| 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 | 82 | 2019 |
| 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 Proc. of the 24th International Conference on Research in Computational …, 2020 | 12 | 2020 |
| Exploring robustness of unsupervised domain adaptation in semantic segmentation J Yang, C Li, W An, H Ma, Y Guo, Y Rong, P Zhao, J Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| 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 | 3 | 2021 |
| 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 | 2 | 2021 |
| Weightaln: Weighted homologous alignment for protein structure property prediction Y Guo, J Wu, H Ma, J Yang, X Zhu, J Huang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 2 | 2020 |
| 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 | 2 | 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 | 2 | 2020 |
| 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 | | 2022 |
| Self-supervised Pre-training for Protein Embeddings Using Tertiary Structures Y Guo, J Wu, H Ma, J Huang | | 2022 |
| Gradient-Norm Based Attentive Loss for Molecular Property Prediction H Ma, Y Rong, B Liu, Y Guo, C Yan, J Huang 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | | 2021 |
| SMILES-BERT S Wang, Y Guo, Y Wang, H Sun, J Huang | | |
Junzhou HuangProfessor of Computer Science and Engineering at the University of Texas at ArlingtonVerified email at uta.edu
