Meeyoung Cha

Statistical and Nonlinear Physics · 2007–2017

A researcher in the Science corpus: 14 papers; trusts 34 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Meeyoung Cha trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mark Newman
  2. Gregory Kossinets
  3. Santo Fortunato
  4. Duncan J. Watts
  5. Cheng Huang
  6. Michael M. Mitzenmacher
  7. Carlos Castillo
  8. Hamed Haddadi
  9. Krishna P. Gummadi
  10. Sejeong Kwon

Who trusts Meeyoung Cha overall

  1. Jing Ma
  2. Farshad Kooti
  3. Kai Shu
  4. Sejeong Kwon
  5. Krishna P. Gummadi
  6. Manuel Gomez-Rodriguez
  7. Sandra González-Bailón
  8. Olivier Toubia
  9. Gang Wang
  10. Jaram Park

Papers from Meeyoung Cha's perspective

Ordered by how strongly the researchers Meeyoung Cha trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Generating Sequences With Recurrent Neural Networks
  7. The Strength of Weak Ties
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Deep Learning

Their papers