Locally Weighted Prediction Methods for Latent Factor Analysis With Supervised and Semisupervised Process Data. - Le Yao; Zhiqiang Ge (IEEE Trans Autom. Sci. Eng., 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)

Deep Learning of Semisupervised Process Data With Hierarchical Extreme Learning Machine and Soft Sensor Application. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Electron., 2018)

A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling. - Zeyu Yang; Le Yao; Zhiqiang Ge (ASCC, 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)

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)

Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Electron., 2019)

Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2019)

Latency-energy optimization for joint WiFi and cellular offloading in mobile edge computing networks. - Wenhao Fan; Junting Han; Le Yao; Fan Wu 007; Yuan'an Liu (Comput. Networks, 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)

Automatic Smart Device Identification Based on Web Fingerprint and Neural Network. - Le Yao; Honglin Zhuang; Qianye Su; Zhechao Lin; Jiaxiang Gu (BDSIC, 2021)

Intelligent Device Identification Method Based on Network Packet Fingerprint. - Le Yao; Honglin Zhuang; Zhechao Lin; Jiaxiang Gu (DSC, 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)

Game-Based Multitype Task Offloading Among Mobile-Edge-Computing-Enabled Base Stations. - Wenhao Fan; Le Yao; Junting Han; Fan Wu 007; Yuan'an Liu (IEEE Internet Things J., 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)

Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2021)

Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes. - Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2021)

Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development. - Le Yao; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 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)

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)

Causal variable selection for industrial process quality prediction via attention-based GRU network. - Le Yao; Zhiqiang Ge (Eng. Appl. Artif. Intell., 2023)

Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications. - Bingbing Shen; Le Yao; Zhiqiang Ge (IEEE Trans. Cybern., 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)

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)

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)

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, 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, 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, 2023)

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 (ICCIP, 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)

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 002; Le Yao; Furong Gao (J. Ind. Inf. Integr., 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)

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 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, 2024)

Robust Stacked Probabilistic Latent Variable Model for Fault Isolation of Dynamic Process With Outliers. - Jiusun Zeng; Cheng Lu; Le Yao; Yi Liu 037; Shihua Luo; Fei Wang; Chuanhou Gao (IEEE Trans Autom. Sci. Eng., 2024)

Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors. - Zhichao Chen 001; Hao Wang 049; Guofei Chen; Yiran Ma; Le Yao; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Ind. Informatics, 2024)

Causality-driven sequence segmentation assisted soft sensing for multiphase industrial processes. - Yimeng He; Xinmin Zhang; Xiangyin Kong; Le Yao; Zhihuan Song (Neurocomputing, 2025)

A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes. - Husnain Ali; Rizwan Safdar; Yuanqiang Zhou; Yuan Yao 002; Le Yao; Zheng Zhang; Weilong Ding; Furong Gao (Mach. Learn. Sci. Technol., 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)

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 028; Brent R. Young (IEEE Trans. Instrum. Meas., 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., 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, 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, 2025)

$ mathrm{E}^{2} text{AG}$: Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling. - Zhichao Chen 001; Licheng Pan; Yiran Ma; Zeyu Yang; Le Yao; Jinchuan Qian; Zhihuan Song (IEEE CAA J. Autom. Sinica, 2025)

Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control. - Zhichao Chen 001; Hao Wang 049; Licheng Pan; Yiran Ma; Yunfei Teng; Jiaze Ma; Le Yao; Zhiqiang Ge; Zhihuan Song (CoRR, 2025)