Le Yao - RankMe

53 papers Journal 49Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An APE-Driven LEO Satellite Constellation Design Method for Passive Maritime Localization. IEEE Internet Things J. Le Yao, Chao Xue, Boyu Deng, Siwen Li, Jingchao Wang
2026	J	`jnl`	Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework. IEEE Trans. Knowl. Data Eng. Zhichao Chen, Yulong Zhang, Odin Zhang, Fangyikang Wang, Le Yao, Hao Wang, Zhihuan Song
2026	J	`jnl`	GraphSiamese: Novel spatial-temporal slow feature fusion network for industrial process quality prediction. Appl. Soft Comput. Jiayu Wang, Weili Xiong, Le Yao, Xiaoyu Jiang, Xiaohui Cui, Wei Yu, Brent R. Young
2026	J	`jnl`	Information Leakage and Privacy Protection in Industrial Federated Learning. IEEE Trans. Syst. Man Cybern. Syst. Zilong Lin, Xiaoyu Jiang, Xinmin Zhang, Le Yao, Zhihuan Song
2026	J	`jnl`	Learning Beyond Time: Transformation-Aware Diffusion for Data-Augmented Soft-Sensor Modeling. IEEE Trans. Ind. Informatics Bingbing Shen, Benoît Champagne, Xiaoyu Jiang, Le Yao
2025	J	`jnl`	$\mathrm{E}^{2}\text{AG}$: Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling. IEEE CAA J. Autom. Sinica Zhichao Chen, Licheng Pan, Yiran Ma, Zeyu Yang, Le Yao, Jinchuan Qian, Zhihuan Song
2025	J	`jnl`	A Temporal Convolutional-Based Kolmogorov-Arnold Network for Industrial Soft Sensor Modeling. IEEE Trans. Instrum. Meas. Huanqi Sun, Wentao Liu, Fengrong Zeng, Lin Sui, Le Yao, Weili Xiong
2025	J	`jnl`	A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes. Mach. Learn. Sci. Technol. Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao
2025	J	`jnl`	Causality-driven sequence segmentation assisted soft sensing for multiphase industrial processes. Neurocomputing Yimeng He, Xinmin Zhang, Xiangyin Kong, Le Yao, Zhihuan Song
2025	J	`jnl`	Deep Spatial-Temporal Slow Feature Transfer Network for Multimode Chemical Process Soft Sensing on Imbalanced Data. IEEE Trans. Ind. Informatics Jiayu Wang, Le Yao, Weili Xiong, Xiaohui Cui, Wei Yu, Brent R. Young
2025	J	`jnl`	Emotional Multifaceted Feedback on AI Tool Use in EFL Learning Initiation: Chain-Mediated Effects of Motivation and Metacognitive Strategies in an Optimized TAM Model. CoRR Le Yao, Yantong Liu
2025	J	`jnl`	Local Feature Augmented Graph Transformer for Enhanced Industrial Process Fault Diagnosis. IEEE Trans. Instrum. Meas. Yu Qi, Le Yao, Bingbing Shen, Zheren Zhu, Jiusun Zeng, Yi Chai, Zhihuan Song
2025	J	`jnl`	Masked contrastive generative adversarial network for defect detection of yarn-dyed fabric. J. Supercomput. Hongwei Zhang, Zhidong Lu, Xiwei Chen, Shuai Lu, Le Yao
2025	J	`jnl`	OSF-JS: Orthonormal Slow Feature-Based Quality-Related Data Decomposition Network With Jensen-Shannon Divergence for Chemical Processes Incipient Fault Detection. IEEE Trans. Instrum. Meas. Jiayu Wang, Le Yao, Weili Xiong, Xiaohui Cui, Wei Yu, Brent R. Young
2025	J	`jnl`	Process monitoring and dynamic fusion of complex industrial systems: A reconstruction-based Bayesian framework. Comput. Chem. Eng. Husnain Ali, Rizwan Safdar, Jinfeng Liu, Muhammad Bilal Asif, XiangRui Zhang, Muhammad Hammad Rasool, Yuan Yao, Le Yao, Jian Ding, Furong Gao
2025	J	`jnl`	Relaxing Probabilistic Latent Variable Models' Specification via Infinite-Horizon Optimal Control. CoRR Zhichao Chen, Hao Wang, Licheng Pan, Yiran Ma, Yunfei Teng, Jiaze Ma, Le Yao, Zhiqiang Ge, Zhihuan Song
2025	J	`jnl`	Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network. IEEE Trans. Neural Networks Learn. Syst. Yuchen He, Xueqin Yang, Lijuan Qian, Le Yao, Lingjian Ye, Ping Wu, Gangyue Ye, Weirong Ye, Yafang Shen
2024	—	`conf`	A High-efficiency TDOA and FDOA Estimation Method Based on Convolutional Neural Networks. ICCIP Yukai Du, Boyu Deng, Jizheng Sun, Jinchun Gao, Le Yao, Jingchao Wang
2024	J	`jnl`	Advance industrial monitoring of physio-chemical processes using novel integrated machine learning approach. J. Ind. Inf. Integr. Husnain Ali, Rizwan Safdar, Muhammad Hammad Rasool, Hirra Anjum, Yuanqiang Zhou, Yuan Yao, Le Yao, Furong Gao
2024	J	`jnl`	Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors. IEEE Trans. Ind. Informatics Zhichao Chen, Hao Wang, Guofei Chen, Yiran Ma, Le Yao, Zhiqiang Ge, Zhihuan Song
2024	J	`jnl`	Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing. CoRR Yimeng He, Le Yao, Xinmin Zhang, Xiangyin Kong, Zhihuan Song
2024	J	`jnl`	Novel Semi-Supervised Deep Probabilistic Slow Feature Extraction for Online Chemical Process Soft Sensing Application. IEEE Trans. Instrum. Meas. Jiayu Wang, Le Yao, Weili Xiong
2024	J	`jnl`	Novel Two-Stream Deep Slow and Nonstationary Fast Feature Extraction for Chemical Process Soft Sensing Application. IEEE Trans. Ind. Informatics Jiayu Wang, Le Yao, Lin Sui, Weili Xiong
2024	J	`jnl`	Robust Stacked Probabilistic Latent Variable Model for Fault Isolation of Dynamic Process With Outliers. IEEE Trans Autom. Sci. Eng. Jiusun Zeng, Cheng Lu, Le Yao, Yi Liu, Shihua Luo, Fei Wang, Chuanhou Gao
2024	J	`jnl`	Stacked Dual-Guided Autoencoder: A Scalable Deep Latent Variable Model for Semi-Supervised Industrial Soft Sensing. IEEE Trans. Instrum. Meas. Zeyu Yang, Tingting Hu, Le Yao, Lingjian Ye, Yi Qiu, Shuxin Du
2023	J	`jnl`	Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes. IEEE Trans. Instrum. Meas. Yimeng He, Le Yao, Zhiqiang Ge, Zhihuan Song
2023	J	`jnl`	Causal variable selection for industrial process quality prediction via attention-based GRU network. Eng. Appl. Artif. Intell. Le Yao, Zhiqiang Ge
2023	J	`jnl`	Dynamic Bayesian Networks for Feature Learning and Transfer Applications in Remaining Useful Life Estimation. IEEE Trans. Instrum. Meas. Lingquan Zeng, Junhua Zheng, Le Yao, Zhiqiang Ge
2023	J	`jnl`	Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application. IEEE Trans. Instrum. Meas. Le Yao, Zeyu Yang, Zheng Zhang, Siyuan Tang, Bingbing Shen, Jiusun Zeng
2023	J	`jnl`	Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application. IEEE Trans. Ind. Informatics Yimeng He, Xiangyin Kong, Le Yao, Zhiqiang Ge
2023	J	`jnl`	Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications. IEEE Trans. Cybern. Bingbing Shen, Le Yao, Zhiqiang Ge
2023	J	`jnl`	Probabilistic Fusion Model for Industrial Soft Sensing Based on Quality-Relevant Feature Clustering. IEEE Trans. Ind. Informatics Zeyu Yang, Le Yao, Bingbing Shen, Peiliang Wang
2023	J	`jnl`	Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application. IEEE Trans. Ind. Informatics Le Yao, Bingbing Shen, Linlin Cui, Junhua Zheng, Zhiqiang Ge
2021	—	`conf`	Automatic Smart Device Identification Based on Web Fingerprint and Neural Network. BDSIC Le Yao, Honglin Zhuang, Qianye Su, Zhechao Lin, Jiaxiang Gu
2021	J	`jnl`	Biocrust microbiomes influence ecosystem structure and function in the Mu Us Sandland, northwest China. Ecol. Informatics Chang Tian, Jiao Xi, Mengchen Ju, Yahong Li, Qi Guo, Le Yao, Chun Wang, Yanbin Lin, Qiang Li, Wendy J. Williams, Chongfeng Bu
2021	J	`jnl`	Cooperative Deep Dynamic Feature Extraction and Variable Time-Delay Estimation for Industrial Quality Prediction. IEEE Trans. Ind. Informatics Le Yao, Zhiqiang Ge
2021	J	`jnl`	Dynamic Features Incorporated Locally Weighted Deep Learning Model for Soft Sensor Development. IEEE Trans. Instrum. Meas. Le Yao, Zhiqiang Ge
2021	J	`jnl`	Game-Based Multitype Task Offloading Among Mobile-Edge-Computing-Enabled Base Stations. IEEE Internet Things J. Wenhao Fan, Le Yao, Junting Han, Fan Wu, Yuan'an Liu
2021	J	`jnl`	Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data. IEEE Trans. Neural Networks Learn. Syst. Le Yao, Weiming Shao, Zhiqiang Ge
2021	J	`jnl`	Industrial Big Data Modeling and Monitoring Framework for Plant-Wide Processes. IEEE Trans. Ind. Informatics Le Yao, Zhiqiang Ge
2021	—	`conf`	Intelligent Device Identification Method Based on Network Packet Fingerprint. DSC Le Yao, Honglin Zhuang, Zhechao Lin, Jiaxiang Gu
2021	J	`jnl`	Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes. IEEE Trans. Ind. Electron. Jinlin Zhu, Muyun Jiang, Guohao Peng, Le Yao, Zhiqiang Ge
2021	J	`jnl`	Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model. IEEE Trans. Instrum. Meas. Le Yao, Xiaoyu Jiang, Gaopan Huang, Jinchuan Qian, Bingbing Shen, Lu Xu, Zhiqiang Ge
2020	J	`jnl`	Bayesian Nonlinear Gaussian Mixture Regression and its Application to Virtual Sensing for Multimode Industrial Processes. IEEE Trans Autom. Sci. Eng. Weiming Shao, Zhiqiang Ge, Le Yao, Zhihuan Song
2020	J	`jnl`	Latency-energy optimization for joint WiFi and cellular offloading in mobile edge computing networks. Comput. Networks Wenhao Fan, Junting Han, Le Yao, Fan Wu, Yuan'an Liu
2019	—	`conf`	A Novel Streaming Variational Bayesian Supervised Factor Analysis for Industrial Adaptive Soft Sensor Modeling. ASCC Zeyu Yang, Le Yao, Zhiqiang Ge
2019	J	`jnl`	Distributed parallel deep learning of Hierarchical Extreme Learning Machine for multimode quality prediction with big process data. Eng. Appl. Artif. Intell. Le Yao, Zhiqiang Ge
2019	J	`jnl`	Nonlinear Gaussian Mixture Regression for Multimode Quality Prediction With Partially Labeled Data. IEEE Trans. Ind. Informatics Le Yao, Zhiqiang Ge
2019	J	`jnl`	Parallel Computing and SGD-Based DPMM For Soft Sensor Development With Large-Scale Semisupervised Data. IEEE Trans. Ind. Electron. Weiming Shao, Le Yao, Zhiqiang Ge, Zhihuan Song
2019	J	`jnl`	Scalable Semisupervised GMM for Big Data Quality Prediction in Multimode Processes. IEEE Trans. Ind. Electron. Le Yao, Zhiqiang Ge
2018	J	`jnl`	Deep Learning of Semisupervised Process Data With Hierarchical Extreme Learning Machine and Soft Sensor Application. IEEE Trans. Ind. Electron. Le Yao, Zhiqiang Ge
2017	J	`jnl`	Locally Weighted Prediction Methods for Latent Factor Analysis With Supervised and Semisupervised Process Data. IEEE Trans Autom. Sci. Eng. Le Yao, Zhiqiang Ge
2017	J	`jnl`	Online Updating Soft Sensor Modeling and Industrial Application Based on Selectively Integrated Moving Window Approach. IEEE Trans. Instrum. Meas. Le Yao, Zhiqiang Ge