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ORCIDPeng Yang 0011
Person information
- affiliation: Shenzhen University, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
Other persons with the same name
- Peng Yang — disambiguation page
- Peng Yang 0001 — Rutgers University, Computer Science Department, Piscataway, NJ, USA (and 1 more)
- Peng Yang 0002 — University of Tokyo, Japan
- Peng Yang 0003
![[0000-0003-3675-3365]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3675-3365")
— Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong - Peng Yang 0004 — University of Waterloo, Department of Electrical and Computer Engineering, ON, Canada (and 1 more)
- Peng Yang 0005 — Ministry of Agriculture, Key Laboratory of Agri-informatics, Beijing, China (and 1 more)
- Peng Yang 0006 — Washington University in St. Louis, Preston M. Green Department of Electrical and Systems Engineering, MO, USA
- Peng Yang 0007 — Nanjing Audit University, School of Technology, China (and 2 more)
- Peng Yang 0008 — Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China (and 1 more)
- Peng Yang 0009 — Beihang University, School of Electronic and Information Engineering / Key Laboratory of Advanced Technology of Near Space Information System, Beijing, China
- Peng Yang 0010 — King Abdullah University of Science and Technology, Saudi Arabia
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2020 – today
- 2021
[j7]Peng Yang, Feng Zhou, Dong Ni, Yanwu Xu, Siping Chen, Tianfu Wang, Baiying Lei:
Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment. IEEE Trans. Cybern. 51(1): 233-246 (2021)- 2020
- [j6]Baiying Lei, Nina Cheng, Alejandro F. Frangi, Ee-Leng Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu, Tianfu Wang:
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. Medical Image Anal. 61: 101652 (2020) - [j5]Fanglin Huang, Ee-Leng Tan, Peng Yang, Shan Huang, Le Ou-Yang, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation. Medical Image Anal. 63: 101662 (2020) - [j4]Baiying Lei, Mengya Yang, Peng Yang, Feng Zhou, Wen Hou, Wenbin Zou, Xia Li, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang:
Deep and joint learning of longitudinal data for Alzheimer's disease prediction. Pattern Recognit. 102: 107247 (2020) - [c9]Dongdong Liu, Yanwu Xu, Ahmed Elazab, Peng Yang, Wei Wang, Tianfu Wang, Baiying Lei:
Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory. ISBI 2020: 1-4 - [c8]Peng Yang, Qiong Yang, Wei Zheng, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei:
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. MICCAI (7) 2020: 603-612
2010 – 2019
- 2019
- [j3]Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Feng Zhou, Huoyou Hu, Xiaohua Xiao, Baiying Lei:
Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM. IEEE Access 7: 63605-63618 (2019) - [j2]Baiying Lei, Peng Yang, Yinan Zhuo, Feng Zhou, Dong Ni, Siping Chen, Xiaohua Xiao, Tianfu Wang:
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 23(4): 1661-1673 (2019) - [c7]Nina Cheng, Ahmed El-Azab, Peng Yang, Dongdong Liu, Shuangzhi Yu, Tianfu Wang, Baiying Lei:
Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis. EMBC 2019: 185-188 - [c6]Mengya Yang, Ahmed El-Azab, Peng Yang, Zaimin Xia, Tianfu Wang, Baiying Lei:
Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data. EMBC 2019: 281-284 - [c5]Chiyu Feng, Lili Jin, Chuangyong Xu, Peng Yang, Tianfu Wang, Baiying Lei, Ziwen Peng:
Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening. PRIME@MICCAI 2019: 34-43 - [c4]Peng Yang, Lili Jin, Chuangyong Xu, Tianfu Wang, Baiying Lei, Ziwen Peng:
OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning. GLMI@MICCAI 2019: 155-163 - [c3]Fanglin Huang, Peng Yang, Shan Huang, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis. MLMI@MICCAI 2019: 516-524 - 2018
- [c2]Mengya Yang, Peng Yang, Ahmed El-Azab, Wen Hou, Xia Li, Tianfu Wang, Wenbin Zou, Baiying Lei:
Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data*. EMBC 2018: 1254-1257 - [c1]Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Baiying Lei, Xiaohua Xiao:
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis. PRIME@MICCAI 2018: 138-146 - 2017
- [j1]Bai Ying Lei, Peng Yang, Tianfu Wang, Siping Chen, Dong Ni:
Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis. IEEE Trans. Cybern. 47(4): 1102-1113 (2017)
Coauthor Index
aka: Baiying Lei
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