Shiyu Huang

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 365 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Shiyu Huang trusts overall

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

  1. Diederik P. Kingma
  2. Piotr Doll'ar
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ross B. Girshick
  9. Ilya Sutskever
  10. Yaroslav Ganin

Who trusts Shiyu Huang overall

  1. Ayush Jaiswal
  2. Markus Braun
  3. Wael AbdAlmageed
  4. Sebastian Krebs
  5. Chao Yu
  6. Yue Wu
  7. Fabian B. Flohr

Papers from Shiyu Huang's perspective

Ordered by how strongly the researchers Shiyu Huang 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers