L. Zhang

Artificial Intelligence · Clinical pharmacology and therapy · 2003–2019

A researcher in the Science corpus: 17 papers; trusts 191 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom L. Zhang trusts overall

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

  1. Dakshi Agrawal
  2. Christoph Fehn
  3. Richard S. Sutton
  4. Geoffrey E. Hinton
  5. Longxin Lin
  6. Andrew Y. Ng
  7. Alex Krizhevsky
  8. Jaideep Vaidya
  9. Kaiming He
  10. Yoshua Bengio

Who trusts L. Zhang overall

  1. M. M. Afsar
  2. Wa James Tam
  3. Liangfang Zhang
  4. Eric Wai Ting Ngai
  5. Xiangyu Zhao
  6. Amit Mittal
  7. Shoujin Wang
  8. Yun Zhou
  9. Yilun Du
  10. Trafford Crump

Papers from L. Zhang's perspective

Ordered by how strongly the researchers L. Zhang 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers