Yang Li

According to our database, Yang Li authored at least 19 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification.

Jiangbo Shi, Lufei Tang, Zeyu Gao, Yang Li, Chunbao Wang, Tieliang Gong, Chen Li, Huazhu Fu

IEEE Trans. Medical Imaging, December, 2023

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.

Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li

IEEE Trans. Medical Imaging, October, 2023

Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability.

Xianli Zhang, Buyue Qian, Yang Li, Shilei Cao, Ian Davidson

IEEE Trans. Knowl. Data Eng., April, 2023

Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning.

Zeyu Gao, Anyu Mao, Kefei Wu, Yang Li, Liebin Zhao, Xianli Zhang, Jialun Wu, Lisha Yu, Chao Xing, Tieliang Gong, Yefeng Zheng, Deyu Meng, Min Zhou, Chen Li

IEEE Trans. Medical Imaging, 2023

A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images.

Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li

Medical Image Anal., 2023

2022

Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast.

Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li

IEEE Trans. Medical Imaging, 2022

Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit.

Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li

Proceedings of the IEEE International Conference on Data Mining, 2022

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation.

Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images.

Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li

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.

Xianli Zhang, Buyue Qian, Yang Li, Yang Liu, Xi Chen, Chong Guan, Chen Li

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.

Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li

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.

Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li

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.

Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Graph Neural Network-Based Diagnosis Prediction.

Yang Li, Buyue Qian, Xianli Zhang, Hui Liu

Big Data, 2020

Knowledge guided diagnosis prediction via graph spatial-temporal network.

Yang Li, Buyue Qian, Xianli Zhang, Hui Liu

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare.

Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Rethinking Dice Loss for Medical Image Segmentation.

Rongjian Zhao, Buyue Qian, Xianli Zhang, Yang Li, Rong Wei, Yang Liu, Yinggang Pan

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction.

Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network.

Changchang Yin, Buyue Qian, Jishang Wei, Xiaoyu Li, Xianli Zhang, Yang Li, Qinghua Zheng

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019