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Ning Yu

ACL 2026×2SIGGRAPH 2026×2CVPR 2026ECCV 2026多模态效率与系统推理安全可解释性
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0 一作 · 6 篇 · ACL 2026 / SIGGRAPH 2026 / CVPR 2026 / ECCV 2026

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2026 顶会论文

6
作者位次 #2/6ACL 2026Findings· Findings of ACL

VC hain: Chain-of-Visual-Thought for Reasoning in Video Generation

Ziqi Huang · Ning Yu · Gordon Chen · Haonan Qiu · Paul Debevec · Ziwei Liu

摘要

Recent video generation models can produce smooth and visually appealing clips, but they often struggle to synthesize complex dynamics with a coherent chain of consequences. Accurately modeling visual outcomes and state transitions over time remains a core challenge. In contrast, large language a...

多模态效率与系统推理OpenReview 项目页
作者位次 #3/6ACL 2026Findings· Findings of ACL

Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification

Xiangtao Meng · Yingkai Dong · Ning Yu · Li Wang · Zheng Li · Shanqing Guo

摘要

Text-to-image (T2I) generative models have achieved remarkable visual fidelity, yet remain vulnerable to generating unsafe content. Existing safety defenses typically intervene internally within the generative model, but suffer from severe concept entanglement, leading to degradation of benign ge...

安全多模态可解释性OpenReview 项目页

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