Chen Wang

Computer Vision and Pattern Recognition · Conference on Robot Learning · 2017–2022

A researcher in the Science corpus: 11 papers; trusts 693 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Wang trusts overall

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

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

Who trusts Chen Wang overall

  1. Yuheng Qiu
  2. Wenshan Wang
  3. Haoxuan Qu
  4. Gu Wang
  5. Meng Tian
  6. Sebastian A. Scherer
  7. Ajay Mandlekar
  8. Yann Labb'e
  9. Xingyu Liu
  10. Yisheng He

Papers from Chen Wang's perspective

Ordered by how strongly the researchers Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers