Xuelong Mi — accepted AI-conference papers

2023

NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation

Wei Zheng, James Cheng Peng, Zeyuan Hou, Boyu Lyu, Mengfan Wang, Xuelong Mi +3

NeurIPS 2023poster

3D segmentation of nuclei images is a fundamental task for many biological studies. Despite the rapid advances of large-volume 3D imaging acquisition methods and the emergence of sophisticated algorithms to segment the nuclei in recent years, a benchmark with all cells completely annotated is still…

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2022

BILCO: An Efficient Algorithm for Joint Alignment of Time Series

Xuelong Mi, Mengfan Wang, Alex Bo-Yuan Chen, Jing-Xuan Lim, Yizhi Wang, Misha Ahrens +1

NeurIPS 2022accept

Multiple time series data occur in many real applications and the alignment among them is usually a fundamental step of data analysis. Frequently, these multiple time series are inter-dependent, which provides extra information for the alignment task and this information cannot be well utilized in t…

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