Dehong Ma

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Dehong Ma trusts overall

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

  1. Diederik P. Kingma
  2. Richard Socher
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Yann LeCun
  6. Bo Pang
  7. Christopher D. Manning
  8. Sepp Hochreiter
  9. Ilya Sutskever
  10. Mirella Lapata

Who trusts Dehong Ma overall

  1. Binxuan Huang
  2. Xin Li
  3. Zhuang Chen
  4. Gianni Brauwers
  5. Wei Xue
  6. Andrea Galassi
  7. Feifan Fan
  8. Kathleen M. Carley
  9. Zhengjie Gao
  10. Bin Liang

Papers from Dehong Ma's perspective

Ordered by how strongly the researchers Dehong Ma 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. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers