Zeyu Gao
Orcid: 0000-0003-2365-8318Affiliations:
- Xi'an Jiaotong University, School of Computer Science and Technology, National Engineering Lab for Big Data Analytics, Xi'an, China
- Xi'an Jiaotong University, Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an, China
According to our database1,
Zeyu Gao
authored at least 27 papers
between 2016 and 2024.
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Bibliography
2024
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation.
Inf. Process. Manag., 2024
PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification.
IEEE Trans. Medical Imaging, December, 2023
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.
IEEE Trans. Medical Imaging, October, 2023
Bioinform., January, 2023
Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.
IEEE Trans. Medical Imaging, 2023
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.
Medical Image Anal., 2023
2022
Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.
IEEE Trans. Medical Imaging, 2022
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit.
Proceedings of the IEEE International Conference on Data Mining, 2022
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network.
CoRR, 2021
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data.
CoRR, 2021
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning.
CoRR, 2021
Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis.
Proceedings of the IEEE International Conference on Data Mining, 2021
A Precision Diagnostic Framework of Renal Cell Carcinoma on Whole-Slide Images using Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Effects of annotation granularity in deep learning models for histopathological images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Multifeature Hyperspectral Image Classification With Local and Nonlocal Spatial Information via Markov Random Field in Semantic Space.
IEEE Trans. Geosci. Remote. Sens., 2018
2016
Spectral-Spatial Feature Learning Using Cluster-Based Group Sparse Coding for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Joint multi-feature hyperspectral image classification with spatial constraint in semantic manifold.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016