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Jingjing Deng

2 accepted papers

2026

Beyond the Static-World: Lifelong Learning for All-in-One Medical Image Restoration

CVPR 2026

All-in-one Medical Image Restoration (MedIR) models offer a promising path towards generalized medical imaging intelligence but face two critical spatiotemporal challenges: 1) Spatial modality interference, where conflicting gradients from diverse modalities (e.g., MRI, CT, PET) degrade performance;

Cited by 0SourceScholar
2025

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition

IJCAI 2025

Federated learning is a machine learning paradigm that enables decentralized clients to collaboratively learn a shared model while keeping all the training data local. While considerable research has focused on federated image generation, particularly Generative Adversarial Networks, Variational Aut