Qu, Zhe

11 publications

AAAI 2025 How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? Wenjun Ding, Ying An, Lixing Chen, Shichao Kan, Fan Wu, Zhe Qu

NeurIPS 2025 On the Stability and Generalization of Meta-Learning: The Impact of Inner-Levels Wenjun Ding, Jingling Liu, Lixing Chen, Xiu Su, Tao Sun, Fan Wu, Zhe Qu

IJCAI 2025 Stability and Generalization for Stochastic (Compositional) Optimizations Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu

ICML 2025 Stable Fair Graph Representation Learning with Lipschitz Constraint Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu

ICML 2025 TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging Chuang Liu, Hongyan Xu, Yichao Cao, Xiu Su, Zhe Qu, Tianfa Li, Shan An, Haogang Zhu

AAAI 2024 Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu

ICML 2024 Stability and Generalization for Stochastic Recursive Momentum-Based Algorithms for (Strongly-)Convex One to $k$-Level Stochastic Optimizations Xiaokang Pan, Xingyu Li, Jin Liu, Tao Sun, Kai Sun, Lixing Chen, Zhe Qu

AAAI 2024 What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou

CVPR 2023 How to Prevent the Poor Performance Clients for Personalized Federated Learning? Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen

JMLR 2022 D-GCCA: Decomposition-Based Generalized Canonical Correlation Analysis for Multi-View High-Dimensional Data Hai Shu, Zhe Qu, Hongtu Zhu

ICML 2022 Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu, Xingyu Li, Rui Duan, Yao Liu, Bo Tang, Zhuo Lu