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Author

Lehan Wang

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Preprint Oct 2026

Neurons++: A Unified Visual-Stream Framework for Image and Video Reconstruction from fMRI with Neural-to-Visual Interpretability

Neurons++ is proposed, a visual-stream fMRI reconstruction framework for both static image and dynamic video reconstruction and achieves state-of-the-art video reconstruction and competitive image reconstruction across standard benchmarks.

Hao-Nan Wang, Yu-Chen Wang, Jing-Yu Lu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Concept-Grounded Reasoning with Prompt-Driven Localization for Interpretable Structured Report Generation

Experiments on BUS-CoT and IU X-ray datasets demonstrate consistent improvements in diagnostic accuracy, concept consistency, and report quality over strong general-purpose and medical MLLMs, indicating that concept-grounded reasoning better aligns generation with clinical decision processes.

Xin-Yue Xu, Hong-Bin Lin, Juan-Gui Xu et al. · 0 citations
#artificial intelligence Preprint May 2025

Synergistic Vision-Language Reinforcement Enables Scalable On-Demand Analysis across Diverse Clinical Tasks

SyRe is presented, a promptable segmentation foundation model based on Synergistic vision-language Reinforcement that achieves accurate text-prompted segmentation across diverse clinical scenarios, with particularly strong performance on disease-related targets.

Haonan Wang, J. Mao, Le-Han Wang et al. · 2 citations
Jul 2026

SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response

Experimental results show that although current agents can reliably uncover the problems exposed by alerts, they struggle to proactively investigate the disk for silent intrusions and to produce comprehensive, verified remediation plans, with no model achieving complete detection and remediation on any single range.

Le-Han Wang, Boli Chen, Ruixue Ding et al. · 0 citations

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