7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2026
CoX-MoE: Coalesced Expert Execution for High-Throughput MoE Inference with AMX-Enabled CPU-GPU Co-Execution
Muyoung Son, Yi Chen, Seungjae Yoo +2
The Mixture-of-Experts (MoE) architecture improves computational efficiency via sparse expert activation, but throughput-oriented inference faces substantial GPU memory pressure du…
cs.CV2025★ 7 cited
AoP-SAM: Automation of Prompts for Efficient Segmentation
Yi Chen, Mu-Young Son, Chuanbo Hua +1
The Segment Anything Model (SAM) is a powerful foundation model for image segmentation, showing robust zero-shot generalization through prompt engineering. However, relying on manu…