Xiaomeng Jin

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaomeng Jin trusts overall

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

  1. Ian J. Goodfellow
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Christian Szegedy
  6. Jonas Rauber
  7. Alex Krizhevsky
  8. Nicolas Papernot
  9. J. Kolter
  10. Alexey Kurakin

Who trusts Xiaomeng Jin overall

  1. Gavin Weiguang Ding

Papers from Xiaomeng Jin's perspective

Ordered by how strongly the researchers Xiaomeng Jin 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  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