Zhanpei Huang — accepted AI-conference papers

2026

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering

Mingjie Zhao, Zhanpei Huang, Yang Lu, Mengke Li, Yiqun Zhang, Weifeng Su +1

AAAI 2026technical

Categorical attributes with qualitative values are ubiquitous in cluster analysis of real datasets. Unlike the Euclidean distance of numerical attributes, the categorical attributes lack well-defined relationships of their possible values (also called categories interchangeably), which hampers the e

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2025

Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion

Sen Feng, Mingjie Zhao, Zhanpei Huang, Yuzhu Ji, Yiqun Zhang, Yiu-Ming Cheung

ICASSP 2025accepted

Understanding categorical data with vague qualitative values by forming clusters is crucial in many data-driven AI fields. Compared with numerical data with its quantitative values embedded in well-defined Euclidean distance space, distances of the qualitative values are naturally unknown and are sp…

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