Kuansan Wang

Artificial Intelligence · 2001–2020

A researcher in the Science corpus: 11 papers; trusts 186 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Kuansan Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Kaiming He
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Thomas Kipf
  8. Ilya Loshchilov
  9. Max Welling
  10. Yann LeCun

Who trusts Kuansan Wang overall

  1. Weihua Hu
  2. Dongkwan Kim
  3. Xiao Liu
  4. Yuxiao Dong
  5. Vijay Prakash Dwivedi
  6. Ziniu Hu
  7. Bernard J. Koch
  8. Matthias Fey
  9. Alice H. Oh
  10. Li Deng

Papers from Kuansan Wang's perspective

Ordered by how strongly the researchers Kuansan Wang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers