5 papers
Multi-View Fair Clustering Guided by Cross-View Sensitive Information Discrepancy
Mudi Jiang, Jiahui Zhou, Xinying Liu +2
Multi-view clustering (MVC) aims to uncover latent cluster structures by exploiting complementary information from multiple views. Despite substantial progress in clustering perfor…
Interpretable Fair Clustering
Mudi Jiang, Jiahui Zhou, Xinying Liu +2
Fair clustering has gained increasing attention in recent years, especially in applications involving socially sensitive attributes. However, existing fair clustering methods often…
Adversarial Fair Multi-View Clustering
Mudi Jiang, Jiahui Zhou, Lianyu Hu +3
Cluster analysis is a fundamental problem in data mining and machine learning. In recent years, multi-view clustering has attracted increasing attention due to its ability to integ…
How Far Are AI Scientists from Changing the World?
Qiujie Xie, Yixuan Weng, Minjun Zhu +9
The emergence of large language models (LLMs) is propelling automated scientific discovery to the next level, with LLM-based Artificial Intelligence (AI) Scientist systems now taki…
Sailor: Open Language Models for South-East Asia
Longxu Dou, Qian Liu, Guangtao Zeng +4
We present Sailor, a family of open language models ranging from 0.5B to 7B parameters, tailored for South-East Asian (SEA) languages. These models are continually pre-trained from…