Shen, Liyue

22 publications

NeurIPS 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

TMLR 2025 Distributionally Robust Alignment for Medical Federated Vision-Language Pre-Training Under Data Heterogeneity Zitao Shuai, Chenwei Wu, Zhengxu Tang, Liyue Shen

ICLR 2025 Dynamic Modeling of Patients, Modalities and Tasks via Multi-Modal Multi-Task Mixture of Experts Chenwei Wu, Zitao Shuai, Zhengxu Tang, Luning Wang, Liyue Shen

TMLR 2025 Part-Aware Prompted Segment Anything Model for Adaptive Segmentation Chenhui Zhao, Liyue Shen

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

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

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

ICMLW 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 Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler

ICMLW 2024 SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-Resolution with Latent Diffusion Models Bowen Song, Zhaoxu Luo, Liyue Shen

ICMLW 2024 SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-Resolution with Latent Diffusion Models Zhaoxu Luo, Bowen Song, Liyue Shen

ICLR 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

ICML 2024 The Emergence of Reproducibility and Consistency in Diffusion Models Huijie Zhang, Jinfan Zhou, Yifu Lu, Minzhe Guo, Peng Wang, Liyue Shen, Qing Qu

WACV 2023 PINER: Prior-Informed Implicit Neural Representation Learning for Test-Time Adaptation in Sparse-View CT Reconstruction Bowen Song, Liyue Shen, Lei Xing

NeurIPSW 2023 Poisson-Gaussian Holographic Phase Retrieval with Score-Based Image Prior Jason Hu, Zongyu Li, Xiaojian Xu, Liyue Shen, Jeffrey A Fessler

ICLR 2022 Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song, Liyue Shen, Lei Xing, Stefano Ermon

ICCV 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

NeurIPSW 2021 NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction Liyue Shen, John M. Pauly, Lei Xing

NeurIPSW 2021 Solving Inverse Problems in Medical Imaging with Score-Based Generative Models Yang Song, Liyue Shen, Lei Xing, Stefano Ermon

WACV 2018 Scaling Human-Object Interaction Recognition Through Zero-Shot Learning Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei

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

ICCV 2015 Scalable Person Re-Identification: A Benchmark Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian