Ye Yuan
Orcid: 0000-0001-7858-0437Affiliations:
- Huazhong University of Science and Technology, School of Automation, Wuhan, China
- University of California Berkeley, CA, USA (former)
- University of Cambridge, Department of Engineering, UK (PhD 2012)
According to our database1,
Ye Yuan
authored at least 99 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
2023
Deep probabilistic graphical modeling for robust multivariate time series anomaly detection with missing data.
Reliab. Eng. Syst. Saf., October, 2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series.
IEEE Trans. Ind. Informatics, June, 2023
Noise-Aware Sparse Gaussian Processes and Application to Reliable Industrial Machinery Health Monitoring.
IEEE Trans. Ind. Informatics, April, 2023
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries.
Knowl. Based Syst., 2023
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach.
IEEE CAA J. Autom. Sinica, 2023
CoRR, 2023
2022
Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices.
IEEE Trans. Instrum. Meas., 2022
Data-Driven Discovery of Block-Oriented Nonlinear Models Using Sparse Null-Subspace Methods.
IEEE Trans. Cybern., 2022
Design of a Soft Gripper With Improved Microfluidic Tactile Sensors for Classification of Deformable Objects.
IEEE Robotics Autom. Lett., 2022
A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems.
CoRR, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Modeling and Control of Swing Oscillation of Underactuated Indoor Miniature Autonomous Blimps.
Unmanned Syst., 2021
System Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies.
IEEE Trans. Autom. Control., 2021
IEEE Trans. Autom. Control., 2021
Reply to: Clinical interpretation of an interpretable prognostic model for patients with COVID-19.
Nat. Mach. Intell., 2021
Nat. Mach. Intell., 2021
DeFed: A Principled Decentralized and Privacy-Preserving Federated Learning Algorithm.
CoRR, 2021
Manipulability and Robustness Optimization of the Cable-Driven Redundant Soft Manipulator.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021
2020
Bayesian Learning-Based Harmonic State Estimation in Distribution Systems With Smart Meter and DPMU Data.
IEEE Trans. Smart Grid, 2020
IEEE Trans. Ind. Informatics, 2020
Optimize TSK Fuzzy Systems for Regression Problems: Minibatch Gradient Descent With Regularization, DropRule, and AdaBound (MBGD-RDA).
IEEE Trans. Fuzzy Syst., 2020
Nat. Mach. Intell., 2020
Neurocomputing, 2020
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data.
Neurocomputing, 2020
A Hessian-Free Gradient Flow (HFGF) method for the optimisation of deep learning neural networks.
Comput. Chem. Eng., 2020
Autom., 2020
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model.
Proceedings of the 18th European Control Conference, 2020
2019
Dynamical differential expression (DyDE) reveals the period control mechanisms of the Arabidopsis circadian oscillator.
PLoS Comput. Biol., 2019
IEEE Control. Syst. Lett., 2019
CoRR, 2019
CoRR, 2019
Optimize TSK Fuzzy Systems for Big Data Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA).
CoRR, 2019
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis.
CoRR, 2019
Blind identification of fully observed linear time-varying systems via sparse recovery.
Autom., 2019
Special section on control of complex networked systems (CCNS): Recent results and future trends.
Annu. Rev. Control., 2019
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019
2018
IEEE Trans. Control. Netw. Syst., 2018
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks.
CoRR, 2018
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Sparse Bayesian Learning-Based Adaptive Impedance Control in Physical Human-Robot Interaction.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
Proceedings of the Intelligent Robotics and Applications - 11th International Conference, 2018
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018
Learning-based Adaptive Robust Control of Manipulated Pneumatic Artificial Muscle Driven by H2-based Metal Hydride.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
Electrospinning Sedimentary Microstructure Feedback Control by Tuning Substrate Linear Machine Velocity.
IEEE Trans. Ind. Electron., 2017
A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems.
IEEE Trans. Control. Netw. Syst., 2017
Blind Identification of Fully Observed Discrete-Time Linear Time-Varying Systems via Sparse Recovery.
CoRR, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
IEEE Trans. Autom. Control., 2016
On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach.
CoRR, 2016
On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach.
CoRR, 2016
Event Detection and Localization in Distribution Grids with Phasor Measurement Units.
CoRR, 2016
2015
Distributed Finite-Time Average Consensus in Digraphs in the Presence of Time Delays.
IEEE Trans. Control. Netw. Syst., 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
A stochastic framework for the design of transient and steady state behavior of biochemical reaction networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the American Control Conference, 2014
Proceedings of the American Control Conference, 2014
2013
IEEE Trans. Signal Process., 2013
IEEE Trans. Autom. Control., 2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Minimal realization of the dynamical structure function and its application to network reconstruction
CoRR, 2012
Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach
CoRR, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Dynamical structure function identifiability conditions enabling signal structure reconstruction.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
Sensor data scheduling for linear quadratic Gaussian control with full state feedback.
Proceedings of the American Control Conference, 2012
2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Minimal dynamical structure realisations with application to network reconstruction from data.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Decentralised final value theorem for discrete-time LTI systems with application to minimal-time distributed consensus.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009