Baochang Zhang

Achieve over 2x training speedup for LLM reasoning without sacrificing accuracy by dynamically pruning Group Relative Policy Optimization (GRPO) with a novel importance sampling correction.

Control realistic face animations like never before by disentangling identity and motion, enabling arbitrary expression interpolation in an unsupervised manner.

Generate high-fidelity 3D avatars in seconds, not minutes, by directly mapping multi-modal prompts to 3D representations using a dual diffusion model trained on a new large-scale dataset.

Stop letting noisy vision-language alignment ruin your referring image segmentation: AML filters out the bad parts.