Zhi-An Huang
Zhi-An Huang
City University of Hong Kong (Dongguan)
Verified email at - Homepage
Cited by
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PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
ZH You, ZA Huang, Z Zhu, GY Yan, ZW Li, Z Wen, X Chen
PLoS computational biology 13 (3), e1005455, 2017
Computational models for lncRNA function prediction and functional similarity calculation
X Chen, YZ Sun, NN Guan, J Qu, ZA Huang, ZX Zhu, JQ Li
Briefings in functional genomics 18 (1), 58-82, 2019
Identifying autism spectrum disorder from resting-state fMRI using deep belief network
ZA Huang, Z Zhu, CH Yau, KC Tan
IEEE Transactions on neural networks and learning systems 32 (7), 2847-2861, 2020
LRLSHMDA: Laplacian regularized least squares for human microbe–disease association prediction
F Wang, ZA Huang, X Chen, Z Zhu, Z Wen, J Zhao, GY Yan
Scientific reports 7 (1), 7601, 2017
Prediction of microbe–disease association from the integration of neighbor and graph with collaborative recommendation model
YA Huang, ZH You, X Chen, ZA Huang, S Zhang, GY Yan
Journal of translational medicine 15, 1-11, 2017
PBHMDA: path-based human microbe-disease association prediction
ZA Huang, X Chen, Z Zhu, H Liu, GY Yan, ZH You, Z Wen
Frontiers in microbiology 8, 233, 2017
Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder
YA Huang, ZA Huang, ZH You, Z Zhu, WZ Huang, JX Guo, CQ Yu
Frontiers in genetics 10, 758, 2019
Novel link prediction for large-scale miRNA-lncRNA interaction network in a bipartite graph
ZA Huang, YA Huang, ZH You, Z Zhu, Y Sun
BMC medical genomics 11, 17-27, 2018
LW-FQZip 2: a parallelized reference-based compression of FASTQ files
ZA Huang, Z Wen, Q Deng, Y Chu, Y Sun, Z Zhu
BMC bioinformatics 18, 1-8, 2017
Predicting microRNA–disease associations from lncRNA–microRNA interactions via multiview multitask learning
YA Huang, KCC Chan, ZH You, P Hu, L Wang, ZA Huang
Briefings in Bioinformatics 22 (3), bbaa133, 2021
Federated multi-task learning for joint diagnosis of multiple mental disorders on MRI scans
ZA Huang, Y Hu, R Liu, X Xue, Z Zhu, L Song, KC Tan
IEEE Transactions on Biomedical Engineering 70 (4), 1137-1149, 2022
Spatial–temporal co-attention learning for diagnosis of mental disorders from resting-state fMRI data
R Liu, ZA Huang, Y Hu, Z Zhu, KC Wong, KC Tan
IEEE Transactions on Neural Networks and Learning Systems, 2023
Attention-like multimodality fusion with data augmentation for diagnosis of mental disorders using MRI
R Liu, ZA Huang, Y Hu, Z Zhu, KC Wong, KC Tan
IEEE Transactions on Neural Networks and Learning Systems, 2022
Multi-Task learning for efficient diagnosis of ASD and ADHD using Resting-State fMRI data
ZA Huang, R Liu, KC Tan
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
Identification of autistic risk candidate genes and toxic chemicals via multilabel learning
ZA Huang, J Zhang, Z Zhu, EQ Wu, KC Tan
IEEE Transactions on Neural Networks and Learning Systems 32 (9), 3971-3984, 2020
Multi-LSTM networks for accurate classification of attention deficit hyperactivity disorder from resting-state fMRI data
R Liu, Z Huang, M Jiang, KC Tan
2020 2nd International Conference on Industrial Artificial Intelligence (IAI …, 2020
EPMDA: an expression-profile based computational model for microRNA-disease association prediction
YA Huang, ZH You, LP Li, ZA Huang, LX Xiang, XF Li, LT Lv
Oncotarget 8 (50), 87033, 2017
FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases
Y Sun, Z Zhu, ZH You, Z Zeng, ZA Huang, YA Huang
BMC Systems Biology 12, 57-68, 2018
Source free semi-supervised transfer learning for diagnosis of mental disorders on fmri scans
Y Hu, ZA Huang, R Liu, X Xue, X Sun, L Song, KC Tan
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Evolutionary Multitasking for Costly Task Offloading in Mobile Edge Computing Networks
C Yang, Q Chen, Z Zhu, ZA Huang, S Lan, L Zhu
IEEE Transactions on Evolutionary Computation, 2023
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