Graph convolutional neural networks with global attention for improved materials property prediction SY Louis, Y Zhao, A Nasiri, X Wang, Y Song, F Liu, J Hu Physical Chemistry Chemical Physics 22 (32), 18141-18148, 2020 | 165 | 2020 |
High-Throughput Discovery of Novel Cubic Crystal Materials Using Deep Generative Neural Networks JH Yong Zhao, Mohammed Al-Fahdi, Ming Hu, Edirisuriya M. D. Siriwardane ... Advanced Science 8, 2100566, 2021 | 80 | 2021 |
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 | 63 | 2019 |
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 | 26 | 2021 |
Online Damage Monitoring of SiCf-SiCm Composite Materials Using Acoustic Emission and Deep Learning A Nasiri, J Bao, D Mccleeary, SYM Louis, X Huang, J Hu IEEE Access 7, 140534-140541, 2019 | 25 | 2019 |
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 | 24 | 2021 |
Machine learning based prediction of noncentrosymmetric crystal materials Y Song, J Lindsay, Y Zhao, A Nasiri, SY Louis, J Ling, M Hu, J Hu Computational Materials Science 183, 109792, 2020 | 21 | 2020 |
SoundCLR: contrastive learning of representations for improved environmental sound classification A Nasiri, J Hu arXiv preprint arXiv:2103.01929, 2021 | 20 | 2021 |
Active-learning-based generative design for the discovery of wide-band-gap materials R Xin, EMD Siriwardane, Y Song, Y Zhao, SY Louis, A Nasiri, J Hu The Journal of Physical Chemistry C 125 (29), 16118-16128, 2021 | 19 | 2021 |
Node-select: a graph neural network based on a selective propagation technique SY Louis, A Nasiri, FJ Rolland, C Mitro, J Hu Neurocomputing 494, 396-408, 2022 | 10 | 2022 |
Unsupervised object representation learning using translation and rotation group equivariant VAE A Nasiri, T Bepler Advances in Neural Information Processing Systems 35, 15255-15267, 2022 | 9 | 2022 |
Remaining Useful Strength (RUS) Prediction of SiCf-SiCm Composite Materials Using Deep Learning and Acoustic Emission SYM Louis, A Nasiri, J Bao, Y Cui, Y Zhao, J Jin, X Huang, J Hu Applied Sciences 10 (8), 2680, 2020 | 8 | 2020 |
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 | 4 | 2019 |
SO (3)-Equivariant Representation Learning in 2D Images D Granberry, A Nasiri, J Shou, AJ Noble, T Bepler NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023 | 1 | 2023 |
Unsupervised Particle Picking and Clustering in Cryo-EM Micrographs A Nasiri, D Granberry, T Bepler Microscopy and Microanalysis 29 (Supplement_1), 965-966, 2023 | | 2023 |