activity
20202023
most citedATD: Augmenting CP Tensor Decomposition by Self Supervision

6 citations · 31 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.LG2023★ 3 cited

ManyDG: Many-domain Generalization for Healthcare Applications

Chaoqi Yang, M. Brandon Westover, Jimeng Sun

The vast amount of health data has been continuously collected for each patient, providing opportunities to support diverse healthcare predictive tasks such as seizure detection an…

cs.LG2022★ 2 cited

MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction

Junyi Gao, Chaoqi Yang, George Heintz +7

The COVID-19 pandemic has caused devastating economic and social disruption, straining the resources of healthcare institutions worldwide. This has led to a nationwide call for mod…

cs.LG2022★ 1 cited

GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion

Chaoqi Yang, Cheng Qian, Jimeng Sun

Low-rank tensor factorization or completion is well-studied and applied in various online settings, such as online tensor factorization (where the temporal mode grows) and online t…

cs.LG2021★ 2 cited

Change Matters: Medication Change Prediction with Recurrent Residual Networks

Chaoqi Yang, Cao Xiao, Lucas Glass +1

Deep learning is revolutionizing predictive healthcare, including recommending medications to patients with complex health conditions. Existing approaches focus on predicting all m…

cs.LG2021★ 5 cited

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations

Chaoqi Yang, Cao Xiao, Fenglong Ma +2

Medication recommendation is an essential task of AI for healthcare. Existing works focused on recommending drug combinations for patients with complex health conditions solely bas…

cs.LG2020★ 2 cited

Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion

Chaoqi Yang, Ruijie Wang, Shuochao Yao +1

Previous hypergraph expansions are solely carried out on either vertex level or hyperedge level, thereby missing the symmetric nature of data co-occurrence, and resulting in inform…