Bingjing Zhang

Optimization & Training · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bingjing Zhang trusts overall

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

  1. Jan de Leeuw
  2. Jerzy Jurka
  3. Ken Lang
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Vinod Nair
  7. Simon S. Haykin
  8. James Cipar
  9. L. Eon Bottou
  10. Yoshua Bengio

Who trusts Bingjing Zhang overall

  1. Yuxi Li
  2. Songze Li

Papers from Bingjing Zhang's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Large Scale Distributed Deep Networks
  5. Rectified Linear Units Improve Restricted Boltzmann Machines
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers