Ching-pei Lee

Artificial Intelligence · with Chang · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Ching-pei Lee trusts overall

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

  1. Shai Shalev-Shwartz
  2. Yurii E. Nesterov
  3. Tong Zhang
  4. Vladimir Naumovich Vapni
  5. Yuchen Zhang
  6. Tianbao Yang
  7. Trond Steihaug
  8. Chih-Jen Lin
  9. Koby Crammer
  10. Paul Tseng

Who trusts Ching-pei Lee overall

  1. Chenxin Ma
  2. Virginia Smith
  3. Jakub Konecný
  4. Lie He
  5. Martin Jaggi
  6. Martin Takác
  7. An Bian
  8. Simone Forte
  9. Celestine Mendler-Dünner
  10. Shun Zheng

Papers from Ching-pei Lee's perspective

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

Their papers