Xu, Quanqing

5 publications

IJCAI 2025 Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-Attributed Graph Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang

AAAI 2025 HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang

IJCAI 2025 Model Rake: A Defense Against Stealing Attacks in Split Learning Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang

AAAI 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui

AAAI 2024 Learning Diffusions Under Uncertainty Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang