Liyue Shen
Orcid: 0000-0002-5874-8316
According to our database1,
Liyue Shen
authored at least 35 papers
between 2015 and 2024.
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Bibliography
2024
NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification.
IEEE Trans. Inf. Forensics Secur., 2024
Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions.
IEEE Trans. Computational Imaging, 2024
Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing.
CoRR, 2024
CoRR, 2024
SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models.
CoRR, 2024
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction.
CoRR, 2024
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems.
CoRR, 2024
Mitigating Heterogeneity in Federated Multimodal Learning with Biomedical Vision-Language Pre-training.
CoRR, 2024
CoRR, 2024
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
IEEE Trans. Medical Imaging, 2023
AWFSD: Accelerated Wirtinger Flow with Score-based Diffusion Image Prior for Poisson-Gaussian Holographic Phase Retrieval.
CoRR, 2023
AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning.
Proceedings of the ACM Web Conference 2023, 2023
PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
2022
Medical Image Anal., 2022
A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction.
Comput. Biol. Medicine, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Local Update Amplification.
Proceedings of the Annual Computer Security Applications Conference, 2022
2021
IEEE Trans. Medical Imaging, 2021
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation.
IEEE Trans. Medical Imaging, 2021
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021.
CoRR, 2021
Proceedings of the Machine Learning for Health, 2021
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2019
A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks.
CoRR, 2019
Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
2018
CoRR, 2018
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015