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Y. Guan

8 papers hereh-index 191k citations53 works total

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

author position
  • middle author4
  • last author2

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL4
same name
  • Y. Guan — 88 papers, h 43
  • Y. Guan — 43 papers, h 54
  • Y. Guan — 39 papers, h 7
  • Y. Guan — 33 papers, h 20
  • Y. Guan — 23 papers
  • Y. Guan — 7 papers, h 14

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

most citedEMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning

2 citations · 4 across the 5 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2018

Convolutional Gated Recurrent Units for Medical Relation Classification

Bin He, Yi Guan, Rui Dai

Convolutional neural network (CNN) and recurrent neural network (RNN) models have become the mainstream methods for relation classification. We propose a unified architecture, whic…

cs.CL2018

Classifying medical relations in clinical text via convolutional neural networks

Bin He, Yi Guan, Rui Dai

Deep learning research on relation classification has achieved solid performance in the general domain. This study proposes a convolutional neural network (CNN) architecture with a…

cs.CL2017★ 1 cited

De-identification of medical records using conditional random fields and long short-term memory networks

Zhipeng Jiang, Chao Zhao, Bin He +2

The CEGS N-GRID 2016 Shared Task 1 in Clinical Natural Language Processing focuses on the de-identification of psychiatric evaluation records. This paper describes two participatin…

cs.CL2017

Constructing a Hierarchical User Interest Structure based on User Profiles

Chao Zhao, Min Zhao, Yi Guan

The interests of individual internet users fall into a hierarchical structure which is useful in regards to building personalized searches and recommendations. Most studies on this…

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