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Shaoan Xie
Title
Cited by
Cited by
Year
Learning semantic representations for unsupervised domain adaptation
S Xie, Z Zheng, L Chen, C Chen
ICML2018, 2018
5592018
Smartbrush: Text and shape guided object inpainting with diffusion model
S Xie, Z Zhang, Z Lin, T Hinz, K Zhang
CVPR2023, Highlight, 2023
882023
Partial disentanglement for domain adaptation
L Kong, S Xie, W Yao, Y Zheng, G Chen, P Stojanov, V Akinwande, ...
ICML2022, 2022
382022
Unaligned image-to-image translation by learning to reweight
S Xie, M Gong, Y Xu, K Zhang
ICCV2021, 2021
222021
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
Y Xu, S Xie, W Wu, K Zhang, M Gong, K Batmanghelich
CVPR2022, 2022
212022
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation
Y Xu, S Xie, M Reynolds, M Ragoza, M Gong, K Batmanghelich
MICCAI2022, 2022
132022
Multi-domain image generation and translation with identifiability guarantees
S Xie, L Kong, M Gong, K Zhang
ICLR2023, Spotlight, 0
12*
Unsupervised image-to-image translation with density changing regularization
S Xie, Q Ho, K Zhang
NeuIPS2022, 2022
112022
Digging into it: Community detection via hidden attributes analysis
R Li, F Ye, S Xie, C Chen, Z Zheng
Neurocomputing 331, 97-107, 2019
72019
DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models
S Xie, Y Zhao, Z Xiao, KCK Chan, Y Li, Y Xu, K Zhang, T Hou
arXiv preprint arXiv:2312.03771, 2023
52023
Box-adapt: Domain-adaptive medical image segmentation using bounding boxsupervision
Y Xu, M Gong, S Xie, K Batmanghelich
arXiv preprint arXiv:2108.08432, 2021
52021
Semi-Implicit Denoising Diffusion Models (SIDDMs)
Y Xu, M Gong, S Xie, W Wei, M Grundmann, T Hou
NeurIPS2023, 2023
42023
Emerging synergies in causality and deep generative models: A survey
G Zhou, S Xie, G Hao, S Chen, B Huang, X Xu, C Wang, L Zhu, L Yao, ...
arXiv preprint arXiv:2301.12351, 2023
42023
Unpaired Image-to-Image Translation With Shortest Path Regularization
S Xie, Y Xu, M Gong, K Zhang
CVPR2023, 2023
32023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
M Gong, S Xie, W Wei, M Grundmann, K Batmanghelich, T Hou
Advances in Neural Information Processing Systems 36, 2024
12024
Causal Representation Learning from Multiple Distributions: A General Setting
K Zhang, S Xie, I Ng, Y Zheng
arXiv preprint arXiv:2402.05052, 2024
12024
Unpaired Image-to-Image Translation with Density Changing Regularization
S Xie, Q Ho, K Zhang
12022
Revealing Hidden Causal Variables and Latent Factors from Multiple Distributions
K Zhang, S Xie, I Ng, Y Zheng
2023
Advancing Counterfactual Inference through Quantile Regression
S Xie, B Huang, B Gu, T Liu, K Zhang
arXiv preprint arXiv:2306.05751, 2023
2023
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Articles 1–19