Xiang Chen

Artificial Intelligence · with Liu · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Xiang Chen trusts overall

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

  1. Ian J. Goodfellow
  2. Karen Simonyan
  3. Inderjit S. Dhillon
  4. Ulrike von Luxburg
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Christian Szegedy
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Andrew Zisserman

Who trusts Xiang Chen overall

  1. Jiasi Chen
  2. Zhi Zhou
  3. Liekang Zeng
  4. Zhuoran Zhao
  5. Xu Chen
  6. Yuanming Shi

Papers from Xiang Chen's perspective

Ordered by how strongly the researchers Xiang Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers