Zipeng Wu — accepted AI-conference papers

2026

Time-Series Decomposition as a standalone Task: A Mechanism-Driven Diagnostic Benchmark

Zipeng Wu, Jiani Wei, Shiqiao Zhou, Jiajun Chen, Fabian Spill, J. Andrews

ICML 2026poster

We benchmark time series decomposition as a standalone evaluation task. While decomposition outputs are widely used to interpret trend and periodic structure, their quality is often assessed informally, and no unified benchmark exists for comparing component recovery under controlled generative mech…

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2024

A Non-Homogeneity Mapless Navigation Based on Hierarchical Safe Reinforcement Learning in Dynamic Complex Environments

Jianmin Qin, Qingchen Liu, Qichao Ma, Zipeng Wu, Jiahu Qin

IROS 2024poster

Addressing safe and efficient navigation in dynamic, realistic, and complex environments stands as a pivotal inquiry within the realm of robotics. Recently, numerous learning-based methods are introduced into the field of navigation, yielding notable outcomes. In this letter, we propose a hierarchic…

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