Kai Chen

Artificial Intelligence · with Wang · 2014–2018

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Chen trusts overall

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

  1. Lingxiao Jiang
  2. Wu Zhou
  3. Yajin Zhou
  4. Mark Gabel
  5. Jonathan Crussell
  6. Chao Liu
  7. Xuxian Jiang
  8. Lutz Prechelt
  9. Zhendong Su
  10. Manuel Egele

Who trusts Kai Chen overall

  1. Michael Backes
  2. Hitesh Sajnani
  3. Annamalai Narayanan
  4. Felix Fischer
  5. Sven Bugiel
  6. Vaibhav Pratap Singh Saini
  7. Mahinthan Chandramohan
  8. Jeffrey Svajlenko
  9. Gang Zhao
  10. Konstantin Böttinger

Papers from Kai Chen's perspective

Ordered by how strongly the researchers Kai Chen 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. Intriguing properties of neural networks
  9. Explaining and Harnessing Adversarial Examples
  10. Learning Multiple Layers of Features from Tiny Images

Their papers