Jiazhen Yang — accepted AI-conference papers

2026

Cello: A Universal Cell-wise Feature Aggregation framework for Reliable Pathology Images Analysis

Hengrui Lou, Weihan Li, Jiazhen Yang, Lingxiang Jia, Shengxuming Zhang, Linyun Zhou +4

ICML 2026poster

Computational pathology has made progress in diagnosis and prognosis prediction from whole slide images (WSIs), yet pipelines still rely on patch-level feature extraction and aggregation, departing from the cell-centric reasoning used by pathologists. This gap limits sensitivity to micro-lesions and…

Cited by 0 Source ↗Scholar ↗

2024

Improving Adversarial Robustness via Feature Pattern Consistency Constraint

Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu +2

IJCAI 2024poster

Convolutional Neural Networks (CNNs) are well-known for their vulnerability to adversarial attacks, posing significant security concerns. In response to these threats, various defense methods have emerged to bolster the model's robustness. However, most existing methods either focus on learning from…

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