4 papers · 1 filter
Parameterized and Streaming Algorithms for Euclidean Fair -Center Clustering
Zeyu Lin, Chaoqi Jia, Longkun Guo +1
Motivated by the growing importance of fairness in machine learning, fair -center clustering has attracted considerable research attention as a fundamental problem. In this prob…
Toward Trustworthy AI: Multi-Target Adversarial Attacks and Robust Defenses for Continuous Data Summarization
Yuefang Lian, Longkun Guo, Zhongrui Zhao +5
Trustworthy AI requires reliable data-processing pipelines, not only robust downstream predictive models. As an upstream component, data summarization determines which information…
Approximation Algorithm for Constrained -Center Clustering: A Local Search Approach
Chaoqi Jia, Longkun Guo, Kewen Liao +3
Clustering is a long-standing research problem and a fundamental tool in AI and data analysis. The traditional k-center problem, a fundamental theoretical challenge in clustering,…
Optimized Algorithms for Text Clustering with LLM-Generated Constraints
Chaoqi Jia, Weihong Wu, Longkun Guo +3
Clustering is a fundamental tool that has garnered significant interest across a wide range of applications including text analysis. To improve clustering accuracy, many researcher…