Ting Liang

2 accepted papers

2026

Parameterized Approximation Schemes for Fair Clustering in Doubling Metrics

Xiaoliang Wu, Ting Liang, Zhize Li, Qilong Feng

IJCAI 2026

Fair clustering has garnered considerable attention, with various fairness notions proposed to ensure equitable representation across demographic groups. In this paper, we focus on the k-center problem in bounded doubling metrics under two popular fairness requirements: group fairness and data summa

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2025

A Single-Swap Local Search Algorithm for k-Means of Lines

Ting Liang, Xiaoliang Wu, Junyu Huang, Jianxin Wang, Qilong Feng

NeurIPS 2025poster

Clustering is a fundamental problem that has been extensively studied over past few decades, with most research focusing on point-based clustering such as $k$-means, $k$-median, and $k$-center. However, numerous real-world applications, such as motion analysis, computer vision, and missing data anal…

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