Haizhang Zhang

Statistical Learning Theory · 2006–2011

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Haizhang Zhang trusts overall

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

  1. Ingrid Daubechies
  2. Stéphane Mallat
  3. Christopher K. I. Williams
  4. Charles A. Micchelli
  5. John Shawe-Taylor
  6. Massimiliano Pontil
  7. Theodoros Evgeniou
  8. Bernhard Schölkopf
  9. Steve Smale
  10. Marian J. Fabian

Who trusts Haizhang Zhang overall

  1. Bharath K. Sriperumbudur
  2. Kenji Fukumizu
  3. Krikamol Muandet
  4. Jun Zhang
  5. Clint Scovel
  6. Houman Owhadi
  7. Bernhard Schölkopf
  8. Cencheng Shen
  9. Ching-An Cheng
  10. Gert R. G. Lanckriet

Papers from Haizhang Zhang's perspective

Ordered by how strongly the researchers Haizhang Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. The Elements of Statistical Learning

Their papers