Yingke Zhu

Artificial Intelligence · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yingke Zhu trusts overall

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

  1. David Snyder
  2. David G. Lowe
  3. Daniel Povey
  4. Daniel Garcia-Romero
  5. Hal Daumé Iii
  6. Geoffrey E. Hinton
  7. Wenyuan Dai
  8. Chih-Jen Lin
  9. Yoshua Bengio
  10. Sergey Ioffe

Who trusts Yingke Zhu overall

  1. Gabriella Csurka
  2. Jörgen Valk
  3. Ying Wei
  4. Guo-Jun Qi
  5. Lixin Duan
  6. Daixin Wang
  7. Miao Zhao
  8. Jee-weon Jung
  9. Hardik B. Sailor
  10. Joey Tianyi Zhou

Papers from Yingke Zhu's perspective

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

Their papers