Jianxu Chen

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianxu Chen trusts overall

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

  1. Kaiming He
  2. Sepp Hochreiter
  3. J. Urgen Schmidhuber
  4. Ronan Collobert
  5. Geoffrey E. Hinton
  6. Olaf Ronneberger
  7. X. Zhang
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Jianxu Chen overall

  1. Steffen Wiewel
  2. Mohammad Hesam Hesamian
  3. Ali Hatamizadeh
  4. Swarnendu Ghosh
  5. Fangzhou Liao
  6. Yuyin Zhou
  7. Geert J. S. Litjens
  8. Siqi Liu
  9. Xiangde Luo
  10. Daguang Xu

Papers from Jianxu Chen's perspective

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

Their papers