| Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification X Zhang, J Zhang, K Sun, X Yang, C Dai, Y Guo 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 62 | 2019 |
| OmiEmbed: a unified multi-task deep learning framework for multi-omics data X Zhang, Y Xing, K Sun, Y Guo Cancers 13 (12), 3047, 2021 | 50 | 2021 |
| XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data E Withnell, X Zhang, K Sun, Y Guo Briefings in bioinformatics 22 (6), bbab315, 2021 | 45 | 2021 |
| Determinants of SARS-CoV-2 receptor gene expression in upper and lower airways H Aliee, F Massip, C Qi, MS de Biase, J Van Nijnatten, ETG Kersten, ... MedRxiv, 2020.08. 31.20169946, 2020 | 20 | 2020 |
| Determinants of expression of SARS‐CoV‐2 entry‐related genes in upper and lower airways H Aliee, F Massip, C Qi, M Stella de Biase, J van Nijnatten, ETG Kersten, ... Allergy 77 (2), 690-694, 2022 | 14 | 2022 |
| A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer S Peng, Y Cui, S Yang, W Su, X Zhang, T Zhang, W Liu, XM Zhao IEEE/ACM transactions on computational biology and bioinformatics 16 (2 …, 2017 | 11 | 2017 |
| Efficient computation of motif discovery on intel many integrated core (mic) architecture S Peng, M Cheng, K Huang, YB Cui, Z Zhang, R Guo, X Zhang, S Yang, ... BMC bioinformatics 19 (9), 282, 2018 | 9 | 2018 |
| mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework S Peng, X Zhang, S Yang, W Su, Z Zhang, D Dong, K Lu, Y Lu, X Liao, ... Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud …, 2017 | 9 | 2017 |
| Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records J Zhang, X Zhang, K Sun, X Yang, C Dai, Y Guo 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 7 | 2019 |
| A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring Y Xing, H Ye, X Zhang, W Cao, S Zheng, J Bian, Y Guo 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 6 | 2022 |
| mAMBER: A CPU/MIC Collaborated Parallel Framework for AMBER on Tianhe-2 Supercomputer S Peng, X Zhang, Y Lu, X Liao, K Lu, C Yang, J Liu, W Zhu, D Wei 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 5 | 2016 |
| High-scalable collaborated parallel framework for large-scale molecular dynamic simulation on Tianhe-2 supercomputer S Peng, X Zhang, W Su, D Dong, Y Lu, X Liao, K Lu, C Yang, J Liu, W Zhu, ... IEEE/ACM transactions on computational biology and bioinformatics 17 (3 …, 2018 | 4 | 2018 |
| OmiTrans: generative adversarial networks based omics-to-omics translation framework X Zhang, Y Guo 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 3 | 2022 |
| Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends C Qiu, X Zhang, X Tong, N Guan, X Yi, K Yang, J Zhu, A Yu ISPRS Journal of Photogrammetry and Remote Sensing 209, 368-382, 2024 | | 2024 |
| OmiEmbed: reconstruct comprehensive phenotypic information from multi-omics data using multi-task deep learning X Zhang, K Sun, Y Guo arXiv preprint arXiv:2102.02669, 2021 | | 2021 |
| COPCOP: A Novel Algorithm and Parallel Optimization Framework for Co-Evolutionary Domain Detection X Zhang, X Liao, H Zhu, K Li, B Shi, S Peng IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018 | | 2018 |
| A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences X Zhang, X Liao, H Zhu, K Li, B Shi, S Peng 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | | 2017 |
Yike GuoDept of CSE, The Hong Kong University of Science and TechnologyVerified email at ust.hk
