alphaFeedback
SR
cs.CVcs.AIBenchmarkingcs.CLDecision Support Systems, ClinicalFederated LearningImage Processing, Computer-AssistedMedical benchmarkNatural Language ProcessingPathology

On Valency

published · living versions
W_bt9a2shm·v1 · currentpublished
MedVTok: A General-Purpose Medical Visual Tokenizer
with Chenglong Ma, Yuanfeng Ji, Junzhi Ning, Jiyao Liu +16
1 version

Preprints & journals

12 papers in the corpus · 2025–2026
LynnReal-Omni: Native multi-modal Video Generation for Agentic Visual Workflows2609.15863v1 · Xiaofeng Mao, Peijia Lin, Shaohao Rui et al.2026 · 0 citationsarXiv
OmniPathoVQA: Benchmarking pathology vision-language models with Encyclopedia-scale knowledge.42431152 · Chen, Kaitao, Wei, Linda, Rui, Shaohao et al.2026 · 0 citationsMedical image analysis. 2026;113:104196
BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression2606.10135v4 · Shaohao Rui, Xiaofeng Mao, Zhanyu Zhang et al.2026 · 0 citationsarXiv
Modality-Agnostic Federated Learning With Adaptive Updates for Heterogeneous Medical Image Tasks.41790827 · Zhang, Wenwen, Tang, Zhenyu, Zhang, Hao et al.2026 · 1 citationIEEE transactions on medical imaging. 2026;45(6):3276-3286
PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference2603.25730v1 · Xiaofeng Mao, Shaohao Rui, Kaining Ying et al.2026 · 1 citationarXiv
Think Twice to See More: Iterative Visual Reasoning in Medical VLMs2510.10052v1 · Kaitao Chen, Shaohao Rui, Yankai Jiang et al.2025 · 1 citationarXiv
Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making2508.05996v2 · Kaitao Chen, Mianxin Liu, Daoming Zong et al.2025 · 0 citationsarXiv
CardioCoT: Hierarchical Reasoning for Multimodal Survival Analysis2505.19195v1 · Shaohao Rui, Haoyang Su, Jinyi Xiang et al.2025 · 0 citationsarXiv
Career total: 14 works. 12 are in this corpus.

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.