Xiang Chen

Medical vision-language models are surprisingly brittle: clinically plausible image manipulations, like those introduced during routine acquisition and delivery, can drastically degrade their performance.

Robots can think (and act) twice as fast: HeiSD's hybrid speculative decoding turbocharges embodied agents by intelligently switching between draft and retrieval strategies.

VLA models get a 1.73x speedup with only 5-7% overhead thanks to RAPID, a new edge-cloud collaborative inference framework that smartly handles visual noise and motion continuity.

Achieve near 20-point accuracy gains in reasoning tasks by dynamically routing between latent and discrete reasoning spaces based on model confidence.