Weizhen Wang — accepted AI-conference papers

2026

STORK: Faster Diffusion and Flow Matching Sampling by Resolving both Stiffness and Structure-Dependence

Zheng Tan, Weizhen Wang, Andrea L. Bertozzi, Ernest K. Ryu

ICLR 2026poster

Diffusion models (DMs) and flow-matching models have demonstrated remarkable performance in image and video generation. However, such models require a significant number of function evaluations (NFEs) during sampling, leading to costly inference. Consequently, quality-preserving fast sampling method…

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2025

Embodied Scene Understanding for Vision Language Models via MetaVQA

Weizhen Wang, Chenda Duan, Zhenghao Peng, Yuxin Liu, Bolei Zhou

CVPR 2025poster

Vision Language Models (VLMs) demonstrate significant potential as embodied AI agents for various mobility applications. However, a standardized, closed-loop benchmark for evaluating their spatial reasoning and sequential decision-making capabilities is lacking. To address this, we present MetaVQA:…

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