Dr. Junqing Huang
Email • PhD in Mathematics
Variational, PDE and optimization, image and vision processing, deep and machine learning
Postdoctoral Researcher
University of Deusto
Google Scholar
I am a postdoctoral researcher at University of Deusto. Previously, I was a postdoc at Ghent University.
I obtained a degree in Mathematics from Ghent University in 2025 and a Master’s degree in Mathematics from Beihang University (BUAA), China, in 2015.
I have several years of experience in both academic research and industry through his work at Ghent University and Beihang University.
Research interests
My research interests lie in the mathematical foundations and theoretical principles of computer vision and image processing, including
• partial differential equations (PDEs),
• wavelet and sparsity theory,
• optimization theory, and
• optimal transport
I’m currently focused on developing theoretical foundations and models for explainable and controllable generative vision models.
Projects
• CoDeFeL: Control and Deep and Federated Learning. ERC Advanced PI: Enrique Zuazua (2024 – 2029)
Publications
2025
- Huang, J., Wang, H., & Ruzhansky, M. (2025). Semi-sparsity Generalization for Variational Mesh Denoising. arXiv preprint arXiv:2510.13372
2023
- Huang, J., Wang, H., Wang, X., & Ruzhansky, M. (2023). Semi-sparsity for smoothing filters. IEEE Transactions on Image Processing, 32, 1627-1639
- Huang, J., Wang, H., & Ruzhansky, M. (2023). Semi-sparsity priors for image structure analysis and extraction. arXiv preprint arXiv:2308.09141
- Huang, J., Wang, H., Weiermann, A., & Ruzhansky, M. (2023). Optimal Image Transport on Sparse Dictionaries. arXiv preprint arXiv:2311.01984
2022
- Huang, J., Ruzhansky, M., Zhang, Q., & Wang, H. (2022). Intrinsic image transfer for illumination manipulation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 7444-7456