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ORCIDWei Zeng 0003
Person information
- affiliation: Longyan University, School of Mechanical and Electrical Engineering, Longyan, China
- affiliation (PhD 2012): South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
Other persons with the same name
- Wei Zeng — disambiguation page
- Wei Zeng 0001 — University of Portsmouth, Intelligent Systems & Biomedical Robotics group, UK
- Wei Zeng 0002 — Florida International University, School of Computing and Information Sciences, Miami, FL, USA (and 2 more)
- Wei Zeng 0004
![[0000-0002-5600-8824]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5600-8824")
— Hong Kong University of Science and Technology, Guangzhou, China (and 3 more) - Wei Zeng 0005 — Huizhou University, China
- Wei Zeng 0006 — Peking University, School of Electronics Engineering and Computer Science, National Engineering Laboratory for Video Technology, Beijing, China (and 3 more)
- Wei Zeng 0007 — University of Connecticut, Connecticut Transportation Safety Research Center, Storrs, CT, USA (and 1 more)
- Wei Zeng 0008 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Network Data Science and Technology, Beijing, China
- Wei Zeng 0009 — Huazhong University of Science and Technology, School of Automation, Wuhan, China
- Wei Zeng 0010 — South China University of Technology, School of Electric Power, Guangzhou, China
- Wei Zeng 0011 — University of Virginia, Center for Applied Biomechanics, Charlottesville, VA, USA (and 1 more)
- Wei Zeng 0012 — Xi'an Shiyou University, School of Mechanical Engineering, Xi'an, China (and 1 more)
- Wei Zeng 0013 — University of Electronic Science and Technology of China, Trusted Computing and Automated Reasoning Lab, Chengdu, China (and 2 more)
- Wei Zeng 0014 — China University of Mining and Technology, School of Electrical and Power Engineering, Xuzhou, China
- Wei Zeng 0015 — University of Wisconsin-Madison, Department of Electrical and Computer Engineering, Madison, WI, USA
- Wei Zeng 0016 — University of Amsterdam, Computer Vision Lab, Netherlands
- Wei Zeng 0017 — Harvard University, Division of Engineering and Applied Sciences, Cambridge, MA, USA (and 1 more)
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2020 – today
- 2024
[j51]Jianmin Xu, Fenglin Liu, Qinghui Wang, Ruirui Zou, Ying Wang, Junling Zheng, Shaoyi Du, Wei Zeng:
Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences. EURASIP J. Adv. Signal Process. 2024(1): 60 (2024)- [j50]Wei Zeng, Limin Ma, Yu Zhang:
Detection of knee osteoarthritis based on recurrence quantification analysis, fuzzy entropy and shallow classifiers. Multim. Tools Appl. 83(4): 11977-11998 (2024) - [j49]Wei Zeng, Limin Ma, Yu Zhang:
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. 83(7): 21107-21131 (2024) - 2023
- [j48]Wei Zeng, Bo Su, Chengzhi Yuan, Yang Chen:
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. 56(1): 781-806 (2023) - [j47]Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang:
A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks. Artif. Intell. Rev. 56(4): 3505-3541 (2023) - [j46]Bing Ji, Qihang Dai, Xinyu Ji, Weiming Wu, Qinghua Sun, Hecheng Ma, Menglin Cong, Lei Cheng, Cong Wang, Meng Si, Wei Zeng:
Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning. Artif. Intell. Rev. 56(9): 9157-9173 (2023) - [j45]Bing Ji, Qihang Dai, Xinyu Ji, Meng Si, Hecheng Ma, Menglin Cong, Lei Cheng, Liying Guan, Bo Su, Yuyan Zhang, Wei Zeng:
Exploring gait analysis and deep feature contributions to the screening of cervical spondylotic myelopathy. Appl. Intell. 53(20): 24587-24602 (2023) - [j44]Wei Zeng, Chengzhi Yuan:
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. 42(6): 3552-3588 (2023) - [j43]Qinghui Wang, Fenglin Liu, Ruirui Zou, Ying Wang, Chenyang Zheng, Zhiqiang Tian, Shaoyi Du, Wei Zeng:
Enhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation. EURASIP J. Adv. Signal Process. 2023(1): 132 (2023) - [j42]Muqing Deng, Xiaoreng Feng, Wei Zeng, Jiuwen Cao, Yu Zhang, Tongjia Zheng:
Recognizing knee pathologies by using gait dynamics via kernel principal component analysis and deterministic learning theory. J. Ambient Intell. Humaniz. Comput. 14(11): 15535-15543 (2023) - [j41]Yang Chen, Yao Wu, Wei Zeng, Shaoyi Du:
Kinematics Model Estimation of 4W Skid-Steering Mobile Robots Using Visual Terrain Classification. J. Robotics 2023: 1632563:1-1632563:12 (2023) - [j40]Yang Chen, Wei Zeng, Yongliang Wu:
Vector Field-Based Guidance for Planar Smooth Path Following of a Small Unmanned Helicopter. J. Robotics 2023: 8638882:1-8638882:15 (2023) - [j39]Yang Chen, Bo Su, Wei Zeng, Chengzhi Yuan, Bing Ji:
Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers. Multim. Tools Appl. 82(17): 26859-26883 (2023) - [j38]Wei Zeng, Bo Su, Yang Chen, Chengzhi Yuan:
Arrhythmia detection using TQWT, CEEMD and deep CNN-LSTM neural networks with ECG signals. Multim. Tools Appl. 82(19): 29913-29941 (2023) - [c12]Jingting Zhang, Yan Gu, Wei Zeng, Chengzhi Yuan:
Boundary Tracking Control for An Unstable Wave Equation with Boundary Uncertainties: A Backstepping Adaptive NN Approach. AIM 2023: 305-310 - [c11]Jingting Zhang, Xiaotian Chen, Emadodin Jandaghi, Wei Zeng, Mingxi Zhou, Chengzhi Yuan:
Dynamics Learning-Based Fault Isolation for A Soft Trunk Robot. ACC 2023: 40-45 - 2022
- [j37]Yang Chen, Nan Li, Wei Zeng, Shiqian Zhang, Guifang Ma:
Curved Path Following Controller for 4W Skid-Steering Mobile Robots Using Backstepping. IEEE Access 10: 66072-66082 (2022) - [j36]Chengzhi Yuan, Yan Gu, Wei Zeng:
Hybrid control of switched LFT uncertain systems with time-varying input delays. Int. J. Control 95(12): 3437-3448 (2022) - [c10]Xiaotian Chen, Paolo Stegagno, Wei Zeng, Chengzhi Yuan:
Localized Motion Dynamics Modeling of A Soft Robot: A Data-Driven Adaptive Learning Approach. ACC 2022: 2644-2649 - [c9]Jingting Zhang, Paolo Stegagno, Wei Zeng, Chengzhi Yuan:
Adaptive NN-Based Boundary Control for Output Tracking of A Wave Equation with Matched and Unmatched Boundary Uncertainties. ACC 2022: 3457-3463 - [i2]Jingting Zhang, Chengzhi Yuan, Wei Zeng, Cong Wang:
Fault Detection and Isolation of Uncertain Nonlinear Parabolic PDE Systems. CoRR abs/2203.15850 (2022) - 2021
- [j35]Yang Chen, Chaolei Wang, Wei Zeng, Yongliang Wu:
Horizontal Nonlinear Path Following Guidance Law for a Small UAV With Parameter Optimized by NMPC. IEEE Access 9: 127102-127116 (2021) - [j34]Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang:
A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks. Artif. Intell. Rev. 54(3): 1613-1647 (2021) - [j33]Wei Zeng, Zixiang Lin, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang:
Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning. Artif. Intell. Rev. 54(8): 6063-6100 (2021) - [j32]Jingting Zhang, Chengzhi Yuan, Wei Zeng, Paolo Stegagno, Cong Wang:
Fault Detection of a Class of Nonlinear Uncertain Parabolic PDE Systems. IEEE Control. Syst. Lett. 5(4): 1459-1464 (2021) - [j31]Wei Zeng, Shiek Abdullah Ismail, Evangelos Pappas:
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. 2021(1): 95 (2021) - [j30]Jingting Zhang, Chengzhi Yuan, Cong Wang, Wei Zeng, Shi-Lu Dai:
Intelligent adaptive learning and control for discrete-time nonlinear uncertain systems in multiple environments. Neurocomputing 462: 31-45 (2021) - [j29]Wei Zeng, Chengzhi Yuan:
ECG arrhythmia classification based on variational mode decomposition, Shannon energy envelope and deterministic learning. Int. J. Mach. Learn. Cybern. 12(10): 2963-2988 (2021) - [j28]Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang:
A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks. Soft Comput. 25(6): 4571-4595 (2021) - [c8]Jingting Zhang, Chengzhi Yuan, Wei Zeng, Paolo Stegagno, Cong Wang:
Fault Detection of A Class of Nonlinear Uncertain Parabolic PDE Systems. ACC 2021: 4081-4086 - [c7]Jingting Zhang, Yan Gu, Paolo Stegagno, Wei Zeng, Chengzhi Yuan:
Adaptive NN-Based Reference-Tracking Control of Uncertain Nonlinear Parabolic PDE Systems. CDC 2021: 4052-4057 - 2020
- [j27]Jingting Zhang, Qingbin Gao, Chengzhi Yuan, Wei Zeng, Shi-Lu Dai, Cong Wang:
Similar Fault Isolation of Discrete-Time Nonlinear Uncertain Systems: An Adaptive Threshold Based Approach. IEEE Access 8: 80755-80770 (2020) - [j26]Wei Zeng, Mengqing Li, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang:
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. 53(4): 3059-3088 (2020) - [j25]Wei Zeng, Shiek Abdullah Ismail, Evangelos Pappas:
Detecting the presence of anterior cruciate ligament injury based on gait dynamics disparity and neural networks. Artif. Intell. Rev. 53(5): 3153-3176 (2020) - [j24]Wei Zeng, Shiek Abdullah Ismail, Evangelos Pappas:
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. 53(5): 3231-3253 (2020) - [j23]Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang:
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 106: 101848 (2020) - [j22]Jingting Zhang, Chengzhi Yuan, Cong Wang, Paolo Stegagno, Wei Zeng:
Composite adaptive NN learning and control for discrete-time nonlinear uncertain systems in normal form. Neurocomputing 390: 168-184 (2020) - [j21]Wei Zeng, Shiek Abdullah Ismail, Evangelos Pappas:
Classification of gait patterns in patients with unilateral anterior cruciate ligament deficiency based on phase space reconstruction, Euclidean distance and neural networks. Soft Comput. 24(3): 1851-1868 (2020) - [c6]Chengzhi Yuan, Yan Gu, Wei Zeng, Paolo Stegagno:
Switching Model Predictive Control of Switched Linear Systems with Average Dwell Time. ACC 2020: 2888-2893 - [i1]Xiaonan Dong, Paolo Stegagno, Chengzhi Yuan, Wei Zeng:
Cooperative Adaptive Learning Control for A Group of Nonholonomic UGVs by Output Feedback. CoRR abs/2002.10059 (2020)
2010 – 2019
- 2019
- [j20]Wei Zeng, Limin Ma, Chengzhi Yuan, Fenglin Liu, Qinghui Wang, Ying Wang, Yu Zhang:
Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning. Artif. Intell. Rev. 52(1): 449-467 (2019) - [j19]Fenglin Liu, Wei Zeng, Chengzhi Yuan, Qinghui Wang, Ying Wang:
Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks. Artif. Intell. Rev. 52(1): 563-583 (2019) - [j18]Wei Zeng, Mengqing Li, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang:
Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks. Artif. Intell. Rev. 52(1): 625-647 (2019) - [j17]Jingting Zhang, Chengzhi Yuan, Paolo Stegagno, Wei Zeng, Cong Wang:
Small fault detection from discrete-time closed-loop control using fault dynamics residuals. Neurocomputing 365: 239-248 (2019) - [j16]Chengzhi Yuan, Wei Zeng:
Output containment control of heterogeneous multi-agent systems with leaders of bounded inputs: An adaptive finite-time observer approach. J. Frankl. Inst. 356(6): 3419-3442 (2019) - [j15]Xiaonan Dong, Chengzhi Yuan, Paolo Stegagno, Wei Zeng, Cong Wang:
Composite cooperative synchronization and decentralized learning of multi-robot manipulators with heterogeneous nonlinear uncertain dynamics. J. Frankl. Inst. 356(10): 5049-5072 (2019) - [j14]Wei Zeng, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang:
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 111: 64-76 (2019) - [j13]Wei Zeng, Shiek Abdullah Ismail, Yoong Ping Lim, Richard Smith, Evangelos Pappas:
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. 50(1): 887-909 (2019) - 2018
- [j12]Marwan F. Abdelatti, Chengzhi Yuan, Wei Zeng, Cong Wang:
Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators. Sci. China Inf. Sci. 61(11): 112201:1-112201:19 (2018) - [j11]Chengzhi Yuan, Shahab Ilbeigi, Wei Zeng:
H∞ output containment control of heterogeneous multi-agent systems via distributed dynamic output feedback. J. Frankl. Inst. 355(12): 5058-5081 (2018) - [j10]Wei Zeng, Cong Wang, Qinghui Wang:
Hand gesture recognition using Leap Motion via deterministic learning. Multim. Tools Appl. 77(21): 28185-28206 (2018) - [c5]Chengzhi Yuan, Shahab Ilbeigi, Wei Zeng, Tianrui Chen:
H∞ Output Containment Control of Heterogeneous Continuous-Time Multi-Agent Systems. ACC 2018: 3654-3659 - [c4]Chengzhi Yuan, Nan Xue, Wei Zeng, Cong Wang:
Composite Consensus Control and Cooperative Adaptive Learning. CDC 2018: 1409-1414 - 2017
- [j9]Muqing Deng, Cong Wang, Fengjiang Cheng, Wei Zeng:
Fusion of spatial-temporal and kinematic features for gait recognition with deterministic learning. Pattern Recognit. 67: 186-200 (2017) - 2016
- [j8]Wei Zeng, Cong Wang:
View-invariant gait recognition via deterministic learning. Neurocomputing 175: 324-335 (2016) - 2015
- [j7]Wei Zeng, Cong Wang:
Gait recognition across different walking speeds via deterministic learning. Neurocomputing 152: 139-150 (2015) - [j6]Wei Zeng, Qinghui Wang:
Learning from adaptive neural network control of an underactuated rigid spacecraft. Neurocomputing 168: 690-697 (2015) - [j5]Wei Zeng, Cong Wang:
Classification of neurodegenerative diseases using gait dynamics via deterministic learning. Inf. Sci. 317: 246-258 (2015) - [c3]Yueen Hou, Ping Ye, Wei Zeng:
Temporal consistency object tracker with ranking mechanism. ROBIO 2015: 602-607 - 2014
- [j4]Wei Zeng, Cong Wang, Yuanqing Li:
Model-Based Human Gait Recognition Via Deterministic Learning. Cogn. Comput. 6(2): 218-229 (2014) - [j3]Wei Zeng, Cong Wang:
Learning from NN output feedback control of robot manipulators. Neurocomputing 125: 172-182 (2014) - [j2]Wei Zeng, Cong Wang, Feifei Yang:
Silhouette-based gait recognition via deterministic learning. Pattern Recognit. 47(11): 3568-3584 (2014) - [c2]Wei Zeng, Cong Wang:
View-invariant gait recognition via deterministic learning. IJCNN 2014: 3465-3472 - 2013
- [c1]Wei Zeng, Cong Wang:
Silhouette-Based Gait Recognition via Deterministic Learning. BICS 2013: 1-10 - 2012
- [j1]Wei Zeng, Cong Wang:
Human gait recognition via deterministic learning. Neural Networks 35: 92-102 (2012)
Coauthor Index
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