Shen, Zheyan

11 publications

CVPR 2023 NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui

AAAI 2023 Stable Learning via Sparse Variable Independence Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang

ICML 2022 A Theoretical Analysis on Independence-Driven Importance Weighting for Covariate-Shift Generalization Renzhe Xu, Xingxuan Zhang, Zheyan Shen, Tong Zhang, Peng Cui

ECCVW 2022 NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui

CVPR 2022 Towards Unsupervised Domain Generalization Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu

CVPR 2021 Deep Stable Learning for Out-of-Distribution Generalization Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen

ICML 2021 Heterogeneous Risk Minimization Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

NeurIPS 2021 Integrated Latent Heterogeneity and Invariance Learning in Kernel Space Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

AAAI 2021 Stable Adversarial Learning Under Distributional Shifts Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

NeurIPS 2020 Counterfactual Prediction for Bundle Treatment Hao Zou, Peng Cui, Bo Li, Zheyan Shen, Jianxin Ma, Hongxia Yang, Yue He

AAAI 2020 Stable Learning via Sample Reweighting Zheyan Shen, Peng Cui, Tong Zhang, Kun Kuang