Suhang Wang

Artificial Intelligence · Knowledge Discovery and Data Mining · 2016–2020

A researcher in the Science corpus: 13 papers; trusts 396 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Suhang Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Karen Simonyan
  8. Kaiming He
  9. Oriol Vinyals
  10. Alex Graves

Who trusts Suhang Wang overall

  1. Kai Shu
  2. Xinyi Zhou
  3. X. Shen
  4. Tyler Derr
  5. Peng Cui
  6. Hongwei Wang
  7. Yi-Ju Lu
  8. Neema Kotonya
  9. Ray Oshikawa
  10. Yao Ma

Papers from Suhang Wang's perspective

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

Their papers