Sujun Hua

Molecular Biology · 2001–2014

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Sujun Hua trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Yuhai Wu
  3. Burkhard Rost
  4. James A. Cuff
  5. Bernhard Schölkopf
  6. Bernhard E. Boser
  7. Christopher Sander
  8. Olof Emanuelsson
  9. Vladimir Naumovich Vapnik
  10. Terrence J. Sejnowski

Who trusts Sujun Hua overall

  1. Zhiyong Wang
  2. Keun-Joon Park
  3. Javier M. Moguerza
  4. Chin-Sheng Yu
  5. Kuo-Chen Chou
  6. Manoj Bhasin
  7. Rajesh Nair
  8. Jian Peng
  9. Søren Kaae Sønderby
  10. Minoru Kanehisa

Papers from Sujun Hua's perspective

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

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. A training algorithm for optimal margin classifiers
  10. Learning Multiple Layers of Features from Tiny Images

Their papers