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Hehuan Ma
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Cross-dependent graph neural networks for molecular property prediction
H Ma, Y Bian, Y Rong, W Huang, T Xu, W Xie, G Ye, J Huang
Bioinformatics 38 (7), 2003-2009, 2022
99*2022
Hierarchical graph capsule network
J Yang, P Zhao, Y Rong, C Yan, C Li, H Ma, J Huang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10603 …, 2021
392021
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
312022
Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs
Y Shi, H Ma, W Zhong, Q Tan, G Mai, X Li, T Liu, J Huang
2023 IEEE International Conference on Data Mining Workshops (ICDMW), 515-520, 2023
272023
Deep graph learning with property augmentation for predicting drug-induced liver injury
H Ma, W An, Y Wang, H Sun, R Huang, J Huang
Chemical research in toxicology 34 (2), 495-506, 2020
242020
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
202020
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
122022
Graph Neural Networks: Scalability
H Ma, Y Rong, J Huang
Graph Neural Networks: Foundations, Frontiers, and Applications, 99-119, 2022
122022
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
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
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
72022
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
Recent advances in toxicity prediction: applications of deep graph learning
Y Miao, H Ma, J Huang
Chemical Research in Toxicology 36 (8), 1206-1226, 2023
52023
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
NuSegDA: Domain adaptation for nuclei segmentation
MM Haq, H Ma, J Huang
Frontiers in Big Data 6, 1108659, 2023
42023
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
Molecule sequence generation with rebalanced variational autoencoder loss
C Yan, J Yang, H Ma, S Wang, J Huang
Journal of Computational Biology 30 (1), 82-94, 2023
32023
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