Chong Zhou

Artificial Intelligence · with He · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Chong Zhou trusts overall

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

  1. David L. Donoho
  2. Pascal Vincent
  3. Yoshua Bengio
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. David E. Rumelhart
  7. Honglak Lee
  8. Hugo Larochelle
  9. Fei Tony Liu
  10. L. Eon Bottou

Who trusts Chong Zhou overall

  1. Guansong Pang
  2. Raghavendra Chalapathy
  3. Houssam Zenati
  4. Benjamin Lindemann
  5. Wenpeng Hu
  6. Xin Sun
  7. Ryota Yoshihashi
  8. Yezheng Liu
  9. Lukas Ruff
  10. Chuxu Zhang

Papers from Chong Zhou's perspective

Ordered by how strongly the researchers Chong Zhou 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers