Yanning Zhang

MeanSR achieves state-of-the-art perceptual super-resolution with a single inference step, drastically cutting down on computational costs while enhancing image quality.

DualTSR achieves a remarkable 12.78 percentage point improvement in accuracy while slashing model parameters from 1.23B to just 203M.

AIGP not only boosts e-commerce profitability by over 13% but also delivers interpretable pricing strategies that align with long-term business goals.

Correcting a vision-language model's "hallucinations" is now as simple as pinpointing and editing the right intermediate representation, sidestepping costly retraining or dual inference.

By decomposing object features into interpretable concepts, this work reveals *why* open-world object detectors confuse known and unknown objects, paving the way for more reliable and transparent systems.