Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors. - Menglei Jiao; Hong Liu 007; Zekang Yang; Shuai Tian; Hanqiang Ouyang; Yuan Li; Yuan Yuan; Jianfang Liu; Chunjie Wang; Ning Lang; Liang Jiang; Huishu Yuan; et al. (CMMCA@MICCAI, 2022)

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (CoRR, 2023)

A Multimodal Adaptive Cooperative Learning Framework for Cancer Survival Risk Prediction. - Zekang Yang; Hong Liu 007; Xiangdong Wang (MCHM@MM, 2024)

SCMIL: Sparse Context-Aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images. - Zekang Yang; Hong Liu; Xiangdong Wang (MICCAI (4), 2024)

SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images. - Zekang Yang; Hong Liu 007; Xiangdong Wang (CoRR, 2024)

A Multimodal Object-level Contrast Learning Method for Cancer Survival Risk Prediction. - Zekang Yang; Hong Liu; Xiangdong Wang (CoRR, 2024)

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. - Coen de Vente; Koenraad A. Vermeer; Nicolas Jaccard; He Wang; Hongyi Sun; Firas Khader; Daniel Truhn; Temirgali Aimyshev; Yerkebulan Zhanibekuly; Tien-Dung Le; Adrian Galdran; Miguel Ángel González Ballester; et al. (IEEE Trans. Medical Imaging, 2024)

AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks. - Zekang Yang; Wang Zeng; Sheng Jin 007; Chen Qian 006; Ping Luo 002; Wentao Liu 002 (AAAI, 2025)

NADER: Neural Architecture Design via Multi-Agent Collaboration. - Zekang Yang; Wang Zeng; Sheng Jin 007; Chen Qian 006; Ping Luo 002; Wentao Liu 002 (CVPR, 2025)