Gang Wu

Artificial Intelligence · with Chang · 2003–2005

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Gang Wu trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Leo Breiman
  3. Simon Tong
  4. Thorsten Joachims
  5. Christopher K. I. Williams
  6. Andrew P. Bradley
  7. Nitesh V. Chawla
  8. Edward Y. Chang
  9. Gary M. Weiss
  10. Si Wu

Who trusts Gang Wu overall

  1. Haibo He
  2. Rukshan Batuwita
  3. Edwardo A. Garcia
  4. Vasile Palade
  5. Hien M. Nguyen
  6. Yanmin Sun
  7. Hui Han
  8. Rehan Akbani
  9. Xinjian Guo
  10. Charu C. Aggarwal

Papers from Gang Wu's perspective

Ordered by how strongly the researchers Gang Wu 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. The Nature of Statistical Learning Theory
  4. Statistical Learning Theory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  10. Long Short-Term Memory

Their papers