Biography

Xiao Wu（吴潇） is currently pursuing the Ph.D. degree in mathematics (supervised by Prof. Ting-Zhu Huang and Prof. Liang-Jian Deng) with the School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC), Chengdu, China. Now, I also have the privilege of working remotely with Prof. Xue-Cheng Tai. I welcome any kind of collaboration. Let’s do it just for fun!

I’m seeking research internship opportunities or positions as a Ph.D. visiting student beginning September 2024. Please reach out if you have any openings that I might be a fit for.

Email： wxwsx1997@gmail.com  Github： https://github.com/XiaoXiao-Woo  
Google Scholar： Xiao Wu  WeChat: elseting

Download my resumé.

Research Interest

Deep Learning and Mathematics

• Machine Learning (Deep Learning) and Optimization
  • Deep Plug-and-Play, deep unfolding, deep equilibrium model, and self-supervised learning
  • Neural operator (e.g., implicit neural representation, physics-informed neural network, and neural ordinary differential equation)
• Optimization (e.g., imaging inverse problem, tensor learning, and sparse representation)
• Computer Vision and Image Processing
  • Image enhancement, fusion, super-resolution, and restoration
  • Generative models: GAN, Flow, DDPM, and SDE
  • Medical image analysis

News

• July 2024: The first edition of Hyperspectral and mutispectral image Fusion Toolbox has been released has been released!
• July 2024: Our paper A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion have been accepted by ACM MM 2024!
• May 2024: Our paper SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening is currently under review at NeurIPS 2024!
• Mar. 2024: Our paper Exploring the Low-Pass Filtering Behavior in Image Super-Resolution has been accepted by ICML 2024!
• Feb. 2024: Our paper Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening has been accepted by CVPR 2024!

Projects

• Pytorch Toolbox
  • UDL-VIS (A unified AutoDL framework for computer vision)
    • Faster library loading speed based on reflection mechanism
    • UDL is based on MMCV which provides various functionalities
    • UDL is based on NNI to perform automatic machine learning
    • UDL provides distributed training based on Accerlerate (huggingface) and Pytorch implementation
  • PanCollection (Public remote sensing image pansharpening dataset and toolbox
  • Image deraining
  • Multi-source image fusion (Multispectral-visible, multispectral-hyperspectral, visible-infrared image fusion) is coming soon
    • The first edition has been released
• MATLAB Toolbox
  • Tensor decomposition
    • The complete version will be released with benchmark for tensor completion tasks
  • Toolbox for multi-source image fusion benchmark is coming soon

Publications

Accepted & Preprint

• Zihan Cao¹, Xiao Wu¹, Liang-Jian Deng*, Yu Zhong. A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion. Proceedings of the ACM International Conference on Multimedia (ACM MM), 2024.
  [pdf] [BibTeX] [Code is coming soon] (¹ denotes the equal contribution)

• Yule Duan¹, Xiao Wu¹, Haoyu Deng, Liang-Jian Deng*. Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  [pdf] [BibTeX] [Code]

@ARTICLE{duancvpr2024,
title={Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening},
author={Yule Duan, Xiao Wu, Haoyu Deng, Liang-Jian Deng*},
journal={IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)},
volume={},
number={},
pages={},
year={2024},
doi={}
}

• Xiao Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Tian-Jing Zhang. A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining. International Joint Conferences on Artificial Intelligence (IJCAI), 2022. (Long Oral, 3.7%)
  [pdf] [BibTeX] [Code]

@ARTICLE{wuijcai2022,
	author={X. Wu, T.-Z. Huang, L.-J. Deng, and T.-J. Zhang},
	journal={International Joint Conferences on Artificial Intelligence (IJCAI)}, 
	title={A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining}, 
	year={2022},
	volume={},
	number={},
	pages={1474-1480},
	doi={10.24963/ijcai.2022/205}
   }

• Xiao Wu, Ting-Zhu Huang*, Liang-Jian Deng*, Tian-Jing Zhang. Dynamic Cross Feature Fusion for Remote Sensing Pansharpening. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (Poster) [pdf] [supp] [BibTeX] [Code]

@InProceedings{Wu_2021_ICCV,    author    = {Wu, Xiao and Huang, Ting-Zhu and Deng, Liang-Jian and Zhang, Tian-Jing},    
title     = {Dynamic Cross Feature Fusion for Remote Sensing Pansharpening},    
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},    
month     = {October},    
year      = {2021},    
pages     = {14687-14696} }

• Yucheng Shu, Xiao Wu, Weisheng Li. LVC-Net: Medical image segmentation with noisy label based on local visual cues. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI, first author (excluding supervisor)), 2019. (Early Accept)
  [pdf] [BibTeX]

@InProceedings{LVC-Net,
author="Shu, Yucheng
and Wu, Xiao
and Li, Weisheng",,
title="LVC-Net: Medical Image Segmentation with Noisy Label Based on Local Visual Cues",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2019",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="558--566",
}

• Haoyu Deng, Zijing Xu, Yule Duan, Xiao Wu, Wen-Jie Shu, Liang-Jian Deng*. Exploring the Low-Pass Filtering Behavior in Image Super-Resolution. International Conference on Machine Learning (ICML), 2024.
  [pdf] [BibTeX] [Code]

• Zihan Cao, Xiao Wu, Liang-Jian Deng*. Neural Shr" odinger Bridge Matching for Pansharpening. Arxiv, 2024.
  [pdf] [BibTeX]

@article{cao2024,
  title={Neural $Shr\" odinger$ Bridge Matching for Pansharpening},
  author={Zihan Cao, Xiao Wu, Liang-Jian Deng*},
  journal={arXiv preprint arXiv:2404.11416},
  year={2024}
}

• Wen-Jie Shu, Hong-Xia Dou*, Rui Wen, Xiao Wu, Liang-Jian Deng. CMT: Cross Modulation Transformer with Hybrid Loss for Pansharpening. IEEE Geoscience and Remote Sensing Letters (GRSL), 2024.
  [pdf] [BibTeX]

• Ran Ran, Liang-Jian Deng*, Xiao Wu, Tian-Jing Zhang, Jian-Long Chang Qi-Tian. KNLConv: Kernel-space Non-local Convolution for Hyperspectral Image Super-resolution. IEEE Transactions on Multimedia (TMM), 2024.
  [pdf] [BibTeX] [Code]

@article{ran2024knlconv,
  title={KNLConv: Kernel-space non-local convolution for hyperspectral image super-resolution},
  author={Ran, Ran and Deng, Liang-Jian and Zhang, Tian-Jing and Chang, Jianlong and Wu, Xiao and Tian, Qi},
  journal={IEEE Transactions on Multimedia},
  year={2024},
  publisher={IEEE}
}

• Zihan Cao, Shiqi Cao, Liang-Jian Deng*, Xiao Wu, Junming Hou, Gemine Vivone. Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images. Information Fusion, 2023.
  [pdf] [BibTeX] [Code]

@article{cao2024diffusion,
  title={Diffusion model with disentangled modulations for sharpening multispectral and hyperspectral images},
  author={Cao, Zihan and Cao, Shiqi and Deng, Liang-Jian and Wu, Xiao and Hou, Junming and Vivone, Gemine},
  journal={Information Fusion},
  volume={104},
  pages={102158},
  year={2024},
  publisher={Elsevier}
}

• Jun-Da Wang, Liang-Jian Deng*, Chen-Yu Zhao, Xiao Wu, Hong-Ming Chen, Gemine Vivone. Cascadic Multi-Receptive Learning for Multispectral Pansharpening. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.
  [pdf] [BibTeX] [Code]

@ARTICLE{wangtgrs2023,
title={Cascadic Multireceptive Learning for Multispectral Pansharpening},
author={Wang, Jun-Da and Deng, Liang-Jian and Zhao, Chen-Yu and Wu, Xiao and Chen, Hong-Ming and Vivone, Gemine},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={61},
number={},
pages={1-16},
year={2023},
doi={10.1109/TGRS.2023.3329881}
}

• Siran Peng, Chenhao Guo, Xiao Wu, Liang-Jian Deng*. U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion. Proceedings of the ACM International Conference on Multimedia (ACM MM), 2023.
  [pdf] [BibTeX] [Code]

@ARTICLE{pengacmmm2023,
title={U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion},
author={Siran Peng, Chenhao Guo, Xiao Wu, Liang-Jian Deng*},
journal={ACM International Conference on Multimedia (ACMMM)},
volume={},
number={},
pages={},
year={2023},
doi={}
}

• Shang-Qi Deng, Liang-Jian Deng*, Xiao Wu, Ran Ran, Rui Wen. Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion. International Joint Conferences on Artificial Intelligence (IJCAI), 2023.
  [pdf] [BibTeX] [Code]

@ARTICLE{dengijcai2023,
title={Bidirectional Dilation Transformer for Multispectral and Hyperspectral Image Fusion},
author={Shang-Qi Deng, Liang-Jian Deng*, Xiao Wu, Ran Ran, Rui Wen},
journal={International Joint Conference on Artificial Intelligence (IJCAI)},
volume={},
number={},
pages={},
year={2023},
doi={}
}

• Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng*, Zhong-Chen Wu, Xiao Wu, Gemine Vivone. Variational pansharpening based on coefficient estimation with nonlocal regression. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.
  [pdf] [BibTeX] [Code]

@ARTICLE{xiaotgrs2023,
title={Variational Pansharpening Based on Coefficient Estimation With Nonlocal Regression},
author={Jin-Liang Xiao, Ting-Zhu Huang*, Liang-Jian Deng*, Zhong-Cheng Wu, Xiao Wu, Gemine Vivone},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={61},
number={},
pages={1-15},
year={2023},
doi={10.1109/TGRS.2023.3305296}
}

• Xue-Rui Qiu¹, Zhao-Rui Wang¹, Zheng Luan¹, Rui-Jie Zhu, Xiao Wu, Ma-Lu Zhang, Liang-Jian Deng*. VTSNN: A Virtual Temporal Spiking Neural Network. Frontiers in Neuroscience, 2023.
  [pdf] [BibTeX]

@article{qiu2023vtsnn,
  title={VTSNN: a virtual temporal spiking neural network},
  author={Qiu, Xue-Rui and Wang, Zhao-Rui and Luan, Zheng and Zhu, Rui-Jie and Wu, Xiao and Zhang, Ma-Lu and Deng, Liang-Jian},
  journal={Frontiers in neuroscience},
  volume={17},
  pages={1091097},
  year={2023},
  publisher={Frontiers Media SA}
}

• Rui Wen, Liang-Jian Deng*, Zhong-Cheng Wu, Xiao Wu, Gemine Vivone. A Novel Spatial Fidelity with Learnable Nonlinear Mapping for Panchromatic Sharpening. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.
  [pdf] [BibTeX] [Code]

@ARTICLE{wen2023lms,
title={A Novel Spatial Fidelity with Learnable Nonlinear Mapping for Panchromatic Sharpening},
author={Wen, Rui and Deng, Liang-Jian and Wu, Zhong-Cheng and Wu, Xiao and Vivone, Gemine},
journal={IEEE Transactions on Geoscience and Remote Sensing},
volume={},
number={},
pages={},
doi={10.1109/TGRS.2023.3265404}
}

• Shang-Qi Deng, Liang-Jian Deng*, Xiao Wu, Ran Ran, Dan-Feng Hong, Gemine Vivone. PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.
  [pdf] [BibTeX] [Code]

@ARTICLE{dengtgrs2023,
author={Shang-Qi Deng, Liang-Jian Deng*, Xiao Wu, Ran Ran, Danfeng Hong, Gemine Vivone},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={PSRT: Pyramid Shuffle-and-Reshuffle Transformer for Multispectral and Hyperspectral Image Fusion},
year={2023},
volume={61},
number={},
pages={1-15},
doi={10.1109/TGRS.2023.3244750}
}

• Liang-Jian Deng*, Ran Ran, Xiao Wu, Tian-Jing Zhang. Research progress on convolutional neural network methods for pan-sharpening of remote sensing images. Chinese Journal of Image and Graphics, 2022. (Review)
  [pdf] [BibTeX] [Code]

@ARTICLE{dengjig2022,
	author={邓良剑，冉燃，吴潇，张添敬},
	journal={中国图象图形学报},
	title={遥感图像全色锐化的卷积神经网络方法研究进展},
 	year={2022},
  	volume={},
  	number={9},
  	pages={},
  	doi={10.11834/jig.220540}
   }

• Zhi-Xuan Chen¹, Cheng Jin¹, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng*. SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening. International Joint Conferences on Artificial Intelligence (IJCAI), 2022. (Long Oral, 3.7%)
  [pdf] [BibTeX] [Code]

@inproceedings{chenijcai2022,
	author={Z.-X. Chen, C. Jin, T.-J. Zhang, X. Wu, and L.-J. Deng},
	journal={International Joint Conferences on Artificial Intelligence (IJCAI)}, 
	title={SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening}, 
	year={2022},
	volume={},
	number={},
	pages={841-847},
	doi={10.24963/ijcai.2022/118}
   }

• Yudong Wang, Liang-Jian Deng*, Tian-Jing Zhang, Xiao Wu. SSconv: Explicit Spectral-to-Spatial Convolution for Pansharpening. Proceedings of the ACM International Conference on Multimedia (ACM MM), 2021. (Poster)
  [pdf] [BibTeX] [Code]

@inproceedings{SSConv, author = {Wang, Yudong and Deng, Liang-Jian and Zhang, Tian-Jing and Wu, Xiao}, 
title = {SSconv: Explicit Spectral-to-Spatial Convolution for Pansharpening}, 
year = {2021}, 
isbn = {9781450386517}, 
publisher = {Association for Computing Machinery}, 
address = {New York, NY, USA}, 
url = {https://doi.org/10.1145/3474085.3475600}, 
doi = {10.1145/3474085.3475600}, 
booktitle = {Proceedings of the 29th ACM International Conference on Multimedia}, 
pages = {4472–4480}, 
numpages = {9}, 
keywords = {multiscale, convolution neural networks, spectral-to-spatial, pansharpening}, 
location = {Virtual Event, China}, 
series = {MM '21} }

• Cheng Jin, Rui-Jie Zhu, Xiao Wu, Liang-Jian Deng*. SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network. Arxiv, 2022.
  [pdf] [BibTeX]

@article{jin2022sit,
  title={Sit: A bionic and non-linear neuron for spiking neural network},
  author={Jin, Cheng and Zhu, Rui-Jie and Wu, Xiao and Deng, Liang-Jian},
  journal={arXiv preprint arXiv:2203.16117},
  year={2022}
}

Educations

• 06/2027-09/2023: University of Electronic Science and Technology of China (UESTC); Ph.D candidate in Mathematics. (Supervisor: Prof. Ting-Zhu Huang and Prof. Liang-Jian Deng)

• 09/2020-06/2023: University of Electronic Science and Technology of China (UESTC); Master student in Mathematics. (Supervisor: Prof. Ting-Zhu Huang and Prof. Liang-Jian Deng)

• 09/2015-06/2019: Chongqing University of Posts and Telecommunications (CQUPT); Bachelor student in Intelligent Science and Technology, School of Computer Science and Technology.

Academic Activities

• Conference Reviewer

  • AAAI 2025 PC member
  • ICLR 2025, NeurIPS 2024, IJCAI 2024, CVPR 2024, MICCAI 2024, ICIP 2024…

• Journal Reviewer

  • IEEE TGRS, IEEE JSTARS, IEEE GRSL, …

• Presentation

  • IJCAI 2023, IJCAI 2022, ICCV 2021