Yun Chi

Artificial Intelligence · 2004–2011

A researcher in the Science corpus: 8 papers; trusts 41 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Chi trusts overall

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

  1. Mohammed J. Zaki
  2. Jianbo Shi
  3. Jon M. Kleinberg
  4. Inderjit S. Dhillon
  5. Mark Newman
  6. Rakesh Agrawal
  7. Jitendra Malik
  8. Chris H. Q. Ding
  9. Xifeng Yan
  10. Radford M. Neal

Who trusts Yun Chi overall

  1. Charu C. Aggarwal
  2. Santo Fortunato
  3. Tianbao Yang
  4. Chuntao Jiang
  5. Jianwen Zhang
  6. Sitaram Asur
  7. Jiliang Tang
  8. Ajit Paul Singh
  9. Xiang Wang
  10. Shenghuo Zhu

Papers from Yun Chi's perspective

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

Their papers