Scalable Person Re-identification: A Benchmark. - Liang Zheng 001; Liyue Shen; Lu Tian; Shengjin Wang; Jingdong Wang 001; Qi Tian 001 (ICCV, 2015)

Person Re-identification Meets Image Search. - Liang Zheng 001; Liyue Shen; Lu Tian; Shengjin Wang; Jiahao Bu; Qi Tian 001 (CoRR, 2015)

Learning to Learn from Noisy Web Videos. - Serena Yeung; Vignesh Ramanathan; Olga Russakovsky; Liyue Shen; Greg Mori; Li Fei-Fei 001 (CVPR, 2017)

Scaling Human-Object Interaction Recognition Through Zero-Shot Learning. - Liyue Shen; Serena Yeung; Judy Hoffman; Greg Mori; Li Fei-Fei 001 (WACV, 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)

Automatic marker-free target positioning and tracking for image-guided radiotherapy and interventions. - Wei Zhao 029; Liyue Shen; Yan Wu 012; Bin Han; Yong Yang; Lei Xing 001 (Image-Guided Procedures, 2019)

A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks. - Masoud Badiei Khuzani; Liyue Shen; Shahin Shahrampour; Lei Xing 001 (CoRR, 2019)

GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition. - Shih-Cheng Huang; Liyue Shen; Matthew P. Lungren; Serena Yeung (ICCV, 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 (ML4H@NeurIPS, 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)

Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation. - Hyunseok Seo; Lequan Yu; Hongyi Ren; Xiaomeng Li 001; Liyue Shen; Lei Xing 001 (IEEE Trans. Medical Imaging, 2021)

Multi-Domain Image Completion for Random Missing Input Data. - Liyue Shen; Wentao Zhu 001; Xiaosong Wang 001; Lei Xing 001; 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)

Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Local Update Amplification. - Liyue Shen; Yanjun Zhang; Jingwei Wang 003; Guangdong Bai (ACSAC, 2022)

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. - Yang Song 011; Liyue Shen; Lei Xing 001; Stefano Ermon (ICLR, 2022)

A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction. - Liyue Shen; Wei Zhao 029; Dante Capaldi; John M. Pauly; Lei Xing 001 (Comput. Biol. Medicine, 2022)

Novel-view X-ray projection synthesis through geometry-integrated deep learning. - Liyue Shen; Lequan Yu; Wei Zhao 029; John M. Pauly; Lei Xing 001 (Medical Image Anal., 2022)

PINER: Prior-informed Implicit Neural Representation Learning for Test-time Adaptation in Sparse-view CT Reconstruction. - Bowen Song; Liyue Shen; Lei Xing 001 (WACV, 2023)

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. - Yanjun Zhang; Guangdong Bai; Mahawaga Arachchige Pathum Chamikara; Mengyao Ma; Liyue Shen; Jingwei Wang 003; Surya Nepal; Minhui Xue 001; Long Wang; Joseph K. Liu (WWW, 2023)

AWFSD: Accelerated Wirtinger Flow with Score-based Diffusion Image Prior for Poisson-Gaussian Holographic Phase Retrieval. - Zongyu Li; Jason Hu; Xiaojian Xu 002; Liyue Shen; Jeffrey A. Fessler (CoRR, 2023)

The Emergence of Reproducibility and Consistency in Diffusion Models. - Huijie Zhang; Jinfan Zhou; Yifu Lu; Minzhe Guo; Liyue Shen; Qing Qu 001 (CoRR, 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 001; Yuyin Zhou (IEEE Trans. Medical Imaging, 2023)

CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems. - Jiankun Zhao; Bowen Song; Liyue Shen (ECCV (48), 2024)

Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency. - Bowen Song; Soo Min Kwon; Zecheng Zhang; Xinyu Hu; Qing Qu 001; Liyue Shen (ICLR, 2024)

The Emergence of Reproducibility and Consistency in Diffusion Models. - Huijie Zhang; Jinfan Zhou; Yifu Lu; Minzhe Guo; Peng Wang 098; Liyue Shen; Qing Qu 001 (ICML, 2024)

Efficient In-Context Medical Segmentation with Meta-Driven Visual Prompt Selection. - Chenwei Wu 006; David S. Restrepo; Zitao Shuai; Zhongming Liu; Liyue Shen (MICCAI (9), 2024)

Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems. - Jason Hu; Bowen Song; Xiaojian Xu 002; Liyue Shen; Jeffrey A. Fessler (NeurIPS, 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 (NeurIPS, 2024)

Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. - Yanjun Zhang; Ruoxi Sun 001; Liyue Shen; Guangdong Bai; Minhui Xue 001; Mark Huasong Meng; Xue Li 001; Ryan K. L. Ko; Surya Nepal (WWW, 2024)

Part-aware Personalized Segment Anything Model for Patient-Specific Segmentation. - Chenhui Zhao; Liyue Shen (CoRR, 2024)

Mitigating Heterogeneity in Federated Multimodal Learning with Biomedical Vision-Language Pre-training. - Zitao Shuai; 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)

Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing. - Zitao Shuai; Chenwei Wu 006; Zhengxu Tang; Bowen Song; Liyue Shen (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)

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 001 (CoRR, 2024)

Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing. - Zitao Shuai; Chenwei Wu 006; Zhengxu Tang; Bowen Song; Liyue Shen (CoRR, 2024)

Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions. - Zongyu Li; Jason Hu; Xiaojian Xu 002; Liyue Shen; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2024)

AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification. - Zirui Gong; Liyue Shen; Yanjun Zhang; Leo Yu Zhang; Jingwei Wang 003; Guangdong Bai; Yong Xiang 001 (IEEE Trans. Inf. Forensics Secur., 2024)

NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction. - Liyue Shen; John M. Pauly; Lei Xing 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts. - Chenwei Wu 006; Zitao Shuai; Zhengxu Tang; Luning Wang; Liyue Shen (ICLR, 2025)

Single-Spoke Motion-Compensated Dynamic 3D MRI Reconstruction via Neural Representation. - Lixuan Chen; James M. Balter; Liyue Shen; Jeong Joon Park (MICCAI (16), 2025)

TempA-VLP: Temporal-Aware Vision-Language Pretraining for Longitudinal Exploration in Chest X-Ray Image. - Zhuoyi Yang; Liyue Shen (WACV, 2025)

Test-Time Adaptation Improves Inverse Problem Solving With Patch-Based Diffusion Models. - Jason Hu; Bowen Song; Jeffrey A. Fessler; Liyue Shen (IEEE Trans. Computational Imaging, 2025)

Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity. - Zitao Shuai; Chenwei Wu 006; Zhengxu Tang; Liyue Shen (Trans. Mach. Learn. Res., 2025)

Part-aware Prompted Segment Anything Model for Adaptive Segmentation. - Chenhui Zhao; Liyue Shen (Trans. Mach. Learn. Res., 2025)

CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation. - Bowen Song; Zecheng Zhang; Zhaoxu Luo; Jason Hu; Wei Yuan; Jing Jia; Zhengxu Tang; Guanyang Wang; Liyue Shen (CoRR, 2025)

Antithetic Noise in Diffusion Models. - Jing Jia; Sifan Liu; Bowen Song; Wei Yuan; Liyue Shen; Guanyang Wang (CoRR, 2025)