Wang, Fangxin

6 publications

ICLR 2025 BANGS: Game-Theoretic Node Selection for Graph Self-Training Fangxin Wang, Kay Liu, Sourav Medya, Philip S. Yu
AAAI 2025 Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning Xianda Wang, Yaqi Qiao, Duo Wu, Chenrui Wu, Fangxin Wang
LoG 2025 Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu
NeurIPS 2025 Topology-Aware Conformal Prediction for Stream Networks Jifan Zhang, Fangxin Wang, Zihe Song, Philip S. Yu, Kaize Ding, Shixiang Zhu
TMLR 2024 Uncertainty in Graph Neural Networks: A Survey Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu
NeurIPS 2023 Equal Opportunity of Coverage in Fair Regression Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S Yu