Nan Cheng

Computer Networks and Communications · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nan Cheng trusts overall

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

  1. Ronald J. Williams
  2. Seongah Jeong
  3. David Silver
  4. Hado van Hasselt
  5. Yong Zeng
  6. Hannes Hartenstein
  7. Yuyi Mao
  8. Volodymyr Mnih
  9. Osvaldo Simeone
  10. Richard S. Sutton

Who trusts Nan Cheng overall

  1. Xuemin Shen
  2. Fengxian Guo
  3. H. Hua
  4. Jie Gao
  5. Mushu Li

Papers from Nan Cheng's perspective

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

  1. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Asynchronous Methods for Deep Reinforcement Learning
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers