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Muqing Deng
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2020 – today
- 2024
- [j16]Muqing Deng, Kengren Chen, Dehua Huang, Dakai Liang, Dandan Liang, Yanjiao Wang, Xiaoyu Huang:
An intelligent computer-aided diagnosis method for paroxysmal atrial fibrillation patients with nondiagnostic ECG signals. Biomed. Signal Process. Control. 88(Part B): 105683 (2024) - [j15]Muqing Deng, Cong Wang:
Gait Recognition Under Different Clothing Conditions Via Deterministic Learning. IEEE CAA J. Autom. Sinica 11(6): 1530-1532 (2024) - [j14]Muqing Deng, Yi Zou, Wuqiao Zhu, Mali Xing, Yonghui Huang, Jie Yang:
Frontal-view gait recognition using discriminative dynamics feature representations and learning. J. Electronic Imaging 33(1) (2024) - [j13]Muqing Deng, Zebang Zhong, Yi Zou, Yanjiao Wang, Kaiwei Wang, Junrong Liao:
Human Gait Recognition Based on Frontal-View Walking Sequences Using Multi-modal Feature Representations and Learning. Neural Process. Lett. 56(2): 133 (2024) - [j12]Muqing Deng, Zhuyao Fan, Peng Lin, Xiaoreng Feng:
Human Gait Recognition Based on Frontal-View Sequences Using Gait Dynamics and Deep Learning. IEEE Trans. Multim. 26: 117-126 (2024) - 2023
- [j11]Muqing Deng, Xiaoyu Huang, Zhigao Liang, Wentao Lin, Beixi Mo, Dakai Liang, Shuhua Ruan, Jie Chen:
Classification of cardiac electrical signals between patients with myocardial infarction and normal subjects by using nonlinear dynamics features and different classification models. Biomed. Signal Process. Control. 79(Part): 104105 (2023) - [j10]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) - [c4]Mingying Ma, Muqing Deng, Dandan Liang, Xiaoyu Huang:
Computer-aided method for paroxysmal atrial fibrillation detection based on ECG signals. ICCEIC 2023: 525-529 - 2021
- [j9]Mali Xing, Feiqi Deng, Panshuo Li, Hao Yin, Muqing Deng:
Event-triggered tracking control for multi-agent systems with measurement noises. Int. J. Syst. Sci. 52(10): 1974-1986 (2021) - 2020
- [j8]Muqing Deng, Tingchang Fan, Jiuwen Cao, Siu-Ying Fung, Jing Zhang:
Human gait recognition based on deterministic learning and knowledge fusion through multiple walking views. J. Frankl. Inst. 357(4): 2471-2491 (2020) - [j7]Muqing Deng, Tingting Meng, Jiuwen Cao, Shimin Wang, Jing Zhang, Huijie Fan:
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks. Neural Networks 130: 22-32 (2020)
2010 – 2019
- 2019
- [j6]Haozhen Dai, Jiuwen Cao, Tianlei Wang, Muqing Deng, Zhixin Yang:
Multilayer one-class extreme learning machine. Neural Networks 115: 11-22 (2019) - [j5]Muqing Deng, Cong Wang:
Human Gait Recognition Based on Deterministic Learning and Data Stream of Microsoft Kinect. IEEE Trans. Circuits Syst. Video Technol. 29(12): 3636-3645 (2019) - [c3]Muqing Deng, Weiming Wu, Jiuwen Cao, Min Tang, Cong Wang:
Deterministic Learning-Based Methodology for Detecting Abnormal Dynamics of Cardiac Repolarization During Ischemia. EMBC 2019: 1492-1495 - [c2]Yaomin Wang, Jiuwen Cao, Jianzhong Wang, Dinghan Hu, Muqing Deng:
Epileptic Signal Classification with Deep Transfer Learning Feature on Mean Amplitude Spectrum. EMBC 2019: 2392-2395 - [c1]Muqing Deng, Haonan Yang, Jiuwen Cao, Xiaoreng Feng:
View-Invariant Gait Recognition Based on Deterministic Learning and Knowledge Fusion. IJCNN 2019: 1-8 - 2018
- [j4]Muqing Deng, Cong Wang, Min Tang, Tongjia Zheng:
Extracting cardiac dynamics within ECG signal for human identification and cardiovascular diseases classification. Neural Networks 100: 70-83 (2018) - [j3]Muqing Deng, Cong Wang, Tongjia Zheng:
Individual identification using a gait dynamics graph. Pattern Recognit. 83: 287-298 (2018) - 2017
- [j2]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
- [j1]Muqing Deng, Cong Wang, Qingfeng Chen:
Human gait recognition based on deterministic learning through multiple views fusion. Pattern Recognit. Lett. 78: 56-63 (2016)
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