Le Yao

发表

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

Le Yao, Weiming Shao, Zhiqiang Ge, 2019, IEEE transactions on neural networks and learning systems.

A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling

Zhiqiang Ge, Le Yao, Zeyu Yang, 2019, 2019 12th Asian Control Conference (ASCC).

Variable selection for nonlinear soft sensor development with enhanced Binary Differential Evolution algorithm

Zhiqiang Ge, Le Yao, Zhiqiang Ge, 2018 .

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

Zhiqiang Ge, Zhihuan Song, Le Yao, 2019, IEEE Transactions on Industrial Electronics.

Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes

Le Yao, Zhiqiang Ge, Zhiqiang Ge, 2021, IEEE Transactions on Industrial Informatics.

Latency-energy optimization for joint WiFi and cellular offloading in mobile edge computing networks

Le Yao, Yuanan Liu, Wenhao Fan, 2020, Comput. Networks.

Deep Learning of Semisupervised Process Data With Hierarchical Extreme Learning Machine and Soft Sensor Application

Zhiqiang Ge, Le Yao, Zhiqiang Ge, 2018, IEEE Transactions on Industrial Electronics.

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

Le Yao, Weiming Shao, Zhiqiang Ge, 2020, IEEE Transactions on Automation Science and Engineering.

Multi-grain Cascade Recurrent Neural Network for Nonlinear Time-varying Process Soft Sensor Modeling

Zhiqiang Ge, Le Yao, Zhihuan Song, 2019, 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS).

Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes

Zhiqiang Ge, Le Yao, Zhiqiang Ge, 2019, IEEE Transactions on Industrial Electronics.

Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction

Le Yao, Zhiqiang Ge, Zhiqiang Ge, 2021, IEEE Transactions on Industrial Informatics.

Distributed parallel deep learning of Hierarchical Extreme Learning Machine for multimode quality prediction with big process data

Zhiqiang Ge, Le Yao, Zhiqiang Ge, 2019, Eng. Appl. Artif. Intell..

A Spatial-information-based Semi-supervised Soft Sensor for f-CaO Content Prediction in Cement Industry

Zhiqiang Ge, Le Yao, Gaopan Huang, 2020, 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS).

Moving window adaptive soft sensor for state shifting process based on weighted supervised latent factor analysis

Zhiqiang Ge, Le Yao, 2017 .

Refining data-driven soft sensor modeling framework with variable time reconstruction

Le Yao, Zhiqiang Ge, Zhiqiang Ge, 2020 .

Online Updating Soft Sensor Modeling and Industrial Application Based on Selectively Integrated Moving Window Approach

Zhiqiang Ge, Le Yao, Zhiqiang Ge, 2017, IEEE Transactions on Instrumentation and Measurement.

Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data

Zhiqiang Ge, Le Yao, 2019, IEEE Transactions on Industrial Informatics.

Nonlinear Variational Bayesian Factor Regression for Inferential Sensor Modeling

Zhiqiang Ge, Le Yao, Weiming Shao, 2019, 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS).

Big data quality prediction in the process industry: A distributed parallel modeling framework

Zhiqiang Ge, Le Yao, Zhiqiang Ge, 2018, Journal of Process Control.

A Novel Scalable Semi-supervised GMM and Its Application for Multimode Process Quality Prediction with Big Data

Zhiqiang Ge, Zhihuan Song, Le Yao, 2018, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS).

Streaming parallel variational Bayesian supervised factor analysis for adaptive soft sensor modeling with big process data

Le Yao, Zhiqiang Ge, Zeyu Yang, 2020 .

Scalable learning and probabilistic analytics of industrial big data based on parameter server: Framework, methods and applications

Zhiqiang Ge, Le Yao, Zhiqiang Ge, 2019, Journal of Process Control.

Locally Weighted Prediction Methods for Latent Factor Analysis With Supervised and Semisupervised Process Data

Zhiqiang Ge, Le Yao, Zhiqiang Ge, 2017, IEEE Transactions on Automation Science and Engineering.

Soft Sensor Development for Multimode Processes Based on Semisupervised Gaussian Mixture Models

Zhihuan Song, Le Yao, Weiming Shao, 2018 .

Research on Confirmation of Tension Leveller Basic Technological Parameters based on Neural Network and Genetic Algorithm

Kai Liu, Le Yao, He Gao, 2007 .

Nonlinear probabilistic latent variable regression models for soft sensor application: From shallow to deep structure

Le Yao, Zhiqiang Ge, Bingbing Shen, 2020 .

Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development

Zhiqiang Ge, Le Yao, Zhiqiang Ge, 2021, IEEE Transactions on Instrumentation and Measurement.

Junghui Chen, Zhihuan Song, Le Yao, 2017 .