Kun Qian

Artificial Intelligence · with Yu · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 77 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Kun Qian trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Jimmy Ba
  6. Alex Graves
  7. Alex Krizhevsky
  8. Richard Socher
  9. Jiatao Gu
  10. Chelsea Finn

Who trusts Kun Qian overall

  1. Timo Schick
  2. Hinrich Schütze
  3. Zi-Yi Dou
  4. Yumo Xu
  5. Keyi Yu
  6. Chenguang Zhu
  7. Andrea Madotto
  8. Antonios Anastasopoulos
  9. Baolin Peng

Papers from Kun Qian's perspective

Ordered by how strongly the researchers Kun Qian 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. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers