics, 2020

Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes.

Weiming Shao, Zhiqiang Ge, Le Yao, Zhihuan Song

IEEE Trans Autom. Sci. Eng., 2020

An Efficient Modeling and Optimization Approach for Pressure Testing During Reentry Operation of Deepwater Drilling Riser System.

Kang Liu, Guoming Chen, Weiming Shao

IEEE Access, 2020

2019

Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data.

Weiming Shao, Le Yao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Electron., 2019

Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression.

Weiming Shao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Control. Syst. Technol., 2019

Robust inferential sensor development based on variational Bayesian Student's-<i>t</i> mixture regression.

Jingbo Wang, Weiming Shao, Zhihuan Song

Neurocomputing, 2019

Robust Supervised Probabilistic Factor Analysis and Its Application to Industrial Soft Sensor Modeling.

Weiming Shao, Hongwei Zhang, Zhihuan Song

IEEE Access, 2019

Robust Soft Sensing for Multi-mode Processes Based on Bayesian Regularized Student's-t Mixture Regression.

Jingbo Wang, Weiming Shao, Zhihuan Song

Proceedings of the 12th Asian Control Conference, 2019

Nonlinear Inferential Sensor Development Based on GMM-ELM.

Weiming Shao, Zhiqiang Ge, Zhihuan Song, Li Zhao

Proceedings of the 12th Asian Control Conference, 2019

2018

Student's-<i>t</i> Mixture Regression-Based Robust Soft Sensor Development for Multimode Industrial Processes.

Jingbo Wang, Weiming Shao, Zhihuan Song

Sensors, 2018

Adaptive Soft Sensor Development for Multi-Output Industrial Processes Based on Selective Ensemble Learning.

Weiming Shao, Sheng Chen, Chris J. Harris

IEEE Access, 2018

2017

Semi-supervised selective ensemble learning based on distance to model for nonlinear soft sensor development.

Weiming Shao, Xuemin Tian

Neurocomputing, 2017