Ting Hu

Artificial Intelligence · with Lei · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ting Hu trusts overall

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

  1. Tong Zhang
  2. Chih-Jen Lin
  3. Zeyuan Allen-Zhu
  4. Ding-Xuan Zhou
  5. John C. Duchi
  6. Yurii E. Nesterov
  7. Simon Lacoste-Julien
  8. Mark W. Schmidt
  9. Elad Hazan
  10. Francis R. Bach

Who trusts Ting Hu overall

  1. Rahaf Aljundi
  2. Nicolas Loizou
  3. Tao Sun

Papers from Ting Hu's perspective

Ordered by how strongly the researchers Ting Hu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers