Lijun Guo — accepted AI-conference papers

2026

LogicFusion: Differentiable Logical Rule Learning for Cancer Driver Gene Identification

Bang Chen, Lijun Guo, Wentao He, Guang Cao, Rong Zhang

IJCAI 2026

Identifying cancer driver genes (CDGs) requires integrating heterogeneous biological networks, each encoding distinct mechanistic insights into tumorigenesis. Existing multi-network methods typically fuse views at the feature level or enforce uniform representations, which obscures network-specific

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2024

Progressive Learning Based Knowledge Distillation for Low Resolution Cerebral Microbleed Segmentation

Tianxiang Xia, Rong Zhang, Zhenzuo Chen, Guomin Xie, Xiping Wu, Zhongyue Lv +1

ICASSP 2024accepted

This study aims to address key technical issues in the segmentation of Cerebral MicroBleeds (CMBs) based on Low-Resolution (LR) Magnetic Resonance Imaging (MRI) data. There are two challenges in this task. First, the CMB lesions are typically small in size and easily confused with various mimics. Se…

Cited by 1 Source ↗Scholar ↗