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Zhenqi He

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#machine learning Preprint Oct 2026

Smoother Flow Matching via Contrastive Trajectory Repulsion

Trajectory crossing remains a critical bottleneck in Flow Matching (FM), and previous works typically view these crossings from a theoretical optimization perspective causing velocity averaging. They attempt to address it indirectly by post-hoc distillation or endpoint coupling, without explicitly regulating the interm...

Zi-Qi Jiang, Zhen-Qi He, Long Chen · 0 citations
Preprint Aug 2026

DIFFCZSL: Compositional Zero-Shot Learning Regularized by Diffusion Representations

DIFFCZSL is proposed, a diffusion-augmented framework that injects generative priors from pre-trained diffusion models into CLIP-based CZSL pipelines and highlights the complementary strengths of generative diffusion representations and discriminative vision-language models for compositional generalization.

Hangyu Tian, Zhen-Qi He, Yanghao Wang et al. · 0 citations

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