Wei Chen

Statistical and Nonlinear Physics · with Castillo · 2013

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Chen trusts overall

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

  1. Jon M. Kleinberg
  2. Mark Newman
  3. Jure Leskovec
  4. Konstantin Avrachenkov
  5. Parag Singla
  6. Matthew Richardson
  7. David Kempe
  8. Kazumi Saito
  9. Eldar Sadikov
  10. Yu Wang

Who trusts Wei Chen overall

  1. Jiliang Tang
  2. Yuchen Li
  3. Yi Chang
  4. Ju Fan

Papers from Wei Chen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Maximizing the spread of influence through a social network
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers