Chong Chen

Artificial Intelligence · with Liu · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Chong Chen trusts overall

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

  1. Yehuda Koren
  2. Ruslan Salakhutdinov
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Tomas Mikolov
  8. Diederik P. Kingma
  9. Dzmitry Bahdanau
  10. Xiangnan He

Who trusts Chong Chen overall

  1. Xu Chen
  2. Yongfeng Zhang
  3. Wenqi Fan
  4. Hanxiong Chen
  5. Xiting Wang
  6. Chenliang Li
  7. Libing Wu
  8. Yiyi Tao
  9. Jingyue Gao
  10. Cong Quan

Papers from Chong Chen's perspective

Ordered by how strongly the researchers Chong Chen 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers