Author

Hualiang Wang

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Preprint Aug 2026

Any-OPD: Heterogeneous On-Policy Distillation for Flow-Matching Models via Representation-Space Bridging

On-policy distillation, in which a teacher corrects samples that the student itself generates, presupposes that the two models speak the same language: identical VAE latents, matching architectures, and a common timestep grid. We ask what happens when none of this holds, as when the strongest teacher available and the...

Siming Fu, Zheming Fu, R.Z. He et al. · 1 citation

Preprint Aug 2026

Poly-OPD: Heterogeneous Multi-Teacher On-Policy Distillation for Capability-Selectable Flow Models

This paper presents Poly-OPD, a framework that can consolidate complementary strengths of heterogeneous teachers into a single compact flow-matching student, and uses a gradient compatibility diagnostic to organize its adapters.

Siming Fu, Haojun Xu, R.Z. He et al. · 2 citations

Prompt Yourself: Awakening Textual Semantics in 1D Visual Tokenizers

VLTok is a novel 1D hybrid tokenizer that unifies V isual and L anguage representations in a shared Tok en space through a self-prompted training paradigm, and achieves state-of-the-art performance in both image reconstruction and image generation.

Hualiang Wang, Siming Fu, Wei-Nan Jia et al. · 0 citations