Shuxin Zheng

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 46 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Shuxin Zheng trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Kaiming He
  5. L. Eon Bottou
  6. Yann LeCun
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Eric R. Ziegel

Who trusts Shuxin Zheng overall

  1. Hanlin Tang
  2. Karanbir Singh Chahal
  3. Cong Xie
  4. Yemao Xu
  5. Umut Simsekli
  6. J. Daily
  7. Shansi Zhang
  8. Manraj Singh Grover
  9. Shaoduo Gan

Papers from Shuxin Zheng's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers