Yu Wang

Statistical and Nonlinear Physics · with Cong · 2010

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Wang trusts overall

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

  1. David Kempe
  2. Jianbo Shi
  3. Mark Newman
  4. Yajun Wang
  5. Jon M. Kleinberg
  6. Aaron Clauset
  7. Usha Nandini Raghavan
  8. Réka Albert
  9. Jure Leskovec
  10. Jitendra Malik

Who trusts Yu Wang overall

  1. Kyomin Jung
  2. Wei Chen
  3. Yuchen Li
  4. Linyuan Lu
  5. Alex Collins
  6. Wooram Heo
  7. Laks V. S. Lakshmanan
  8. Youze Tang
  9. Ju Fan

Papers from Yu Wang's perspective

Ordered by how strongly the researchers Yu Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. Normalized cuts and image segmentation
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers