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Yixin Chen

6 papers hereh-index 4511k citations203 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI1
  • cs.IR1
same name
  • Yixin Chen — 29 papers, h 20
  • Yixin Chen — 12 papers, h 5
  • Yixin Chen — 11 papers, h 5
  • Yixin Chen — 10 papers, h 11
  • Yixin Chen — 9 papers, h 5
  • Yixin Chen — 9 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112019
most citedCompressing Convolutional Neural Networks

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

collaborators
Showing cs.LGShow all

4 papers · 1 filter

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.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.LG2015★ 32 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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.