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Shaoan Xie

Ph.D. Student
Carnegie Mellon University
shaoan (at) cmu.edu


Hi! I’m a Phd student at Carnegie Mellon University, advised by Prof. Kun Zhang. I’m interested in machine learning and computer vision from a causal perspective. Specifically, I focus on learning causal representations for controllable generative models.

News

Selected Publications [Google Scholar]

  1. CVPR
    SmartCLIP: Modular Vision-language Alignment with Identification Guarantees
    Shaoan Xie* Lingjing Kong*, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P.Xing, Guangyi Chen, Kun Zhang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. Highlight
  2. AISTATS
    Causal Representation Learning from General Environments under Nonparametric Mixing
    Ignavier Ng, Shaoan Xie, Xingshuai Dong, Peter Spirtes, Kun Zhang
    International Conference on Artificial Intelligence and Statistics(AISTATS), 2025.
    PDF
  3. ICLR
    Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
    Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang
    International Conference on Learning Representations (ICLR), 2025.
    PDF
  4. ICML
    Causal Representation Learning from Multiple Distributions: A General Setting
    Kun Zhang*, Shaoan Xie*, Ignavier Ng*, Yujia Zheng
    International Conference on Machine Learning (ICML), 2024.
    PDF
  5. NeurIPS
    Semi-Implicit Denoising Diffusion Models (SIDDMs)
    Yanwu Xu, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou
    Advances in Neural Information Processing Systems (NeurIPS), 2023.
    PDF
  6. CVPR
    SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model
    Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz and Kun Zhang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. Highlight
    PDF Video Alive in Adobe Photoshop

  7. CVPR
    Unpaired Image-to-Image Translation with Shortest Path Regularization
    Shaoan Xie, Yanwu Xu, Mingming Gong and Kun Zhang
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
    PDF Code Video

  8. ICLR
    Multi-domain Image Generation and Translation with Identifiability Guarantees
    Shaoan Xie, Lingjing Kong, Mingming Gong and Kun Zhang
    International Conference on Learning Representations (ICLR), 2023. Spotlight
    PDF Code

  9. NeurIPS
    Unsupervised Image-to-Image Translation with Density Changing Regularization
    Shaoan Xie, Qirong Ho and Kun Zhang
    Advances in Neural Information Processing Systems (NeurIPS), 2022.
    PDF Code

  10. ICML
    Partial Disentanglement for Domain Adaptation
    Lingjing Kong , Shaoan Xie , Weiran Yao , and Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
    International Conference on Machine Learning (ICML), 2022. Spotlight
    PDF

  11. CVPR
    Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
    Yanwu Xu , Shaoan Xie , Wenhao Wu , and Kun Zhang, Mingming Gong, Kayhan Batmanghelich
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
    PDF Code

  12. MICCAI
    Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation
    Yanwu Xu , Shaoan Xie , Maxwell Reynolds , and Matthew Ragoza, Mingming Gong, Kayhan Batmanghelich
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.
    PDF

  13. ICCV
    Unaligned Image-to-Image Translation by Learning to Reweight
    Shaoan Xie, Mingming Gong, Yanwu Xu and Kun Zhang
    IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
    PDF Code

  14. ICML
    Learning Semantic Representations for Unsupervised Domain Adaptation
    Shaoan Xie, Zibin Zheng , Liang Chen , and Chuan Chen
    International Conference on Machine Learning (ICML), 2018.
    PDF Code

Academic Services

Conference Reviewer:

ICML, Neurips, ICLR, UAI, AISTATS, IJCAI

Journal Reviewer:

TPAMI, AI, CSUR, TNNLS, PR