Identification of n-State Spatio-Temporal Dynamical Systems Using a Polynomial Model. - Yuzhu Guo; Stephen A. Billings; Daniel Coca (Int. J. Bifurc. Chaos, 2008)

Identification of Excitable Media Using a Scalar Coupled Map Lattice Model. - Yuzhu Guo; Yifan Zhao 001; S. A. Billings; Daniel Coca; R. I. Ristic; L. Dematos (Int. J. Bifurc. Chaos, 2010)

A Simple Scalar Coupled Map Lattice Model for Excitable Media. - Yuzhu Guo; Yifan Zhao 001; Daniel Coca; S. A. Billings (Int. J. Bifurc. Chaos, 2011)

Identification of a temperature Dependent FitzHugh-Nagumo Model for the Belousov-Zhabotinskii reaction. - Yifan Zhao 001; Stephen A. Billings; Daniel Coca; Yuzhu Guo; R. I. Ristic; L. Dematos (Int. J. Bifurc. Chaos, 2011)

Spatio-Temporal Modeling of Wave Formation in an Excitable Chemical Medium Based on a Revised FitzHugh-Nagumo Model. - Yifan Zhao 001; Stephen A. Billings; Yuzhu Guo; Daniel Coca; L. Dematos; R. I. Ristic (Int. J. Bifurc. Chaos, 2011)

Characterizing nonlinear Spatio-Temporal Systems in the Frequency Domain. - Yuzhu Guo; Lingzhong Guo; S. A. Billings; Daniel Coca; Zi Qiang Lang (Int. J. Bifurc. Chaos, 2012)

A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions. - Lingzhong Guo; Yuzhu Guo; S. A. Billings; Daniel Coca; Zi Qiang Lang (Syst. Control. Lett., 2013)

A Spatial Frequency Domain Analysis of the Belousov-Zhabotinsky Reaction. - Lingzhong Guo; Yuzhu Guo; Yifan Zhao 001; Stephen A. Billings; Daniel Coca; Zhi Qiang Lang (Int. J. Bifurc. Chaos, 2014)

A parametric frequency response method for non-linear time-varying systems. - Yuzhu Guo; Lingzhong Guo; S. A. Billings; Daniel Coca; Zi Qiang Lang (Int. J. Syst. Sci., 2014)

Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm. - Yuzhu Guo; Lingzhong Guo; Stephen A. Billings; Hua-Liang Wei (Int. J. Model. Identif. Control., 2015)

An iterative orthogonal forward regression algorithm. - Yuzhu Guo; Lingzhong Guo; Stephen A. Billings; Hua-Liang Wei (Int. J. Syst. Sci., 2015)

Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion. - Lingzhong Guo; Yuzhu Guo; Stephen A. Billings; Daniel Coca (Syst. Control. Lett., 2015)

Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. - Yuzhu Guo; Lingzhong Guo; S. A. Billings; Hua-Liang Wei (Neurocomputing, 2016)

Identification of continuous-time models for nonlinear dynamic systems from discrete data. - Yuzhu Guo; Lingzhong Guo; Stephen A. Billings; Hua-Liang Wei (Int. J. Syst. Sci., 2016)

A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors. - Yuzhu Guo; Fabio Storm; Yifan Zhao 001; Stephen A. Billings; Aleksandar Pavic; Claudia Mazzà; Lingzhong Guo (Sensors, 2017)

Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG. - Yang Li 010; Meng-Ying Lei; Yuzhu Guo; Zhongyi Hu; Hua-Liang Wei (IEEE Access, 2018)

Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis. - Yang Li 010; Meng-Ying Lei; Xianrui Zhang; Wei-Gang Cui; Yuzhu Guo; Tingwen Huang; Hua-Liang Wei (CoRR, 2018)

Cryptanalysis of a chaotic image encryption scheme based on permutation-diffusion structure. - Ming Li 029; Yuzhu Guo; Jie Huang; Yang Li 010 (Signal Process. Image Commun., 2018)

Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG. - Yang Li 010; Wei-Gang Cui; Yuzhu Guo; Tingwen Huang; Xiao-Feng Yang; Hua-Liang Wei (IEEE Trans. Neural Networks Learn. Syst., 2018)

Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems. - Yuzhu Guo; Lipeng Wang; Yang Li 010; Jingjing Luo; Kailiang Wang; S. A. Billings; Lingzhong Guo (Neurocomputing, 2019)

Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach. - Yang Li 010; Wei-Gang Cui; Hui Huang; Yuzhu Guo; Ke Li; Tao Tan (Knowl. Based Syst., 2019)

A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs. - Yang Li 010; Meng-Ying Lei; Wei-Gang Cui; Yuzhu Guo; Hua-Liang Wei (IEEE Trans. Biomed. Eng., 2019)

Machine Learning Aided Diagnosis of Diseases Without Clinical Gold Standard: A New Score for Laryngopharyngeal Reflux Disease Based on pH Monitoring. - Yuzhu Guo; Gang Wang; Lianyong Li; Lei Wang; Lipeng Wang; Simeng Li; Zhezhe Sun; Changmin Qu; Hongdan Liu; Haolun Han; Changqing Zhong; Bingxin Xu; et al. (IEEE Access, 2020)

A New Modal Autoencoder for Functionally Independent Feature Extraction. - Yuzhu Guo; Kang Pan; Simeng Li; Zongchang Han; Kexin Wang; Li Li (CoRR, 2020)

An iPPG-Based Device for Pervasive Monitoring of Multi-Dimensional Cardiovascular Hemodynamics. - Jingjing Luo; Junjie Zhen; Peng Zhou 001; Wei Chen; Yuzhu Guo (Sensors, 2021)

A Noninvasive BCI System for 2D Cursor Control Using a Spectral-Temporal Long Short-Term Memory Network. - Kang Pan; Li Li; Lei Zhang; Simeng Li; Zhuokun Yang; Yuzhu Guo (Frontiers Comput. Neurosci., 2022)

A Multi-Modal Analysis of the Freezing of Gait Phenomenon in Parkinson's Disease. - Luca Mesin; Paola Porcu; Debora Russu; Gabriele Farina; Luigi Borzì; Wei Zhang; Yuzhu Guo; Gabriella Olmo (Sensors, 2022)

Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction. - Yang Li 010; Yu Liu 021; Yuzhu Guo; Xiaofeng Liao 001; Bin Hu 001; Tao Yu (IEEE Trans. Cybern., 2022)

Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion. - Jie Luo; Weigang Cui; Jingyu Liu 002; Yang Li 010; Yuzhu Guo; Song Xu; Lina Wang 003 (IEEE Trans. Cogn. Dev. Syst., 2023)

EEG Signal Processing Techniques and Applications. - Yifan Zhao 001; Fei He 002; Yuzhu Guo (Sensors, 2023)

SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer. - Yulan Ma; Yuzhu Guo; Weigang Cui; Jingyu Liu 002; Yang Li 010; Yingsen Wang; Yan Qiang (Comput. Biol. Medicine, 2024)

Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model. - Debin Huang; Chan Wu; Yiwen Wang; Zheyuan Zhang; Cheng Chen; Li Li; Wei Zhang; Zixuan Zhang; Jinyu Li; Yuzhu Guo; Guiyun Cui (Biomed. Signal Process. Control., 2024)

A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis. - Yulan Ma; Weigang Cui; Jingyu Liu 002; Yuzhu Guo; Huiling Chen 001; Yang Li 010 (IEEE Trans. Medical Imaging, 2024)

A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection. - Weigang Cui; Mingyi Sun; Qunxi Dong; Yuzhu Guo; Xiao-Feng Liao 001; Yang Li 010 (IEEE Trans. Comput. Soc. Syst., 2024)

Subject-adaptive SSVEP decoding based on time-frequency information. - Mingyang Fan; Zhenhua Sang; Jian Wu; Yuzhu Guo (Biomed. Signal Process. Control., 2025)

EEG Detection and Prediction of Freezing of Gait in Parkinson's Disease Based on Spatiotemporal Coherent Modes. - Jun Li; Yuzhu Guo (IEEE J. Biomed. Health Informatics, 2025)