En-Ming Huang
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This paper proposes coupled egocentric control, a body-following teleoperation approach for whole-body robot control, improving efficiency, reducing effort, and increasing ease of use.
This paper introduces a distribution-aware framework for modeling and benchmarking Mixture-of-Experts (MoE) inference, showing that the best fused-MoE kernel changes with routing skew and token count, and presents DA-MoE, a GPU-resident kernel-dispatch runtime that improves geomean fused-MoE latency.
Papers
Decoding the Skew: Distribution-Aware MoE Inference with Adaptive Kernel Dispatch
En-Ming Huang, An-Cheng Chang, Bai-Cheng Jeng, Shih-Hao Hung +1 more
This paper introduces a distribution-aware framework for modeling and benchmarking Mixture-of-Experts (MoE) inference, showing that the best fused-MoE kernel changes with routing skew and token count,…