Recursive Identification for Hammerstein System With ARX Subsystem. - Wen-Xiao Zhao; Han-Fu Chen (IEEE Trans. Autom. Control., 2006)

Comments on "Identification of Hammerstein nonlinear ARMAX systems". - Wen-Xiao Zhao; Haitao Fang (Autom., 2007)

Identification of both coefficients and orders for ARMAX system. - Han-Fu Chen; Wen-Xiao Zhao (CDC, 2009)

Adaptive tracking and recursive identification for Hammerstein systems. - Wen-Xiao Zhao; Han-Fu Chen (Autom., 2009)

New Method of Order Estimation for ARMA/ARMAX Processes. - Han-Fu Chen; Wen-Xiao Zhao (SIAM J. Control. Optim., 2010)

Parametric Identification of Hammerstein Systems With Consistency Results Using Stochastic Inputs. - Wen-Xiao Zhao (IEEE Trans. Autom. Control., 2010)

Recursive Identification for Nonlinear ARX Systems Based on Stochastic Approximation Algorithm. - Wen-Xiao Zhao; Han-Fu Chen; Wei Xing Zheng 001 (IEEE Trans. Autom. Control., 2010)

Weighted least squares based recursive parametric identification for the submodels of a PWARX system. - Wen-Xiao Zhao; Tong Zhou (Autom., 2012)

Markov chain approach to identifying Wiener systems. - Wen-Xiao Zhao; Han-Fu Chen (Sci. China Inf. Sci., 2012)

Identification of Wiener, Hammerstein, and NARX systems as Markov Chains with improved estimates for their nonlinearities. - Wen-Xiao Zhao; Han-Fu Chen (Syst. Control. Lett., 2012)

A local information criterion for order identification of nonlinear ARX systems. - Wen-Xiao Zhao; Han-Fu Chen; Er-Wei Bai; Kang Li 002 (ASCC, 2013)

Local variable selection and dimension determination of nonlinear non-parametric systems. - Er-Wei Bai; Kang Li 002; Wen-Xiao Zhao; Weiyu Xu (CDC, 2013)

Convergence of Distributed Randomized PageRank Algorithms. - Wen-Xiao Zhao; Han-Fu Chen; Haitao Fang (IEEE Trans. Autom. Control., 2013)

A Recursive Local Linear Estimator for Identification of Nonlinear ARX Systems: Asymptotical Convergence and Applications. - Wen-Xiao Zhao; Wei Xing Zheng 001; Er-Wei Bai (IEEE Trans. Autom. Control., 2013)

Kernel based approaches to local nonlinear non-parametric variable selection. - Er-Wei Bai; Kang Li 002; Wen-Xiao Zhao; Weiyu Xu (Autom., 2014)

Recursive identification of nonparametric nonlinear systems with binary-valued output observations. - Wen-Xiao Zhao; Han-Fu Chen; Roberto Tempo; Fabrizio Dabbene (CDC, 2015)

Kernel-based local order estimation of nonlinear nonparametric systems. - Wen-Xiao Zhao; Han-Fu Chen; Er-Wei Bai; Kang Li 002 (Autom., 2015)

Strong consistency of kernel-based local variable selection for nonlinear nonparametric systems. - Wen-Xiao Zhao; Han-Fu Chen; Er-Wei Bai; Kang Li 002 (AuCC, 2016)

Variable selection of high-dimensional non-parametric nonlinear systems: A way to avoid the curse of dimensionality. - Er-Wei Bai; Changmin Cheng; Wen-Xiao Zhao; Han-Fu Chen (CDC, 2017)

Recursive Nonparametric Identification of Nonlinear Systems With Adaptive Binary Sensors. - Wen-Xiao Zhao; Han-Fu Chen; Roberto Tempo; Fabrizio Dabbene (IEEE Trans. Autom. Control., 2017)

Subgradient-Free Stochastic Optimization Algorithm for Non-smooth Convex Functions over Time-Varying Networks. - Yinghui Wang; Wenxiao Zhao; Yiguang Hong; Mohsen Zamani (CoRR, 2018)

Local variable selection of nonlinear nonparametric systems by first order expansion. - Wen-Xiao Zhao; Han-Fu Chen; Er-Wei Bai; Kang Li 002 (Syst. Control. Lett., 2018)

Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality. - Er-Wei Bai; Changming Cheng; Wen-Xiao Zhao (Autom., 2019)

Sparse System Identification for Stochastic Feedback Control Systems. - Wen-Xiao Zhao; George Yin 001; Er-Wei Bai (CoRR, 2019)

A Multi-Sensor Based Roadheader Positioning Model and Arbitrary Tunnel Cross Section Automatic Cutting. - Changqing Yan; Wenxiao Zhao; Xinming Lu (Sensors, 2019)

Distributed Subgradient-Free Stochastic Optimization Algorithm for Nonsmooth Convex Functions over Time-Varying Networks. - Yinghui Wang; Wenxiao Zhao; Yiguang Hong; Mohsen Zamani (SIAM J. Control. Optim., 2019)

Sparse system identification for stochastic systems with general observation sequences. - Wen-Xiao Zhao; George Yin 001; Er-Wei Bai (Autom., 2020)

How Data Plays in the Requirements of Face Recognition System: A Concern Driven Systematic Literature Review. - Zhijun Shao; Ji Wu 003; Wenxiao Zhao; Liping Wang; Hanjiao Wu; Qing Sun 004 (APSEC Workshops, 2021)

An Introduction to Development of Centralized and Distributed Stochastic Approximation Algorithm with Expanding Truncations. - Wenxiao Zhao (Algorithms, 2021)

Distributed dynamic stochastic approximation algorithm over time-varying networks. - Kewei Fu; Han-Fu Chen; Wenxiao Zhao (Auton. Intell. Syst., 2021)

A General Framework for Nonparametric Identification of Nonlinear Stochastic Systems. - Wenxiao Zhao; Erik Weyer; George Yin 001 (IEEE Trans. Autom. Control., 2021)

RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses. - Shengyuan Xu; Wenxiao Zhao; Jing Guo (INTERSPEECH, 2022)

Distributed system identification for linear stochastic systems with binary sensors. - Kewei Fu; Han-Fu Chen; Wenxiao Zhao (Autom., 2022)

Randomized difference-based gradient-free algorithm for distributed resource allocation. - Xiaoxue Geng; Wenxiao Zhao (Sci. China Inf. Sci., 2022)

New Approach to Variable Selection for Nonparametric Nonlinear Systems*. - Xiaotao Ren; Wenxiao Zhao; Jinwu Gao (CDC, 2023)

Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS. - Zihao Sun; Yu Sun; Longxing Yang; Shun Lu 001; Jilin Mei; Wenxiao Zhao; Yu Hu 001 (ICCV, 2023)

CRAS-YOLO: A Novel Multi-Category Vessel Detection and Classification Model Based on YOLOv5s Algorithm. - Wenxiao Zhao; Muhammad Syafrudin; Norma Latif Fitriyani (IEEE Access, 2023)

Adaptive Regulation of Block-Oriented Nonlinear Systems Using Binary Sensors With Applications to Automotive Engine Control. - Wenxiao Zhao; Erik Weyer; Gang George Yin; Daoyi Dong; Yahui Zhang; Tielong Shen (IEEE Trans. Autom. Control., 2023)

Support Recovery and Parameter Identification of Multivariate ARMA Systems with Exogenous Inputs. - Yanxin Fu; Wenxiao Zhao (SIAM J. Control. Optim., 2023)

A zeroth-order algorithm for distributed optimization with stochastic stripe observations. - Yinghui Wang; Xianlin Zeng; Wenxiao Zhao; Yiguang Hong (Sci. China Inf. Sci., 2023)

Adaptive Regulation for Hammerstein and Wiener Systems with Event-Triggered Observations. - Xiaotao Ren; Wenxiao Zhao; Jinwu Gao (J. Syst. Sci. Complex., 2023)

Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search. - Longxing Yang; Yanxin Fu; Shun Lu 001; Zihao Sun; Jilin Mei; Wenxiao Zhao; Yu Hu 001 (Neural Networks, 2023)

CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection. - Yongyi Zang; Jiatong Shi; You Zhang 001; Ryuichi Yamamoto; Jionghao Han; Yuxun Tang; Shengyuan Xu; Wenxiao Zhao; Jing Guo; Tomoki Toda; Zhiyao Duan (INTERSPEECH, 2024)

A Class of Convex Optimization-Based Recursive Algorithms for Identification of Stochastic Systems. - Mingxia Ding; Wenxiao Zhao; Tianshi Chen 001 (CoRR, 2024)

Forgetting-Factor Regrets for Online Convex Optimization. - Yuhang Liu; Wenxiao Zhao; George Yin 001 (IEEE Trans. Autom. Control., 2024)

Explore the Reasoning Capability of LLMs in the Chess Testbed. - Shu Wang 002; Lei Ji 001; Renxi Wang; Wenxiao Zhao; Haokun Liu; Yifan Hou; Ying Nian Wu (NAACL (Short Papers), 2025)

Recursive identification of nonlinear nonparametric systems under event-triggered observations. - Xiaotao Ren; Wenxiao Zhao; Han Zhang 056 (Syst. Control. Lett., 2025)

Recursive Algorithms for Sparse Parameter Identification of Multivariate Stochastic Systems with Non-stationary Observations. - Yanxin Fu; Wenxiao Zhao (CoRR, 2025)

Achieving the Social Optimum in a Nonconvex Cooperative Aggregative Game: A Distributed Stochastic Annealing Approach. - Yinghui Wang; Xiaoxue Geng; Guanpu Chen; Wenxiao Zhao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Online Algorithms for Recovery of Low-Rank Parameter Matrix in Non-stationary Stochastic Systems. - Yanxin Fu; Junbao Zhou; Yu Hu 001; Wenxiao Zhao (CoRR, 2025)

Advanced Heterogeneous Network-Based Graph Neural Network Framework for Predicting Anti-CRISPR Protein Sequences. - Yeqiang Wang; Wenxiao Zhao; Yijun He; Jiale Li; Rui Mao 012 (IEEE J. Biomed. Health Informatics, 2025)