Yinlong Liu

Transforming a 6-DoF pose estimation problem into a 4-DoF challenge leads to significant efficiency gains and improved accuracy in robotic applications.

Pathological markers for Alzheimer's may mislead diagnostic AI, particularly for Greek and male speakers, revealing critical demographic gaps in acoustic biomarker effectiveness.

ASR-driven data augmentation boosts Alzheimer's detection accuracy by over 4%, showcasing the potential of synthetic speech in clinical diagnostics.

LLMs' vulnerability to adversarial prefixes isn't just about lacking safety training data, but a deeper problem of "semantic representation decay" that a causal approach can fix.