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Sheng Wang
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Title
Cited by
Cited by
Year
Adaptive graph convolutional neural networks
R Li, S Wang, F Zhu, J Huang
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
8282018
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
3102019
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
1812017
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
1012020
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
812016
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
742016
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
592017
Graph convolutional nets for tool presence detection in surgical videos
S Wang, Z Xu, C Yan, J Huang
International Conference on Information Processing in Medical Imaging, 467-478, 2019
522019
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
472018
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
322020
M2CAI surgical tool detection challenge report
A Raju, S Wang, J Huang
Workshop and Challenges on Modeling and Monitoring of Computer Assisted …, 2016
292016
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
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
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
72018
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
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
52022
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
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
22017
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