Liyue Shen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Diffusion Models

Sparsely Sampled

Top Venues

IEEE Trans. Medical Imaging

Publications

Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems. CoRR (2024)
Liyue Shen, John M. Pauly, Lei Xing
NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Chenhui Zhao, Liyue Shen
Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation. CoRR (2024)
Bowen Song, Jason Hu, Zhaoxu Luo, Jeffrey A. Fessler, Liyue Shen
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction. CoRR (2024)
Zhaoxu Luo, Bowen Song, Liyue Shen
SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models. CoRR (2024)
Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. WWW (2024)
Zitao Shuai, Liyue Shen
Mitigating Heterogeneity in Federated Multimodal Learning with Biomedical Vision-Language Pre-training. CoRR (2024)
Zirui Gong, Liyue Shen, Yanjun Zhang, Leo Yu Zhang, Jingwei Wang, Guangdong Bai, Yong Xiang
AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Jiankun Zhao, Bowen Song, Liyue Shen
CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems. CoRR (2024)
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency. ICLR (2024)
Chenwei Wu, David Restrepo, Zitao Shuai, Zhongming Liu, Liyue Shen
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection. CoRR (2024)
Zirui Gong, Liyue Shen, Yanjun Zhang, Leo Yu Zhang, Jingwei Wang, Guangdong Bai, Yong Xiang
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification. CoRR (2023)
Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Liyue Shen, Qing Qu
The Emergence of Reproducibility and Consistency in Diffusion Models. CoRR (2023)
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency. CoRR (2023)
Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. IEEE Trans. Medical Imaging 42 (7) (2023)
Bowen Song, Liyue Shen, Lei Xing
PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction. WACV (2023)
Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu
AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. WWW (2023)
Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler
AWFSD: Accelerated Wirtinger Flow with Score-based Diffusion Image Prior for Poisson-Gaussian Holographic Phase Retrieval. CoRR (2023)
Yang Song, Liyue Shen, Lei Xing, Stefano Ermon
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. ICLR (2022)
Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging. CoRR (2022)
Liyue Shen, Yanjun Zhang, Jingwei Wang, Guangdong Bai
Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Local Update Amplification. ACSAC (2022)
Liyue Shen, Lequan Yu, Wei Zhao, John M. Pauly, Lei Xing
Novel-view X-ray projection synthesis through geometry-integrated deep learning. Medical Image Anal. 77 (2022)
Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing
A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction. Comput. Biol. Medicine 148 (2022)
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
Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS (2021)
Shih-Cheng Huang, Liyue Shen, Matthew P. Lungren, Serena Yeung
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition. ICCV (2021)
Liyue Shen, Wei Zhao, Dante Capaldi, John M. Pauly, Lei Xing
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction. CoRR (2021)
Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. IEEE Trans. Medical Imaging 40 (12) (2021)
Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. CoRR (2021)
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
Multi-Domain Image Completion for Random Missing Input Data. IEEE Trans. Medical Imaging 40 (4) (2021)
Yang Song, Liyue Shen, Lei Xing, Stefano Ermon
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. CoRR (2021)
Liyue Shen, John M. Pauly, Lei Xing
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction. CoRR (2021)
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
Multi-Domain Image Completion for Random Missing Input Data. CoRR (2020)
Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing
A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks. CoRR (2019)
Wei Zhao, Liyue Shen, Yan Wu, Bin Han, Yong Yang, Lei Xing
Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions. Medical Imaging: Image-Guided Procedures (2019)
Liyue Shen, Katie S. Shpanskaya, Edward H. Lee, Emily McKenna, Maryam Maleki, Quin Lu, Safwan Halabi, John M. Pauly, Kristen W. Yeom
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain. CoRR (2018)
Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei
Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. WACV (2018)
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
Learning to Learn from Noisy Web Videos. CoRR (2017)
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
Learning to Learn from Noisy Web Videos. CVPR (2017)
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian
Scalable Person Re-identification: A Benchmark. ICCV (2015)
Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jiahao Bu, Qi Tian
Person Re-identification Meets Image Search. CoRR (2015)