I am currently a master's student at the Institute of Computing Science, Chinese Academy of Sciences.
My research interest includes computer vision, medical image analysis, LLM Agents, XAI, and AutoML.
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CVPR 2025NADER: Neural Architecture Design via Multi-Agent Collaboration, Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu. -
AAAI 2025AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks, Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu. |
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MICCAI 2024SCMIL: Sparse Context-Aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images, Zekang Yang, Hong Liu, Xiangdong Wang. | -
MM 2024 workshopA Multimodal Adaptive Cooperative Learning Framework for Cancer Survival Risk Prediction, Zekang Yang, Hong Liu, Xiangdong Wang. -
MICCAI 2022 workshopSelf-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors, Menglei Jiao, Hong Liu, Zekang Yang, et al.
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