Lin Zhong

Electrical and Electronic Engineering · ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services · 2007–2022

A researcher in the Science corpus: 9 papers; trusts 21 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Zhong trusts overall

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

  1. K. Hinckley
  2. Marco F. Duarte
  3. Sasank Reddy
  4. Y. Hong
  5. Lawrence R. Rabiner
  6. Matt Welsh
  7. T. Marzetta
  8. Jani Mäntyjärvi
  9. Jacob O. Wobbrock
  10. Jung Il Choi

Who trusts Lin Zhong overall

  1. Derick A. Johnson
  2. Steven Cheng-Xian Li
  3. Geoffrey F. Miller

Papers from Lin Zhong's perspective

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

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

Their papers