Zheng Tan — 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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2023

Non-Convex Approaches for Low-Rank Tensor Completion under Tubal Sampling

Zheng Tan, Longxiu Huang, HanQin Cai, Yifei Lou

ICASSP 2023accepted

Tensor completion is an important problem in modern data analysis. In this work, we investigate a specific sampling strategy, referred to as tubal sampling. We propose two novel non-convex tensor completion frameworks that are easy to implement, named tensor L <inf xmlns:mml="http://www.w3.org/1998/…

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