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 53 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA.
CoRR, May, 2026
Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning.
CoRR, May, 2026
External Retrievals or Internal Priors? From RAG to Epitome-Augmented Generation by Fuzzy Selection.
IEEE Trans. Fuzzy Syst., April, 2026
Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma.
CoRR, April, 2026
IEEE Trans. Medical Imaging, March, 2026
CARE: A Molecular-Guided Foundation Model with Adaptive Region Modeling for Whole Slide Image Analysis.
CoRR, February, 2026
A Systematic Review on Data-Driven Brain Deformation Modeling for Image-Guided Neurosurgery.
CoRR, February, 2026
PH2ST: Prompt-guided hypergraph learning for spatial transcriptomics prediction in whole slide images.
Medical Image Anal., 2026
Medical Image Anal., 2026
HAAF: Hierarchical Adaptation and Alignment of Foundation Models for Few-Shot Pathology Anomaly Detection.
Proceedings of the ACM Web Conference 2026, 2026
2025
Multi-task deep learning for automatic image segmentation and treatment response assessment in metastatic ovarian cancer.
Int. J. Comput. Assist. Radiol. Surg., September, 2025
Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer.
CoRR, August, 2025
CoRR, July, 2025
Exploring Cognitive Difference in Poetry Collection via Large Language Models and Metaphors: A Case Study of the Book of Songs.
Cogn. Comput., June, 2025
The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models.
CoRR, May, 2025
ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction.
CoRR, March, 2025
StaDis: Stability distance to detecting out-of-distribution data in computational pathology.
Medical Image Anal., 2025
From patches to WSIs: A systematic review of deep Multiple Instance Learning in computational pathology.
Inf. Fusion, 2025
CoxKAN: Kolmogorov-Arnold networks for interpretable, high-performance survival analysis.
Bioinform., 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation.
Inf. Process. Manag., 2024
CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis.
CoRR, 2024
A Self-supervised Image Registration Approach for Measuring Local Response Patterns in Metastatic Ovarian Cancer.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 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
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Shallow-Deep Synergy: Boosting Cross-Domain Generalization in Histopathological Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
BERT-Based Meta-Learning Approach with Looking Back for Sentiment Analysis of Literary Book Reviews.
Proceedings of the Natural Language Processing and Chinese Computing, 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