| 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 |
| A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images Y Cui, G Zhang, Z Liu, Z Xiong, J Hu Medical & biological engineering & computing 57, 2027-2043, 2019 | 162 | 2019 |
| 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 |
| Convolutional neural networks for crystal material property prediction using hybrid orbital-field matrix and magpie descriptors Z Cao, Y Dan, Z Xiong, C Niu, X Li, S Qian, J Hu Crystals 9 (4), 191, 2019 | 54 | 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 |
| 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 |
| Automated phase segmentation for large-scale X-ray diffraction data using a graph-based phase segmentation (GPhase) algorithm Z Xiong, Y He, JR Hattrick-Simpers, J Hu ACS combinatorial science 19 (3), 137-144, 2017 | 19 | 2017 |
| Inferring phase diagrams from X-ray data with background signals using graph segmentation S Li, Z Xiong, J Hu Materials Science and Technology 34 (3), 315-326, 2018 | 6 | 2018 |
Jianjun HuProfessor of Computer Science, University of South CarolinaVerified email at cse.sc.edu
