📝 Publications
🧠 AI & Neuroscience
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NeurIPS 2026CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy, Zekang Yang, Jiamin Li, Zhenghua Li, Jiaqi Fan, Zengcai Guo, Xiaolin Hu. | -
NeurIPS 2026BrainEM: A Large-Scale and Diverse Benchmark for EM Neuron Segmentation in Connectomics, Zhenghua Li, Lanyue Zhang, Zekang Yang, Kai Li, Yuwei Peng, Song-Hai Shi, Xiaolin Hu. |
🤖 Large Language Model
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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. | Project | -
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. |
🩻 Medical Image Analysis
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PA-MIL: Phenotype-Aware Multiple Instance Learning Guided by Language Prompting and Genotype-to-Phenotype Relationships, Zekang Yang, Hong Liu, Xiangdong Wang. |
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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.
