Wang, Feiyang

8 publications

AAAI 2025 ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen

UAI 2025 RDI: An Adversarial Robustness Evaluation Metric for Deep Neural Networks Based on Model Statistical Features Jialei Song, Xingquan Zuo, Feiyang Wang, Hai Huang, Tianle Zhang

ICML 2025 TtBA: Two-Third Bridge Approach for Decision-Based Adversarial Attack Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen

CVPRW 2025 VisionCube: 3D-Aware Vision-Language Model for Multi-Step Spatial Reasoning Feiyang Wang, Nan Luo, Wangyu Wu

AAAI 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu

IJCAI 2023 CONGREGATE: Contrastive Graph Clustering in Curvature Spaces Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu

AAAI 2023 Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu

AAAI 2021 Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu