Yang Li
Orcid: 0000-0002-7815-470XAffiliations:
- Xi'an Jiaotong University, School of Computer Science and Technology, National Engineering Lab for Big Data Analytics, Xi'an, China
- Xi'an Jiaotong University, Key Laboratory of Intelligent Networks and Network Security, Xi'an, China
According to our database1,
Yang Li
authored at least 20 papers
between 2019 and 2024.
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Bibliography
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
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability.
IEEE Trans. Knowl. Data Eng., April, 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
Learning Robust Patient Representations from Multi-modal Electronic Health Records: A Supervised Deep Learning Approach.
Proceedings of the 2021 SIAM International Conference on Data Mining, 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
2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019