Wang, Fangxin

7 publications

ICLR 2026 RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Xue Liu, Irwin King, Philip S. Yu

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