Gang Niu

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 13 papers; trusts 346 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Gang Niu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Shun-ichi Amari
  10. Peter L. Bartlett

Who trusts Gang Niu overall

  1. Jessa Bekker
  2. Ching-Yao Chuang
  3. Danfei Xu
  4. Joshua Robinson
  5. Sana Tonekaboni
  6. Ryuichi Kiryo
  7. Hwanjun Song
  8. Marthinus Christoffel du Plessis
  9. Hongxin Wei
  10. Giorgio Patrini

Papers from Gang Niu's perspective

Ordered by how strongly the researchers Gang Niu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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