Yi Shi

According to our database, Yi Shi authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

Understanding and tackling the modality imbalance problem in multimodal survival prediction.

Chicheng Zhou, Minghui Wang, Yi Shi, Anli Zhang, Ao Li

Pattern Recognit., 2026

2025

Agnostic-Specific Modality Learning for Cancer Survival Prediction From Multiple Data.

Honglei Liu, Yi Shi, Ying Xu, Ao Li, Minghui Wang

IEEE J. Biomed. Health Informatics, September, 2025

MIF: Multi-Shot Interactive Fusion Model for Cancer Survival Prediction Using Pathological Image and Genomic Data.

Yi Shi, Minghui Wang, Honglei Liu, Fang Zhao, Ao Li, Xun Chen

IEEE J. Biomed. Health Informatics, May, 2025

2024

Multi-modal fusion network with intra- and inter-modality attention for prognosis prediction in breast cancer.

Honglei Liu, Yi Shi, Ao Li, Minghui Wang

Comput. Biol. Medicine, January, 2024

2023

Local augmentation based consistency learning for semi-supervised pathology image classification.

Lei Su, Zhi Wang, Yi Shi, Ao Li, Minghui Wang

Comput. Methods Programs Biomed., April, 2023

CAMR: cross-aligned multimodal representation learning for cancer survival prediction.

Xingqi Wu, Yi Shi, Minghui Wang, Ao Li

Bioinform., January, 2023

Cancer Survival Prediction by Multimodal Disentangled Representation Learning.

Ying Xu, Honglei Liu, Yi Shi, Ao Li, Minghui Wang

Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

2022

Multi-Dimensional Feature Combination Method for Continuous Blood Pressure Measurement Based on Wrist PPG Sensor.

Pan Yao, Ning Xue, Siyuan Yin, Changhua You, Yusen Guo, Yi Shi, Tiezhu Liu, Lei Yao, Jun Zhou, Jianhai Sun, Cheng Dong, Chunxiu Liu, Ming Zhao

IEEE J. Biomed. Health Informatics, 2022

Learning Comprehensive Multimodal Representation for Cancer Survival Prediction.

Xingqi Wu, Yi Shi, Honglei Liu, Ao Li, Minghui Wang

Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022