Kexin Zhao

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 285 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Kexin Zhao trusts overall

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

  1. Diederik P. Kingma
  2. Aäron van den Oord
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Alex Graves
  7. Wei Ping
  8. Oriol Vinyals
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Kexin Zhao overall

  1. Xu Tan
  2. Zhaoxi Mu
  3. Wei Ping
  4. Zhifeng Kong
  5. Takuma Okamoto
  6. Jonathan Ho
  7. Yi Ren
  8. Sang-gil Lee
  9. Stanislav Beliaev
  10. Jinglin Liu

Papers from Kexin Zhao's perspective

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

Their papers