Chaoqi Wang

Artificial Intelligence · 4 papers · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 321 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Chaoqi Wang trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Yann LeCun
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. James Martens
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Alex Graves
  10. Andrew Zisserman

Who trusts Chaoqi Wang overall

  1. Yang He
  2. Mikhail Khodak
  3. Sidak Pal Singh
  4. Dan Alistarh
  5. Lingao Xiao
  6. Elias Frantar
  7. Wuyang Chen
  8. Eugenia Iofinova
  9. Mohamed S. Abdelfattah
  10. Hidenori Tanaka

Papers from Chaoqi Wang's perspective

Ordered by how strongly the researchers Chaoqi 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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