Wei Zeng - RankMe

80 papers B 1C 6Journal 68Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-domain bearing fault diagnosis using multi-loss deep adaptation with pseudo-label refinement and maximum mean discrepancy-based alignment. Appl. Soft Comput. Wei Zeng, Jumin Wu, Yang Chen, Jinkai Lan, Junwen Lu, Xiaogang Li, Tianwen Guo, Peikai Zhang, Shaoyi Du
2026	J	`jnl`	Exploring dynamic interpretable brain networks via hierarchical graph transformer. Pattern Recognit. Hao Hu, Rundong Xue, Shaoyi Du, Xiangmin Han, Jingxi Feng, Zeyu Zhang, Wei Zeng, Yue Gao, Juan Wang
2026	J	`jnl`	Interpretable deep learning framework for multi-label ECG classification: Enhancing cardiac diagnostics through feature attention and explainability. Biomed. Signal Process. Control. Wei Zeng, Liangmin Shan, Yang Chen, Yonggang Ma, Shaoyi Du
2026	J	`jnl`	Multi-Scale Temporal Analysis With a Dual-Branch Attention Network for Interpretable Gait-Based Classification of Neurodegenerative Diseases. IEEE J. Biomed. Health Informatics Wei Zeng, Zhangbo Peng, Yang Chen, Shaoyi Du
2025	J	`jnl`	Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks. Complex Intell. Syst. Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng
2025	J	`jnl`	Artificial intelligence for accurate classification of respiratory abnormality levels using image-based features and interpretable insights. Appl. Soft Comput. Wei Zeng, Liangmin Shan, Qinghui Wang, Fenglin Liu, Ying Wang, Chengzhi Yuan, Shaoyi Du
2025	J	`jnl`	Automatic detection of obstructive sleep apnea through nonlinear dynamics of single-lead ECG signals. Appl. Intell. Liangjie Chen, Fenglin Liu, Ying Wang, Qinghui Wang, Chengzhi Yuan, Wei Zeng
2025	J	`jnl`	Interpretable classification of epileptic EEG signals using ALIF decomposition and attention-augmented cascaded deep neural networks. Appl. Soft Comput. Wei Zeng, Minglin Zhang, Liangmin Shan, Yang Chen, Zuoyong Li, Shaoyi Du
2024	J	`jnl`	ASCL: Accelerating semi-supervised learning via contrastive learning. Concurr. Comput. Pract. Exp. Haixiong Liu, Zuoyong Li, Jiawei Wu, Kun Zeng, Rong Hu, Wei Zeng
2024	J	`jnl`	Adaptive Distraction Recognition via Soft Prototype Learning and Probabilistic Label Alignment. IEEE Trans. Intell. Transp. Syst. Yuying Liu, Shaoyi Du, Hongcheng Han, Xudong Chen, Wei Zeng, Zhiqiang Tian
2024	J	`jnl`	Advancing cardiac diagnostics: Exceptional accuracy in abnormal ECG signal classification with cascading deep learning and explainability analysis. Appl. Soft Comput. Wei Zeng, Liangmin Shan, Chengzhi Yuan, Shaoyi Du
2024	J	`jnl`	Analysis and classification of gait patterns in osteoarthritic and asymptomatic knees using phase space reconstruction, intrinsic time-scale decomposition and neural networks. Multim. Tools Appl. Wei Zeng, Limin Ma, Yu Zhang
2024	J	`jnl`	Detection of knee osteoarthritis based on recurrence quantification analysis, fuzzy entropy and shallow classifiers. Multim. Tools Appl. Wei Zeng, Limin Ma, Yu Zhang
2024	J	`jnl`	Detection of myocardial infarction using Shannon energy envelope, FA-MVEMD and deterministic learning. Complex Intell. Syst. Wei Zeng, Liangmin Shan, Chengzhi Yuan, Shaoyi Du
2024	J	`jnl`	Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences. EURASIP J. Adv. Signal Process. Jianmin Xu, Fenglin Liu, Qinghui Wang, Ruirui Zou, Ying Wang, Junling Zheng, Shaoyi Du, Wei Zeng
2024	J	`jnl`	Exploring conditional pixel-independent generation in GAN inversion for image processing. Multim. Tools Appl. Chunyao Huang, Xiaomei Sun, Zhiqiang Tian, Shaoyi Du, Wei Zeng
2024	J	`jnl`	Robust colored point cloud alignment based on Lab* guided and Cauchy kernel. Comput. Intell. Teng Wan, Shaoyi Du, Qiang Zhang, Ying Qi, Chunyao Huang, Wei Zeng
2023	J	`jnl`	A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks. Artif. Intell. Rev. Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2023	J	`jnl`	Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers. Multim. Tools Appl. Yang Chen, Bo Su, Wei Zeng, Chengzhi Yuan, Bing Ji
2023	J	`jnl`	Arrhythmia detection using TQWT, CEEMD and deep CNN-LSTM neural networks with ECG signals. Multim. Tools Appl. Wei Zeng, Bo Su, Yang Chen, Chengzhi Yuan
2023	J	`jnl`	Automatic detection of heart valve disorders using Teager-Kaiser energy operator, rational-dilation wavelet transform and convolutional neural networks with PCG signals. Artif. Intell. Rev. Wei Zeng, Bo Su, Chengzhi Yuan, Yang Chen
2023	—	`conf`	Boundary Tracking Control for An Unstable Wave Equation with Boundary Uncertainties: A Backstepping Adaptive NN Approach. AIM Jingting Zhang, Yan Gu, Wei Zeng, Chengzhi Yuan
2023	J	`jnl`	Detach and unite: A simple meta-transfer for few-shot learning. Knowl. Based Syst. Yaoyue Zheng, Xuetao Zhang, Zhiqiang Tian, Wei Zeng, Shaoyi Du
2023	J	`jnl`	Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning. Artif. Intell. Rev. Bing Ji, Qihang Dai, Xinyu Ji, Weiming Wu, Qinghua Sun, Hecheng Ma, Menglin Cong, Lei Cheng, Cong Wang, Meng Si, Wei Zeng
2023	C	`conf`	Dynamics Learning-Based Fault Isolation for A Soft Trunk Robot. ACC Jingting Zhang, Xiaotian Chen, Emadodin Jandaghi, Wei Zeng, Mingxi Zhou, Chengzhi Yuan
2023	J	`jnl`	Enhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation. EURASIP J. Adv. Signal Process. Qinghui Wang, Fenglin Liu, Ruirui Zou, Ying Wang, Chenyang Zheng, Zhiqiang Tian, Shaoyi Du, Wei Zeng
2023	J	`jnl`	Epileptic EEG Identification Based on Dual Q-Factor Signal Decomposition (DQSD), Fast and Adaptive Multivariate Empirical Mode Decomposition (FA-MVEMD) and Neural Networks. Circuits Syst. Signal Process. Wei Zeng, Chengzhi Yuan
2023	J	`jnl`	Exploring gait analysis and deep feature contributions to the screening of cervical spondylotic myelopathy. Appl. Intell. Bing Ji, Qihang Dai, Xinyu Ji, Meng Si, Hecheng Ma, Menglin Cong, Lei Cheng, Liying Guan, Bo Su, Yuyan Zhang, Wei Zeng
2023	J	`jnl`	Kinematics Model Estimation of 4W Skid-Steering Mobile Robots Using Visual Terrain Classification. J. Robotics Yang Chen, Yao Wu, Wei Zeng, Shaoyi Du
2023	J	`jnl`	Recognizing knee pathologies by using gait dynamics via kernel principal component analysis and deterministic learning theory. J. Ambient Intell. Humaniz. Comput. Muqing Deng, Xiaoreng Feng, Wei Zeng, Jiuwen Cao, Yu Zhang, Tongjia Zheng
2023	J	`jnl`	Vector Field-Based Guidance for Planar Smooth Path Following of a Small Unmanned Helicopter. J. Robotics Yang Chen, Wei Zeng, Yongliang Wu
2022	C	`conf`	Adaptive NN-Based Boundary Control for Output Tracking of A Wave Equation with Matched and Unmatched Boundary Uncertainties. ACC Jingting Zhang, Paolo Stegagno, Wei Zeng, Chengzhi Yuan
2022	J	`jnl`	Curved Path Following Controller for 4W Skid-Steering Mobile Robots Using Backstepping. IEEE Access Yang Chen, Nan Li, Wei Zeng, Shiqian Zhang, Guifang Ma
2022	J	`jnl`	Fault Detection and Isolation of Uncertain Nonlinear Parabolic PDE Systems. CoRR Jingting Zhang, Chengzhi Yuan, Wei Zeng, Cong Wang
2022	J	`jnl`	Hybrid control of switched LFT uncertain systems with time-varying input delays. Int. J. Control Chengzhi Yuan, Yan Gu, Wei Zeng
2022	C	`conf`	Localized Motion Dynamics Modeling of A Soft Robot: A Data-Driven Adaptive Learning Approach. ACC Xiaotian Chen, Paolo Stegagno, Wei Zeng, Chengzhi Yuan
2021	J	`jnl`	A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks. Artif. Intell. Rev. Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2021	J	`jnl`	A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks. Soft Comput. Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2021	—	`conf`	Adaptive NN-Based Reference-Tracking Control of Uncertain Nonlinear Parabolic PDE Systems. CDC Jingting Zhang, Yan Gu, Paolo Stegagno, Wei Zeng, Chengzhi Yuan
2021	J	`jnl`	Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning. Artif. Intell. Rev. Wei Zeng, Zixiang Lin, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2021	J	`jnl`	ECG arrhythmia classification based on variational mode decomposition, Shannon energy envelope and deterministic learning. Int. J. Mach. Learn. Cybern. Wei Zeng, Chengzhi Yuan
2021	C	`conf`	Fault Detection of A Class of Nonlinear Uncertain Parabolic PDE Systems. ACC Jingting Zhang, Chengzhi Yuan, Wei Zeng, Paolo Stegagno, Cong Wang
2021	J	`jnl`	Fault Detection of a Class of Nonlinear Uncertain Parabolic PDE Systems. IEEE Control. Syst. Lett. Jingting Zhang, Chengzhi Yuan, Wei Zeng, Paolo Stegagno, Cong Wang
2021	J	`jnl`	Horizontal Nonlinear Path Following Guidance Law for a Small UAV With Parameter Optimized by NMPC. IEEE Access Yang Chen, Chaolei Wang, Wei Zeng, Yongliang Wu
2021	J	`jnl`	Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments. Neurocomputing Jingting Zhang, Chengzhi Yuan, Cong Wang, Wei Zeng, Shi-Lu Dai
2021	J	`jnl`	The impact of feature extraction and selection for the classification of gait patterns between ACL deficient and intact knees based on different classification models. EURASIP J. Adv. Signal Process. Wei Zeng, Shiek Abdullah Ismail, Evangelos Pappas
2020	J	`jnl`	Classification of gait patterns in patients with unilateral anterior cruciate ligament deficiency based on phase space reconstruction, Euclidean distance and neural networks. Soft Comput. Wei Zeng, Shiek Abdullah Ismail, Evangelos Pappas
2020	J	`jnl`	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. Artif. Intell. Medicine Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2020	J	`jnl`	Composite adaptive NN learning and control for discrete-time nonlinear uncertain systems in normal form. Neurocomputing Jingting Zhang, Chengzhi Yuan, Cong Wang, Paolo Stegagno, Wei Zeng
2020	J	`jnl`	Cooperative Adaptive Learning Control for A Group of Nonholonomic UGVs by Output Feedback. CoRR Xiaonan Dong, Paolo Stegagno, Chengzhi Yuan, Wei Zeng
2020	J	`jnl`	Detecting the presence of anterior cruciate ligament deficiency based on a double pendulum model, intrinsic time-scale decomposition (ITD) and neural networks. Artif. Intell. Rev. Wei Zeng, Shiek Abdullah Ismail, Evangelos Pappas
2020	J	`jnl`	Detecting the presence of anterior cruciate ligament injury based on gait dynamics disparity and neural networks. Artif. Intell. Rev. Wei Zeng, Shiek Abdullah Ismail, Evangelos Pappas
2020	J	`jnl`	Identification of epileptic seizures in EEG signals using time-scale decomposition (ITD), discrete wavelet transform (DWT), phase space reconstruction (PSR) and neural networks. Artif. Intell. Rev. Wei Zeng, Mengqing Li, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2020	J	`jnl`	Similar Fault Isolation of Discrete-Time Nonlinear Uncertain Systems: An Adaptive Threshold Based Approach. IEEE Access Jingting Zhang, Qingbin Gao, Chengzhi Yuan, Wei Zeng, Shi-Lu Dai, Cong Wang
2020	C	`conf`	Switching Model Predictive Control of Switched Linear Systems with Average Dwell Time. ACC Chengzhi Yuan, Yan Gu, Wei Zeng, Paolo Stegagno
2019	J	`jnl`	Classification of Gait Patterns Using Kinematic and Kinetic Features, Gait Dynamics and Neural Networks in Patients with Unilateral Anterior Cruciate Ligament Deficiency. Neural Process. Lett. Wei Zeng, Shiek Abdullah Ismail, Yoong Ping Lim, Richard Smith, Evangelos Pappas
2019	J	`jnl`	Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning. Artif. Intell. Rev. Wei Zeng, Limin Ma, Chengzhi Yuan, Fenglin Liu, Qinghui Wang, Ying Wang, Yu Zhang
2019	J	`jnl`	Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks. Artif. Intell. Rev. Wei Zeng, Mengqing Li, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2019	J	`jnl`	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. Neural Networks Wei Zeng, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2019	J	`jnl`	Composite cooperative synchronization and decentralized learning of multi-robot manipulators with heterogeneous nonlinear uncertain dynamics. J. Frankl. Inst. Xiaonan Dong, Chengzhi Yuan, Paolo Stegagno, Wei Zeng, Cong Wang
2019	J	`jnl`	Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks. Artif. Intell. Rev. Fenglin Liu, Wei Zeng, Chengzhi Yuan, Qinghui Wang, Ying Wang
2019	J	`jnl`	Output containment control of heterogeneous multi-agent systems with leaders of bounded inputs: An adaptive finite-time observer approach. J. Frankl. Inst. Chengzhi Yuan, Wei Zeng
2019	J	`jnl`	Small fault detection from discrete-time closed-loop control using fault dynamics residuals. Neurocomputing Jingting Zhang, Chengzhi Yuan, Paolo Stegagno, Wei Zeng, Cong Wang
2018	—	`conf`	Composite Consensus Control and Cooperative Adaptive Learning. CDC Chengzhi Yuan, Nan Xue, Wei Zeng, Cong Wang
2018	J	`jnl`	Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators. Sci. China Inf. Sci. Marwan F. Abdelatti, Chengzhi Yuan, Wei Zeng, Cong Wang
2018	C	`conf`	H ACC Chengzhi Yuan, Shahab Ilbeigi, Wei Zeng, Tianrui Chen
2018	J	`jnl`	Hand gesture recognition using Leap Motion via deterministic learning. Multim. Tools Appl. Wei Zeng, Cong Wang, Qinghui Wang
2018	J	`jnl`	H∞ output containment control of heterogeneous multi-agent systems via distributed dynamic output feedback. J. Frankl. Inst. Chengzhi Yuan, Shahab Ilbeigi, Wei Zeng
2017	J	`jnl`	Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning. Pattern Recognit. Muqing Deng, Cong Wang, Fengjiang Cheng, Wei Zeng
2016	J	`jnl`	View-invariant gait recognition via deterministic learning. Neurocomputing Wei Zeng, Cong Wang
2015	J	`jnl`	Classification of neurodegenerative diseases using gait dynamics via deterministic learning. Inf. Sci. Wei Zeng, Cong Wang
2015	J	`jnl`	Gait recognition across different walking speeds via deterministic learning. Neurocomputing Wei Zeng, Cong Wang
2015	J	`jnl`	Learning from adaptive neural network control of an underactuated rigid spacecraft. Neurocomputing Wei Zeng, Qinghui Wang
2015	—	`conf`	Temporal consistency object tracker with ranking mechanism. ROBIO Yueen Hou, Ping Ye, Wei Zeng
2014	J	`jnl`	Learning from NN output feedback control of robot manipulators. Neurocomputing Wei Zeng, Cong Wang
2014	J	`jnl`	Model-Based Human Gait Recognition Via Deterministic Learning. Cogn. Comput. Wei Zeng, Cong Wang, Yuanqing Li
2014	J	`jnl`	Silhouette-based gait recognition via deterministic learning. Pattern Recognit. Wei Zeng, Cong Wang, Feifei Yang
2014	B	`conf`	View-invariant gait recognition via deterministic learning. IJCNN Wei Zeng, Cong Wang
2013	—	`conf`	Silhouette-Based Gait Recognition via Deterministic Learning. BICS Wei Zeng, Cong Wang
2012	J	`jnl`	Human gait recognition via deterministic learning. Neural Networks Wei Zeng, Cong Wang