publications

(*) denotes equal contribution, (†) denotes equal advising.

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
    CVPR, 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
    ICML, 2024

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
  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

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
  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
  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
  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

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
  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)

2020

  1. MICCAI
    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
  2. ECCV
    Deep decomposition learning for inverse imaging problems
    Dongdong Chen, and Mike E Davies
    In European Conference on Computer Vision (ECCV) , 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
  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

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
  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
  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
  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
  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
  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
  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

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
  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
  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

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
  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
  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

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

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