Shen, Xinwei

5 publications

ICLRW 2025 Representation Learning for Distributional Perturbation Extrapolation Julius von Kügelgen, Xinwei Shen, Jakob Ketterer, Nicolai Meinshausen, Jonas Peters

AAAI 2023 Covariate-Shift Generalization via Random Sample Weighting Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui

UAI 2022 Reframed GES with a Neural Conditional Dependence Measure Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen

JMLR 2022 Weakly Supervised Disentangled Generative Causal Representation Learning Xinwei Shen, Furui Liu, Hanze Dong, Qing Lian, Zhitang Chen, Tong Zhang

CVPR 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang