Kexin Huang

Molecular Biology · 2019–2023

A researcher in the Science corpus: 8 papers; trusts 85 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Kexin Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Alex Graves
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Sepp Hochreiter
  8. J. Urgen Schmidhuber
  9. Yann LeCun
  10. Tomas Mikolov

Who trusts Kexin Huang overall

  1. Zabir Al Nazi
  2. Silvio Amir
  3. Anja Reusch
  4. Yi Yang
  5. Yuqi Si
  6. Jay DeYoung
  7. Yuxian Gu
  8. Haoran Zhang
  9. Junlong Li
  10. Shaoxiong Ji

Papers from Kexin Huang's perspective

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

Their papers