Zhijun Yin

Computer Vision and Pattern Recognition · 2009–2018

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

Subfields

Whom Zhijun Yin trusts overall

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

  1. Dorin Comaniciu
  2. Xuerui Wang
  3. David M. Blei
  4. Qiaozhu Mei
  5. David J. Crandall
  6. Martin Ester
  7. Andrew Y. Ng
  8. Andrew McCallum
  9. Michael I. Jordan
  10. Peter Meer

Who trusts Zhijun Yin overall

  1. Bo Han
  2. Gao Cong
  3. Jordan L. Boyd-Graber
  4. Hamed Jelodar
  5. Muhammad Bilal Zafar
  6. Yu Zheng
  7. Quan Yuan
  8. Chao Zhang
  9. Paul Cook
  10. Yizhou Sun

Papers from Zhijun Yin's perspective

Ordered by how strongly the researchers Zhijun Yin 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers