no code implementations • ICCV 2023 • Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yueting Zhuang
Conventional multi-label classification (MLC) methods assume that all samples are fully labeled and identically distributed.
no code implementations • 10 Apr 2023 • Changshuo Liu, Wenqiao Zhang, Beng Chin Ooi, James Wei Luen Yip, Lingze Zeng, Kaiping Zheng
In this paper, we propose a universal COhort Representation lEarning (CORE) framework to augment EHR utilization by leveraging the fine-grained cohort information among patients.
no code implementations • 30 Mar 2023 • Wenqiao Zhang, Changshuo Liu, Can Cui, Beng Chin Ooi
In this paper, we analyze the SSDA problem from two perspectives that have previously been overlooked, and correspondingly decompose it into two \emph{key subproblems}: \emph{robust domain adaptation (DA) learning} and \emph{maximal cross-domain data utilization}.
no code implementations • 10 Jan 2023 • Kaiping Zheng, Thao Nguyen, Jesslyn Hwei Sing Chong, Charlene Enhui Goh, Melanie Herschel, Hee Hoon Lee, Changshuo Liu, Beng Chin Ooi, Wei Wang, James Yip
In this paper, we share our experience in addressing this issue and attaining medical-grade nutrient intake information to benefit Singaporeans in different aspects.