Furong Huang

Artificial Intelligence · 2015–2022

A researcher in the Science corpus: 9 papers; trusts 272 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Furong Huang trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Christian Szegedy
  10. Karen Simonyan

Who trusts Furong Huang overall

  1. Simon Shaolei Du
  2. Eugene Belilovsky
  3. Jason D. Lee
  4. Atsushi Nitanda
  5. Yuanzhi Li
  6. Zeyuan Allen-Zhu
  7. Jonas Köhler
  8. Yigitcan Kaya
  9. Kfir Yehuda Levy
  10. Kenji Kawaguchi

Papers from Furong Huang's perspective

Ordered by how strongly the researchers Furong Huang 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. 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. 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