Liyue Shen

Orcid: 0000-0002-5874-8316

According to our database1, Liyue Shen authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

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

Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation.
CoRR, 2024

2023
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.
IEEE Trans. Medical Imaging, 2023

The Emergence of Reproducibility and Consistency in Diffusion Models.
CoRR, 2023

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency.
CoRR, 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
Novel-view X-ray projection synthesis through geometry-integrated deep learning.
Medical Image Anal., 2022

A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction.
Comput. Biol. Medicine, 2022

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models.
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
Multi-Domain Image Completion for Random Missing Input Data.
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

Machine Learning for Health (ML4H) 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
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain.
CoRR, 2018

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Learning to Learn from Noisy Web Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015
Person Re-identification Meets Image Search.
CoRR, 2015

Scalable Person Re-identification: A Benchmark.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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