Cong Fang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 90 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Cong Fang trusts overall

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

  1. Yurii E. Nesterov
  2. Zeyuan Allen-Zhu
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Kaiming He
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Francis R. Bach
  10. Simon Shaolei Du

Who trusts Cong Fang overall

  1. Rachel A. Ward
  2. Ashok Cutkosky
  3. Tianbao Yang
  4. Greg Yang
  5. Xiaoxia Wu
  6. Cyrille W. Combettes
  7. Luo Luo
  8. Dylan J. Foster
  9. Quoc Tran-Dinh
  10. Sai Praneeth Karimireddy

Papers from Cong Fang's perspective

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

Their papers