Shaoan Xie

Orcid: 0000-0003-1003-7459

According to our database1, Shaoan Xie authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Causal Representation Learning from Multiple Distributions: A General Setting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models.
CoRR, 2023

Partial Identifiability for Domain Adaptation.
CoRR, 2023

Advancing Counterfactual Inference through Quantile Regression.
CoRR, 2023

Semi-Implicit Denoising Diffusion Models (SIDDMs).
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-domain image generation and translation with identifiability guarantees.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unpaired Image-to-Image Translation with Shortest Path Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unsupervised Image-to-Image Translation with Density Changing Regularization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Partial disentanglement for domain adaptation.
Proceedings of the International Conference on Machine Learning, 2022

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision.
CoRR, 2021

Unaligned Image-to-Image Translation by Learning to Reweight.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
An overview on smart contracts: Challenges, advances and platforms.
Future Gener. Comput. Syst., 2020

Blockchain for cloud exchange: A survey.
Comput. Electr. Eng., 2020

2019
Digging into it: Community detection via hidden attributes analysis.
Neurocomputing, 2019

2018
Blockchain challenges and opportunities: a survey.
Int. J. Web Grid Serv., 2018

Learning Semantic Representations for Unsupervised Domain Adaptation.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017


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