Yun Li

Overcome the bandwidth bottleneck in remote sensing with a collaborative edge-cloud approach that transmits structural priors, enabling high-fidelity super-resolution and boosting downstream perception tasks even under extreme compression.

Achieve near-lossless 2x speedups in long video diffusion by learning to attend only to the most relevant parts of the video, guided by motion and semantic content.

Autonomous driving models can get a 30% performance boost simply by restructuring text inputs to highlight causal relationships between intent and environmental constraints.

Forget full intrinsic decomposition: LightCtrl achieves state-of-the-art single-image relighting by learning sparse, physically meaningful latent proxies from limited PBR data.