Hanlin Tang

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 13 papers; trusts 229 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Hanlin Tang trusts overall

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

  1. Kaiming He
  2. Xiangru Lian
  3. Alex Krizhevsky
  4. L. Eon Bottou
  5. Frank Torsten Bernd Seide
  6. Angelia Nedić
  7. Geoffrey E. Hinton
  8. Guanghui Lan
  9. Francis R. Bach
  10. Diederik P. Kingma

Who trusts Hanlin Tang overall

  1. Anastasia Koloskova
  2. Chaoyang He
  3. Sebastian U. Stich
  4. Xianfeng Liang
  5. Martin Jaggi
  6. Xiangru Lian
  7. Xiang Li
  8. Constantin Philippenko
  9. Navjot Singh
  10. Qinyi Luo

Papers from Hanlin Tang's perspective

Ordered by how strongly the researchers Hanlin Tang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers