Jiali Yin — accepted AI-conference papers

2025

Strategy-Architecture Synergy: A Multi-View Graph Contrastive Paradigm for Consistent Representations

Shuman Zhuang, Zhihao Wu, Yuhong Chen, Zihan Fang, Jiali Yin, Ximeng Liu

IJCAI 2025

Facing the growing diversity of multi-view data, multi-view graph-based models have made encouraging progress in handling multi-view data modeled as graphs. Graph Contrastive Learning (GCL) naturally fits multi-view graph data by treating their inherent views as augmentations. However, the developme

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2023

An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability

Bin Chen, Jiali Yin, Shukai Chen, Bohao Chen, Ximeng Liu

ICCV 2023poster

While the transferability property of adversarial examples allows the adversary to perform black-box attacks i.e., the attacker has no knowledge about the target model), the transfer-based adversarial attacks have gained great attention. Previous works mostly study gradient variation or image transf…

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