| BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data Y Guo, S Liu, Z Li, X Shang BMC bioinformatics 19, 1-13, 2018 | 102 | 2018 |
| Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach J Peng, X Zhang, W Hui, J Lu, Q Li, S Liu, X Shang BMC systems biology 12, 109-116, 2018 | 55 | 2018 |
| Predicting and understanding student learning performance using multi-source sparse attention convolutional neural networks Y Zhang, R An, S Liu, J Cui, X Shang IEEE Transactions on Big Data 9 (1), 118-132, 2021 | 46 | 2021 |
| Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis Y Zhang, H Dai, Y Yun, S Liu, A Lan, X Shang Knowledge-Based Systems 205, 106290, 2020 | 40 | 2020 |
| Protein sub-nuclear localization based on effective fusion representations and dimension reduction algorithm LDA S Wang, S Liu International journal of molecular sciences 16 (12), 30343-30361, 2015 | 37 | 2015 |
| Towards the classification of cancer subtypes by using cascade deep forest model in gene expression data Y Guo, S Liu, Z Li, X Shang 2017 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2017 | 34 | 2017 |
| Linking genotype to phenotype in multi-omics data of small sample X Guo, Y Song, S Liu, M Gao, Y Qi, X Shang BMC genomics 22, 1-11, 2021 | 14 | 2021 |
| Hierarchical similarity network fusion for discovering cancer subtypes S Liu, X Shang Bioinformatics Research and Applications: 14th International Symposium …, 2018 | 14 | 2018 |
| Multi-instance discriminative contrastive learning for brain image representation Y Zhang, S Liu, X Qu, X Shang Neural Computing and Applications, 1-14, 2022 | 13 | 2022 |
| ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes S Liu, Y Zhang, X Shang, Z Zhang Briefings in bioinformatics 22 (6), bbab164, 2021 | 13 | 2021 |
| Graph-regularized federated learning with shareable side information Y Zhang, S Wei, S Liu, Y Wang, Y Xu, Y Li, X Shang Knowledge-Based Systems 257, 109960, 2022 | 10 | 2022 |
| GAE-LGA: integration of multi-omics data with graph autoencoders to identify lncRNA–PCG associations M Gao, S Liu, Y Qi, X Guo, X Shang Briefings in Bioinformatics 23 (6), bbac452, 2022 | 9 | 2022 |
| Integrated sparse coding with graph learning for robust data representation Y Zhang, S Liu IEEE Access 8, 161245-161260, 2020 | 7 | 2020 |
| Low-rank graph regularized sparse coding Y Zhang, S Liu, X Shang, M Xiang PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018 | 7 | 2018 |
| An mri study on effects of math education on brain development using multi-instance contrastive learning Y Zhang, S Liu, X Shang Frontiers in psychology 12, 765754, 2021 | 6 | 2021 |
| An improved hierarchical variational autoencoder for cell–cell communication estimation using single-cell RNA-seq data S Liu, Y Zhang, J Peng, X Shang Briefings in Functional Genomics 23 (2), 118-127, 2024 | 5 | 2024 |
| Imrelnc: Identifying immune-related lncrna characteristics in human cancers based on heuristic correlation optimization M Gao, S Liu, Y Qi, X Guo, X Shang Frontiers in genetics 12, 792541, 2022 | 5 | 2022 |
| Deep subspace similarity fusion for the prediction of cancer subtypes B Yang, S Liu, S Pang, C Pang, X Shang 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 5 | 2018 |
| Protein sub-nuclear location by fusing AAC and PSSM features based on sequence information S Liu, S Wang, H Ding 2015 IEEE 5th International Conference on Electronics Information and …, 2015 | 5 | 2015 |
| Markov guided spatio-temporal networks for brain image classification Y Zhang, Y Xu, R An, Y Li, S Liu, X Shang 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 4 | 2022 |
Yupei ZhangUniversity of Pennsylvania; Emory University; Northwestern Polytechnical University在 pennmedicine.upenn.edu 的电子邮件经过验证
