Assistant Professor Heriot-Watt University, Edinburgh, UK d.chen@hw.ac.uk
I am an Assistant Professor of Mathematical and Computer Sciences at Heriot-Watt University in Edinburgh. My research lies at the intersection of machine learning, signal processing and data science. I am interested in exploiting low-dimensional models and high-dimensional geometry for challenges in representation learning, imaging science, and scientific discovery. My current focus is on inverse problems in imaging and vision, through the lens of self-supervised learning, small data learning, and foundation models.
I pioneered groundtruth-free machine imaging (equivariant imaging). I am a lead developer of deep inverse, a popular library for solving inverse imaging problems with deep learning.
Hiring: I am looking for motivated PhD students (full scholarship available), please check out here for details.
@inproceedings{chen2021equivariant,title={Equivariant Imaging: Learning Beyond the Range Space},author={Chen, Dongdong and Tachella, Juli\'an and Davies, Mike E},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oral},year={2021},pages={4379-4388},}
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 the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2022
@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={the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},month=jun,year={2022},pages={5647-5656},}
JMLR
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
Julián Tachella , Dongdong Chen, and Mike Davies
Journal of Machine Learning Research (JMLR), Jan 2023
@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)},year={2023},volume={24},number={39},pages={1--45},month=jan,}
IEEE SPM
Imaging With Equivariant Deep Learning
Dongdong Chen, Mike E Davies , J Matthias Ehrhardt , Carola-Bibiane Schönlieb , Ferdia Sherry , and Julián Tachella
@article{chen2022spm,title={Imaging With Equivariant Deep 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},year={2023},volume={40},number={1},pages={134-147},}
