Yingli Zuo

According to our database, Yingli Zuo authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

TAFL: Task-Agnostic Feature Learner for Efficient Adaptation to Unseen Clinical Tasks Based on Whole-Slide Histopathological Images.

Yingli Zuo, Lianyu Wang, Jianxin Liu, Shichang Feng, Yulin Wang, Qi Zhu, Wei Shao, Daoqiang Zhang

IEEE Trans. Medical Imaging, November, 2025

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning.

Junjie Zhou, Yingli Zuo, Feng Shi, Peng Wan, Qi Zhu, Daoqiang Zhang, Wei Shao

CoRR, July, 2025

Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder.

Junjie Zhou, Jiao Tang, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao

CoRR, March, 2025

AcZeroTS: Active Learning for Zero-Shot Tissue Segmentation in Pathology Images.

Jiao Tang, Junjie Zhou, Bo Qian, Peng Wan, Yingli Zuo, Wei Shao, Daoqiang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder.

Junjie Zhou, Jiao Tang, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Multi-Instance Multi-Task Learning for Joint Clinical Outcome and Genomic Profile Predictions From the Histopathological Images.

Wei Shao, Hang Shi, Jianxin Liu, Yingli Zuo, Liang Sun, Tiansong Xia, Wanyuan Chen, Peng Wan, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, June, 2024

Characterizing the Histology Spatial Intersections Between Tumor-Infiltrating Lymphocytes and Tumors for Survival Prediction of Cancers Via Graph Contrastive Learning.

Yangyang Shi, Qi Zhu, Yingli Zuo, Peng Wan, Daoqiang Zhang, Wei Shao

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2023

Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data.

Wei Shao, Yingli Zuo, Yangyang Shi, Yawen Wu, Jiao Tang, Junyong Zhao, Liang Sun, Zixiao Lu, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, October, 2023

FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers.

Wei Shao, Jianxin Liu, Yingli Zuo, Shile Qi, Honghai Hong, Jianpeng Sheng, Qi Zhu, Daoqiang Zhang

IEEE Trans. Medical Imaging, September, 2023

Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors.

Yawen Wu, Yingli Zuo, Qi Zhu, Jianpeng Sheng, Daoqiang Zhang, Wei Shao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Identify Consistent Imaging Genomic Biomarkers for Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors.

Yingli Zuo, Yawen Wu, Zixiao Lu, Qi Zhu, Kun Huang, Daoqiang Zhang, Wei Shao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Integrative Analysis of Multi-view Histopathological Image Features for the Diagnosis of Lung Cancer.

Zongxiang Pei, Yingli Zuo, Liang Sun, Meiling Wang, Daoqiang Zhang, Wei Shao

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022