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Yuzhi Guo
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Year
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
3462019
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
392021
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
322022
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
212020
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
132022
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
122021
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
82022
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
82020
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
82020
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
62022
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
62021
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
52021
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
42020
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
22024
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
arXiv preprint arXiv:2403.08967, 2024
12024
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
2024
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), 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
An Artificial Intelligence Model for Profiling the Landscape of Antigen-binding Affinities of Massive BCR 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
DEEP LEARNING FOR PROTEIN PROPERTY AND STRUCTURE PREDICTION
Y Guo
2022
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