2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AR2026
Decoding the Skew: Distribution-Aware MoE Inference with Adaptive Kernel Dispatch
En-Ming Huang, An-Cheng Chang, Bai-Cheng Jeng +2
Mixture-of-Experts (MoE) inference consists of sparse expert GEMMs whose shapes vary with the runtime routing distribution. Existing serving systems typically select fused-MoE kern…
cs.AI2026
Structured Testbench Generation for LLM-Driven HDL Design and Verification-Oriented Data Curation
En-Ming Huang, Yu-Hung Kao, Ren-Hao Deng +10
Automated testbench generation has become a critical bottleneck in large language model (LLM)-driven Register Transfer Level (RTL) workflows, where large numbers of candidate desig…
cs.LG2024★ 2 cited
DeepMachining: Online Prediction of Machining Errors of Lathe Machines
Xiang-Li Lu, Hwai-Jung Hsu, Che-Wei Chou +3
We describe DeepMachining, a deep learning-based AI system for online prediction of machining errors of lathe machine operations. We have built and evaluated DeepMachining based on…