Hao Dong

Computer Vision and Pattern Recognition · with Guo · 2016–2018

A researcher in the Science corpus: 5 papers; trusts 291 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Dong trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Kaiming He
  7. Sergey Ioffe
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Christian Szegedy

Who trusts Hao Dong overall

  1. Huy P Phan
  2. Bowen Li
  3. Weihao Xia
  4. Jiadong Liang
  5. Tsu-Jui Fu
  6. Nahian Alam Siddique
  7. Seonghyeon Nam
  8. Hao Wang
  9. Or Patashnik
  10. Kai Zhang

Papers from Hao Dong's perspective

Ordered by how strongly the researchers Hao Dong 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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