Liyue Shen

According to our database, Liyue Shen authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction.

Liyue Shen, John M. Pauly, Lei Xing

IEEE Trans. Neural Networks Learn. Syst., January, 2024

AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification.

Zirui Gong, Liyue Shen, Yanjun Zhang, Leo Yu Zhang, Jingwei Wang, Guangdong Bai, Yong Xiang

IEEE Trans. Inf. Forensics Secur., 2024

Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions.

Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler

IEEE Trans. Computational Imaging, 2024

ST-NeRP: Spatial-Temporal Neural Representation Learning with Prior Embedding for Patient-specific Imaging Study.

Liang Qiu, Liyue Shen, Lianli Liu, Junyan Liu, Yizheng Chen, Lei Xing

CoRR, 2024

Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems.

Jason Hu, Bowen Song, Jeffrey A. Fessler, Liyue Shen

CoRR, 2024

Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing.

Zitao Shuai, Chenwei Wu, Zhengxu Tang, Bowen Song, Liyue Shen

CoRR, 2024

SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models.

Zhaoxu Luo, Bowen Song, Liyue Shen

CoRR, 2024

DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction.

Bowen Song, Jason Hu, Zhaoxu Luo, Jeffrey A. Fessler, Liyue Shen

CoRR, 2024

Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems.

Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler

CoRR, 2024

Mitigating Heterogeneity in Federated Multimodal Learning with Biomedical Vision-Language Pre-training.

Zitao Shuai, Liyue Shen

CoRR, 2024

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

Chenhui Zhao, Liyue Shen

CoRR, 2024

Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience.

Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal

Proceedings of the ACM on Web Conference 2024, 2024

Efficient In-Context Medical Segmentation with Meta-Driven Visual Prompt Selection.

Chenwei Wu, David S. Restrepo, Zitao Shuai, Zhongming Liu, Liyue Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

The Emergence of Reproducibility and Consistency in Diffusion Models.

Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang, Liyue Shen, Qing Qu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency.

Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems.

Jiankun Zhao, Bowen Song, Liyue Shen

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.

Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou

IEEE Trans. Medical Imaging, 2023

The Emergence of Reproducibility and Consistency in Diffusion Models.

Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Liyue Shen, Qing Qu

CoRR, 2023

AWFSD: Accelerated Wirtinger Flow with Score-based Diffusion Image Prior for Poisson-Gaussian Holographic Phase Retrieval.

Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler

CoRR, 2023

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning.

Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu

Proceedings of the ACM Web Conference 2023, 2023

PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction.

Bowen Song, Liyue Shen, Lei Xing

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.

Liyue Shen, Lequan Yu, Wei Zhao, John M. Pauly, Lei Xing

Medical Image Anal., 2022

A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction.

Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing

Comput. Biol. Medicine, 2022

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models.

Yang Song, Liyue Shen, Lei Xing, Stefano Ermon

Proceedings of the Tenth International Conference on Learning Representations, 2022

Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Local Update Amplification.

Liyue Shen, Yanjun Zhang, Jingwei Wang, Guangdong Bai

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Multi-Domain Image Completion for Random Missing Input Data.

Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu

IEEE Trans. Medical Imaging, 2021

Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation.

Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing

IEEE Trans. Medical Imaging, 2021

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021.

Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott

CoRR, 2021

Machine Learning for Health (ML4H) 2021.

Subhrajit Roy, Stephen Pfohl, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer

Proceedings of the Machine Learning for Health, 2021

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition.

Shih-Cheng Huang, Liyue Shen, Matthew P. Lungren, Serena Yeung

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.

Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing

CoRR, 2019

Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions.

Wei Zhao, Liyue Shen, Yan Wu, Bin Han, Yong Yang, Lei Xing

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

2018

Deep Learning with Attention to Predict Gestational Age of the Fetal Brain.

Liyue Shen, Katie S. Shpanskaya, Edward H. Lee, Emily McKenna, Maryam Maleki, Quin Lu, Safwan Halabi, John M. Pauly, Kristen W. Yeom

CoRR, 2018

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning.

Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017

Learning to Learn from Noisy Web Videos.

Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Person Re-identification Meets Image Search.

Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jiahao Bu, Qi Tian

CoRR, 2015

Scalable Person Re-identification: A Benchmark.

Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015