Bidirectional Generative Modeling Using Adversarial Gradient Estimation. - Xinwei Shen 002; Tong Zhang 001; Kani Chen (CoRR, 2020)

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. - Mengyue Yang; Furui Liu; Zhitang Chen; Xinwei Shen 002; Jianye Hao; Jun Wang 012 (CoRR, 2020)

Disentangled Generative Causal Representation Learning. - Xinwei Shen 002; Furui Liu; Hanze Dong; Qing Lian; Zhitang Chen; Tong Zhang 001 (CoRR, 2020)

TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation. - Shizhe Diao; Xinwei Shen 002; Kashun Shum; Yan Song 003; Tong Zhang 001 (ACL/IJCNLP (Findings), 2021)

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. - Mengyue Yang; Furui Liu; Zhitang Chen; Xinwei Shen 002; Jianye Hao; Jun Wang 012 (CVPR, 2021)

Reframed GES with a neural conditional dependence measure. - Xinwei Shen 002; Shengyu Zhu 001; Jiji Zhang; Shoubo Hu; Zhitang Chen (UAI, 2022)

Asymptotic Statistical Analysis of f-divergence GAN. - Xinwei Shen 002; Kani Chen; Tong Zhang 001 (CoRR, 2022)

Weakly Supervised Disentangled Generative Causal Representation Learning. - Xinwei Shen 002; Furui Liu; Hanze Dong; Qing Lian; Zhitang Chen; Tong Zhang 001 (J. Mach. Learn. Res., 2022)

Covariate-Shift Generalization via Random Sample Weighting. - Yue He 001; Xinwei Shen 002; Renzhe Xu; Tong Zhang 001; Yong Jiang 001; Wenchao Zou; Peng Cui 001 (AAAI, 2023)

Engression: Extrapolation for Nonlinear Regression? - Xinwei Shen 002; Nicolai Meinshausen (CoRR, 2023)

Model-Agnostic Random Weighting for Out-of-Distribution Generalization. - Yue He 001; Pengfei Tian; Renzhe Xu; Xinwei Shen 002; Xingxuan Zhang; Peng Cui 001 (KDD, 2024)

Distributional Principal Autoencoders. - Xinwei Shen 002; Nicolai Meinshausen (CoRR, 2024)