Shao, Yingxia

10 publications

IJCAI 2025 CSAHFL: Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-Layer Non-IID in Heterogeneous Edge Computing Networks Aijing Li, Junping Du, Dandan Liu, Yingxia Shao, Tong Zhao, Guanhua Ye

ICLR 2025 Making Text Embedders Few-Shot Learners Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, Zheng Liu

AAAI 2025 Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning Jia Wang, Yawen Li, Yingxia Shao, Zhe Xue, Zeli Guan, Ang Li, Guanhua Ye

NeurIPS 2025 Towards a Generalist Code Embedding Model Based on Massive Data Synthesis Chaofan Li, Jianlyu Chen, Yingxia Shao, Defu Lian, Zheng Liu

AAAI 2024 LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie

ECML-PKDD 2024 SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training Xizhi Gu, Hongzheng Li, Shihong Gao, Xinyan Zhang, Lei Chen, Yingxia Shao

IJCAI 2023 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao

ICML 2020 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui

AAAI 2020 Efficient Automatic CASH via Rising Bandits Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui

AAAI 2019 Towards Reliable Learning for High Stakes Applications Jinyang Gao, Junjie Yao, Yingxia Shao