Jie Xiao 肖杰

Ph.D. Candidate

Email: ustchbxj@mail.ustc.edu.cn

School of Data Science

University of Science and Technology of China (USTC)

[Google Scholar] [Github]

News

2024.01, One paper (DreamClean) is accepted by ICLR, 2024.

2023.04, One paper is accepted by ICML, 2023.

2023.02, One paper is accepted by CVPR, 2023.

2023.01, One paper is accepted by TPAMI.

Biography

I am currently a first-year Ph.D. candidate in School of Data Science, University of Science and Technology of China, advised by Prof. Zheng-Jun Zha and Asst. Prof. Xueyang Fu. My research mainly focuses on generative model and low-level vision

Honors & Scholarship

National Scholarship

2022
First-Class Scholarship of USTC

2022
First-Class Scholarship of USTC

2021
First-Class Scholarship of USTC

2020
ZengHua Scholarship

2019

Publications

@inproceedings{xiao2023random,
  title={Random Shuffle Transformer for Image Restoration},
  author={Xiao, Jie and Fu, Xueyang and Zhou, Man and Liu, Hongjian and Zha, Zheng-Jun},
  booktitle={International Conference on Machine Learning},
  year={2023},
  organization={PMLR}}

@ARTICLE{10035447,
  author={Fu, Xueyang and Xiao, Jie and Zhu, Yurui and Liu, Aiping and Wu, Feng and Zha, Zheng-Jun},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  title={Continual Image Deraining with Hypergraph Convolutional Networks},
  year={2023},
  volume={},
  number={},
  pages={1-17},
  doi={10.1109/TPAMI.2023.3241756}}

@inproceedings{
xiao2022stochastic,
title={Stochastic Window Transformer for Image Restoration},
author={Jie Xiao and Xueyang Fu and Feng Wu and Zheng-Jun Zha},
booktitle={Advances in Neural Information Processing Systems},
editor={Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},
year={2022},
url={https://openreview.net/forum?id=0ucMtEKCihU}
}

@ARTICLE{9798773,
  author={Xiao, Jie and Fu, Xueyang and Liu, Aiping and Wu, Feng and Zha, Zheng-Jun},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  title={Image De-raining Transformer},
  year={2022},
  volume={},
  number={},
  pages={1-18},
  doi={10.1109/TPAMI.2022.3183612}}

@inproceedings{feng2022principled,
  title={Principled Knowledge Extrapolation with GANs},
  author={Feng, Ruili and Xiao, Jie and Zheng, Kecheng and Zhao, Deli and Zhou, Jingren and Sun, Qibin and Zha, Zheng-Jun},
  booktitle={International Conference on Machine Learning},
  pages={6447--6464},
  year={2022},
  organization={PMLR}
}

@INPROCEEDINGS{9710011,
  author={Xiao, Jie and Zhou, Man and Fu, Xueyang and Liu, Aiping and Zha, Zheng-Jun},
  booktitle={2021 IEEE/CVF International Conference on Computer Vision (ICCV)},
  title={Improving De-raining Generalization via Neural Reorganization},
  year={2021},
  volume={},
  number={},
  pages={4967-4976},
  doi={10.1109/ICCV48922.2021.00494}}

@INPROCEEDINGS{9577362,
  author={Zhou, Man and Xiao, Jie and Chang, Yifan and Fu, Xueyang and Liu, Aiping and Pan, Jinshan and Zha, Zheng-Jun},
  booktitle={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  title={Image De-raining via Continual Learning},
  year={2021},
  volume={},
  number={},
  pages={4905-4914},
  doi={10.1109/CVPR46437.2021.00487}}

CCM: Adding Conditional Controls to Text-to-Image Consistency Models
[Project Page][Report]

Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Yu Liu, Xueyang Fu, Zheng-Jun Zha.

Random Shuffle Transformer for Image Restoration
[Code][PDF][BibTex]

Jie Xiao, Xueyang Fu, Man Zhou, Hongjian Liu, Zheng-Jun Zha.

International Conference on Machine Learning (ICML), 2023.

Continual Image Deraining with Hypergraph Convolutional Networks
[Code][PDF][BibTex]

Xueyang Fu, Jie Xiao, Yurui, Zhu, Aiping Liu, Feng Wu, Zheng-Jun Zha.

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

Stochastic Window Transformer for Image Restoration
[Code][PDF][BibTex]

Jie Xiao, Xueyang Fu, Feng Wu, Zheng-Jun Zha.

Neural Information Processing Systems (NeurIPS), 2022. (Spotlight)

Image Deraining Transformer
[Code][PDF][BibTex]

Jie Xiao, Xueyang Fu, Aiping Liu, Feng Wu, Zheng-Jun Zha.

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

Principled Knowledge Extrapolation with GANs
[Code][PDF][BibTex]

Ruili Feng, Jie Xiao, Kecheng Zheng, Deli Zhao, Jingren Zhou, Qibin Sun, Zheng-Jun Zha.

International Conference on Machine Learning (ICML), 2022. (Spotlight)

Improving De-raining Generalization via Neural Reorganization
[Code][PDF][BibTex]

Jie Xiao, Man Zhou, Xueyang Fu, Aiping Liu, Zheng-Jun Zha.

International Conference on Computer Vision (ICCV), 2021.

Image De-raining via Continual Learning
[Code][PDF][BibTex]

Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha.

Computer Vision and Pattern Recognition (CVPR), 2021.

Internship Experience

ALIBABA DAMO ACADEMY

Mar. 2023 – Present

Research Intern
Topic: Generative Model