Pengcheng Guo

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pengcheng Guo trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Daniel Povey
  4. Yoshua Bengio
  5. Ashish Vaswani
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Adrian La'ncucki
  9. Alex Krizhevsky
  10. Dong Yu

Who trusts Pengcheng Guo overall

  1. Ye Jia
  2. Mohammed Salah Al-Radhi
  3. Michelle Tadmor Ramanovich
  4. Takuhiro Kaneko
  5. Richard He Bai

Papers from Pengcheng Guo's perspective

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

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

Their papers