Jiaqi Guan

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiaqi Guan trusts overall

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

  1. Ronald J. Williams
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Yoshua Bengio
  6. Alex Graves
  7. Diederik P. Kingma
  8. Sergey Ioffe
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Jiaqi Guan overall

  1. Xin Wang
  2. Daniel Crankshaw
  3. Ling Yang
  4. Sergey I. Nikolenko
  5. Fisher Yu

Papers from Jiaqi Guan's perspective

Ordered by how strongly the researchers Jiaqi Guan 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers