Zekang Yang

12 papers A* 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
PA-MIL: Phenotype-Aware Multiple Instance Learning Guided by Language Prompting and Genotype-to-Phenotype Relationships.
CoRR
Zekang Yang, Hong Liu, Xiangdong Wang
2025 A* conf
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks.
AAAI
Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu
2025 A* conf
NADER: Neural Architecture Design via Multi-Agent Collaboration.
CVPR
Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu
2024 — conf
A Multimodal Adaptive Cooperative Learning Framework for Cancer Survival Risk Prediction.
MCHM@MM
Zekang Yang, Hong Liu, Xiangdong Wang
2024 J jnl
A Multimodal Object-level Contrast Learning Method for Cancer Survival Risk Prediction.
CoRR
Zekang Yang, Hong Liu, Xiangdong Wang
2024 J jnl
AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge.
IEEE Trans. Medical Imaging
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, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
2024 J jnl
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks.
CoRR
Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu
2024 J jnl
NADER: Neural Architecture Design via Multi-Agent Collaboration.
CoRR
Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu
2024 — conf
SCMIL: Sparse Context-Aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images.
MICCAI (4)
Zekang Yang, Hong Liu, Xiangdong Wang
2024 J jnl
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images.
CoRR
Zekang Yang, Hong Liu, Xiangdong Wang
2023 J jnl
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge.
CoRR
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, Gustavo Carneiro, Devika R. G, Hrishikesh P. S, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez
2022 — conf
Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors.
CMMCA@MICCAI
Menglei Jiao, Hong Liu, Zekang Yang, Shuai Tian, Hanqiang Ouyang, Yuan Li, Yuan Yuan, Jianfang Liu, Chunjie Wang, Ning Lang, Liang Jiang, Huishu Yuan, Yueliang Qian, Xiangdong Wang