activity
20112019
most citedCompressing Convolutional Neural Networks

32 citations · 39 across the 2 of their papers we have counts for

collaborators

6 papers

cs.LG2019

A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room

Zhicheng Cui, Bradley A Fritz, Christopher R King +2

Logistic regression (LR) is widely used in clinical prediction because it is simple to deploy and easy to interpret. Nevertheless, being a linear model, LR has limited expressive c…

cs.IR2019

Inductive Matrix Completion Based on Graph Neural Networks

Muhan Zhang, Yixin Chen

We propose an inductive matrix completion model without using side information. By factorizing the (rating) matrix into the product of low-dimensional latent embeddings of rows (us…

cs.LG2019

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

Muhan Zhang, Shali Jiang, Zhicheng Cui +2

Graph structured data are abundant in the real world. Among different graph types, directed acyclic graphs (DAGs) are of particular interest to machine learning researchers, as man…

cs.LG2018

Link Prediction Based on Graph Neural Networks

Muhan Zhang, Yixin Chen

Link prediction is a key problem for network-structured data. Link prediction heuristics use some score functions, such as common neighbors and Katz index, to measure the likelihoo…

cs.LG201532 cited

Compressing Convolutional Neural Networks

Wenlin Chen, James T. Wilson, Stephen Tyree +2

Convolutional neural networks (CNN) are increasingly used in many areas of computer vision. They are particularly attractive because of their ability to "absorb" great quantities o…

cs.AI20117 cited

Theory and Algorithms for Partial Order Based Reduction in Planning

You Xu, Yixin Chen, Qiang Lu +1

Search is a major technique for planning. It amounts to exploring a state space of planning domains typically modeled as a directed graph. However, prohibitively large sizes of the…