Hi there 👋

I’m a PhD student at Department of Computer Science and Technology, Tsinghua University

My research interest includes Computer Vision, Medical Image Analysis, AI4Science, Brain-inspired AI, LLM Agents, XAI, and AutoML.

📝 Publications

🤖 Large Language Model

• CVPR 2025 NADER: Neural Architecture Design via Multi-Agent Collaboration, Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu. | Project |

• AAAI 2025 AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks, Zekang Yang, Wang Zeng, Sheng Jin, Chen Qian, Ping Luo, Wentao Liu. |

🩻 Medical Image Analysis

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

• MM 2024 workshop A Multimodal Adaptive Cooperative Learning Framework for Cancer Survival Risk Prediction, Zekang Yang, Hong Liu, Xiangdong Wang.

• MICCAI 2022 workshop Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors, Menglei Jiao, Hong Liu, Zekang Yang, et al.