Chengsheng Mao
Title
Cited by
Cited by
Year
Graph convolutional networks for text classification
L Yao, C Mao, Y Luo
Proceedings of the AAAI Conference on Artificial Intelligence 33, 7370-7377, 2019
832019
Improve affective learning with EEG approach
X Li, Q Zhao, L Liu, H Peng, Y Qi, C Mao, Z Fang, Q Liu, B Hu
Computing and Informatics 29 (4), 557-570, 2012
312012
Feature selection for optimized high-dimensional biomedical data using an improved shuffled frog leaping algorithm
B Hu, Y Dai, Y Su, P Moore, X Zhang, C Mao, J Chen, L Xu
IEEE/ACM transactions on computational biology and bioinformatics 15 (6 …, 2016
262016
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks
L Yao, C Mao, Y Luo
BMC medical informatics and decision making 19 (3), 71, 2019
182019
A pervasive EEG-based biometric system
B Hu, C Mao, W Campbell, P Moore, L Liu, G Zhao
Proceedings of 2011 international workshop on Ubiquitous affective awareness …, 2011
182011
Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis
Y Dai, B Hu, Y Su, C Mao, J Chen, X Zhang, P Moore, L Xu, H Cai
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
132015
EEG-based biometric identification using local probability centers
C Mao, B Hu, M Wang, P Moore
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
92015
Learning from neighborhood for classification with local distribution characteristics
C Mao, B Hu, M Wang, P Moore
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
92015
Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization
Y Luo, C Mao, Y Yang, F Wang, FS Ahmad, D Arnett, MR Irvin, SJ Shah
Bioinformatics 35 (8), 1395-1403, 2019
62019
Deep generative classifiers for thoracic disease diagnosis with chest x-ray images
C Mao, L Yao, Y Pan, Y Luo, Z Zeng
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
62018
A pervasive stress monitoring system based on biological signals
G Zhao, B Hu, X Li, C Mao, R Huang
2013 Ninth International Conference on Intelligent Information Hiding and …, 2013
62013
MedGCN: graph convolutional networks for multiple medical tasks
C Mao, L Yao, Y Luo
arXiv preprint arXiv:1904.00326, 2019
52019
Bayesian classification with local probabilistic model assumption in aiding medical diagnosis
B Hu, C Mao, X Zhang, Y Dai
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
52015
Nearest neighbor method based on local distribution for classification
C Mao, B Hu, P Moore, Y Su, M Wang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 239-250, 2015
52015
Early prediction of acute kidney injury in critical care setting using clinical notes
Y Li, L Yao, C Mao, A Srivastava, X Jiang, Y Luo
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
42018
KG-BERT: BERT for Knowledge Graph Completion
L Yao, C Mao, Y Luo
arXiv preprint arXiv:1909.03193, 2019
32019
Cancer classification and pathway discovery using non-negative matrix factorization
Z Zeng, AH Vo, C Mao, SE Clare, SA Khan, Y Luo
Journal of biomedical informatics 96, 103247, 2019
32019
Developing a portable natural language processing based phenotyping system
H Sharma, C Mao, Y Zhang, H Vatani, L Yao, Y Zhong, L Rasmussen, ...
BMC medical informatics and decision making 19 (3), 78, 2019
32019
Imagegcn: Multi-relational image graph convolutional networks for disease identification with chest x-rays
C Mao, L Yao, Y Luo
arXiv preprint arXiv:1904.00325, 2019
22019
Supervised nonnegative matrix factorization to predict ICU mortality risk
G Chao, C Mao, F Wang, Y Zhao, Y Luo
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
22018
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