YZ
Yuyin Zhou
cs.CVcs.LGcs.AIeess.IVcs.CLDeep LearningImage Processing, Computer-AssistedNeural Networks, ComputerAlgorithmsDeep learning
On Valency
published · living versionsW_s3gcfv56·v1 · currentpublished
A Novel Federated Learning Framework for Defending Against Gradient Inversion Attacks
with Pengxin Guo, Ziying Huang, Shuang Zeng, Xiaodan Zhang +2
1 version
W_eup5mama·v1published
Preprints & journals
102 papers in the corpus · 2016–2026Multi-class segmentation of aortic branches and zones in computed tomography angiography: The AortaSeg24 challenge.42413466 · Imran, Muhammad, Krebs, Jonathan R, Sivaraman, Vishal Balaji et al.2026 · 2 citationsMedical image analysis. 2026;113:104188
Knowledge Graph Augmented Large Language Models for Disease Prediction.42317811 · Wang, Ruiyu, Vinh, Tuan, Xu, Ran et al.2026 · 0 citationsAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2026;2026:496-505
A Decade of Deep Learning-based Biomedical Image Segmentation10.64898/2026.04.27.721127v1 · Yu, S., Wang, H., Wang, N. et al.2026 · 1 citationbioRxiv
Exploring the Vulnerabilities of Federated Learning: A Deep Dive Into Gradient Inversion Attacks.41428904 · Guo, Pengxin, Wang, Runxi, Zeng, Shuang et al.2026 · 9 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;48(4):4810-4826
A New Paradigm for Genome-wide DNA Methylation Prediction Without Methylation Input.39975295 · Huang, Xiaoke, Liu, Qi, Zhao, Yifei et al.2026 · 2 citationsbioRxiv : the preprint server for biology. 2026
Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation2510.06131v1 · Jiawei Mao, Yuhan Wang, Lifeng Chen et al.2025 · 1 citationarXiv
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation.40293895 · Jiang, Hongxu, Imran, Muhammad, Zhang, Teng et al.2025 · 89 citationsIEEE journal of biomedical and health informatics. 2025;29(10):7326-7335
EpiFoundation: A Foundation Model for Single-Cell ATAC-seq via Peak-to-Gene Alignment.39975086 · Wu, Juncheng, Wan, Changxin, Ji, Zhicheng et al.2025 · 8 citationsbioRxiv : the preprint server for biology. 2025
AHELM: A Holistic Evaluation of Audio-Language Models2508.21376v2 · Tony Lee, Haoqin Tu, Chi Heem Wong et al.2025 · 1 citationarXiv
MedVLThinker: Simple Baselines for Multimodal Medical Reasoning2508.02669v3 · Xiaoke Huang, Juncheng Wu, Hui Liu et al.2025 · 0 citationsarXiv
GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Dataset2507.21033v1 · Yuhan Wang, Siwei Yang, Bingchen Zhao et al.2025 · 0 citationsarXiv
SCING:Towards More Efficient and Robust Person Re-Identification through Selective Cross-modal Prompt Tuning2507.00506v1 · Yunfei Xie, Yuxuan Cheng, Juncheng Wu et al.2025 · 1 citationarXiv
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More.41909270 · Wang, Feng, Yu, Yaodong, Shao, Wei et al.2026 · 3 citationsProceedings of machine learning research. 2025;267:65278-65290
FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models2506.09638v1 · Weiying Zheng, Ziyue Lin, Pengxin Guo et al.2025 · 0 citationsarXiv
Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains2506.02126v1 · Juncheng Wu, Sheng Liu, Haoqin Tu et al.2025 · 0 citationsarXiv
Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency.41179969 · Wang, Feng, Yang, Timing, Yu, Yaodong et al.2026 · 1 citationProceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2025;2025:30157-30166
Mamba-Reg: Vision Mamba Also Needs Registers.41394344 · Wang, Feng, Wang, Jiahao, Ren, Sucheng et al.2026 · 23 citationsProceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2025;2025:14944-14953
Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation2506.00612v3 · Running Yang, Wenlong Deng, Minghui Chen et al.2025 · 0 citationsarXiv
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models2505.21523v3 · Chengzhi Liu, Zhongxing Xu, Qingyue Wei et al.2025 · 2 citationsarXiv
ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning2505.16850v2 · Tajamul Ashraf, Mohammed Mohsen Peerzada, Moloud Abdar et al.2025 · 0 citationsarXiv
Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays2505.17311v1 · Harim Kim, Yuhan Wang, Minkyu Ahn et al.2025 · 3 citationsarXiv
: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark2504.13143v1 · Siwei Yang, Mude Hui, Bingchen Zhao et al.2025 · 0 citationsarXiv
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models2504.11468v1 · Hardy Chen, Haoqin Tu, Fali Wang et al.2025 · 0 citationsarXiv
MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs2504.06897v2 · Jiawei Mao, Yuhan Wang, Yucheng Tang et al.2025 · 10 citationsarXiv
m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models2504.00869v2 · Xiaoke Huang, Juncheng Wu, Hui Liu et al.2025 · 1 citationarXiv
MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs2504.00993v2 · Juncheng Wu, Wenlong Deng, Xingxuan Li et al.2025 · 6 citationsarXiv
A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image Segmentation2503.19308v1 · Chaohan Wang, Yutong Xie, Qi Chen et al.2025 · 10 citationsarXiv
UD-Mamba: A pixel-level uncertainty-driven Mamba model for medical image segmentation2502.02024v1 · Weiren Zhao, Feng Wang, Yanran Wang et al.2025 · 2 citationsarXiv
RetinaRegNet: A zero-shot approach for retinal image registration.39813746 · Sivaraman, Vishal Balaji, Imran, Muhammad, Wei, Qingyue et al.2025 · 11 citationsComputers in biology and medicine. 2025;186:109645
Generative Image Layer Decomposition with Visual Effects2411.17864v1 · Jinrui Yang, Qing Liu, Yijun Li et al.2024 · 5 citationsarXiv
CIS-UNet: Multi-class segmentation of the aorta in computed tomography angiography via context-aware shifted window self-attention.39579454 · Imran, Muhammad, Krebs, Jonathan R, Gopu, Veera Rajasekhar Reddy et al.2024 · 32 citationsComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 2024;118:102470
A flexible 2.5D medical image segmentation approach with in-slice and cross-slice attention.39317055 · Kumar, Amarjeet, Jiang, Hongxu, Imran, Muhammad et al.2024 · 49 citationsComputers in biology and medicine. 2024;182:109173
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition2408.12300v2 · Shuang Zeng, Pengxin Guo, Shuai Wang et al.2024 · 8 citationsarXiv
A generalist vision-language foundation model for diverse biomedical tasks.39112796 · Zhang, Kai, Zhou, Rong, Adhikarla, Eashan et al.2024 · 330 citationsNature medicine. 2024;30(11):3129-3141
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine2408.02900v3 · Yunfei Xie, Ce Zhou, Lang Gao et al.2024 · 8 citationsarXiv
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers.39096845 · Chen, Jieneng, Mei, Jieru, Li, Xianhang et al.2024 · 1,383 citationsMedical image analysis. 2024;97:103280
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor2406.08377v3 · Juncheng Wu, Zhangkai Ni, Hanli Wang et al.2024 · 0 citationsarXiv
What If We Recaption Billions of Web Images with LLaMA-3?2406.08478v2 · Xianhang Li, Haoqin Tu, Mude Hui et al.2024 · 2 citationsarXiv
Medical Vision Generalist: Unifying Medical Imaging Tasks in Context2406.05565v1 · Sucheng Ren, Xiaoke Huang, Xianhang Li et al.2024 · 0 citationsarXiv
Scaling White-Box Transformers for Vision2405.20299v4 · Jinrui Yang, Xianhang Li, Druv Pai et al.2024 · 6 citationsarXiv
Mamba-R: Vision Mamba ALSO Needs Registers2405.14858v2 · Feng Wang, Jiahao Wang, Sucheng Ren et al.2024 · 4 citationsarXiv
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing2404.09990v1 · Mude Hui, Siwei Yang, Bingchen Zhao et al.2024 · 3 citationsarXiv
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding2403.18271v1 · Zhiheng Cheng, Qingyue Wei, Hongru Zhu et al.2024 · 74 citationsarXiv
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge2403.15735v1 · Siwei Yang, Xianhang Li, Jieru Mei et al.2024 · 8 citationsarXiv
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections2403.10815v1 · Mude Hui, Zihao Wei, Hongru Zhu et al.2024 · 12 citationsarXiv
Self-supervised deep learning of gene-gene interactions for improved gene expression recovery.38349062 · Wei, Qingyue, Islam, Md Tauhidul, Zhou, Yuyin et al.2024 · 10 citationsBriefings in bioinformatics. 2024;25(2)
MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images.38211358 · Jiang, Hongxu, Imran, Muhammad, Muralidharan, Preethika et al.2024 · 90 citationsComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 2024;112:102326
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties2312.13764v3 · Junfei Xiao, Ziqi Zhou, Wenxuan Li et al.2023 · 1 citationarXiv
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training2311.01734v2 · Yipeng Gao, Zeyu Wang, Wei-Shi Zheng et al.2023 · 9 citationsarXiv
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers2310.07781v1 · Jieneng Chen, Jieru Mei, Xianhang Li et al.2023 · 37 citationsarXiv
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