publications

2026

1. ICGA

   Rapid Classification of Large Aerial LiDAR Datasets

   Fauzy Othman , Phil Bartie , and Dongdong Chen

   In 10th International Conference on GeoInformation Advances , 2026

   PDF
2. tech report

   SHARE: A Fully Unsupervised Framework for Single Hyperspectral Image Restoration

   Jiangwei Xie , Zhang Wen , Mike Davies , and Dongdong Chen†

   arXiv, 2026

   arXiv Code
3. tech report

   Equivariant Learning for Unsupervised Image Dehazing

   Zhang Wen , Jiangwei Xie , and Dongdong Chen†

   arXiv, 2026

   arXiv

2025

1. IEEE TAI

   ELSA: Equivariant Self-Supervised Adaptation for Small Data Learning

   Lili Kong , Dongdong Chen†, Chenwei Tang , Deng Xiong , and Jiancheng Lv†

   IEEE Transactions on Artificial Intelligence, 2025
2. tech report

   Rethinking the Vulnerability of Concept Erasure and a New Method

   Alex Richardson , Kaicheng Zhang , Lucas Beerens , and Dongdong Chen†

   arXiv, 2025

   arXiv Code
3. ISCS

   Fast Simulation of Damage Diffusion Distribution in Scanning Transmission Electron Microscopy

   Amir Javadi Rad , Amirafshar Moshtaghpour , Dongdong Chen, and Angus Kirkland

   In International Symposium on Computational Sensing , 2025

   arXiv
4. UKCI

   Artificial Immune System Approaches to Classify Ambiguous Data on Device Quality

   Rachana Patel , Yonghan Zhang , Robert L Nicol , Dongdong Chen, and Wei Pang

   In UK Workshop on Computational Intelligence , 2025

   PDF

2024

1. CVPR

   Equivariant Multi-Modality Image Fusion

   Zixiang Zhao , Haowen Bai , Jiangshe Zhang , Yulun Zhang† , Kai Zhang , Shuang Xu , Dongdong Chen†, Radu Timofte , and Luc Van Gool

   In CVPR , 2024

   arXiv Bib PDF Code

   @inproceedings{zhao2024emma,
     title = {Equivariant Multi-Modality Image Fusion},
     author = {Zhao, Zixiang and Bai, Haowen and Zhang, Jiangshe and Zhang†, Yulun and Zhang, Kai and Xu, Shuang and Chen†, Dongdong and Timofte, Radu and Van Gool, Luc},
     booktitle = {CVPR},
     year = {2024}
   }

2. ICML

   Image Fusion via Vision-Language Model

   Zixiang Zhao , Lilun Deng , Haowen Bai , Yukun Cui , Zhipeng Zhang , Yulun Zhang , Haotong Qin , Dongdong Chen†, Jiangshe Zhang , Peng Wang , and Luc Van Gool

   In ICML , 2024

   arXiv Bib PDF Code

   @inproceedings{zhao2024film,
     title = {Image Fusion via Vision-Language Model},
     author = {Zhao, Zixiang and Deng, Lilun and Bai, Haowen and Cui, Yukun and Zhang, Zhipeng and Zhang, Yulun and Qin, Haotong and Chen†, Dongdong and Zhang, Jiangshe and Wang, Peng and Van Gool, Luc},
     booktitle = {ICML},
     year = {2024}
   }

3. ACM MM Oral

   Neural Boneprint: Person Identification from Bones using Generative Contrastive Deep Learning

   Chaoqun Niu* , Dongdong Chen*, Jizhe Zhou , Jian Wang , Xiang Luo , Quan-Hui Liu , YUAN Li , and Jiancheng Lv

   In ACM Multimedia (MM) , 2024

   Oral Presentation

   PDF Code
4. ACM MM Oral

   Diffusion Posterior Proximal Sampling for Image Restoration

   Hongjie Wu , Linchao He , Mingqin Zhang , Dongdong Chen, Kunming Luo , Mengting Luo , Ji-Zhe Zhou , Hu Chen , and Jiancheng Lv

   In ACM Multimedia (MM) , 2024

   Oral Presentation

   PDF Code

2023

1. JMLR

   Sensing Theorems for Unsupervised Learning in Linear Inverse Problems

   Julián Tachella , Dongdong Chen, and Mike Davies

   Journal of Machine Learning Research (JMLR), 2023

   arXiv Bib PDF

   @article{tachella2022jmlr,
     title = {Sensing Theorems for Unsupervised Learning in Linear Inverse Problems},
     author = {Tachella, Juli\'an and Chen, Dongdong and Davies, Mike},
     journal = {Journal of Machine Learning Research (JMLR)},
     volume = {24},
     number = {39},
     pages = {1--45},
     year = {2023}
   }

2. IEEE SPM

   Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning

   Dongdong Chen, Mike E Davies , J Matthias Ehrhardt , Carola-Bibiane Schönlieb , Ferdia Sherry , and Julián Tachella

   IEEE Signal Processing Magazine, 2023

   arXiv Bib PDF

   @article{chen2022spm,
     title = {Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning},
     author = {Chen, Dongdong and Davies, Mike E and Ehrhardt, J Matthias and Sch\"onlieb, Carola-Bibiane and Sherry, Ferdia and Tachella, Juli\'an},
     journal = {IEEE Signal Processing Magazine},
     volume = {40},
     number = {1},
     pages = {134-147},
     year = {2023}
   }

2022

1. CVPR Oral

   Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements

   Dongdong Chen*, Julián Tachella* , and Mike E. Davies

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2022

   Oral Presentation

   arXiv Bib HTML PDF Supp Video Code

   @inproceedings{chen2021robust,
     author = {Chen*, Dongdong and Tachella*, Juli\'an and Davies, Mike E.},
     title = {Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2022},
   }

2. GRETSI

   Unsupervised Learning to Solve Inverse Problems: Application to Single-Pixel Imaging

   Julián Tachella , Dongdong Chen, and Mike Davies

   In Proceedings of the XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI) , 2022

   Bib PDF

   @inproceedings{tachella2022gretsi,
     title = {Unsupervised Learning to Solve Inverse Problems: Application to Single-Pixel Imaging},
     author = {Tachella, Juli\'an and Chen, Dongdong and Davies, Mike},
     booktitle = {Proceedings of the XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI)},
     year = {2022}
   }

3. NeurIPS

   Unsupervised Learning From Incomplete Measurements for Inverse Problems

   Julián Tachella , Dongdong Chen, and Mike Davies

   In Advances in Neural Information Processing Systems (NeurIPS) , 2022

   arXiv Bib PDF Code

   @inproceedings{tachella2022moi,
     title = {Unsupervised Learning From Incomplete Measurements for Inverse Problems},
     author = {Tachella, Juli\'an and Chen, Dongdong and Davies, Mike},
     booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
     year = {2022}
   }

4. ISBI

   Deep Unrolling for Magnetic Resonance Fingerprinting

   Dongdong Chen, Mike E Davies , and Mohammad Golbabaee

   In IEEE International Symposium on Biomedical Imaging (ISBI) , 2022

   arXiv Bib

   @inproceedings{chen2022deep,
     title = {Deep Unrolling for Magnetic Resonance Fingerprinting},
     author = {Chen, Dongdong and Davies, Mike E and Golbabaee, Mohammad},
     booktitle = {IEEE International Symposium on Biomedical Imaging (ISBI)},
     year = {2022}
   }

2021

1. IEEE TMI

   Dual convolutional neural networks for breast mass segmentation and diagnosis in mammography

   Heyi Li , Dongdong Chen, William H Nailon , Mike E Davies , and David I Laurenson

   IEEE Transactions on Medical Imaging (TMI), 2021

   Bib PDF

   @article{li2021dual,
     title = {Dual convolutional neural networks for breast mass segmentation and diagnosis in mammography},
     author = {Li, Heyi and Chen, Dongdong and Nailon, William H and Davies, Mike E and Laurenson, David I},
     journal = {IEEE Transactions on Medical Imaging (TMI)},
     arixv = {2008.02957},
     publisher = {IEEE},
     year = {2021}
   }

2. ICCV OralFeatured

   Equivariant Imaging: Learning Beyond the Range Space

   Dongdong Chen, Julián Tachella , and Mike E Davies

   In IEEE/CVF International Conference on Computer Vision (ICCV) , 2021

   Oral Presentation (Featured in ICCV Daily)

   arXiv Bib HTML PDF Supp Video Code

   @inproceedings{chen2021equivariant,
     title = {Equivariant Imaging: Learning Beyond the Range Space},
     author = {Chen, Dongdong and Tachella, Juli\'an and Davies, Mike E},
     booktitle = {IEEE/CVF International Conference on Computer Vision (ICCV)},
     award2 = {Featured},
     further_highlight_with_url = {<a href="https://www.rsipvision.com/ICCV2021-Thursday/14/"> (Featured in ICCV Daily)</a>},
     year = {2021}
   }

2020

1. MICCAI Oral

   Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations

   Dongdong Chen, Mike E. Davies , and Mohammad Golbabaee

   In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , 2020

   arXiv Bib PDF Code

   @inproceedings{chen2020compressive,
     author = {Chen, Dongdong and Davies, Mike E. and Golbabaee, Mohammad},
     title = {Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations},
     booktitle = {International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
     year = {2020}
   }

2. ECCV

   Deep decomposition learning for inverse imaging problems

   Dongdong Chen, and Mike E Davies

   In European Conference on Computer Vision (ECCV) , 2020

   arXiv Bib PDF Code

   @inproceedings{chen2020deep,
     title = {Deep decomposition learning for inverse imaging problems},
     author = {Chen, Dongdong and Davies, Mike E},
     booktitle = {European Conference on Computer Vision (ECCV)},
     pages = {510--526},
     year = {2020}
   }

3. IEEE TSMCS

   An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting

   Dongbo Liu , Zhenan He , Dongdong Chen, and Jiancheng Lv

   IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMCS), 2020

   Bib PDF

   @article{liu2020improved,
     author = {Liu, Dongbo and He, Zhenan and Chen, Dongdong and Lv, Jiancheng},
     journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMCS)},
     title = {An Improved Dual-Channel Network to Eliminate Catastrophic Forgetting},
     publisher = {IEEE},
     year = {2020}
   }

4. arXiv

   COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography

   Heyi Li* , Dongdong Chen*, William H Nailon , Mike E Davies , and David Laurenson

   2020

   arXiv Bib

   @article{li2020coin,
     title = {COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography},
     author = {Li*, Heyi and Chen*, Dongdong and Nailon, William H and Davies, Mike E and Laurenson, David},
     year = {2020}
   }

2019

1. ICASSP

   A Deep DUAL-PATH Network for Improved Mammogram Image Processing

   Heyi Li , Dongdong Chen, William H Nailon , Mike E Davies , and David Laurenson

   In International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 2019

   Bib PDF

   @inproceedings{li2019dual,
     title = {A Deep DUAL-PATH Network for Improved Mammogram Image Processing},
     author = {Li, Heyi and Chen, Dongdong and Nailon, William H and Davies, Mike E and Laurenson, David},
     booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
     arixv = {1903.00001},
     year = {2019}
   }

2. ICASSP Oral

   Geometry of Deep Learning for Magnetic Resonance Fingerprinting

   Mohammad Golbabaee , Dongdong Chen, Pedro A Gómez , Marion I Menzel , and Mike E Davies

   In International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , 2019

   Oral Presentation

   arXiv Bib PDF

   @inproceedings{mo2019geometry,
     title = {Geometry of Deep Learning for Magnetic Resonance Fingerprinting},
     author = {Golbabaee, Mohammad and Chen, Dongdong and G{\'o}mez, Pedro A and Menzel, Marion I and Davies, Mike E},
     booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
     year = {2019}
   }

3. MIDL

   Deep Fully Convolutional Network for MR Fingerprinting

   Dongdong Chen, Mohammad Golbabaee , Pedro A Gómez , Marion I Menzel , and Mike E Davies

   In International Conference on Medical Imaging with Deep Learning (MIDL) , 2019

   Bib PDF

   @inproceedings{chen2019bMIDL,
     title = {Deep Fully Convolutional Network for MR Fingerprinting},
     author = {Chen, Dongdong and Golbabaee, Mohammad and G{\'o}mez, Pedro A and Menzel, Marion I and Davies, Mike E},
     booktitle = {International Conference on Medical Imaging with Deep Learning (MIDL)},
     year = {2019}
   }

4. SPARS

   A Fully Convolutional Network for MR Fingerprinting

   Dongdong Chen, Mohammad Golbabaee , Pedro A Gomez , Marion I Menzel , and Mike E Davies

   In The Signal Processing with Adaptive Sparse Structured Representations workshop (SPARS) , 2019

   Bib

   @inproceedings{chen2019fully,
     title = {A Fully Convolutional Network for MR Fingerprinting},
     author = {Chen, Dongdong and Golbabaee, Mohammad and Gomez, Pedro A and Menzel, Marion I and Davies, Mike E},
     booktitle = {The Signal Processing with Adaptive Sparse Structured Representations workshop (SPARS)},
     arixv = {1911.09846},
     year = {2019}
   }

5. MIDL

   Spatio-temporal regularization for deep MR Fingerprinting

   Mohammad Golbabaee , Dongdong Chen, Mike Davies , Marion I. Menzel , and Pedro A. Gomez

   In International Conference on Medical Imaging with Deep Learning (MIDL) , 2019

   Bib PDF

   @inproceedings{golbabaee2019aMIDL,
     title = {Spatio-temporal regularization for deep MR Fingerprinting},
     author = {Golbabaee, Mohammad and Chen, Dongdong and Davies, Mike and Menzel, Marion I. and Gomez, Pedro A.},
     booktitle = {International Conference on Medical Imaging with Deep Learning (MIDL)},
     year = {2019}
   }

6. MICCAI

   Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis

   Heyi Li* , Dongdong Chen*, William H Nailon , Mike E Davies , and David I Laurenson

   In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , 2019

   arXiv Bib PDF

   @inproceedings{li2019signed,
     title = {Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis},
     author = {Li*, Heyi and Chen*, Dongdong and Nailon, William H and Davies, Mike E and Laurenson, David I},
     booktitle = {International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)},
     year = {2019}
   }

7. IEEE TNNLS

   A Network Framework for Small-Sample Learning

   Dongbo Liu , Zhenan He , Dongdong Chen, and Jiancheng Lv

   IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019

   Bib PDF

   @article{liu2019network,
     title = {A Network Framework for Small-Sample Learning},
     author = {Liu, Dongbo and He, Zhenan and Chen, Dongdong and Lv, Jiancheng},
     journal = {IEEE Transactions on Neural Networks and Learning Systems (TNNLS)},
     publisher = {IEEE},
     year = {2019}
   }

2018

1. iTWIST

   Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine

   Dongdong Chen, Jiancheng Lv , and Mike E Davies

   In international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST) , 2018

   arXiv Bib

   @inproceedings{chen2018learning,
     title = {Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine},
     author = {Chen, Dongdong and Lv, Jiancheng and Davies, Mike E},
     booktitle = {international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST)},
     year = {2018}
   }

2. iTWIST

   A deep learning approach for Magnetic Resonance Fingerprinting

   Mohammad Golbabaee , Dongdong Chen, Pedro A Gómez , Marion I Menzel , and Mike E Davies

   international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST), 2018

   Bib

   @article{golbabaee2018deep,
     title = {A deep learning approach for Magnetic Resonance Fingerprinting},
     author = {Golbabaee, Mohammad and Chen, Dongdong and G{\'o}mez, Pedro A and Menzel, Marion I and Davies, Mike E},
     journal = {international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST)},
     axiv = {1809.01749},
     year = {2018}
   }

3. MICCAI-BIA Award

   Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net

   Heyi Li , Dongdong Chen, William H Nailon , Mike E Davies , and David Laurenson

   In MICCAI Workshop on Breast Image Analysis (MICCAI-BIA) , 2018

   Best Paper Finalist

   arXiv Bib PDF

   @incollection{li2018improved,
     title = {Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net},
     author = {Li, Heyi and Chen, Dongdong and Nailon, William H and Davies, Mike E and Laurenson, David},
     booktitle = {MICCAI Workshop on Breast Image Analysis (MICCAI-BIA)},
     pages = {81--89},
     publisher = {Springer},
     year = {2018}
   }

2017

1. AAAIW

   Unsupervised multi-manifold clustering by learning deep representation

   Dongdong Chen, Jiancheng Lv , and Zhang Yi

   In AAAI conference on artificial intelligence (AAAI) Workshop , 2017

   Bib

   @inproceedings{chen2017unsupervised,
     title = {Unsupervised multi-manifold clustering by learning deep representation},
     author = {Chen, Dongdong and Lv, Jiancheng and Yi, Zhang},
     booktitle = {AAAI conference on artificial intelligence (AAAI) Workshop},
     pages = {385--391},
     year = {2017}
   }

2. NCAA

   Angle-based embedding quality assessment method for manifold learning

   Dongdong Chen, Jiancheng Lv , Jing Yin , Haixian Zhang , and Xiaojie Li

   Neural Computing and Applications, 2017

   Bib

   @article{chen2017angle,
     title = {Angle-based embedding quality assessment method for manifold learning},
     author = {Chen, Dongdong and Lv, Jiancheng and Yin, Jing and Zhang, Haixian and Li, Xiaojie},
     journal = {Neural Computing and Applications},
     publisher = {Springer},
     year = {2017}
   }

3. IEEE TNNLS Award

   Graph Regularized Restricted Boltzmann Machine

   Dongdong Chen, Jiancheng Lv , and Zhang Yi

   IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2017

   SCF Best Student Paper

   Bib Code

   @article{dongdong2018graph,
     author = {Chen, Dongdong and Lv, Jiancheng and Yi, Zhang},
     journal = {IEEE Transactions on Neural Networks and Learning Systems (TNNLS)},
     title = {Graph Regularized Restricted Boltzmann Machine},
     year = {2017}
   }

2015

1. IES Award

   Angle-based outlier detection algorithm with more stable relationships

   Xiaojie Li , Jian Cheng Lv , and Dongdong Chen

   In Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES) , 2015

   Best Student Paper

   Bib PDF

   @inproceedings{li2015angle,
     title = {Angle-based outlier detection algorithm with more stable relationships},
     author = {Li, Xiaojie and Lv, Jian Cheng and Chen, Dongdong},
     booktitle = {Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES)},
     pages = {433--446},
     volume = {1},
     organization = {Springer},
     year = {2015}
   }

2014

1. AAAI

   A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation

   Dongdong Chen, Jian Cheng Lv , and Zhang Yi

   In AAAI conference on artificial intelligence (AAAI) , 2014

   Bib HTML PDF Code

   @inproceedings{chen2014local,
     title = {A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure Preservation},
     author = {Chen, Dongdong and Lv, Jian Cheng and Yi, Zhang},
     booktitle = {AAAI conference on artificial intelligence (AAAI)},
     pages = {1745--1751},
     year = {2014}
   }