Ye Yuan

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 80

Top Venues

CoRR

CDC

IEEE Trans. Control. Netw. Syst.

Nat. Mach. Intell.

Publications

Xiuting Li, Hai-Tao Zhang, Xiang Huang, Linlin Li, Limin Zhu, Han Ding, Ye Yuan
Data-Driven Koopman Learning and Prediction of Piezoelectric Tube Scanner Hysteresis. IEEE Trans. Syst. Man Cybern. Syst. 54 (6) (2024)
Marino Gavidia, Hongling Zhu, Arthur N. Montanari, Jesús Fuentes, Cheng Cheng, Sergio Dubner, Martin Chames, Pierre Maison-Blanche, Md. Moklesur Rahman, Roberto Sassi, Fabio Badilini, Yinuo Jiang, Shengjun Zhang, Hai-Tao Zhang, Hao Du, Basi Teng, Ye Yuan, Guohua Wan, Zhouping Tang, Xin He, Xiaoyun Yang, Jorge Goncalves
Early warning of atrial fibrillation using deep learning. Patterns 5 (6) (2024)
Guijun Ma, Songpei Xu, Tao Yang, Zhenbang Du, Limin Zhu, Han Ding, Ye Yuan
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Jingyu Yang, Zuogong Yue, Ye Yuan
Noise-Aware Sparse Gaussian Processes and Application to Reliable Industrial Machinery Health Monitoring. IEEE Trans. Ind. Informatics 19 (4) (2023)
Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach. IEEE CAA J. Autom. Sinica 10 (7) (2023)
Zhexuan Zeng, Ye Yuan
A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator. CoRR (2023)
Ye Yuan, Steven H. Low, Omid Ardakanian, Claire J. Tomlin
Inverse Power Flow Problem. IEEE Trans. Control. Netw. Syst. 10 (1) (2023)
Cheng Cheng, Xiaoyu Liu, Beitong Zhou, Ye Yuan
Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series. IEEE Trans. Ind. Informatics 19 (6) (2023)
Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries. Knowl. Based Syst. 259 (2023)
Jingyu Yang, Zuogong Yue, Ye Yuan
Deep probabilistic graphical modeling for robust multivariate time series anomaly detection with missing data. Reliab. Eng. Syst. Saf. 238 (2023)
Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang, Ruimin Peng, Zhenhua Shi
BoostTree and BoostForest for Ensemble Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Shaolin Ran, Xiaoyun Yang, Ming Liu, Yong Zhang, Cheng Cheng, Hongling Zhu, Ye Yuan
Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices. IEEE Trans. Instrum. Meas. 71 (2022)
Jun Liu, Ye Yuan
On Almost Sure Convergence Rates of Stochastic Gradient Methods. CoRR (2022)
Junlin Li, Xiuting Li, Hai-Tao Zhang, Guanrong Chen, Ye Yuan
Data-Driven Discovery of Block-Oriented Nonlinear Models Using Sparse Null-Subspace Methods. IEEE Trans. Cybern. 52 (5) (2022)
Linan Deng, Yi Shen, Genglin Fan, Xin He, Zhi Li, Ye Yuan
Design of a Soft Gripper With Improved Microfluidic Tactile Sensors for Classification of Deformable Objects. IEEE Robotics Autom. Lett. 7 (2) (2022)
Jun Liu, Ye Yuan
On Almost Sure Convergence Rates of Stochastic Gradient Methods. COLT (2022)
Zhexuan Zeng, Zuogong Yue, Alexandre Mauroy, Jorge M. Gonçalves, Ye Yuan
A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems. CDC (2022)
Zhexuan Zeng, Zuogong Yue, Alexandre Mauroy, Jorge Goncalves, Ye Yuan
A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems. CoRR (2022)
Zuogong Yue, Johan Thunberg, Lennart Ljung, Ye Yuan, Jorge M. Gonçalves
System Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies. IEEE Trans. Autom. Control. 66 (12) (2021)
Qiuyang Tao, Tun Jian Tan, Jaeseok Cha, Ye Yuan, Fumin Zhang
Modeling and Control of Swing Oscillation of Underactuated Indoor Miniature Autonomous Blimps. Unmanned Syst. 9 (1) (2021)
Ye Yuan, Ruijuan Chen, Chuan Sun, Maolin Wang, Feng Hua, Xinlei Yi, Tao Yang, Jun Liu
DeFed: A Principled Decentralized and Privacy-Preserving Federated Learning Algorithm. CoRR (2021)
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
A Full Bayesian Approach to Sparse Network Inference Using Heterogeneous Datasets. IEEE Trans. Autom. Control. 66 (7) (2021)
Yi Shen, Yang Hong, Wei Zhou, Ruochen Tai, Ye Yuan, Han Ding
Manipulability and Robustness Optimization of the Cable-Driven Redundant Soft Manipulator. ROBIO (2021)
Ye Yuan, Jorge M. Gonçalves, Yan Xiao, Hai-Tao Zhang, Hui Xu, Zhiguo Cao
Reply to: Clinical interpretation of an interpretable prognostic model for patients with COVID-19. Nat. Mach. Intell. 3 (1) (2021)
Li Yan, Jorge M. Gonçalves, Hai-Tao Zhang, Shusheng Li, Ye Yuan
Reply to: Consider the laboratory aspects in developing patient prediction models. Nat. Mach. Intell. 3 (1) (2021)
Jorge M. Gonçalves, Li Yan, Hai-Tao Zhang, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Zhiguo Cao, Shusheng Li, Hui Xu, Cheng Cheng, Junyang Jin, Ye Yuan
Li Yan et al. reply. Nat. Mach. Intell. 3 (1) (2021)
Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data. Neurocomputing 409 (2020)
Wei Zhou, Omid Ardakanian, Hai-Tao Zhang, Ye Yuan
Bayesian Learning-Based Harmonic State Estimation in Distribution Systems With Smart Meter and DPMU Data. IEEE Trans. Smart Grid 11 (1) (2020)
Pengchao Hu, Guijun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, Ye Yuan
State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model. ECC (2020)
Hai-Tao Zhang, Weigao Sun, Yuanzheng Li, Dongfei Fu, Ye Yuan
A Fast Optimal Power Flow Algorithm Using Powerball Method. IEEE Trans. Ind. Informatics 16 (11) (2020)
Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, Ye Yuan
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization. IJCAI (2020)
Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang
BoostTree and BoostForest for Ensemble Learning. CoRR (2020)
Sushen Zhang, Ruijuan Chen, Wenyu Du, Ye Yuan, Vassilios S. Vassiliadis
A Hessian-Free Gradient Flow (HFGF) method for the optimisation of deep learning neural networks. Comput. Chem. Eng. 141 (2020)
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
High precision variational Bayesian inference of sparse linear networks. Autom. 118 (2020)
Li Yan, Hai-Tao Zhang, Jorge M. Gonçalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao, Shusheng Li, Hui Xu, Ye Yuan
An interpretable mortality prediction model for COVID-19 patients. Nat. Mach. Intell. 2 (5) (2020)
Yunlong Dong, Xiuchuan Tang, Ye Yuan
Principled reward shaping for reinforcement learning via lyapunov stability theory. Neurocomputing 393 (2020)
Dongrui Wu, Ye Yuan, Jian Huang, Yihua Tan
Optimize TSK Fuzzy Systems for Regression Problems: Minibatch Gradient Descent With Regularization, DropRule, and AdaBound (MBGD-RDA). IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Jianming Lian, Tao Yang, Ye Yuan
Special section on control of complex networked systems (CCNS): Recent results and future trends. Annu. Rev. Control. 47 (2019)
Tao Yang, Xinlei Yi, Junfeng Wu, Ye Yuan, Di Wu, Ziyang Meng, Yiguang Hong, Hong Wang, Zongli Lin, Karl Henrik Johansson
A survey of distributed optimization. Annu. Rev. Control. 47 (2019)
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
High Precision Variational Bayesian Inference of Sparse Linear Networks. CoRR (2019)
Yunlong Dong, Xiangdi Liu, Bidan Huang, Chunlin Ji, Jianfeng Xu, Han Ding, Ye Yuan
Deep Grasping Prediction with Antipodal Loss for Dual Arm Manipulators. ICIRA (1) (2019)
Laurent Mombaerts, Alberto Carignano, Fiona C. Robertson, Timothy J. Hearn, Jin Junyang, David P. Hayden, Zoe Rutterford, Carlos T. Hotta, Katherine E. Hubbard, Marti Ruiz C. Maria, Ye Yuan, Matthew A. Hannah, Jorge M. Gonçalves, Alex Webb
Dynamical differential expression (DyDE) reveals the period control mechanisms of the Arabidopsis circadian oscillator. PLoS Comput. Biol. 15 (1) (2019)
Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding
Artificial Intelligent Diagnosis and Monitoring in Manufacturing. CoRR (2019)
Wenqian Jiang, Cheng Cheng, Beitong Zhou, Guijun Ma, Ye Yuan
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series. CoRR (2019)
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
A Full Bayesian Approach to Sparse Network Inference using Heterogeneous Datasets. CoRR (2019)
Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis. CoRR (2019)
Ye Yuan, Junlin Li, Liang Li, Frank Jiang, Xiuchuan Tang, Fumin Zhang, Sheng Liu, Jorge M. Gonçalves, Henning U. Voss, Xiuting Li, Jürgen Kurths, Han Ding
Machine Discovery of Partial Differential Equations from Spatiotemporal Data. CoRR (2019)
Omid Ardakanian, Vincent W. S. Wong, Roel Dobbe, Steven H. Low, Alexandra von Meier, Claire J. Tomlin, Ye Yuan
On Identification of Distribution Grids. IEEE Trans. Control. Netw. Syst. 6 (3) (2019)
Roel Dobbe, Stephan Liu, Ye Yuan, Claire J. Tomlin
Blind identification of fully observed linear time-varying systems via sparse recovery. Autom. 100 (2019)
Ye Yuan, Mu Li, Jun Liu, Claire J. Tomlin
On the Powerball Method: Variants of Descent Methods for Accelerated Optimization. IEEE Control. Syst. Lett. 3 (3) (2019)
Dongrui Wu, Ye Yuan, Yihua Tan
Optimize TSK Fuzzy Systems for Big Data Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA). CoRR (2019)
Kelin Li, Huan Zhao, Thanana Nuchkrua, Ye Yuan, Han Ding
Sparse Bayesian Learning-Based Adaptive Impedance Control in Physical Human-Robot Interaction. ROBIO (2018)
Kelin Li, Thanana Nuchkrua, Huan Zhao, Ye Yuan, Sudchai Boonto
Learning-based Adaptive Robust Control of Manipulated Pneumatic Artificial Muscle Driven by H2-based Metal Hydride. CASE (2018)
Ye Yuan, Xiuchuan Tang, Wei Pan, Xiuting Li, Wei Zhou, Hai-Tao Zhang, Han Ding, Jorge M. Gonçalves
Data-driven Discovery of Cyber-Physical Systems. CoRR (2018)
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
Identification of Nonlinear State-Space Systems From Heterogeneous Datasets. IEEE Trans. Control. Netw. Syst. 5 (2) (2018)
Binbin Hu, Bin Liu, Zhecheng Xu, Tao Geng, Ye Yuan, Hai-Tao Zhang
Distributed Hunting for Multi USVs Based on Cyclic Estimation and Pursuit. ICIRA (1) (2018)
Ye Yuan, Wei Zhou, Hai-Tao Zhang, Zuowei Ping, Omid Ardakanian
Sparse Bayesian Harmonic State Estimation. SmartGridComm (2018)
Lisha Yao, Ye Yuan, Shreyas Sundaram, Tao Yang
Distributed Finite-Time Optimization. ICCA (2018)
Neave O'Clery, Ye Yuan, Guy-Bart Stan, Mauricio Barahona
Global Network Prediction from Local Node Dynamics. CoRR (2018)
Cheng Cheng, Guijun Ma, Yong Zhang, Mingyang Sun, Fei Teng, Han Ding, Ye Yuan
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks. CoRR (2018)
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
Network Identifiability from Intrinsic Noise. IEEE Trans. Autom. Control. 62 (8) (2017)
Hai-Tao Zhang, Gui-Ping Ren, Yue Wu, Hong-Wei Sun, Jian Huang, Zhouping Yin, Ye Yuan
Electrospinning Sedimentary Microstructure Feedback Control by Tuning Substrate Linear Machine Velocity. IEEE Trans. Ind. Electron. 64 (11) (2017)
Junyang Jin, Ye Yuan, Wei Pan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves
Identification of nonlinear sparse networks using sparse Bayesian learning. CDC (2017)
Ye Yuan, Anurag Rai, Enoch Yeung, Guy-Bart Stan, Sean Warnick, Jorge M. Gonçalves
A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems. IEEE Trans. Control. Netw. Syst. 4 (2) (2017)
Roel Dobbe, Stephan Liu, Ye Yuan, Claire J. Tomlin
Blind Identification of Fully Observed Discrete-Time Linear Time-Varying Systems via Sparse Recovery. CoRR (2017)
Omid Ardakanian, Vincent W. S. Wong, Roel Dobbe, Steven H. Low, Alexandra von Meier, Claire J. Tomlin, Ye Yuan
On Identification of Distribution Grids. CoRR (2017)
Ye Yuan, Ling Shi, Jun Liu, Zhiyong Chen, Hai-Tao Zhang, Jorge M. Gonçalves
Distributed Kalman filtering with minimum-time consensus algorithm. CoRR (2017)
Ye Yuan, Mu Li, Claire J. Tomlin
On the Powerball Method. CoRR (2016)
Ye Yuan, Omid Ardakanian, Steven H. Low, Claire J. Tomlin
On the Inverse Power Flow Problem. CoRR (2016)
Omid Ardakanian, Ye Yuan, Roel Dobbe, Alexandra von Meier, Steven H. Low, Claire J. Tomlin
Event Detection and Localization in Distribution Grids with Phasor Measurement Units. CoRR (2016)
Junyang Jin, Ye Yuan, Wei Pan, Duong L. T. Pham, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves
On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach. CoRR (2016)
Wei Pan, Ye Yuan, Jorge M. Gonçalves, Guy-Bart Stan
A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems. IEEE Trans. Autom. Control. 61 (1) (2016)
Junyang Jin, Wei Pan, Duong L. T. Pham, Ye Yuan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves
On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach. CoRR (2016)
Themistoklis Charalambous, Ye Yuan, Tao Yang, Wei Pan, Christoforos N. Hadjicostis, Mikael Johansson
Distributed Finite-Time Average Consensus in Digraphs in the Presence of Time Delays. IEEE Trans. Control. Netw. Syst. 2 (4) (2015)
Zuogong Yue, Johan Thunberg, Ye Yuan, Jorge M. Gonçalves
Dynamical Structure Function and Granger Causality: Similarities and differences. CDC (2015)
Wei Pan, Ye Yuan, Henrik Sandberg, Jorge M. Gonçalves, Guy-Bart Stan
Online fault diagnosis for nonlinear power systems. Autom. 55 (2015)
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
Identifying Biochemical Reaction Networks From Heterogeneous Datasets. CoRR (2015)
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
Identifying biochemical reaction networks from heterogeneous datasets. CDC (2015)
Ania A. Baetica, Ye Yuan, Jorge M. Gonçalves, Richard M. Murray
A stochastic framework for the design of transient and steady state behavior of biochemical reaction networks. CDC (2015)
Ye Yuan, Keith Glover, Jorge M. Gonçalves
On minimal realisations of dynamical structure functions. Autom. 55 (2015)
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
Network reconstruction from intrinsic noise: Minimum-phase systems. ACC (2014)
Ye Yuan, Jorge M. Gonçalves
On minimal realisations of dynamical structure functions. CoRR (2014)
Qingqing Huang, Ye Yuan, Jorge M. Gonçalves, Munther A. Dahleh
H2 norm based network volatility measures. ACC (2014)
Tao Yang, Ye Yuan, Kezhi Li, Jorge M. Gonçalves, Karl Henrik Johansson
Finite-time road grade computation for a vehicle platoon. CDC (2014)
Ling Shi, Ye Yuan, Jiming Chen
Finite Horizon LQR Control With Limited Controller-System Communication. IEEE Trans. Autom. Control. 58 (7) (2013)
Junfeng Wu, Ye Yuan, Huanshui Zhang, Ling Shi
How Can Online Schedules Improve Communication and Estimation Tradeoff? IEEE Trans. Signal Process. 61 (7) (2013)
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
Network reconstruction using knock-out and over-expression data. ECC (2013)
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
Network Reconstruction from Intrinsic Noise. CoRR (2013)
Ye Yuan, Guy-Bart Stan, Ling Shi, Mauricio Barahona, Jorge M. Goncalves
Decentralised minimum-time consensus. Autom. 49 (5) (2013)
Themistoklis Charalambous, Ye Yuan, Tao Yang, Wei Pan, Christoforos N. Hadjicostis, Michael Johansson
Decentralised minimum-time average consensus in digraphs. CDC (2013)
Wei Pan, Ye Yuan, Henrik Sandberg, Jorge M. Gonçalves, Guy-Bart Stan
Real-time fault diagnosis for large-scale nonlinear power networks. CDC (2013)
Jerry Thia, Ye Yuan, Ling Shi, Jorge M. Gonçalves
Distributed Kalman Filter with minimum-time covariance computation. CDC (2013)
Ling Shi, Ye Yuan, Huanshui Zhang
Sensor data scheduling for linear quadratic Gaussian control with full state feedback. ACC (2012)
Wei Pan, Ye Yuan, Jorge M. Goncalves, Guy-Bart Stan
Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach. CDC (2012)
Enoch Yeung, Jongmin Kim, Ye Yuan, Jorge M. Gonçalves, Richard M. Murray
Quantifying crosstalk in biochemical systems. CDC (2012)
Ye Yuan, Guy-Bart Stan, Sean Warnick, Jorge M. Goncalves
Minimal realization of the dynamical structure function and its application to network reconstruction CoRR (2012)
David P. Hayden, Ye Yuan, Jorge M. Goncalves
Robust network reconstruction in polynomial time. CDC (2012)
Ye Yuan, Jun Liu, Richard M. Murray, Jorge M. Gonçalves
Decentralised minimal-time dynamic consensus. ACC (2012)
J. Adebayo, T. Southwick, Vasu Chetty, Enoch Yeung, Ye Yuan, Jorge M. Goncalves, Julianne H. Grose, J. Prince, Guy-Bart Stan, Sean Warnick
Dynamical structure function identifiability conditions enabling signal structure reconstruction. CDC (2012)
Wei Pan, Ye Yuan, Guy-Bart Stan
Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach CoRR (2012)

Ye Yuan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ye Yuan