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Home/Authors/Yu-Lun Liu

Yu-Lun Liu

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2Vision×1ML×1Crypto×1Distributed×1

Frequent co-authors

Cheng-Yu Yang1×
Shao-Yuan Lo1×
Shih-Yu Lai1×
Hirozumi Yamaguchi1×
Shang-Tse Chen1×
Bing-Yu Chen1×

Research Timeline

2026
UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment

UMEDA introduces a novel graph federated learning framework that uses spectral signal processing and diffusion models to enable privacy-preserving, robust localization across clients with highly heterogeneous sensor modalities and data distributions.

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models

肖代替了视觉令牌的永久删除,通过可恢复的路由来改进视觉语言模型的性能

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIEmpiricalRecentJun 10, 2026

Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models

Cheng-Yu Yang, Shao-Yuan Lo, Yu-Lun Liu

肖代替了视觉令牌的永久删除,通过可恢复的路由来改进视觉语言模型的性能

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cs.LGcs.AIcs.CRRecentMay 8, 2026

UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment

Shih-Yu Lai, Hirozumi Yamaguchi, Shang-Tse Chen, Yu-Lun Liu +1 more

UMEDA introduces a novel graph federated learning framework that uses spectral signal processing and diffusion models to enable privacy-preserving, robust localization across clients with highly heter…

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