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Xuanyu Liu

2 accepted papers

2026

Newton-coupled Dual-Teacher Semi-supervised Learning Framework

ICML 2026poster

Most semi-supervised learning frameworks rely on a single teacher that transfers zero-order supervision through pseudo-labels, constraining the student to imitate categorical outputs without perceiving the loss geometry. This design often leads to unstable optimization and limited generalization und…

Cited by 0SourceScholar
2023

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation

CVPR 2023poster

Animating virtual avatars to make co-speech gestures facilitates various applications in human-machine interaction. The existing methods mainly rely on generative adversarial networks (GANs), which typically suffer from notorious mode collapse and unstable training, thus making it difficult to learn…