Jing Huang

Artificial Intelligence · with Zhang · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 182 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Huang trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Thomas Kipf
  5. Yann LeCun
  6. Max Welling
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Richard Socher
  10. Keyulu Xu

Who trusts Jing Huang overall

  1. Xu Chen
  2. Aminu Da’u
  3. Iz Beltagy
  4. Yi Tay
  5. Yongfeng Zhang
  6. Mengnan Du
  7. Yichao Lu
  8. Chenliang Li
  9. Roberto Confalonieri

Papers from Jing Huang's perspective

Ordered by how strongly the researchers Jing Huang 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers