Yuming Fang

Standard text-prompt evaluations severely underestimate diffusion safety risks, which reliably resurface under embedding-level control and trigger policy enforcement failures unless probabilities are explicitly calibrated.

Achieve state-of-the-art image quality assessment by causally disentangling content and degradation, even in data-scarce domains where existing methods fail.