Yan, Xiao

10 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

IJCAI 2025 Guiding LLM-Based Smart Contract Generation with Finite State Machine Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang, Qiming Zeng, Hao Wang, 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

ICLR 2025 MuseGNN: Forming Scalable, Convergent GNN Layers That Minimize a Sampling-Based Energy Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf

IJCAI 2023 Analyzing and Combating Attribute Bias for Face Restoration Zelin Li, Dan Zeng, Xiao Yan, Qiaomu Shen, Bo Tang

CVPR 2022 Face2Exp: Combating Data Biases for Facial Expression Recognition Dan Zeng, Zhiyuan Lin, Xiao Yan, Yuting Liu, Fei Wang, Bo Tang

AAAI 2020 Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng

AAAI 2020 Understanding and Improving Proximity Graph Based Maximum Inner Product Search Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang

NeurIPS 2018 Norm-Ranging LSH for Maximum Inner Product Search Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng