68 citations · 133 across the 5 of their papers we have counts for
5 papers
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events
Mohammad Shiri, Jiangwen Sun
Deep neural networks trained for predicting cellular events from DNA sequence have become emerging tools to help elucidate the biological mechanism underlying the associations iden…
Edge Attention-based Multi-Relational Graph Convolutional Networks
Chao Shang, Qinqing Liu, Ko-Shin Chen +4
Graph convolutional network (GCN) is generalization of convolutional neural network (CNN) to work with arbitrarily structured graphs. A binary adjacency matrix is commonly used in…
VIGAN: Missing View Imputation with Generative Adversarial Networks
Chao Shang, Aaron Palmer, Jiangwen Sun +3
In an era when big data are becoming the norm, there is less concern with the quantity but more with the quality and completeness of the data. In many disciplines, data are collect…
On Multiplicative Multitask Feature Learning
Xin Wang, Jinbo Bi, Shipeng Yu +1
We investigate a general framework of multiplicative multitask feature learning which decomposes each task's model parameters into a multiplication of two components. One of the co…
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction
Tingyang Xu, Jiangwen Sun, Jinbo Bi
Longitudinal analysis is important in many disciplines, such as the study of behavioral transitions in social science. Only very recently, feature selection has drawn adequate atte…