Towards Out-Of-Distribution Generalization: A Survey. - Zheyan Shen; Jiashuo Liu; Yue He 001; Xingxuan Zhang; Renzhe Xu; Han Yu 009; Peng Cui 001 (CoRR, 2021)

NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. - Xingxuan Zhang; Yue He 001; Tan Wang; Jiaxin Qi; Han Yu 009; Zimu Wang; Jie Peng; Renzhe Xu; Zheyan Shen; Yulei Niu; Hanwang Zhang; Peng Cui 001 (ECCV Workshops (6), 2022)

Stable Learning via Sparse Variable Independence. - Han Yu 009; Peng Cui 001; Yue He 001; Zheyan Shen; Yong Lin; Renzhe Xu; Xingxuan Zhang (AAAI, 2023)

NICO++: Towards Better Benchmarking for Domain Generalization. - Xingxuan Zhang; Yue He 001; Renzhe Xu; Han Yu 009; Zheyan Shen; Peng Cui 001 (CVPR, 2023)

Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. - Xingxuan Zhang; Renzhe Xu; Han Yu 009; Hao Zou 001; Peng Cui 001 (CVPR, 2023)

Flatness-Aware Minimization for Domain Generalization. - Xingxuan Zhang; Renzhe Xu; Han Yu 009; Yancheng Dong; Pengfei Tian; Peng Cui 001 (ICCV, 2023)

Meta Adaptive Task Sampling for Few-Domain Generalization. - Zheyan Shen; Han Yu 009; Peng Cui 001; Jiashuo Liu; Xingxuan Zhang; Linjun Zhou; Furui Liu (CoRR, 2023)

Rethinking the Evaluation Protocol of Domain Generalization. - Han Yu 009; Xingxuan Zhang; Renzhe Xu; Jiashuo Liu; Yue He 001; Peng Cui 001 (CVPR, 2024)

Domain-wise Data Acquisition to Improve Performance under Distribution Shift. - Yue He 001; Dongbai Li; Pengfei Tian; Han Yu 009; Jiashuo Liu; Hao Zou 001; Peng Cui 001 (ICML, 2024)

A Survey on Evaluation of Out-of-Distribution Generalization. - Han Yu 009; Jiashuo Liu; Xingxuan Zhang; Jiayun Wu; Peng Cui 001 (CoRR, 2024)

Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study. - Xingxuan Zhang; Haoran Wang; Jiansheng Li; Yuan Xue; Shikai Guan; Renzhe Xu; Hao Zou 001; Han Yu 009; Peng Cui 001 (ICLR, 2025)

Error Slice Discovery via Manifold Compactness. - Han Yu 009; Jiashuo Liu; Hao Zou 001; Renzhe Xu; Yue He 001; Xingxuan Zhang; Peng Cui 001 (CoRR, 2025)

Sample Weight Averaging for Stable Prediction. - Han Yu 009; Yue He 001; Renzhe Xu; Dongbai Li; Jiayin Zhang; Wenchao Zou; Peng Cui 001 (CoRR, 2025)