Juncen Li

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Juncen Li trusts overall

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

  1. Matthew D. Zeiler
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ian J. Goodfellow
  5. Yann LeCun
  6. Pascal Vincent
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Ruslan Salakhutdinov

Who trusts Juncen Li overall

  1. Emily Sheng
  2. Anthony Rios
  3. Alisa Liu
  4. Di Jin
  5. Machel Reid
  6. Zhijing Jin
  7. Kalpesh Krishna
  8. Zhiqiang Hu
  9. Mirac Suzgun
  10. Peng Xu

Papers from Juncen Li's perspective

Ordered by how strongly the researchers Juncen Li 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. 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. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers