LS
Liyue Shen
cs.CVcs.LGcs.AIeess.IVDeep Learningstat.MLImage Processing, Computer-Assisteddeep learningNeural Networks, Computerstat.CO
On Valency
published · living versionsW_f25bmun9·v1 · currentpublished
Incentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care Prediction
with Pengfei Hu, Chenwei Wu, Qiao Jin, Jun Deng +2
1 version
Preprints & journals
61 papers in the corpus · 2015–2026Incentivizing Tool-Use Reinforcement Learning for Post-Arrival Emergency Care Prediction2610.21449v2 · Pengfei Hu, Chenwei Wu, Qiao Jin et al.2026 · 0 citationsarXivon Valency
Label-Efficient Generative Inverse Design and Design-Rule Discovery in Freeform Topological Photonics2609.28401v1 · Yuhan Zhang, Xin Xie, Bowen Song et al.2026 · 0 citationsarXiv
MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents2608.29528v2 · Hei Ting Chan, Chenwei Wu, Xueshen Liu et al.2026 · 0 citationsarXiv
A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings2608.12745v3 · Hei Ting Chan, Chenwei Wu, Xueshen Liu et al.2026 · 0 citationsProceedings of the 11th Machine Learning for Healthcare Conference (MLHC), PMLR 340:283-313, 2026
TIER-MoE: Trust-Informed Expert Routing via Conditional Modality Risk for Multimodal Fusion in Biomedical Classification2607.27289v1 · Yu Chang, Anzhe Cheng, Chenwei Wu et al.2026 · 0 citationsarXiv
Evaluating and Understanding Model Editing for Medical Vision Language Models2607.05310v1 · Guli Zhu, Chenwei Wu, Liyue Shen2026 · 0 citationsarXiv
Beyond Time Series: Spatial Reasoning for Epidemic Forecasting via Multimodal Learning2606.22171v1 · Diana Guadalupe Gomez, Chenwei Wu, Zhiyi Wang et al.2026 · 0 citationsarXiv
Evaluating the Representation Space of Diffusion Models via Self-Supervised Principles2606.09718v1 · Xiao Li, Yixuan Jia, Zekai Zhang et al.2026 · 0 citationsarXiv
Prospective Dynamic 3D MRI Reconstruction via Latent-Space Motion Tracking from Single Measurement2606.04249v1 · Lixuan Chen, Zhongnan Liu, Jesse Hamilton et al.2026 · 0 citationsarXiv
Fractional-gradient Sparsity with Autoencoding Sequential Deep Image Prior for 3D CT Reconstruction2605.24670v2 · Haijie Yuan, Chaoyan Huang, Srijita Bandopadhyay et al.2026 · 0 citationsarXiv
Couple to Control: Joint Initial Noise Design in Diffusion Models2605.11311v1 · Jing Jia, Liyue Shen, Guanyang Wang2026 · 0 citationsarXiv
MedAction: Towards Active Multi-turn Clinical Diagnostic LLMs2605.07305v2 · Hsin-Ling Hsu, Zizheng Wang, Donghua Zhang et al.2026 · 0 citationsarXiv
NAMD: Virtual Follow-up Computed Tomography Synthesis via Nodule-Aligned Multimodal Diffusion Models for Early Lung Cancer Diagnosis2603.15932v2 · James Song, Yifan Wang, Chuan Zhou et al.2026 · 0 citationsarXiv
REMIND: Rethinking Medical High-Modality Learning under Missingness--A Long-Tailed Distribution Perspective2603.00046v1 · Chenwei Wu, Zitao Shuai, Liyue Shen2026 · 0 citationsarXiv
Beyond Accuracy: Evaluating Posterior Fidelity of Diffusion Inverse Solvers2602.04189v2 · Xiaoyu Qiu, Taewon Yang, Zhanhao Liu et al.2026 · 0 citationsarXiv
Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance2601.22443v2 · Jing Jia, Wei Yuan, Sifan Liu et al.2026 · 0 citationsarXiv
Cardiac MR Fingerprinting at 0.55T Using a Deep Image Prior for Joint T1, T2, and M0 Mapping.41569085 · Liu, Zhongnan, Liu, Zexuan, Rashid, Imran et al.2026 · 2 citationsJournal of magnetic resonance imaging : JMRI. 2026;63(5):1365-1377
Local Patches Meet Global Context: Scalable 3D Diffusion Priors for Computed Tomography Reconstruction2512.18161v1 · Taewon Yang, Jason Hu, Jeffrey A. Fessler et al.2025 · 0 citationsarXiv
ST-NeRP: Spatial-temporal neural representation learning with prior embedding for patient-specific imaging study.41197190 · Qiu, Liang, Shen, Liyue, Liu, Lianli et al.2025 · 1 citationComputers in biology and medicine. 2025;198(Pt B):111266
Antithetic Noise in Diffusion Models2506.06185v2 · Jing Jia, Sifan Liu, Bowen Song et al.2025 · 0 citationsarXiv
CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation2502.04670v1 · Bowen Song, Zecheng Zhang, Zhaoxu Luo et al.2025 · 0 citationsarXiv
Latent Space Disentanglement in Diffusion Transformers Enables Precise Zero-shot Semantic Editing2411.08196v1 · Zitao Shuai, Chenwei Wu, Zhengxu Tang et al.2024 · 0 citationsarXiv
Patch-Based Diffusion Models Beat Whole-Image Models for Mismatched Distribution Inverse Problems2410.11730v1 · Jason Hu, Bowen Song, Jeffrey A. Fessler et al.2024 · 2 citationsarXiv
Latent Space Disentanglement in Diffusion Transformers Enables Zero-shot Fine-grained Semantic Editing2408.13335v1 · Zitao Shuai, Chenwei Wu, Zhengxu Tang et al.2024 · 0 citationsarXiv
CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems2407.12676v1 · Jiankun Zhao, Bowen Song, Liyue Shen2024 · 6 citationsarXiv
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection2407.11188v1 · Chenwei Wu, David Restrepo, Zitao Shuai et al.2024 · 7 citationsarXiv
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction2406.10211v1 · Bowen Song, Jason Hu, Zhaoxu Luo et al.2024 · 7 citationsNeural Information Processing Systems (NeurIPS), 2024
SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models2406.10225v2 · Zhaoxu Luo, Bowen Song, Liyue Shen2024 · 2 citationsarXiv
Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems2406.02462v3 · Jason Hu, Bowen Song, Xiaojian Xu et al.2024 · 5 citationsNeural Information Processing Systems (NeurIPS), 2024
Missing Wedge Completion via Unsupervised Learning with Coordinate Networks.38712113 · Van Veen, Dave, Galaz-Montoya, Jesús G, Shen, Liyue et al.2025 · 8 citationsbioRxiv : the preprint server for biology. 2024
Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity2404.03854v3 · Zitao Shuai, Chenwei Wu, Zhengxu Tang et al.2024 · 0 citationsarXiv
Part-aware Prompted Segment Anything Model for Adaptive Segmentation2403.05433v2 · Chenhui Zhao, Liyue Shen2024 · 1 citationarXiv
Volumetric MRI with sparse sampling for MR-guided 3D motion tracking via sparse prior-augmented implicit neural representation learning.38014764 · Liu, Lianli, Shen, Liyue, Johansson, Adam et al.2024 · 12 citationsMedical physics. 2024;51(4):2526-2537
Super-resolution biomedical imaging via reference-free statistical implicit neural representation.37757838 · Ye, Siqi, Shen, Liyue, Islam, Md Tauhidul et al.2023 · 6 citationsPhysics in medicine and biology. 2023;68(20)
The Emergence of Reproducibility and Generalizability in Diffusion Models2310.05264v5 · Huijie Zhang, Jinfan Zhou, Yifu Lu et al.2023 · 3 citationsarXiv
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency2307.08123v3 · Bowen Song, Soo Min Kwon, Zecheng Zhang et al.2023 · 24 citationsarXiv
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging.37018314 · Yan, Rui, Qu, Liangqiong, Wei, Qingyue et al.2023 · 181 citationsIEEE transactions on medical imaging. 2023;42(7):1932-1943
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior2305.07712v2 · Zongyu Li, Jason Hu, Xiaojian Xu et al.2023 · 2 citationsarXiv
Patient-Specific Auto-segmentation on Daily kVCT Images for Adaptive Radiation Therapy.37141982 · Chen, Yizheng, Gensheimer, Michael F, Bagshaw, Hilary P et al.2023 · 11 citationsInternational journal of radiation oncology, biology, physics. 2023;117(2):505-514
Modeling linear accelerator (Linac) beam data by implicit neural representation learning for commissioning and quality assurance applications.36621812 · Liu, Lianli, Shen, Liyue, Yang, Yong et al.2023 · 11 citationsMedical physics. 2023;50(5):3137-3147
Leveraging data-driven self-consistency for high-fidelity gene expression recovery.36414658 · Islam, Md Tauhidul, Wang, Jen-Yeu, Ren, Hongyi et al.2022 · 9 citationsNature communications. 2022;13(1):7142
Real time volumetric MRI for 3D motion tracking via geometry-informed deep learning.35766221 · Liu, Lianli, Shen, Liyue, Johansson, Adam et al.2022 · 19 citationsMedical physics. 2022;49(9):6110-6119
Implicit neural representation for radiation therapy dose distribution.35477171 · Vasudevan, Varun, Shen, Liyue, Huang, Charles et al.2022 · 14 citationsPhysics in medicine and biology. 2022;67(12)
A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction.35715260 · Shen, Liyue, Zhao, Wei, Capaldi, Dante et al.2022 · 45 citationsComputers in biology and medicine. 2022;148:105710
NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction.35657845 · Shen, Liyue, Pauly, John, Xing, Lei2024 · 226 citationsIEEE transactions on neural networks and learning systems. 2022;PP
Novel-view X-ray projection synthesis through geometry-integrated deep learning.35131701 · Shen, Liyue, Yu, Lequan, Zhao, Wei et al.2022 · 13 citationsMedical image analysis. 2022;77:102372
Attention-guided deep learning for gestational age prediction using fetal brain MRI.35082346 · Shen, Liyue, Zheng, Jimmy, Lee, Edward H et al.2022 · 54 citationsScientific reports. 2022;12(1):1408
SERM: a self-consistent deep learning solution forrapid and accurate gene expression recovery10.1101/2022.01.18.476789v1 · Islam, M. T., Wang, J.-Y., Ren, H. et al.2022 · 0 citationsbioRxiv
Artificial intelligence in image-guided radiotherapy: a review of treatment target localization.34888196 · Zhao, Wei, Shen, Liyue, Islam, Md Tauhidul et al.2024 · 39 citationsQuantitative imaging in medicine and surgery. 2021;11(12):4881-4894
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 20212112.00179v1 · Fabian Falck, Yuyin Zhou, Emma Rocheteau et al.2021 · 0 citationsarXiv
Career total: 94 works. 61 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.