Junjie Zheng — accepted AI-conference papers

2025

Enhancing Fairness in Gaussian Mixture Clustering through Impact Factor

Zhijing Yang, Chuan Qian, Junjie Zheng, Yiding Tang, Boyang Yan, Hui Zhang

ICASSP 2025accepted

Clustering is a common method used in machine learning to group sample points in a dataset. Gaussian Mixture Clustering (GMC) is a clustering method based on maximum likelihood estimation and expectation maximisation (EM) algorithms. Traditional GMC does not consider the fairness between different s…

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2025

Individual Fairness for Fuzzy C-Means Clustering

Zhijing Yang, Boyang Yan, Junjie Zheng, Yiding Tang, Chuan Qian, Hui Zhang

ICASSP 2025accepted

In the field of clustering algorithms, the Fuzzy CMeans algorithm stands out for its ability to deal with uncertainty by assigning membership degrees to data points. However, research on the fairness of Fuzzy C-Means algorithms has mainly focused on group fairness, with limited attention to individu…

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