| Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation Z Xiong, Y Cui, Z Liu, Y Zhao, M Hu, J Hu Computational Materials Science 171, 109203, 2020 | 253 | 2020 |
| Transfer learning with deep recurrent neural networks for remaining useful life estimation A Zhang, H Wang, S Li, Y Cui, Z Liu, G Yang, J Hu Applied Sciences 8 (12), 2416, 2018 | 172 | 2018 |
| A deep learning algorithm for one-step contour aware nuclei segmentation of histopathological images Y Cui, G Zhang, Z Liu, Z Xiong, J Hu Medical & biological engineering & computing, 2019 | 162 | 2019 |
| End-to-end convolutional neural network model for gear fault diagnosis based on sound signals Y Yao, H Wang, S Li, Z Liu, G Gui, Y Dan, J Hu Applied Sciences 8 (9), 1584, 2018 | 103 | 2018 |
| DeepSeqPan, a novel deep convolutional neural network model for pan-specific class I HLA-peptide binding affinity prediction Z Liu, Y Cui, Z Xiong, A Nasiri, A Zhang, J Hu Scientific reports 9 (1), 794, 2019 | 60 | 2019 |
| Machine learning-based prediction of crystal systems and space groups from inorganic materials compositions Y Zhao, Y Cui, Z Xiong, J Jin, Z Liu, R Dong, J Hu ACS omega 5 (7), 3596-3606, 2020 | 45 | 2020 |
| DeepMHC: Deep convolutional neural networks for high-performance peptide-MHC binding affinity prediction J Hu, Z Liu bioRxiv, 239236, 2017 | 22 | 2017 |
| Deep learning pan‐specific model for interpretable MHC‐I peptide binding prediction with improved attention mechanism J Jin, Z Liu, A Nasiri, Y Cui, SY Louis, A Zhang, Y Zhao, J Hu Proteins: Structure, Function, and Bioinformatics 89 (7), 866-883, 2021 | 21 | 2021 |
| DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding prediction Z Liu, J Jin, Y Cui, Z Xiong, A Nasiri, Y Zhao, J Hu IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 21 | 2021 |
| Mislocalization-related disease gene discovery using gene expression based computational protein localization prediction Z Liu, J Hu Methods 93, 119-127, 2016 | 19 | 2016 |
| AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier A Nasiri, Y Cui, Z Liu, J Jin, Y Zhao, J Hu 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 3 | 2019 |
| Computational identification of post‐translational modification‐based nuclear import regulations by characterizing nuclear localization signal‐import receptor interaction JR Lin, Z Liu, J Hu Proteins: Structure, Function, and Bioinformatics 82 (10), 2783-2796, 2014 | 3 | 2014 |
| 基于兴趣点分类的无线传感器网络扫描覆盖机制 舒莉， 林锋， 刘中豪， 游健， 周激流 西南交通大学学报 49 (1), 165-172, 2014 | 2 | 2014 |
| Machine Learning Based Disease Gene Identification and MHC Immune Protein-peptide Binding Prediction Z Liu | | 2018 |
Jianjun HuProfessor of Computer Science, University of South CarolinaVahvistettu sähköpostiosoite verkkotunnuksessa cse.sc.edu
