most citedToward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2023

Automated Code Editing with Search-Generate-Modify

Changshu Liu, Pelin Cetin, Yogesh Patodia +3

Code editing is essential in evolving software development. Many automated code editing tools have been proposed that leverage both Information Retrieval-based techniques and Machi…

cs.LG2023

Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels

Wenqiao Zhang, Changshuo Liu, Lingze Zeng +3

Conventional multi-label classification (MLC) methods assume that all samples are fully labeled and identically distributed. Unfortunately, this assumption is unrealistic in large-…

cs.LG2023★ 2 cited

Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis

Changshuo Liu, Wenqiao Zhang, Beng Chin Ooi +3

Electronic Health Records (EHR) are generated from clinical routine care recording valuable information of broad patient populations, which provide plentiful opportunities for impr…

cs.CV2023★ 1 cited

CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation

Wenqiao Zhang, Changshuo Liu, Can Cui +1

Semi-supervised domain adaptation (SSDA) adapts a learner to a new domain by effectively utilizing source domain data and a few labeled target samples. It is a practical yet under-…

cs.LG2023

From Plate to Prevention: A Dietary Nutrient-aided Platform for Health Promotion in Singapore

Kaiping Zheng, Thao Nguyen, Jesslyn Hwei Sing Chong +7

Singapore has been striving to improve the provision of healthcare services to her people. In this course, the government has taken note of the deficiency in regulating and supervi…