Lijun Zhang

Artificial Intelligence · with Zhou · 2010–2019

A researcher in the Science corpus: 11 papers; trusts 109 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Lijun Zhang trusts overall

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

  1. Yurii E. Nesterov
  2. Elad Hazan
  3. Shai Shalev-Shwartz
  4. Martin A. Zinkevich
  5. Tong Zhang
  6. Alexander Rakhlin
  7. Francis R. Bach
  8. Nicolò Cesa-Bianchi
  9. Mark W. Schmidt
  10. Mark Herbster

Who trusts Lijun Zhang overall

  1. Zeyuan Allen-Zhu
  2. Jakub Konecný
  3. Yawei Zhao
  4. Wendi Wu
  5. Aryan Mokhtari
  6. Mark W. Schmidt
  7. Nicolas Loizou
  8. Amrit Singh Bedi
  9. Lin Xiao
  10. Yawei Zhao

Papers from Lijun Zhang's perspective

Ordered by how strongly the researchers Lijun Zhang 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. 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