Fan Yang
Affiliations:- Tencent AI Lab
According to our database1,
Fan Yang
authored at least 17 papers
between 2020 and 2024.
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Bibliography
2024
2023
Deep domain adversarial neural network for the deconvolution of cell type mixtures in tissue proteome profiling.
Nat. Mac. Intell., October, 2023
scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data.
Briefings Bioinform., September, 2023
Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire.
Briefings Bioinform., January, 2023
2022
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data.
Nat. Mac. Intell., October, 2022
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis.
Bioinform., 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
ReMix: A General and Efficient Framework for Multiple Instance Learning Based Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Mining the Associations between V(D)J Gene Segments and COVID-19 Disease Characteristics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020