Kewei Cheng

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kewei Cheng trusts overall

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

  1. Cynthia Dwork
  2. Robert Tibshirani
  3. Trevor J. Hastie
  4. Geoffrey E. Hinton
  5. Pascal Paillier
  6. Jerome H. Friedman
  7. Alex Krizhevsky
  8. Huan Liu
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Kewei Cheng overall

  1. Yang Liu
  2. Haokun Fang
  3. Qinbin Li
  4. Xuefei Yin
  5. Hangyu Zhu
  6. Yiqiang Chen
  7. Ahmed Imteaj
  8. Zhouyuan Huo
  9. Runhua Xu
  10. Chengliang Zhang

Papers from Kewei Cheng's perspective

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

Their papers