4 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.AI2026
What Will Happen Next: Large Models-Driven Deduction for Emergency Instances
Zhengqing Hu, Dong Chen, Junkun Yuan +6
Traditional simulation methods reproduce occurred emergency instances through presetting to assist people in risk assessment and emergency decision-making. However, due to the lack…
cs.CV2023★ 3 cited
Understanding Prompt Tuning for V-L Models Through the Lens of Neural Collapse
Didi Zhu, Zexi Li, Min Zhang +6
Large-scale vision-language (V-L) models have demonstrated remarkable generalization capabilities for downstream tasks through prompt tuning. However, the mechanisms behind the lea…
cs.CV2022★ 4 cited
Domain Generalization via Contrastive Causal Learning
Qiaowei Miao, Junkun Yuan, Kun Kuang
Domain Generalization (DG) aims to learn a model that can generalize well to unseen target domains from a set of source domains. With the idea of invariant causal mechanism, a lot…