Cong Han

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 208 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Cong Han trusts overall

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

  1. Jaehyeon Kim
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Jungil Kong
  5. Heiga Zen
  6. Ilya Loshchilov
  7. Yoshua Bengio
  8. Nima Mesgarani
  9. Alex Krizhevsky
  10. Tim Salimans

Who trusts Cong Han overall

  1. Nima Mesgarani
  2. Vinay S. Raghavan
  3. Gavin Mischler
  4. Xilin Jiang
  5. Edresson Casanova
  6. Zeqian Ju

Papers from Cong Han's perspective

Ordered by how strongly the researchers Cong Han 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers