Liangjie Hong

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 9 papers; trusts 82 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Liangjie Hong trusts overall

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

  1. Yehuda Koren
  2. Geoffrey E. Hinton
  3. T. Griffiths
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ruslan Salakhutdinov
  7. Alex Krizhevsky
  8. Hanna M. Wallach
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Liangjie Hong overall

  1. Fred Morstatter
  2. Rediet Abebe
  3. Nasir Naveed
  4. Ugur Kursuncu
  5. Roman Egger
  6. Chenliang Li
  7. Jürgen Pfeffer
  8. Xiaohui Yan
  9. Filip Klubicka
  10. Rania Albalawi

Papers from Liangjie Hong's perspective

Ordered by how strongly the researchers Liangjie Hong 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. 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