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Le Yao
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 31
Top Topics
Soft Sensor
Top Venues
IEEE Trans. Instrum. Meas.
IEEE Trans. Ind. Informatics
IEEE Trans. Ind. Electron.
Eng. Appl. Artif. Intell.
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Publications
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Jiayu Wang
,
Le Yao
,
Lin Sui
,
Weili Xiong
Novel Two-Stream Deep Slow and Nonstationary Fast Feature Extraction for Chemical Process Soft Sensing Application.
IEEE Trans. Ind. Informatics
20 (6) (2024)
Jiayu Wang
,
Le Yao
,
Weili Xiong
Novel Semi-Supervised Deep Probabilistic Slow Feature Extraction for Online Chemical Process Soft Sensing Application.
IEEE Trans. Instrum. Meas.
73 (2024)
Yimeng He
,
Le Yao
,
Xinmin Zhang
,
Xiangyin Kong
,
Zhihuan Song
Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing.
CoRR
(2024)
Le Yao
,
Bingbing Shen
,
Linlin Cui
,
Junhua Zheng
,
Zhiqiang Ge
Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application.
IEEE Trans. Ind. Informatics
19 (4) (2023)
Yimeng He
,
Xiangyin Kong
,
Le Yao
,
Zhiqiang Ge
Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application.
IEEE Trans. Ind. Informatics
19 (8) (2023)
Le Yao
,
Zeyu Yang
,
Zheng Zhang
,
Siyuan Tang
,
Bingbing Shen
,
Jiusun Zeng
Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application.
IEEE Trans. Instrum. Meas.
72 (2023)
Bingbing Shen
,
Le Yao
,
Zhiqiang Ge
Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications.
IEEE Trans. Cybern.
53 (8) (2023)
Le Yao
,
Zhiqiang Ge
Causal variable selection for industrial process quality prediction via attention-based GRU network.
Eng. Appl. Artif. Intell.
118 (2023)
Zeyu Yang
,
Le Yao
,
Bingbing Shen
,
Peiliang Wang
Probabilistic Fusion Model for Industrial Soft Sensing Based on Quality-Relevant Feature Clustering.
IEEE Trans. Ind. Informatics
19 (8) (2023)
Lingquan Zeng
,
Junhua Zheng
,
Le Yao
,
Zhiqiang Ge
Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation.
IEEE Trans. Instrum. Meas.
72 (2023)
Yimeng He
,
Le Yao
,
Zhiqiang Ge
,
Zhihuan Song
Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes.
IEEE Trans. Instrum. Meas.
72 (2023)
Wenhao Fan
,
Le Yao
,
Junting Han
,
Fan Wu
,
Yuan'an Liu
Game-Based Multitype Task Offloading Among Mobile-Edge-Computing-Enabled Base Stations.
IEEE Internet Things J.
8 (24) (2021)
Le Yao
,
Zhiqiang Ge
Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction.
IEEE Trans. Ind. Informatics
17 (6) (2021)
Chang Tian
,
Jiao Xi
,
Mengchen Ju
,
Yahong Li
,
Qi Guo
,
Le Yao
,
Chun Wang
,
Yanbin Lin
,
Qiang Li
,
Wendy J. Williams
,
Chongfeng Bu
Biocrust microbiomes influence ecosystem structure and function in the Mu Us Sandland, northwest China.
Ecol. Informatics
66 (2021)
Le Yao
,
Zhiqiang Ge
Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development.
IEEE Trans. Instrum. Meas.
70 (2021)
Le Yao
,
Weiming Shao
,
Zhiqiang Ge
Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data.
IEEE Trans. Neural Networks Learn. Syst.
32 (8) (2021)
Le Yao
,
Zhiqiang Ge
Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes.
IEEE Trans. Ind. Informatics
17 (9) (2021)
Le Yao
,
Honglin Zhuang
,
Qianye Su
,
Zhechao Lin
,
Jiaxiang Gu
Automatic Smart Device Identification Based on Web Fingerprint and Neural Network.
BDSIC
(2021)
Jinlin Zhu
,
Muyun Jiang
,
Guohao Peng
,
Le Yao
,
Zhiqiang Ge
Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes.
IEEE Trans. Ind. Electron.
68 (8) (2021)
Le Yao
,
Xiaoyu Jiang
,
Gaopan Huang
,
Jinchuan Qian
,
Bingbing Shen
,
Lu Xu
,
Zhiqiang Ge
Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model.
IEEE Trans. Instrum. Meas.
70 (2021)
Le Yao
,
Honglin Zhuang
,
Zhechao Lin
,
Jiaxiang Gu
Intelligent Device Identification Method Based on Network Packet Fingerprint.
DSC
(2021)
Wenhao Fan
,
Junting Han
,
Le Yao
,
Fan Wu
,
Yuan'an Liu
Latency-energy optimization for joint WiFi and cellular offloading in mobile edge computing networks.
Comput. Networks
181 (2020)
Weiming Shao
,
Zhiqiang Ge
,
Le Yao
,
Zhihuan Song
Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes.
IEEE Trans Autom. Sci. Eng.
17 (2) (2020)
Le Yao
,
Zhiqiang Ge
Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data.
IEEE Trans. Ind. Informatics
15 (7) (2019)
Zeyu Yang
,
Le Yao
,
Zhiqiang Ge
A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling.
ASCC
(2019)
Le Yao
,
Zhiqiang Ge
Distributed parallel deep learning of Hierarchical Extreme Learning Machine for multimode quality prediction with big process data.
Eng. Appl. Artif. Intell.
81 (2019)
Weiming Shao
,
Le Yao
,
Zhiqiang Ge
,
Zhihuan Song
Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data.
IEEE Trans. Ind. Electron.
66 (8) (2019)
Le Yao
,
Zhiqiang Ge
Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes.
IEEE Trans. Ind. Electron.
66 (5) (2019)
Le Yao
,
Zhiqiang Ge
Deep Learning of Semisupervised Process Data With Hierarchical Extreme Learning Machine and Soft Sensor Application.
IEEE Trans. Ind. Electron.
65 (2) (2018)
Le Yao
,
Zhiqiang Ge
Locally Weighted Prediction Methods for Latent Factor Analysis With Supervised and Semisupervised Process Data.
IEEE Trans Autom. Sci. Eng.
14 (1) (2017)
Le Yao
,
Zhiqiang Ge
Online Updating Soft Sensor Modeling and Industrial Application Based on Selectively Integrated Moving Window Approach.
IEEE Trans. Instrum. Meas.
66 (8) (2017)