Lei Zhu

Even with severely degraded input, RetinaDiff unlocks reliable retinal blood flow imaging from just a handful of frames, outperforming conventional methods.

LLMs can reason more effectively by directly tracking their own belief in the correct answer throughout the reasoning process, enabling more targeted policy updates.

Generative models can be surprisingly effective for texture filtering when fine-tuned with a two-stage supervised and reinforcement learning approach.