activity
20242026
most citedEHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis

1 citations · 2 across the 12 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

6 papers · 2 filters

cs.CV2025

Boosting Pathology Foundation Models via Few-shot Prompt-tuning for Rare Cancer Subtyping

Dexuan He, Xiao Zhou, Wenbin Guan +11

Rare cancers comprise 20-25% of all malignancies but face major diagnostic challenges due to limited expert availability-especially in pediatric oncology, where they represent over…

cs.CV2025

SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass

Yanxu Meng, Haoning Wu, Ya Zhang +1

3D content generation has recently attracted significant research interest, driven by its critical applications in VR/AR and embodied AI. In this work, we tackle the challenging ta…

cs.CV2025

SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence

Haoning Wu, Xiao Huang, Yaohui Chen +3

Existing evaluations of multimodal large language models (MLLMs) on spatial intelligence are typically fragmented and limited in scope. In this work, we aim to conduct a holistic a…

cs.CV2025

Multi-Agent System for Comprehensive Soccer Understanding

Jiayuan Rao, Zifeng Li, Haoning Wu +3

Recent advances in soccer understanding have demonstrated rapid progress, yet existing research predominantly focuses on isolated or narrow tasks. To bridge this gap, we propose a…

cs.CV2025

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining

Tengfei Zhang, Ziheng Zhao, Chaoyi Wu +4

Developing advanced medical imaging retrieval systems is challenging due to the varying definitions of `similar images' across different medical contexts. This challenge is compoun…

cs.CV2025★ 1 cited

M^3Builder: A Multi-Agent System for Automated Machine Learning in Medical Imaging

Jinghao Feng, Qiaoyu Zheng, Chaoyi Wu +4

Agentic AI systems have gained significant attention for their ability to autonomously perform complex tasks. However, their reliance on well-prepared tools limits their applicabil…