Le Yao

According to our database, Le Yao authored at least 45 papers between 2017 and 2025.

Collaborative distances:

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

2025

Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control.

Zhichao Chen, Hao Wang, Licheng Pan, Yiran Ma, Yunfei Teng, Jiaze Ma, Le Yao, Zhiqiang Ge, Zhihuan Song

CoRR, July, 2025

$\mathrm{E}^{2}\text{AG}$: Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling.

Zhichao Chen, Licheng Pan, Yiran Ma, Zeyu Yang, Le Yao, Jinchuan Qian, Zhihuan Song

IEEE CAA J. Autom. Sinica, April, 2025

Deep Spatial-Temporal Slow Feature Transfer Network for Multimode Chemical Process Soft Sensing on Imbalanced Data.

Jiayu Wang, Le Yao, Weili Xiong, Xiaohui Cui, Wei Yu, Brent R. Young

IEEE Trans. Ind. Informatics, March, 2025

Emotional Multifaceted Feedback on AI Tool Use in EFL Learning Initiation: Chain-Mediated Effects of Motivation and Metacognitive Strategies in an Optimized TAM Model.

Le Yao, Yantong Liu

CoRR, March, 2025

Masked contrastive generative adversarial network for defect detection of yarn-dyed fabric.

Hongwei Zhang, Zhidong Lu, Xiwei Chen, Shuai Lu, Le Yao

J. Supercomput., January, 2025

OSF-JS: Orthonormal Slow Feature-Based Quality-Related Data Decomposition Network With Jensen-Shannon Divergence for Chemical Processes Incipient Fault Detection.

Jiayu Wang, Le Yao, Weili Xiong, Xiaohui Cui, Wei Yu, Brent R. Young

IEEE Trans. Instrum. Meas., 2025

A Temporal Convolutional-Based Kolmogorov-Arnold Network for Industrial Soft Sensor Modeling.

Huanqi Sun, Wentao Liu, Fengrong Zeng, Lin Sui, Le Yao, Weili Xiong

IEEE Trans. Instrum. Meas., 2025

A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes.

Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

Mach. Learn. Sci. Technol., 2025

Causality-driven sequence segmentation assisted soft sensing for multiphase industrial processes.

Yimeng He, Xinmin Zhang, Xiangyin Kong, Le Yao, Zhihuan Song

Neurocomputing, 2025

2024

Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors.

Zhichao Chen, Hao Wang, Guofei Chen, Yiran Ma, Le Yao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Ind. Informatics, November, 2024

Robust Stacked Probabilistic Latent Variable Model for Fault Isolation of Dynamic Process With Outliers.

Jiusun Zeng, Cheng Lu, Le Yao, Yi Liu, Shihua Luo, Fei Wang, Chuanhou Gao

IEEE Trans Autom. Sci. Eng., October, 2024

Novel Two-Stream Deep Slow and Nonstationary Fast Feature Extraction for Chemical Process Soft Sensing Application.

Jiayu Wang, Le Yao, Lin Sui, Weili Xiong

IEEE Trans. Ind. Informatics, June, 2024

Stacked Dual-Guided Autoencoder: A Scalable Deep Latent Variable Model for Semi-Supervised Industrial Soft Sensing.

Zeyu Yang, Tingting Hu, Le Yao, Lingjian Ye, Yi Qiu, Shuxin Du

IEEE Trans. Instrum. Meas., 2024

Novel Semi-Supervised Deep Probabilistic Slow Feature Extraction for Online Chemical Process Soft Sensing Application.

Jiayu Wang, Le Yao, Weili Xiong

IEEE Trans. Instrum. Meas., 2024

Advance industrial monitoring of physio-chemical processes using novel integrated machine learning approach.

Husnain Ali, Rizwan Safdar, Muhammad Hammad Rasool, Hirra Anjum, Yuanqiang Zhou, Yuan Yao, Le Yao, Furong Gao

J. Ind. Inf. Integr., 2024

Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing.

Yimeng He, Le Yao, Xinmin Zhang, Xiangyin Kong, Zhihuan Song

CoRR, 2024

A High-efficiency TDOA and FDOA Estimation Method Based on Convolutional Neural Networks.

Yukai Du, Boyu Deng, Jizheng Sun, Jinchun Gao, Le Yao, Jingchao Wang

Proceedings of the 10th International Conference on Communication and Information Processing, 2024

2023

Probabilistic Fusion Model for Industrial Soft Sensing Based on Quality-Relevant Feature Clustering.

Zeyu Yang, Le Yao, Bingbing Shen, Peiliang Wang

IEEE Trans. Ind. Informatics, August, 2023

Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application.

Yimeng He, Xiangyin Kong, Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Informatics, August, 2023

Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application.

Le Yao, Bingbing Shen, Linlin Cui, Junhua Zheng, Zhiqiang Ge

IEEE Trans. Ind. Informatics, April, 2023

Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation.

Lingquan Zeng, Junhua Zheng, Le Yao, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2023

Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application.

Le Yao, Zeyu Yang, Zheng Zhang, Siyuan Tang, Bingbing Shen, Jiusun Zeng

IEEE Trans. Instrum. Meas., 2023

Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes.

Yimeng He, Le Yao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Instrum. Meas., 2023

Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications.

Bingbing Shen, Le Yao, Zhiqiang Ge

IEEE Trans. Cybern., 2023

Causal variable selection for industrial process quality prediction via attention-based GRU network.

Le Yao, Zhiqiang Ge

Eng. Appl. Artif. Intell., 2023

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 Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model.

Le Yao, Xiaoyu Jiang, Gaopan Huang, Jinchuan Qian, Bingbing Shen, Lu Xu, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2021

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

Le Yao, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2021

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

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2021

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

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2021

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

Jinlin Zhu, Muyun Jiang, Guohao Peng, Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Electron., 2021

Game-Based Multitype Task Offloading Among Mobile-Edge-Computing-Enabled Base Stations.

Wenhao Fan, Le Yao, Junting Han, Fan Wu, Yuan'an Liu

IEEE Internet Things J., 2021

Biocrust microbiomes influence ecosystem structure and function in the Mu Us Sandland, northwest China.

Chang Tian, Jiao Xi, Mengchen Ju, Yahong Li, Qi Guo, Le Yao, Chun Wang, Yanbin Lin, Qiang Li, Wendy J. Williams, Chongfeng Bu

Ecol. Informatics, 2021

Intelligent Device Identification Method Based on Network Packet Fingerprint.

Le Yao, Honglin Zhuang, Zhechao Lin, Jiaxiang Gu

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

Automatic Smart Device Identification Based on Web Fingerprint and Neural Network.

Le Yao, Honglin Zhuang, Qianye Su, Zhechao Lin, Jiaxiang Gu

Proceedings of the BDSIC 2021: 3rd International Conference on Big-data Service and Intelligent Computation, Xiamen, China, November 19, 2021

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

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

Wenhao Fan, Junting Han, Le Yao, Fan Wu, Yuan'an Liu

Comput. Networks, 2020

2019

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

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Informatics, 2019

Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes.

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Electron., 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

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

Le Yao, Zhiqiang Ge

Eng. Appl. Artif. Intell., 2019

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

Zeyu Yang, Le Yao, Zhiqiang Ge

Proceedings of the 12th Asian Control Conference, 2019

2018

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

Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Electron., 2018

2017

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

Le Yao, Zhiqiang Ge

IEEE Trans. Instrum. Meas., 2017

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

Le Yao, Zhiqiang Ge

IEEE Trans Autom. Sci. Eng., 2017