8 citations · 13 across the 2 of their papers we have counts for
7 papers
Persona Authentication through Generative Dialogue
Fengyi Tang, Lifan Zeng, Fei Wang +1
In this paper we define and investigate the problem of \emph{persona authentication}: learning a conversational policy to verify the consistency of persona models. We propose a lea…
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records
Xi Sheryl Zhang, Fengyi Tang, Hiroko Dodge +2
In recent years, increasingly augmentation of health data, such as patient Electronic Health Records (EHR), are becoming readily available. This provides an unprecedented opportuni…
Boosted Sparse and Low-Rank Tensor Regression
Lifang He, Kun Chen, Wanwan Xu +2
We propose a sparse and low-rank tensor regression model to relate a univariate outcome to a feature tensor, in which each unit-rank tensor from the CP decomposition of the coeffic…
Model-Protected Multi-Task Learning
Jian Liang, Ziqi Liu, Jiayu Zhou +3
Multi-task learning (MTL) refers to the paradigm of learning multiple related tasks together. In contrast, in single-task learning (STL) each individual task is learned independent…
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease
Xi Sheryl Zhang, Lifang He, Kun Chen +3
Parkinson's Disease (PD) is one of the most prevalent neurodegenerative diseases that affects tens of millions of Americans. PD is highly progressive and heterogeneous. Quite a few…
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
Tengfei Ma, Cao Xiao, Jiayu Zhou +1
Drug similarity has been studied to support downstream clinical tasks such as inferring novel properties of drugs (e.g. side effects, indications, interactions) from known properti…