Mingjian Chen

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Mingjian Chen trusts overall

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

  1. Jimmy Ba
  2. Geoffrey E. Hinton
  3. Xu Tan
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ashish Vaswani
  7. Heiga Zen
  8. Alex Graves
  9. Christophe Veaux
  10. Alex Krizhevsky

Who trusts Mingjian Chen overall

  1. Xu Tan
  2. Rongjie Huang
  3. Dong Min
  4. Tao Qin
  5. Yi Ren
  6. Minki Kang
  7. Yanqing Liu
  8. Neeraj Kumar
  9. Yuzi Yan
  10. Evelina Bakhturina

Papers from Mingjian Chen's perspective

Ordered by how strongly the researchers Mingjian Chen 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  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