Xiangyi Chen

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 8 papers; trusts 51 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Xiangyi Chen trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Kaiming He
  6. Sashank J. Reddi
  7. Yoshua Bengio
  8. Matthew D. Zeiler
  9. John C. Duchi
  10. H. Brendan McMahan

Who trusts Xiangyi Chen overall

  1. Fangyu Zou
  2. Leonard Berrada
  3. Li Shen
  4. Xiaoxia Wu
  5. Woongsup Lee
  6. Jinghui Chen
  7. Jeremy M. Cohen
  8. Alexandre D'efossez
  9. Hoon Lee
  10. Liangchen Luo

Papers from Xiangyi Chen's perspective

Ordered by how strongly the researchers Xiangyi 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. 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. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers