Hailin Yue

According to our database, Hailin Yue authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

CA²CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image Analysis.

Junjian Li, Hulin Kuang, Jin Liu, Hailin Yue, Jianxin Wang

IEEE J. Biomed. Health Informatics, July, 2025

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction.

Hailin Yue, Hulin Kuang, Jin Liu, Junjian Li, Lanlan Wang, Mengshen He, Jianxin Wang

CoRR, July, 2025

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis.

Junjian Li, Hulin Kuang, Jin Liu, Hailin Yue, Mengshen He, Jianxin Wang

CoRR, June, 2025

Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI.

Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang

Big Data Min. Anal., 2025

SDMFF: Spatial-Temporal Dual-Pathway Network with Multi-scale Feature Fusion for Parkinson's Disease Diagnosis.

Yijin Wang, Hailin Yue, Hulin Kuang, Jianxin Wang

Proceedings of the Bioinformatics Research and Applications - 21st International Symposium, 2025

2024

Chinese EMR Named Entity Recognition Using Fused Label Relations Based on Machine Reading Comprehension Framework.

Junwen Duan, Shuyue Liu, Xincheng Liao, Feng Gong, Hailin Yue, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

2023

RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss.

Yu Chen, Hailin Yue, Hulin Kuang, Jianxin Wang

Comput. Biol. Medicine, June, 2023

A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer.

Hailin Yue, Jin Liu, Hulin Kuang, Jianhong Cheng, Junjian Li, Jianxin Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation.

Chenhui Wang, Hulin Kuang, Jin Liu, Junjian Li, Hailin Yue, Jianxin Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading.

Jianhong Cheng, Min Gao, Jin Liu, Hailin Yue, Hulin Kuang, Jun Liu, Jianxin Wang

IEEE J. Biomed. Health Informatics, 2022

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images.

Jianhong Cheng, Wei Zhao, Jin Liu, Xingzhi Xie, Shangjie Wu, Liangliang Liu, Hailin Yue, Junjian Li, Jianxin Wang, Jun Liu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images.

Jianhong Cheng, Jin Liu, Hailin Yue, Harrison X. Bai, Yi Pan, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.

Hailin Yue, Jin Liu, Junjian Li, Hulin Kuang, Jinyi Lang, Jianhong Cheng, Lin Peng, Yongtao Han, Harrison X. Bai, Yu-Ping Wang, Qifeng Wang, Jianxin Wang

Medical Image Anal., 2022

DARC: Deep adaptive regularized clustering for histopathological image classification.

Junjian Li, Jin Liu, Hailin Yue, Jianhong Cheng, Hulin Kuang, Harrison X. Bai, Yu-Ping Wang, Jianxin Wang

Medical Image Anal., 2022

Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension.

Shuyue Liu, Junwen Duan, Feng Gong, Hailin Yue, Jianxin Wang

Proceedings of the Bioinformatics Research and Applications - 18th International Symposium, 2022

2021

Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations.

Jianhong Cheng, Jin Liu, Meilin Jiang, Hailin Yue, Lin Wu, Jianxin Wang

Proceedings of the IEEE International Conference on Acoustics, 2021