Wen-Xiao Zhao

Orcid: 0000-0002-0371-5664

According to our database1, Wen-Xiao Zhao authored at least 42 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search.
Neural Networks, November, 2023

Adaptive Regulation for Hammerstein and Wiener Systems with Event-Triggered Observations.
J. Syst. Sci. Complex., October, 2023

A zeroth-order algorithm for distributed optimization with stochastic stripe observations.
Sci. China Inf. Sci., September, 2023

Support Recovery and Parameter Identification of Multivariate ARMA Systems with Exogenous Inputs.
SIAM J. Control. Optim., June, 2023

Adaptive Regulation of Block-Oriented Nonlinear Systems Using Binary Sensors With Applications to Automotive Engine Control.
IEEE Trans. Autom. Control., March, 2023

CRAS-YOLO: A Novel Multi-Category Vessel Detection and Classification Model Based on YOLOv5s Algorithm.
IEEE Access, 2023

Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

New Approach to Variable Selection for Nonparametric Nonlinear Systems<sup>*</sup>.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Randomized difference-based gradient-free algorithm for distributed resource allocation.
Sci. China Inf. Sci., 2022

Distributed system identification for linear stochastic systems with binary sensors.
Autom., 2022

RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses.
Proceedings of the Interspeech 2022, 2022

2021
A General Framework for Nonparametric Identification of Nonlinear Stochastic Systems.
IEEE Trans. Autom. Control., 2021

Distributed dynamic stochastic approximation algorithm over time-varying networks.
Auton. Intell. Syst., 2021

An Introduction to Development of Centralized and Distributed Stochastic Approximation Algorithm with Expanding Truncations.
Algorithms, 2021

How Data Plays in the Requirements of Face Recognition System: A Concern Driven Systematic Literature Review.
Proceedings of the 28th Asia-Pacific Software Engineering Conference Workshops, 2021

2020
Sparse system identification for stochastic systems with general observation sequences.
Autom., 2020

2019
Distributed Subgradient-Free Stochastic Optimization Algorithm for Nonsmooth Convex Functions over Time-Varying Networks.
SIAM J. Control. Optim., 2019

A Multi-Sensor Based Roadheader Positioning Model and Arbitrary Tunnel Cross Section Automatic Cutting.
Sensors, 2019

Sparse System Identification for Stochastic Feedback Control Systems.
CoRR, 2019

Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality.
Autom., 2019

2018
Local variable selection of nonlinear nonparametric systems by first order expansion.
Syst. Control. Lett., 2018

Subgradient-Free Stochastic Optimization Algorithm for Non-smooth Convex Functions over Time-Varying Networks.
CoRR, 2018

2017
Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors.
IEEE Trans. Autom. Control., 2017

Variable selection of high-dimensional non-parametric nonlinear systems: A way to avoid the curse of dimensionality.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Strong consistency of kernel-based local variable selection for nonlinear nonparametric systems.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

2015
Kernel-based local order estimation of nonlinear nonparametric systems.
Autom., 2015

Recursive identification of nonparametric nonlinear systems with binary-valued output observations.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Kernel based approaches to local nonlinear non-parametric variable selection.
Autom., 2014

2013
A Recursive Local Linear Estimator for Identification of Nonlinear ARX Systems: Asymptotical Convergence and Applications.
IEEE Trans. Autom. Control., 2013

Convergence of Distributed Randomized PageRank Algorithms.
IEEE Trans. Autom. Control., 2013

Local variable selection and dimension determination of nonlinear non-parametric systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A local information criterion for order identification of nonlinear ARX systems.
Proceedings of the 9th Asian Control Conference, 2013

2012
Identification of Wiener, Hammerstein, and NARX systems as Markov Chains with improved estimates for their nonlinearities.
Syst. Control. Lett., 2012

Markov chain approach to identifying Wiener systems.
Sci. China Inf. Sci., 2012

Weighted least squares based recursive parametric identification for the submodels of a PWARX system.
Autom., 2012

2010
Recursive Identification for Nonlinear ARX Systems Based on Stochastic Approximation Algorithm.
IEEE Trans. Autom. Control., 2010

Parametric Identification of Hammerstein Systems With Consistency Results Using Stochastic Inputs.
IEEE Trans. Autom. Control., 2010

New Method of Order Estimation for ARMA/ARMAX Processes.
SIAM J. Control. Optim., 2010

2009
Adaptive tracking and recursive identification for Hammerstein systems.
Autom., 2009

Identification of both coefficients and orders for ARMAX system.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2007
Comments on "Identification of Hammerstein nonlinear ARMAX systems".
Autom., 2007

2006
Recursive Identification for Hammerstein System With ARX Subsystem.
IEEE Trans. Autom. Control., 2006


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