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Yuzhu Guo
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2020 – today
- 2024
- [j32]Debin Huang, Chan Wu, Yiwen Wang, Zheyuan Zhang, Cheng Chen, Li Li, Wei Zhang, Zixuan Zhang, Jinyu Li, Yuzhu Guo, Guiyun Cui:
Episode-level prediction of freezing of gait based on wearable inertial signals using a deep neural network model. Biomed. Signal Process. Control. 88(Part B): 105613 (2024) - [j31]Yulan Ma, Yuzhu Guo, Weigang Cui, Jingyu Liu, Yang Li, Yingsen Wang, Yan Qiang:
SG-Transunet: A segmentation-guided Transformer U-Net model for KRAS gene mutation status identification in colorectal cancer. Comput. Biol. Medicine 173: 108293 (2024) - [j30]Weigang Cui, Mingyi Sun, Qunxi Dong, Yuzhu Guo, Xiao-Feng Liao, Yang Li:
A Multiview Sparse Dynamic Graph Convolution-Based Region-Attention Feature Fusion Network for Major Depressive Disorder Detection. IEEE Trans. Comput. Soc. Syst. 11(2): 2691-2702 (2024) - [j29]Yulan Ma, Weigang Cui, Jingyu Liu, Yuzhu Guo, Huiling Chen, Yang Li:
A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis. IEEE Trans. Medical Imaging 43(3): 1045-1059 (2024) - 2023
- [j28]Yifan Zhao, Fei He, Yuzhu Guo:
EEG Signal Processing Techniques and Applications. Sensors 23(22): 9056 (2023) - [j27]Jie Luo, Weigang Cui, Jingyu Liu, Yang Li, Yuzhu Guo, Song Xu, Lina Wang:
Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion. IEEE Trans. Cogn. Dev. Syst. 15(2): 761-773 (2023) - 2022
- [j26]Kang Pan, Li Li, Lei Zhang, Simeng Li, Zhuokun Yang, Yuzhu Guo:
A Noninvasive BCI System for 2D Cursor Control Using a Spectral-Temporal Long Short-Term Memory Network. Frontiers Comput. Neurosci. 16: 799019 (2022) - [j25]Luca Mesin, Paola Porcu, Debora Russu, Gabriele Farina, Luigi Borzì, Wei Zhang, Yuzhu Guo, Gabriella Olmo:
A Multi-Modal Analysis of the Freezing of Gait Phenomenon in Parkinson's Disease. Sensors 22(7): 2613 (2022) - [j24]Yang Li, Yu Liu, Yuzhu Guo, Xiaofeng Liao, Bin Hu, Tao Yu:
Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction. IEEE Trans. Cybern. 52(11): 12189-12204 (2022) - 2021
- [j23]Jingjing Luo, Junjie Zhen, Peng Zhou, Wei Chen, Yuzhu Guo:
An iPPG-Based Device for Pervasive Monitoring of Multi-Dimensional Cardiovascular Hemodynamics. Sensors 21(3): 872 (2021) - 2020
- [j22]Yuzhu Guo, Gang Wang, Lianyong Li, Lei Wang, Lipeng Wang, Simeng Li, Zhezhe Sun, Changmin Qu, Hongdan Liu, Haolun Han, Changqing Zhong, Bingxin Xu, Baowei Li, Xinwei Bao, Ying Zhou, Xiaoli Zhang, Wei Wu:
Machine Learning Aided Diagnosis of Diseases Without Clinical Gold Standard: A New Score for Laryngopharyngeal Reflux Disease Based on pH Monitoring. IEEE Access 8: 67005-67014 (2020) - [i2]Yuzhu Guo, Kang Pan, Simeng Li, Zongchang Han, Kexin Wang, Li Li:
A New Modal Autoencoder for Functionally Independent Feature Extraction. CoRR abs/2006.14390 (2020)
2010 – 2019
- 2019
- [j21]Yuzhu Guo, Lipeng Wang, Yang Li, Jingjing Luo, Kailiang Wang, S. A. Billings, Lingzhong Guo:
Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems. Neurocomputing 357: 188-202 (2019) - [j20]Yang Li, Wei-Gang Cui, Hui Huang, Yuzhu Guo, Ke Li, Tao Tan:
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach. Knowl. Based Syst. 164: 96-106 (2019) - [j19]Yang Li, Meng-Ying Lei, Wei-Gang Cui, Yuzhu Guo, Hua-Liang Wei:
A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs. IEEE Trans. Biomed. Eng. 66(12): 3509-3525 (2019) - 2018
- [j18]Yang Li, Meng-Ying Lei, Yuzhu Guo, Zhongyi Hu, Hua-Liang Wei:
Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG. IEEE Access 6: 17826-17840 (2018) - [j17]Ming Li, Yuzhu Guo, Jie Huang, Yang Li:
Cryptanalysis of a chaotic image encryption scheme based on permutation-diffusion structure. Signal Process. Image Commun. 62: 164-172 (2018) - [j16]Yang Li, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Xiao-Feng Yang, Hua-Liang Wei:
Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2960-2972 (2018) - [i1]Yang Li, Meng-Ying Lei, Xianrui Zhang, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Hua-Liang Wei:
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis. CoRR abs/1810.10353 (2018) - 2017
- [j15]Yuzhu Guo, Fabio Storm, Yifan Zhao, Stephen A. Billings, Aleksandar Pavic, Claudia Mazzà, Lingzhong Guo:
A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors. Sensors 17(10): 2181 (2017) - 2016
- [j14]Yuzhu Guo, Lingzhong Guo, S. A. Billings, Hua-Liang Wei:
Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. Neurocomputing 173: 715-723 (2016) - [j13]Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei:
Identification of continuous-time models for nonlinear dynamic systems from discrete data. Int. J. Syst. Sci. 47(12): 3044-3054 (2016) - 2015
- [j12]Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei:
Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm. Int. J. Model. Identif. Control. 23(1): 1-7 (2015) - [j11]Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei:
An iterative orthogonal forward regression algorithm. Int. J. Syst. Sci. 46(5): 776-789 (2015) - [j10]Lingzhong Guo, Yuzhu Guo, Stephen A. Billings, Daniel Coca:
Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion. Syst. Control. Lett. 75: 20-26 (2015) - 2014
- [j9]Lingzhong Guo, Yuzhu Guo, Yifan Zhao, Stephen A. Billings, Daniel Coca, Zhi Qiang Lang:
A Spatial Frequency Domain Analysis of the Belousov-Zhabotinsky Reaction. Int. J. Bifurc. Chaos 24(3) (2014) - [j8]Yuzhu Guo, Lingzhong Guo, S. A. Billings, Daniel Coca, Zi Qiang Lang:
A parametric frequency response method for non-linear time-varying systems. Int. J. Syst. Sci. 45(10): 2133-2144 (2014) - 2013
- [j7]Lingzhong Guo, Yuzhu Guo, S. A. Billings, Daniel Coca, Zi Qiang Lang:
A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions. Syst. Control. Lett. 62(2): 115-123 (2013) - 2012
- [j6]Yuzhu Guo, Lingzhong Guo, S. A. Billings, Daniel Coca, Zi Qiang Lang:
Characterizing nonlinear Spatio-Temporal Systems in the Frequency Domain. Int. J. Bifurc. Chaos 22(2) (2012) - 2011
- [j5]Yifan Zhao, Stephen A. Billings, Yuzhu Guo, Daniel Coca, L. Dematos, R. I. Ristic:
Spatio-Temporal Modeling of Wave Formation in an Excitable Chemical Medium Based on a Revised FitzHugh-Nagumo Model. Int. J. Bifurc. Chaos 21(2): 505-512 (2011) - [j4]Yifan Zhao, Stephen A. Billings, Daniel Coca, Yuzhu Guo, R. I. Ristic, L. Dematos:
Identification of a temperature Dependent FitzHugh-Nagumo Model for the Belousov-Zhabotinskii reaction. Int. J. Bifurc. Chaos 21(11): 3249-3258 (2011) - [j3]Yuzhu Guo, Yifan Zhao, Daniel Coca, S. A. Billings:
A Simple Scalar Coupled Map Lattice Model for Excitable Media. Int. J. Bifurc. Chaos 21(11): 3277-3292 (2011) - 2010
- [j2]Yuzhu Guo, Yifan Zhao, S. A. Billings, Daniel Coca, R. I. Ristic, L. Dematos:
Identification of Excitable Media Using a Scalar Coupled Map Lattice Model. Int. J. Bifurc. Chaos 20(7): 2137-2150 (2010)
2000 – 2009
- 2008
- [j1]Yuzhu Guo, Stephen A. Billings, Daniel Coca:
Identification of n-State Spatio-Temporal Dynamical Systems Using a Polynomial Model. Int. J. Bifurc. Chaos 18(7): 2049-2057 (2008)
Coauthor Index
aka: S. A. Billings
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