Human gait recognition via deterministic learning. - Wei Zeng 003; Cong Wang 007 (Neural Networks, 2012)

Silhouette-Based Gait Recognition via Deterministic Learning. - Wei Zeng 003; Cong Wang 007 (BICS, 2013)

Model-Based Human Gait Recognition Via Deterministic Learning. - Wei Zeng 003; Cong Wang 007; Yuanqing Li 001 (Cogn. Comput., 2014)

Learning from NN output feedback control of robot manipulators. - Wei Zeng 003; Cong Wang 007 (Neurocomputing, 2014)

Silhouette-based gait recognition via deterministic learning. - Wei Zeng 003; Cong Wang 007; Feifei Yang (Pattern Recognit., 2014)

Temporal consistency object tracker with ranking mechanism. - Yueen Hou; Ping Ye; Wei Zeng 003 (ROBIO, 2015)

Gait recognition across different walking speeds via deterministic learning. - Wei Zeng 003; Cong Wang 007 (Neurocomputing, 2015)

Learning from adaptive neural network control of an underactuated rigid spacecraft. - Wei Zeng 003; Qinghui Wang (Neurocomputing, 2015)

Classification of neurodegenerative diseases using gait dynamics via deterministic learning. - Wei Zeng 003; Cong Wang 007 (Inf. Sci., 2015)

View-invariant gait recognition via deterministic learning. - Wei Zeng 003; Cong Wang 007 (Neurocomputing, 2016)

Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning. - Muqing Deng; Cong Wang 007; Fengjiang Cheng; Wei Zeng 003 (Pattern Recognit., 2017)

H∞ Output Containment Control of Heterogeneous Continuous-Time Multi-Agent Systems. - Chengzhi Yuan; Shahab Ilbeigi; Wei Zeng 003; Tianrui Chen (ACC, 2018)

Composite Consensus Control and Cooperative Adaptive Learning. - Chengzhi Yuan; Nan Xue 002; Wei Zeng 003; Cong Wang 007 (CDC, 2018)

Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators. - Marwan F. Abdelatti; Chengzhi Yuan; Wei Zeng 003; Cong Wang 007 (Sci. China Inf. Sci., 2018)

H∞ output containment control of heterogeneous multi-agent systems via distributed dynamic output feedback. - Chengzhi Yuan; Shahab Ilbeigi; Wei Zeng 003 (J. Frankl. Inst., 2018)

Hand gesture recognition using Leap Motion via deterministic learning. - Wei Zeng 003; Cong Wang 007; Qinghui Wang (Multim. Tools Appl., 2018)

Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks. - Fenglin Liu; Wei Zeng 003; Chengzhi Yuan; Qinghui Wang; Ying Wang 058 (Artif. Intell. Rev., 2019)

Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks. - Wei Zeng 003; Mengqing Li; Chengzhi Yuan; Qinghui Wang; Fenglin Liu; Ying Wang 058 (Artif. Intell. Rev., 2019)

Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning. - Wei Zeng 003; Limin Ma; Chengzhi Yuan; Fenglin Liu; Qinghui Wang; Ying Wang 058; Yu Zhang (Artif. Intell. Rev., 2019)

Small fault detection from discrete-time closed-loop control using fault dynamics residuals. - Jingting Zhang; Chengzhi Yuan; Paolo Stegagno; Wei Zeng 003; Cong Wang 007 (Neurocomputing, 2019)

Composite cooperative synchronization and decentralized learning of multi-robot manipulators with heterogeneous nonlinear uncertain dynamics. - Xiaonan Dong; Chengzhi Yuan; Paolo Stegagno; Wei Zeng 003; Cong Wang 007 (J. Frankl. Inst., 2019)

Output containment control of heterogeneous multi-agent systems with leaders of bounded inputs: An adaptive finite-time observer approach. - Chengzhi Yuan; Wei Zeng 003 (J. Frankl. Inst., 2019)

Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks. - Wei Zeng 003; Chengzhi Yuan; Qinghui Wang; Fenglin Liu; Ying Wang 058 (Neural Networks, 2019)

Classification of Gait Patterns Using Kinematic and Kinetic Features, Gait Dynamics and Neural Networks in Patients with Unilateral Anterior Cruciate Ligament Deficiency. - Wei Zeng 003; Shiek Abdullah Ismail; Yoong Ping Lim; Richard Smith; Evangelos Pappas (Neural Process. Lett., 2019)

Switching Model Predictive Control of Switched Linear Systems with Average Dwell Time. - Chengzhi Yuan; Yan Gu; Wei Zeng 003; Paolo Stegagno (ACC, 2020)

Similar Fault Isolation of Discrete-Time Nonlinear Uncertain Systems: An Adaptive Threshold Based Approach. - Jingting Zhang; Qingbin Gao; Chengzhi Yuan; Wei Zeng 003; Shi-Lu Dai; Cong Wang 007 (IEEE Access, 2020)

Detecting the presence of anterior cruciate ligament injury based on gait dynamics disparity and neural networks. - Wei Zeng 003; Shiek Abdullah Ismail; Evangelos Pappas (Artif. Intell. Rev., 2020)

Detecting the presence of anterior cruciate ligament deficiency based on a double pendulum model, intrinsic time-scale decomposition (ITD) and neural networks. - Wei Zeng 003; Shiek Abdullah Ismail; Evangelos Pappas (Artif. Intell. Rev., 2020)

Identification of epileptic seizures in EEG signals using time-scale decomposition (ITD), discrete wavelet transform (DWT), phase space reconstruction (PSR) and neural networks. - Wei Zeng 003; Mengqing Li; Chengzhi Yuan; Qinghui Wang; Fenglin Liu; Ying Wang 058 (Artif. Intell. Rev., 2020)

Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks. - Wei Zeng 003; Jian Yuan; Chengzhi Yuan; Qinghui Wang; Fenglin Liu; Ying Wang 058 (Artif. Intell. Medicine, 2020)

Cooperative Adaptive Learning Control for A Group of Nonholonomic UGVs by Output Feedback. - Xiaonan Dong; Paolo Stegagno; Chengzhi Yuan; Wei Zeng 003 (CoRR, 2020)

Composite adaptive NN learning and control for discrete-time nonlinear uncertain systems in normal form. - Jingting Zhang; Chengzhi Yuan; Cong Wang 007; Paolo Stegagno; Wei Zeng 003 (Neurocomputing, 2020)

Classification of gait patterns in patients with unilateral anterior cruciate ligament deficiency based on phase space reconstruction, Euclidean distance and neural networks. - Wei Zeng 003; Shiek Abdullah Ismail; Evangelos Pappas (Soft Comput., 2020)

Adaptive NN-Based Reference-Tracking Control of Uncertain Nonlinear Parabolic PDE Systems. - Jingting Zhang; Yan Gu; Paolo Stegagno; Wei Zeng 003; Chengzhi Yuan (CDC, 2021)

Horizontal Nonlinear Path Following Guidance Law for a Small UAV With Parameter Optimized by NMPC. - Yang Chen 045; Chaolei Wang; Wei Zeng 003; Yongliang Wu (IEEE Access, 2021)

Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning. - Wei Zeng 003; Zixiang Lin; Chengzhi Yuan; Qinghui Wang; Fenglin Liu; Ying Wang 058 (Artif. Intell. Rev., 2021)

A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks. - Wei Zeng 003; Jian Yuan; Chengzhi Yuan; Qinghui Wang; Fenglin Liu; Ying Wang 058 (Artif. Intell. Rev., 2021)

Fault Detection of a Class of Nonlinear Uncertain Parabolic PDE Systems. - Jingting Zhang; Chengzhi Yuan; Wei Zeng 003; Paolo Stegagno; Cong Wang 007 (IEEE Control. Syst. Lett., 2021)

The impact of feature extraction and selection for the classification of gait patterns between ACL deficient and intact knees based on different classification models. - Wei Zeng 003; Shiek Abdullah Ismail; Evangelos Pappas (EURASIP J. Adv. Signal Process., 2021)

Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments. - Jingting Zhang; Chengzhi Yuan; Cong Wang 007; Wei Zeng 003; Shi-Lu Dai (Neurocomputing, 2021)

ECG arrhythmia classification based on variational mode decomposition, Shannon energy envelope and deterministic learning. - Wei Zeng 003; Chengzhi Yuan (Int. J. Mach. Learn. Cybern., 2021)

A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks. - Wei Zeng 003; Jian Yuan; Chengzhi Yuan; Qinghui Wang; Fenglin Liu; Ying Wang 058 (Soft Comput., 2021)

Localized Motion Dynamics Modeling of A Soft Robot: A Data-Driven Adaptive Learning Approach. - Xiaotian Chen; Paolo Stegagno; Wei Zeng 003; Chengzhi Yuan (ACC, 2022)

Adaptive NN-Based Boundary Control for Output Tracking of A Wave Equation with Matched and Unmatched Boundary Uncertainties. - Jingting Zhang; Paolo Stegagno; Wei Zeng 003; Chengzhi Yuan (ACC, 2022)

Curved Path Following Controller for 4W Skid-Steering Mobile Robots Using Backstepping. - Yang Chen 045; Nan Li; Wei Zeng 003; Shiqian Zhang; Guifang Ma (IEEE Access, 2022)

Fault Detection and Isolation of Uncertain Nonlinear Parabolic PDE Systems. - Jingting Zhang; Chengzhi Yuan; Wei Zeng 003; Cong Wang 007 (CoRR, 2022)

Hybrid control of switched LFT uncertain systems with time-varying input delays. - Chengzhi Yuan; Yan Gu; Wei Zeng 003 (Int. J. Control, 2022)

Boundary Tracking Control for An Unstable Wave Equation with Boundary Uncertainties: A Backstepping Adaptive NN Approach. - Jingting Zhang; Yan Gu; Wei Zeng 003; Chengzhi Yuan (AIM, 2023)

Dynamics Learning-Based Fault Isolation for A Soft Trunk Robot. - Jingting Zhang; Xiaotian Chen; Emadodin Jandaghi; Wei Zeng 003; Mingxi Zhou; Chengzhi Yuan (ACC, 2023)

Automatic detection of heart valve disorders using Teager-Kaiser energy operator, rational-dilation wavelet transform and convolutional neural networks with PCG signals. - Wei Zeng 003; Bo Su; Chengzhi Yuan; Yang Chen 045 (Artif. Intell. Rev., 2023)

Recognizing knee pathologies by using gait dynamics via kernel principal component analysis and deterministic learning theory. - Muqing Deng; Xiaoreng Feng; Wei Zeng 003; Jiuwen Cao; Yu Zhang; Tongjia Zheng (J. Ambient Intell. Humaniz. Comput., 2023)

Kinematics Model Estimation of 4W Skid-Steering Mobile Robots Using Visual Terrain Classification. - Yang Chen 045; Yao Wu; Wei Zeng 003; Shaoyi Du (J. Robotics, 2023)

Vector Field-Based Guidance for Planar Smooth Path Following of a Small Unmanned Helicopter. - Yang Chen 045; Wei Zeng 003; Yongliang Wu (J. Robotics, 2023)

Arrhythmia detection using TQWT, CEEMD and deep CNN-LSTM neural networks with ECG signals. - Wei Zeng 003; Bo Su; Yang Chen 045; Chengzhi Yuan (Multim. Tools Appl., 2023)

A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks. - Wei Zeng 003; Jian Yuan; Chengzhi Yuan; Qinghui Wang; Fenglin Liu; Ying Wang 058 (Artif. Intell. Rev., 2023)

Epileptic EEG Identification Based on Dual Q-Factor Signal Decomposition (DQSD), Fast and Adaptive Multivariate Empirical Mode Decomposition (FA-MVEMD) and Neural Networks. - Wei Zeng 003; Chengzhi Yuan (Circuits Syst. Signal Process., 2023)

Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers. - Yang Chen 045; Bo Su; Wei Zeng 003; Chengzhi Yuan; Bing Ji (Multim. Tools Appl., 2023)

Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning. - Bing Ji; Qihang Dai; Xinyu Ji; Weiming Wu; Qinghua Sun; Hecheng Ma; Menglin Cong; Lei Cheng; Cong Wang 007; Meng Si; Wei Zeng 003 (Artif. Intell. Rev., 2023)

Exploring gait analysis and deep feature contributions to the screening of cervical spondylotic myelopathy. - Bing Ji; Qihang Dai; Xinyu Ji; Meng Si; Hecheng Ma; Menglin Cong; Lei Cheng; Liying Guan; Bo Su; Yuyan Zhang; Wei Zeng 003 (Appl. Intell., 2023)

Detach and unite: A simple meta-transfer for few-shot learning. - Yaoyue Zheng; Xuetao Zhang 001; Zhiqiang Tian; Wei Zeng 003; Shaoyi Du (Knowl. Based Syst., 2023)

Enhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation. - Qinghui Wang; Fenglin Liu; Ruirui Zou; Ying Wang 058; Chenyang Zheng; Zhiqiang Tian; Shaoyi Du; Wei Zeng 003 (EURASIP J. Adv. Signal Process., 2023)

Advancing cardiac diagnostics: Exceptional accuracy in abnormal ECG signal classification with cascading deep learning and explainability analysis. - Wei Zeng 003; Liangmin Shan; Chengzhi Yuan; Shaoyi Du (Appl. Soft Comput., 2024)

Analysis and classification of gait patterns in osteoarthritic and asymptomatic knees using phase space reconstruction, intrinsic time-scale decomposition and neural networks. - Wei Zeng 003; Limin Ma; Yu Zhang (Multim. Tools Appl., 2024)

Detection of knee osteoarthritis based on recurrence quantification analysis, fuzzy entropy and shallow classifiers. - Wei Zeng 003; Limin Ma; Yu Zhang (Multim. Tools Appl., 2024)

Robust colored point cloud alignment based on L*a*b* guided and Cauchy kernel. - Teng Wan; Shaoyi Du; Qiang Zhang 049; Ying Qi; Chunyao Huang; Wei Zeng 003 (Comput. Intell., 2024)

Adaptive Distraction Recognition via Soft Prototype Learning and Probabilistic Label Alignment. - Yuying Liu; Shaoyi Du; Hongcheng Han; Xudong Chen; Wei Zeng 003; Zhiqiang Tian (IEEE Trans. Intell. Transp. Syst., 2024)

ASCL: Accelerating semi-supervised learning via contrastive learning. - Haixiong Liu; Zuoyong Li; Jiawei Wu 001; Kun Zeng; Rong Hu; Wei Zeng 003 (Concurr. Comput. Pract. Exp., 2024)

Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences. - Jianmin Xu; Fenglin Liu; Qinghui Wang; Ruirui Zou; Ying Wang 058; Junling Zheng; Shaoyi Du; Wei Zeng 003 (EURASIP J. Adv. Signal Process., 2024)

Exploring conditional pixel-independent generation in GAN inversion for image processing. - Chunyao Huang; Xiaomei Sun; Zhiqiang Tian; Shaoyi Du; Wei Zeng 003 (Multim. Tools Appl., 2024)

Artificial intelligence for accurate classification of respiratory abnormality levels using image-based features and interpretable insights. - Wei Zeng 003; Liangmin Shan; Qinghui Wang; Fenglin Liu; Ying Wang 058; Chengzhi Yuan; Shaoyi Du (Appl. Soft Comput., 2025)

Interpretable classification of epileptic EEG signals using ALIF decomposition and attention-augmented cascaded deep neural networks. - Wei Zeng 003; Minglin Zhang; Liangmin Shan; Yang Chen 045; Zuoyong Li; Shaoyi Du (Appl. Soft Comput., 2025)

Automatic detection of obstructive sleep apnea through nonlinear dynamics of single-lead ECG signals. - Liangjie Chen; Fenglin Liu; Ying Wang 058; Qinghui Wang; Chengzhi Yuan; Wei Zeng 003 (Appl. Intell., 2025)