Jiawen Kang

Artificial Intelligence · with Li · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiawen Kang trusts overall

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

  1. Joon Son Chung
  2. Sergey Ioffe
  3. Andrew Zisserman
  4. Arsha Nagrani
  5. Florin Curelaru
  6. Jiankang Deng
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Karen Simonyan
  10. Kaiming He

Papers from Jiawen Kang's perspective

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

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

Their papers