Chen, Lixing

9 publications

NeurIPS 2025 Can LLMs Correct Themselves? a Benchmark of Self-Correction in LLMs Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun

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

ECCV 2024 Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack Mingyu Yang, Daizong Liu, Keke Tang, Pan Zhou, Lixing Chen, Junyang Chen

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

NeurIPS 2018 Contextual Combinatorial Multi-Armed Bandits with Volatile Arms and Submodular Reward Lixing Chen, Jie Xu, Zhuo Lu