Weiming Shao - RankMe

27 papers C 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Causal Knowledge-Assisted Semi-Supervised Dynamical Generative Latent Variable Model for Industrial Quality Index Prediction. IEEE Trans. Syst. Man Cybern. Syst. Wenxue Han, Ze Tian, Weiming Shao, Junghui Chen
2026	J	`jnl`	A physical causality-informed generative latent variable modeling paradigm for industrial virtual metrology. Adv. Eng. Informatics Weiming Shao, Hongjian Yu, Wenxue Han, Zeyu Yang, Junghui Chen
2025	J	`jnl`	Multi-strategy improved black-winged kite algorithm and its application in short-term load forecasting using gated recurrent unit neural networks. Evol. Intell. Hao Zhang, Liming Liu, Yongkuan Yang, Weiming Shao
2025	J	`jnl`	Semi-Supervised Robust Hidden Markov Regression for Large-Scale Time-Series Industrial Data Analytics and its Applications to Soft Sensing. IEEE Trans Autom. Sci. Eng. Weiming Shao, Wenxue Han, Chuanfa Xiao, Lei Chen, Meng-Qin Yu, Junghui Chen
2024	J	`jnl`	A mixture of shallow neural networks for virtual sensing: Could perform better than deep neural networks. Expert Syst. Appl. Weiming Shao, Xu Li, Yupeng Xing, Junghui Chen
2024	J	`jnl`	A novel semi-supervised robust learning framework for dynamic generative latent variable models and its application to industrial virtual metrology. Adv. Eng. Informatics Wenxue Han, Weiming Shao, Chihang Wei, Wei Song, Can Chen, Junghui Chen
2024	J	`jnl`	Virtual Sensing of Key Variables in the Hydrogen Production Process: A Comparative Study of Data-Driven Models. Sensors Yating Yao, Yupeng Xing, Ziteng Zuo, Chihang Wei, Weiming Shao
2023	C	`conf`	Research and Development of a Multi-State Non-Invasive Monitoring System for Cluster Motors. IECON Zhisheng Lv, Delin Chen, Weiming Shao
2022	J	`jnl`	Block-Wise Parallel Semisupervised Linear Dynamical System for Massive and Inconsecutive Time-Series Data With Application to Soft Sensing. IEEE Trans. Instrum. Meas. Weiming Shao, Yougao Li, Wenxue Han, Dongya Zhao
2022	J	`jnl`	Cumulative dual-branch network framework for long-tailed multi-class classification. Eng. Appl. Artif. Intell. Saite Fan, Xinmin Zhang, Zhihuan Song, Weiming Shao
2021	J	`jnl`	Dynamic Variational Bayesian Student's T Mixture Regression With Hidden Variables Propagation for Industrial Inferential Sensor Development. IEEE Trans. Ind. Informatics Jingbo Wang, Weiming Shao, Xinmin Zhang, Zhihuan Song
2021	J	`jnl`	Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data. IEEE Trans. Neural Networks Learn. Syst. Le Yao, Weiming Shao, Zhiqiang Ge
2021	J	`jnl`	Semisupervised Bayesian Gaussian Mixture Models for Non-Gaussian Soft Sensor. IEEE Trans. Cybern. Weiming Shao, Zhiqiang Ge, Zhihuan Song
2021	J	`jnl`	Virtual Sensor Development for Multioutput Nonlinear Processes Based on Bilinear Neighborhood Preserving Regression Model With Localized Construction. IEEE Trans. Ind. Informatics Chihang Wei, Weiming Shao, Zhihuan Song
2020	J	`jnl`	An Efficient Modeling and Optimization Approach for Pressure Testing During Reentry Operation of Deepwater Drilling Riser System. IEEE Access Kang Liu, Guoming Chen, Weiming Shao
2020	J	`jnl`	Bayesian Just-in-Time Learning and Its Application to Industrial Soft Sensing. IEEE Trans. Ind. Informatics Weiming Shao, Zhiqiang Ge, Zhihuan Song
2020	J	`jnl`	Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes. IEEE Trans Autom. Sci. Eng. Weiming Shao, Zhiqiang Ge, Le Yao, Zhihuan Song
2020	J	`jnl`	Semisupervised Robust Modeling of Multimode Industrial Processes for Quality Variable Prediction Based on Student's t Mixture Model. IEEE Trans. Ind. Informatics Weiming Shao, Zhiqiang Ge, Zhihuan Song, Jingbo Wang
2019	—	`conf`	Nonlinear Inferential Sensor Development Based on GMM-ELM. ASCC Weiming Shao, Zhiqiang Ge, Zhihuan Song, Li Zhao
2019	J	`jnl`	Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data. IEEE Trans. Ind. Electron. Weiming Shao, Le Yao, Zhiqiang Ge, Zhihuan Song
2019	—	`conf`	Robust Soft Sensing for Multi-mode Processes Based on Bayesian Regularized Student's-t Mixture Regression. ASCC Jingbo Wang, Weiming Shao, Zhihuan Song
2019	J	`jnl`	Robust Supervised Probabilistic Factor Analysis and Its Application to Industrial Soft Sensor Modeling. IEEE Access Weiming Shao, Hongwei Zhang, Zhihuan Song
2019	J	`jnl`	Robust inferential sensor development based on variational Bayesian Student's- Neurocomputing Jingbo Wang, Weiming Shao, Zhihuan Song
2019	J	`jnl`	Soft-Sensor Development for Processes With Multiple Operating Modes Based on Semisupervised Gaussian Mixture Regression. IEEE Trans. Control. Syst. Technol. Weiming Shao, Zhiqiang Ge, Zhihuan Song
2018	J	`jnl`	Adaptive Soft Sensor Development for Multi-Output Industrial Processes Based on Selective Ensemble Learning. IEEE Access Weiming Shao, Sheng Chen, Chris J. Harris
2018	J	`jnl`	Student's- Sensors Jingbo Wang, Weiming Shao, Zhihuan Song
2017	J	`jnl`	Semi-supervised selective ensemble learning based on distance to model for nonlinear soft sensor development. Neurocomputing Weiming Shao, Xuemin Tian