Yuhang Mao — accepted AI-conference papers

2026

BiPA: Bilevel Prompt Adaptation for Underwater Instance Segmentation

Long Ma, Haoze Zheng, Yuhang Mao, Jinyuan Liu, Chengpei Xu, Xinwei Xue +3

CVPR 2026

Underwater instance segmentation is essential for fine-grained scene understanding. However, underwater imagery exhibits a strong domain gap from in-air vision due to severe degradation (e.g., turbidity). Consequently, despite its general segmentation ability, SAM degrades sharply underwater. In thi

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2025

MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation

Chengyi Li, Zhiyuan Jiang, Yongjun Wang, Tian Xia, Yayuan Zhang, Yuhang Mao

IJCAI 2025

Static malware detectors based on machine learning are integral to contemporary antivirus systems, but they are vulnerable to adversarial attacks. While existing research has demonstrated success with adversarial attacks in black-box hard-label scenarios, challenges such as high perturbation rates a

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