Hanghang Tong

Artificial Intelligence · 2004–2019

A researcher in the Science corpus: 14 papers; trusts 287 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

Whom Hanghang Tong trusts overall

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

  1. Christos Faloutsos
  2. Glen Jeh
  3. Andrew Y. Ng
  4. Geoffrey E. Hinton
  5. Taher H. Haveliwala
  6. Mark Newman
  7. Jimeng Sun
  8. Jennifer Widom
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Hanghang Tong overall

  1. Neil Zhenqiang Gong
  2. Tae Hoon Kim
  3. Mao Ye
  4. Bryan Perozzi
  5. Leman Akoglu
  6. Linyuan Lu
  7. Sophie Ahrens
  8. Santo Fortunato
  9. Frank Lin
  10. Lars Backstrom

Papers from Hanghang Tong's perspective

Ordered by how strongly the researchers Hanghang Tong 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