Qiuqiang Kong

Computer Vision and Pattern Recognition · 2017–2023

A researcher in the Science corpus: 7 papers; trusts 221 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Qiuqiang Kong trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Annamaria Mesaros
  4. Alex Krizhevsky
  5. Vinod Nair
  6. Kaiming He
  7. Karen Simonyan
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Jimmy Ba

Who trusts Qiuqiang Kong overall

  1. Eduardo Fonseca
  2. Luyu Wang
  3. Andrew Jaegle
  4. Changsong Yu
  5. Benjamin Elizalde
  6. Yuan Gong
  7. Hubert Siuzdak
  8. Hassan Akbari
  9. Yusong Wu
  10. Wen Wang

Papers from Qiuqiang Kong's perspective

Ordered by how strongly the researchers Qiuqiang Kong 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers