| 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 | 379 | 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 | 139 | 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 | 105 | 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 | 94 | 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 | 83 | 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 | 81 | 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 | 45 | 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 | 41 | 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 | 30 | 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 | 29 | 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 | 21 | 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 | 14 | 2020 |
| 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 | 13 | 2023 |
| 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 | 13 | 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 | 12 | 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 | 11 | 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 | 10 | 2018 |
| 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 | 9 | 2022 |
| 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 | 5 | 2023 |
| Precise prediction of pathogenic microorganisms using 16S rRNA gene sequences YA Huang, ZA Huang, ZH You, P Hu, LP Li, ZW Li, L Wang Intelligent Computing Theories and Application: 15th International …, 2019 | 5 | 2019 |
