Peng Wang

Artificial Intelligence · with Zhou · 2021–2023

A researcher in the Science corpus: 7 papers; trusts 403 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Ross B. Girshick
  8. Yann LeCun
  9. Jimmy Ba
  10. Alex Graves

Who trusts Peng Wang overall

  1. Jiasen Lu
  2. Jinze Bai
  3. Wenliang Dai
  4. Zhiyang Xu
  5. Ting-Li Chen
  6. Yushi Hu
  7. Delong Chen
  8. Christopher Clark
  9. Jiahui Yu
  10. Yifan Li

Papers from Peng Wang's perspective

Ordered by how strongly the researchers Peng Wang 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers