Yixuan Wang
Yixuan Wang
Ph.D student in CSE, Chinese University of Hong Kong
Vahvistettu sähköpostiosoite verkkotunnuksessa
E2Efold-3D: end-to-end deep learning method for accurate de novo RNA 3D structure prediction
T Shen, Z Hu, Z Peng, J Chen, P Xiong, L Hong, L Zheng, Y Wang, I King, ...
arXiv preprint arXiv:2207.01586, 2022
Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis
Y Chen, Y Wang, Y Chen, Y Cheng, Y Wei, Y Li, J Wang, Y Wei, TF Chan, ...
Nature Communications 13 (1), 6735, 2022
Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions
J Chen, Z Hu, S Sun, Q Tan, Y Wang, Q Yu, L Zong, L Hong, J Xiao, ...
bioRxiv, 2022.08. 06.503062, 2022
conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics
Y Zong, T Yu, X Wang, Y Wang, Z Hu, Y Li
bioRxiv, 2022.01. 14.476408, 2022
CLMB: deep contrastive learning for robust metagenomic binning
P Zhang, Z Jiang, Y Wang, Y Li
International Conference on Research in Computational Molecular Biology, 326-348, 2022
Con-AAE: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration
X Wang, Z Hu, T Yu, Y Wang, R Wang, Y Wei, J Shu, J Ma, Y Li
Bioinformatics 39 (4), btad162, 2023
A nonautonomous-differential-inclusion neurodynamic approach for nonsmooth distributed optimization on multi-agent systems
X Wen, Y Wang, S Qin
Neural Computing and Applications 33 (20), 13909-13920, 2021
AcrNET: predicting anti-CRISPR with deep learning
Y Li, Y Wei, S Xu, Q Tan, L Zong, J Wang, Y Wang, J Chen, L Hong, Y Li
Bioinformatics 39 (5), btad259, 2023
scMinerva: an Unsupervised Graph Learning Framework with Label-efficient Fine-tuning for Single-cell Multi-omics Integrated Analysis
T Yu, Y Zong, Y Wang, X Wang, Y Li
bioRxiv, 2022.05. 28.493838, 2022
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