Junyuan Hong

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Junyuan Hong trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Yann LeCun
  7. Jimmy Ba
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. H. Brendan McMahan

Who trusts Junyuan Hong overall

  1. Jiahua Dong
  2. Mang Ye
  3. Alysa Ziying Tan
  4. Lin Zhang

Papers from Junyuan Hong's perspective

Ordered by how strongly the researchers Junyuan Hong 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