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ORCIDMing Yang 0011
Person information
- affiliation: Children's Hospital of Nanjing Medical University, Department of Radiology, China
Other persons with the same name
- Ming Yang — disambiguation page
- Ming Yang 0001
![[0000-0002-8209-1000]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8209-1000")
— Southeast University, School of Computer Science and Engineering, Nanjing, China - Ming Yang 0002 — Shanghai Jiao Tong University, Department of Automation, China (and 1 more)
- Ming Yang 0003 — China University of Geosciences, School of Computer Science, Wuhan, China (and 1 more)
- Ming Yang 0004 — Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, AZ, USA
- Ming Yang 0005 — McGill University, Department of Electrical and Computer Engineering, Montreal, QC, Canada
- Ming Yang 0006 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China (and 1 more)
- Ming Yang 0007 — Ant Group, Seattle, WA, USA (and 4 more)
- Ming Yang 0008 — Shandong University, Key Laboratory of Power System Intelligent Dispatch and Control / Collaborative Innovation Center of Global Energy Internet, Jinan, China
- Ming Yang 0009 — Henan Polytechnic University, School of Safety Science and Engineering, Jiaozuo, China
- Ming Yang 0010 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Ming Yang 0012 — Zhejiang University, College of Information Science & Electronic Engineering, Hangzhou, Zhejiang, China (and 1 more)
- Ming Yang 0013 — People's Public Security University of China, School of Information Network Security, Beijing, China
- Ming Yang 0014 — Nanjing Normal University, School of Computer Science and Technology, Nanjing, China (and 1 more)
- Ming Yang 0015 — Harbin Institute of Technology, School of Astronautics, Control and Simulation Center, Harbin, China
- Ming Yang 0016 — Shanghai Jiaotong University, School of Electronic Information and Electrical Engineering, Department of Instrument Science and Engineering, Shanghai, China (and 1 more)
- Ming Yang 0017 — Anhui University, School of Physics and Materials Science, Key Laboratory of Opto-electronic Information Acquisition and Manipulation, Hefei, China
- Ming Yang 0018 — Nanyang Technological University, School of Computer Engineering, Singapore
- Ming Yang 0019 — Kennesaw State University, College of Computing and Software Engineering, Marietta, GA, USA (and 4 more)
- Ming Yang 0020 — Southeast University, Department of Mathematics, Nanjing, China
- Ming Yang 0021 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai, China
- Ming Yang 0022 — Yunnan University of Finance and Economics, School of Information, Kunming, China
- Ming Yang 0023 — Qilu University of Technology (Shandong Academy of Sciences), Shandong Computer Science Center, Shandong Provincial Key Laboratory of Computer Networks, Jinan, China (and 1 more)
- Ming Yang 0024 — Westfield State University, Department of Computer and Information Science, Westfield, MA, USA (and 2 more)
- Ming Yang 0025 — Bozhou University, Department of Electronics and Information Engineering, Bozhou, China (and 1 more)
- Ming Yang 0026 — Southwest University, College of Computer and Information Science, Chongqing, China
- Ming Yang 0027 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
- Ming Yang 0028 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Ming Yang 0029 — Nanyang Technological University, Centre for Information Sciences and Systems (CISS), NTU-NXP Smart Mobility Test Bed project, Singapore (and 2 more)
- Ming Yang 0030 — Guizhou University, Electrical Engineering College, Guiyang, China (and 1 more)
- Ming Yang 0031 — Coventry University, Faculty of Engineering, Environment and Computing, Coventry, UK
- Ming Yang 0032 — Zhejiang Meteorological Information Network Center, Hangzhou, China (and 2 more)
- Ming Yang 0033 — Tsinghua University, Department of Computer Science and Technology, BNRist, Beijing, China
- Ming Yang 0034 — National Cheng Kung University, Department of Geomatics, Tainan, Taiwan
- Ming Yang 0035 — National Observatory of Athens, Institute for Astronomy, Astrophysics, Space Applications & Remote Sensing, Penteli, Greece
- Ming Yang 0036 — University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, NC, USA
- Ming Yang 0037 — Central University of Finance and Economics, Beijing, China (and 1 more)
- Ming Yang 0038 — Delft University of Technology, Faculty of Technology, Policy and Management, Department of Values, Technology, and Innovation, The Netherlands (and 2 more)
- Ming Yang 0039 — CVTE Research, Guangzhou, China (and 1 more)
- Ming Yang 0040 — University of New Orleans, Department of Electrical Engineering, New Orleans, LA, USA
- Ming Yang 0041 — Yunnan University of Traditional Chinese Medicine, Modern Continuing Education Center, Kunming, China
- Ming Yang 0042 — Yahoo, Sunnyvale, CA, USA (and 1 more)
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2020 – today
- 2021
[j18]Yu-Dong Zhang, Zhengchao Dong, Juan Manuel Górriz, Yizhang Jiang, Ming Yang, Shui-Hua Wang:
IEEE Access Special Section Editorial: Emerging Deep Learning Theories and Methods for Biomedical Engineering. IEEE Access 9: 74038-74043 (2021)- 2020
- [j17]Shuihua Wang, Jin Hong, Ming Yang:
Sensorineural hearing loss identification via nine-layer convolutional neural network with batch normalization and dropout. Multim. Tools Appl. 79(21-22): 15135-15150 (2020) - [j16]Jingyuan Yang, Vishnuvarthanan Govindaraj, Ming Yang, Shuihua Wang:
Hearing loss detection by discrete wavelet transform and multi-layer perceptron trained by nature-inspired algorithms. Multim. Tools Appl. 79(21-22): 15717-15745 (2020)
2010 – 2019
- 2019
- [j15]Shuihua Wang, Yudong Zhang, Ming Yang, Bin Liu, Javier Ramírez, Juan Manuel Górriz:
Unilateral sensorineural hearing loss identification based on double-density dual-tree complex wavelet transform and multinomial logistic regression. Integr. Comput. Aided Eng. 26(4): 411-426 (2019) - 2018
- [j14]Yudong Zhang, Yin Zhang, Zhengchao Dong, Ti-Fei Yuan, Liangxiu Han, Ming Yang, Carlo Cattani, Huimin Lu:
IEEE Access Special Section Editorial: Advanced Signal Processing Methods In Medical Imaging. IEEE Access 6: 61812-61818 (2018) - [j13]Wenjuan Jia, Ming Yang, Shuihua Wang:
Author Correction: Three-Category Classification of Magnetic Resonance Hearing Loss Images Based on Deep Autoencoder. J. Medical Syst. 42(2): 31:1 (2018) - [j12]Shuihua Wang, Preetha Phillips, Yuxiu Sui, Bin Liu, Ming Yang, Hong Cheng:
Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling. J. Medical Syst. 42(5): 85:1-85:11 (2018) - [j11]Siyuan Lu, Zhihai Lu, Jianfei Yang, Ming Yang, Shuihua Wang:
A pathological brain detection system based on kernel based ELM. Multim. Tools Appl. 77(3): 3715-3728 (2018) - [j10]Yi Chen, Ming Yang, Xianqing Chen, Bin Liu, Hainan Wang, Shuihua Wang:
Sensorineural hearing loss detection via discrete wavelet transform and principal component analysis combined with generalized eigenvalue proximal support vector machine and Tikhonov regularization. Multim. Tools Appl. 77(3): 3775-3793 (2018) - [j9]Yu-Ting Liu, Hui-Jun Li, Ting Chen, Ya-Qing Huang, Lian Zhang, Hui-Xin Zhang, Zhi-Chun Huang, Bin Liu, Ming Yang:
Aberrant functional connectivity in patients with obstructive sleep apnea-hypopnea syndrome: a resting-state functional MRI study. Multim. Tools Appl. 77(3): 4065-4079 (2018) - [j8]Yudong Zhang, Xiao-Xia Hou, Yi Chen, Hong Chen, Ming Yang, Jiquan Yang, Shuihua Wang:
Voxelwise detection of cerebral microbleed in CADASIL patients by leaky rectified linear unit and early stopping. Multim. Tools Appl. 77(17): 21825-21845 (2018) - 2017
- [j7]Shuihua Wang, Ming Yang, Jianwu Li, Xueyan Wu, Hainan Wang, Bin Liu, Zhengchao Dong, Yudong Zhang:
Texture Analysis Method Based on Fractional Fourier Entropy and Fitness-scaling Adaptive Genetic Algorithm for Detecting Left-sided and Right-sided Sensorineural Hearing Loss. Fundam. Informaticae 151(1-4): 505-521 (2017) - [j6]Wenjuan Jia, Ming Yang, Shuihua Wang:
Three-Category Classification of Magnetic Resonance Hearing Loss Images Based on Deep Autoencoder. J. Medical Syst. 41(10): 165:1-165:11 (2017) - [c2]Shuihua Wang, Sidan Du, Yang Li, Huimin Lu, Ming Yang, Bin Liu, Yudong Zhang:
Hearing Loss Detection in Medical Multimedia Data by Discrete Wavelet Packet Entropy and Single-Hidden Layer Neural Network Trained by Adaptive Learning-Rate Back Propagation. ISNN (2) 2017: 541-549 - [c1]Shuihua Wang, Yudong Zhang, Ming Yang, Bin Liu, Javier Ramírez, Juan Manuel Górriz:
Preliminary Study on Unilateral Sensorineural Hearing Loss Identification via Dual-Tree Complex Wavelet Transform and Multinomial Logistic Regression. IWINAC (1) 2017: 289-297 - 2016
- [j5]Shuihua Wang, Tianming Zhan, Yi Chen, Yin Zhang, Ming Yang, Huimin Lu, Hainan Wang, Bin Liu, Preetha Phillips:
Multiple Sclerosis Detection Based on Biorthogonal Wavelet Transform, RBF Kernel Principal Component Analysis, and Logistic Regression. IEEE Access 4: 7567-7576 (2016) - [j4]Shuihua Wang, Ming Yang, Yin Zhang, Jianwu Li, Ling Zou, Siyuan Lu, Bin Liu, Jiquan Yang, Yudong Zhang:
Detection of Left-Sided and Right-Sided Hearing Loss via Fractional Fourier Transform. Entropy 18(5): 194 (2016) - [j3]Shuihua Wang, Ming Yang, Sidan Du, Jiquan Yang, Bin Liu, Juan Manuel Górriz, Javier Ramírez, Ti-Fei Yuan, Yudong Zhang:
Wavelet Entropy and Directed Acyclic Graph Support Vector Machine for Detection of Patients with Unilateral Hearing Loss in MRI Scanning. Frontiers Comput. Neurosci. 10: 106 (2016) - [j2]Yudong Zhang, Siyuan Lu, Xingxing Zhou, Ming Yang, Lenan Wu, Bin Liu, Preetha Phillips, Shuihua Wang:
Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, k-nearest neighbors, and support vector machine. Simul. 92(9): 861-871 (2016) - 2014
- [j1]Ming Yang, Ya-ru Yang, Hui-Jun Li, Xue-song Lu, Yong-mei Shi, Bin Liu, Hua-jun Chen, Gao-J. jun Teng:
Fully Automated Detection of Corticospinal Tract Damage in Chronic Stroke Patients. Comput. Math. Methods Medicine 2014: 370849:1-370849:5 (2014)
Coauthor Index
aka: Shui-Hua Wang
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