Linyuan Gong

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Linyuan Gong trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Kaiming He
  8. Oriol Vinyals
  9. Sepp Hochreiter
  10. Richard Socher

Who trusts Linyuan Gong overall

  1. Derya Soydaner
  2. Minjia Zhang
  3. Yujia Qin
  4. Mengzhou Xia
  5. Albert Zeyer
  6. Fangxiaoyu Feng
  7. Zhenzhong Lan
  8. Liang Chen
  9. Hang Le
  10. Yuxiong He

Papers from Linyuan Gong's perspective

Ordered by how strongly the researchers Linyuan Gong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers