| Adaptive graph convolutional neural networks R Li, S Wang, F Zhu, J Huang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 606 | 2018 |
| SMILES-BERT: large scale unsupervised pre-training for molecular property prediction S Wang, Y Guo, Y Wang, H Sun, J Huang Proceedings of the 10th ACM international conference on bioinformatics …, 2019 | 156 | 2019 |
| Seq2seq fingerprint: An unsupervised deep molecular embedding for drug discovery Z Xu, S Wang, F Zhu, J Huang Proceedings of the 8th ACM international conference on bioinformatics …, 2017 | 140 | 2017 |
| Label-driven reconstruction for domain adaptation in semantic segmentation J Yang, W An, S Wang, X Zhu, C Yan, J Huang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 75 | 2020 |
| Subtype cell detection with an accelerated deep convolution neural network S Wang, J Yao, Z Xu, J Huang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 69 | 2016 |
| Imaging biomarker discovery for lung cancer survival prediction J Yao, S Wang, X Zhu, J Huang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 63 | 2016 |
| Deep learning based multi-label classification for surgical tool presence detection in laparoscopic videos S Wang, A Raju, J Huang 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 45 | 2017 |
| Graph convolutional nets for tool presence detection in surgical videos S Wang, Z Xu, C Yan, J Huang Information Processing in Medical Imaging: 26th International Conference …, 2019 | 41 | 2019 |
| Seq3seq fingerprint: towards end-to-end semi-supervised deep drug discovery X Zhang, S Wang, F Zhu, Z Xu, Y Wang, J Huang Proceedings of the 2018 ACM international conference on bioinformatics …, 2018 | 27 | 2018 |
| M2cai surgical tool detection challenge report A Raju, S Wang, J Huang Workshop and Challenges on Modeling and Monitoring of Computer Assisted …, 2016 | 27 | 2016 |
| Re-balancing variational autoencoder loss for molecule sequence generation C Yan, S Wang, J Yang, T Xu, J Huang Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020 | 25 | 2020 |
| Bagging msa learning: Enhancing low-quality pssm with deep learning for accurate protein structure property prediction Y Guo, J Wu, H Ma, S Wang, J Huang Research in Computational Molecular Biology: 24th Annual International …, 2020 | 16 | 2020 |
| Specific and intrinsic sequence patterns extracted by deep learning from intra-protein binding and non-binding peptide fragments Y Wang, J Huang, W Li, S Wang, C Ding Scientific reports 7 (1), 14916, 2017 | 16 | 2017 |
| EPTool: a new enhancing PSSM tool for protein secondary structure prediction Y Guo, J Wu, H Ma, S Wang, J Huang Journal of Computational Biology 28 (4), 362-364, 2021 | 8 | 2021 |
| Improving molecular property prediction on limited data with deep multi-label learning H Ma, C Yan, Y Guo, S Wang, Y Wang, H Sun, J Huang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 5 | 2020 |
| Protein ensemble learning with atrous spatial pyramid networks for secondary structure prediction Y Guo, J Wu, H Ma, S Wang, J Huang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 5 | 2020 |
| PRIM: an efficient preconditioning iterative reweighted least squares method for parallel brain MRI reconstruction Z Xu, S Wang, Y Li, F Zhu, J Huang Neuroinformatics 16, 425-430, 2018 | 4 | 2018 |
| Comprehensive study on enhancing low-quality position-specific scoring matrix with deep learning for accurate protein structure property prediction: using bagging multiple … Y Guo, J Wu, H Ma, S Wang, J Huang Journal of Computational Biology 28 (4), 346-361, 2021 | 3 | 2021 |
| Deep ensemble learning with atrous spatial pyramid networks for protein secondary structure prediction Y Guo, J Wu, H Ma, S Wang, J Huang Biomolecules 12 (6), 774, 2022 | 1 | 2022 |
| Rigid image registration via column sparse optimisation for seal registration Q Guo, L Zhang, S Wang, Z Yi Electronics letters 49 (17), 1069-1071, 2013 | 1 | 2013 |
Junzhou Huang, FAIMBEJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonVerified email at uta.edu
