2 citations · 4 across the 7 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.CL2026
From Agents to Edges: Paired Optimization for Multi-Agent Collaboration
Feng Lin, Xiaotian Yu, Yifan Yang +1
Strong individual agents do not guarantee effective collaboration. Communication must align what one agent conveys with how another interprets and uses it. This dependency makes th…
cs.DC2026
Agentic Kernel Optimization: Generating State-of-the-Art GPU Kernels Without Hand-Written CUDA
Mao Luo, Hongbin Li, Feng Lin +2
We study whether general-purpose code agents can produce state-of-the-art GPU kernels without any manually written CUDA code. We investigate this question using representative work…
cs.CV2026
Reg-TTR, Test-Time Refinement for Fast, Robust and Accurate Image Registration
Lin Chen, Yue He, Fengting Zhang +4
Traditional image registration methods are robust but slow due to their iterative nature. While deep learning has accelerated inference, it often struggles with domain shifts. Emer…