Jie-Zhi Cheng

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie-Zhi Cheng trusts overall

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

  1. Vladimir Vezhnevets
  2. Pascal Vincent
  3. Heung-Il Suk
  4. Chunming Li
  5. Hugo Larochelle
  6. Pierre Sermanet
  7. Yoshua Bengio
  8. Hoo-Chang Shin
  9. Geoffrey E. Hinton
  10. Wenlu Zhang

Who trusts Jie-Zhi Cheng overall

  1. M. Bakator
  2. Yu-An Chung
  3. Dinggang Shen
  4. Qinghua Huang
  5. Mufti Mahmud
  6. June-Goo Lee
  7. Shengfeng Liu
  8. Geert J. S. Litjens
  9. Ghulam Murtaza
  10. Wei-Hung Weng

Papers from Jie-Zhi Cheng's perspective

Ordered by how strongly the researchers Jie-Zhi Cheng 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers