most citedActivating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation

2 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025

R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation

Futian Wang, Yuhan Qiao, Xiao Wang +3

X-ray medical report generation is one of the important applications of artificial intelligence in healthcare. With the support of large foundation models, the quality of medical r…

cs.CV2025

Sign Language Translation using Frame and Event Stream: Benchmark Dataset and Algorithms

Xiao Wang, Yuehang Li, Fuling Wang +5

Accurate sign language understanding serves as a crucial communication channel for individuals with disabilities. Current sign language translation algorithms predominantly rely on…

cs.IR2025

EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval

Yin Wu, Zhengxuan Zhang, Fuling Wang +3

Misinformation continues to pose a significant challenge in today's information ecosystem, profoundly shaping public perception and behavior. Among its various manifestations, Out-…

cs.CV2025

XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion

Xiao Wang, Qingquan Yang, Fuling Wang +12

Nuclear fusion is one of the most promising ways for humans to obtain infinite energy. Currently, with the rapid development of artificial intelligence, the mission of nuclear fusi…

eess.IV2025★ 2 cited

Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation

Xiao Wang, Fuling Wang, Haowen Wang +5

X-ray image based medical report generation achieves significant progress in recent years with the help of the large language model, however, these models have not fully exploited…

cs.CV2024★ 2 cited

CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset

Xiao Wang, Fuling Wang, Yuehang Li +5

X-ray image-based medical report generation (MRG) is a pivotal area in artificial intelligence which can significantly reduce diagnostic burdens and patient wait times. Despite sig…

cs.CV2024

Event Stream-based Sign Language Translation: A High-Definition Benchmark Dataset and A Novel Baseline

Shiao Wang, Xiao Wang, Duoqing Yang +5

Sign Language Translation (SLT) is a core task in the field of AI-assisted disability. Traditional SLT methods are typically based on visible light videos, which are easily affecte…

cs.CV2024★ 2 cited

R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation

Xiao Wang, Yuehang Li, Fuling Wang +3

Inspired by the tremendous success of Large Language Models (LLMs), existing Radiology report generation methods attempt to leverage large models to achieve better performance. The…