Yongchang Liu — accepted AI-conference papers

2026

MVRNet: A Multi-View Refinement Network for Accurate Recognition of Challenging Intracranial Aneurysms in Enhanced 3D CTA Images

Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu

IJCAI 2026

Intracranial aneurysms are life-threatening and require accurate, timely detection. Traditional manual diagnosis by radiologists can be subjective, leading to misdiagnoses, while existing deep learning approaches struggle with small aneurysms or cases complicated by surrounding tissues. In this pape

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2023

GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction

Peiying Li, Yongchang Liu, Shikui Tu, Lei Xu

IJCAI 2023poster

Protein binding site prediction is an important prerequisite for the discovery of new drugs. Usually, natural 3D U-Net is adopted as the standard site prediction framework to do per-voxel binary mask classification. However, this scheme only performs feature extraction for single-scale samples, whic…

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