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 | 412 | 2019 |
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 | 44 | 2021 |
Self-supervised pre-training for protein embeddings using tertiary structures Y Guo, J Wu, H Ma, J Huang Proceedings of the AAAI conference on artificial intelligence 36 (6), 6801-6809, 2022 | 34 | 2022 |
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 | 22 | 2020 |
Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation S Na, Y Guo, F Jiang, H Ma, J Huang arXiv preprint arXiv:2401.13220, 2024 | 16 | 2024 |
MoDNA: motif-oriented pre-training for DNA language model W An, Y Guo, Y Bian, H Ma, J Yang, C Li, J Huang Proceedings of the 13th ACM international conference on bioinformatics …, 2022 | 16 | 2022 |
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 | 15 | 2021 |
Robust self-training strategy for various molecular biology prediction tasks H Ma, F Jiang, Y Rong, Y Guo, J Huang Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 9 | 2022 |
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 | 8 | 2022 |
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 | 8 | 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 | 8 | 2020 |
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 | 6 | 2021 |
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 | 5 | 2021 |
Pathm3: A multimodal multi-task multiple instance learning framework for whole slide image classification and captioning Q Zhou, W Zhong, Y Guo, M Xiao, H Ma, J Huang International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 4 | 2024 |
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 | 4 | 2020 |
GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity F Jiang, Y Guo, H Ma, S Na, W Zhong, Y Han, T Wang, J Huang Briefings in Bioinformatics 25 (4), bbae343, 2024 | 1 | 2024 |
Advancing DNA Language Models through Motif-Oriented Pre-Training with MoDNA W An, Y Guo, Y Bian, H Ma, J Yang, C Li, J Huang BioMedInformatics 4 (2), 1556-1571, 2024 | 1 | 2024 |
Compositional Image Retrieval via Instruction-Aware Contrastive Learning W Zhong, W An, F Jiang, H Ma, Y Guo, J Huang arXiv preprint arXiv:2412.05756, 2024 | | 2024 |
Cmai: Predicting Antigen-Antibody Interactions from Massive Sequencing Data B Song, K Wang, S Na, J Yao, FJ Fattah, MS von Itzstein, DM Yang, J Liu, ... bioRxiv, 2024.06. 27.601035, 2024 | | 2024 |
Toward Robust Self-Training Paradigm for Molecular Prediction Tasks H Ma, F Jiang, Y Rong, Y Guo, J Huang Journal of Computational Biology 31 (3), 213-228, 2024 | | 2024 |