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Liyue Shen

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AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification

Nov 23, 2023
Zirui Gong, Liyue Shen, Yanjun Zhang, Leo Yu Zhang, Jingwei Wang, Guangdong Bai, Yong Xiang

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The Emergence of Reproducibility and Consistency in Diffusion Models

Oct 08, 2023
Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Liyue Shen, Qing Qu

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Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Jul 16, 2023
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen

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

May 12, 2023
Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler

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

May 17, 2022
Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel Rubin, Lei Xing, Yuyin Zhou

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

Nov 30, 2021
Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott

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

Nov 15, 2021
Yang Song, Liyue Shen, Lei Xing, Stefano Ermon

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

Aug 24, 2021
Liyue Shen, John Pauly, Lei Xing

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A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction

May 25, 2021
Liyue Shen, Wei Zhao, Dante Capaldi, John Pauly, Lei Xing

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