Dongkun Zhang

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 71 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Dongkun Zhang trusts overall

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

  1. Maizar Raissi
  2. Diederik P. Kingma
  3. Isaac E. Lagaris
  4. G. Em Karniadakis
  5. Paris Perdikaris
  6. Radford M. Neal
  7. Yarin Gal
  8. Geoffrey E. Hinton
  9. David John Cameron MacKay
  10. Andrew M. Stuart

Who trusts Dongkun Zhang overall

  1. Lu Lu
  2. G. Em Karniadakis
  3. Liu Yang
  4. Xuhui Meng
  5. Salvatore Cuomo
  6. Han Gao
  7. Luning Sun
  8. Zixue Xiang
  9. Benjamin Moseley
  10. Chengping Rao

Papers from Dongkun Zhang's perspective

Ordered by how strongly the researchers Dongkun 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers