Gavin Weiguang Ding

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 149 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Gavin Weiguang Ding trusts overall

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

  1. Ian J. Goodfellow
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Christian Szegedy
  7. Yann LeCun
  8. Nicholas Carlini
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Gavin Weiguang Ding overall

  1. Naveed Akhtar
  2. Yu Sun
  3. Dongxian Wu
  4. Angus Galloway
  5. Kry Yik-Chau Lui
  6. Luyu Wang
  7. Francesco Croce
  8. Alexander Robey
  9. Tao Bai
  10. Yisen Wang

Papers from Gavin Weiguang Ding's perspective

Ordered by how strongly the researchers Gavin Weiguang Ding 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers