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2020 – today
- 2025
[j32]Hongwei Zhang, Zhidong Lu, Xiwei Chen, Shuai Lu, Le Yao:
Masked contrastive generative adversarial network for defect detection of yarn-dyed fabric. J. Supercomput. 81(1): 239 (2025)- 2024
- [j31]Husnain Ali
, Rizwan Safdar, Muhammad Hammad Rasool, Hirra Anjum, Yuanqiang Zhou, Yuan Yao, Le Yao, Furong Gao:
Advance industrial monitoring of physio-chemical processes using novel integrated machine learning approach. J. Ind. Inf. Integr. 42: 100709 (2024) - [j30]Jiusun Zeng, Cheng Lu, Le Yao, Yi Liu, Shihua Luo, Fei Wang, Chuanhou Gao:
Robust Stacked Probabilistic Latent Variable Model for Fault Isolation of Dynamic Process With Outliers. IEEE Trans Autom. Sci. Eng. 21(4): 6460-6472 (2024) - [j29]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): 8368-8378 (2024) - [j28]Zhichao Chen, Hao Wang, Guofei Chen, Yiran Ma, Le Yao, Zhiqiang Ge, Zhihuan Song:
Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors. IEEE Trans. Ind. Informatics 20(11): 13296-13307 (2024) - [j27]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: 1-11 (2024) - [j26]Zeyu Yang, Tingting Hu, Le Yao, Lingjian Ye, Yi Qiu, Shuxin Du:
Stacked Dual-Guided Autoencoder: A Scalable Deep Latent Variable Model for Semi-Supervised Industrial Soft Sensing. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [i1]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 abs/2407.05954 (2024) - 2023
- [j25]Le Yao, Zhiqiang Ge:
Causal variable selection for industrial process quality prediction via attention-based GRU network. Eng. Appl. Artif. Intell. 118: 105658 (2023) - [j24]Bingbing Shen, Le Yao, Zhiqiang Ge:
Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications. IEEE Trans. Cybern. 53(8): 4867-4879 (2023) - [j23]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): 6056-6068 (2023) - [j22]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): 8817-8828 (2023) - [j21]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): 9037-9047 (2023) - [j20]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: 1-11 (2023) - [j19]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: 1-12 (2023) - [j18]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: 1-12 (2023) - 2021
- [j17]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: 101441 (2021) - [j16]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): 17691-17704 (2021) - [j15]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): 7594-7602 (2021) - [j14]Le Yao, Zhiqiang Ge:
Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction. IEEE Trans. Ind. Informatics 17(6): 3782-3792 (2021) - [j13]Le Yao, Zhiqiang Ge:
Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes. IEEE Trans. Ind. Informatics 17(9): 6399-6408 (2021) - [j12]Le Yao, Zhiqiang Ge:
Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j11]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: 1-10 (2021) - [j10]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): 3330-3341 (2021) - [c3]Le Yao, Honglin Zhuang, Qianye Su, Zhechao Lin, Jiaxiang Gu:
Automatic Smart Device Identification Based on Web Fingerprint and Neural Network. BDSIC 2021: 33-41 - [c2]Le Yao, Honglin Zhuang, Zhechao Lin, Jiaxiang Gu:
Intelligent Device Identification Method Based on Network Packet Fingerprint. DSC 2021: 648-653 - 2020
- [j9]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: 107570 (2020) - [j8]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): 871-885 (2020)
2010 – 2019
- 2019
- [j7]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: 450-465 (2019) - [j6]Le Yao, Zhiqiang Ge:
Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes. IEEE Trans. Ind. Electron. 66(5): 3681-3692 (2019) - [j5]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): 6362-6373 (2019) - [j4]Le Yao, Zhiqiang Ge:
Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data. IEEE Trans. Ind. Informatics 15(7): 4044-4053 (2019) - [c1]Zeyu Yang, Le Yao, Zhiqiang Ge:
A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling. ASCC 2019: 850-855 - 2018
- [j3]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): 1490-1498 (2018) - 2017
- [j2]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): 126-138 (2017) - [j1]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): 1985-1993 (2017)
Coauthor Index
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