Yu Zhao
Orcid: 0000-0001-8179-4903Affiliations:
- Tencent AI Lab, Shenzhen, China
- Technical University Munich, Germany (former)
- Beihang University, School of Electronic and Information Engineering, Beijing, China (former)
According to our database1,
Yu Zhao
authored at least 26 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
2023
SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor.
Briefings Bioinform., July, 2023
Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire.
Briefings Bioinform., January, 2023
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune Receptors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis.
Bioinform., 2022
SETMIL: Spatial Encoding Transformer-Based Multiple Instance Learning for Pathological Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 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
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
Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images.
IEEE J. Biomed. Health Informatics, 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
2019
IEEE J. Biomed. Health Informatics, 2019
Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things.
Future Gener. Comput. Syst., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on <sup>18</sup>F-FDG PET Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Deep Neural Network for Automatic Characterization of Lesions on 68Ga-PSMA PET/CT Images.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function.
CoRR, 2018
Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing.
IEEE Access, 2018
Hierarchical Multi-class Segmentation of Glioma Images Using Networks with Multi-level Activation Function.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
W-Net for Whole-Body Bone Lesion Detection on ^68 Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017