Xiyang Hu

Artificial Intelligence · IEEE Transactions on Knowledge and Data Engineering · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiyang Hu trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Charu C. Aggarwal
  6. Yann LeCun
  7. Bernhard Schölkopf
  8. Diederik P. Kingma
  9. L. V. D. van der Maaten
  10. Ilya Sutskever

Papers from Xiyang Hu's perspective

Ordered by how strongly the researchers Xiyang Hu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers