Di Wang

Artificial Intelligence · with Xu · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Di Wang trusts overall

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

  1. Cynthia Dwork
  2. Adam D. Smith
  3. Kamalika Chaudhuri
  4. Zeyuan Allen-Zhu
  5. Yurii E. Nesterov
  6. Raef Bassily
  7. Kobbi Nissim
  8. Roman Vershynin
  9. Abhradeep Thakurta
  10. Frank McSherry

Who trusts Di Wang overall

  1. Jaewoo Lee
  2. Bargav Jayaraman
  3. Huanyu Zhang
  4. Shahab Asoodeh
  5. Zonghao Huang
  6. Marco Gaboardi
  7. Daniel Kifer
  8. Tianhao Wang
  9. Jinhui Xu
  10. David E. Evans

Papers from Di Wang's perspective

Ordered by how strongly the researchers Di Wang 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. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers