Hengtao He

Electrical and Electronic Engineering · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Hengtao He trusts overall

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

  1. Hao Ye
  2. Christopher A. Metzler
  3. Geoffrey Y. Li
  4. Tom Minka
  5. Neev Samuel
  6. Sergey L. Loyka
  7. Chao-Kai Wen
  8. Tim O'Shea
  9. Kaiming He
  10. Junjie Ma

Who trusts Hengtao He overall

  1. Zhijin Qin
  2. Mingzhe Chen
  3. Geoffrey Y. Li
  4. Hao Ye
  5. Zhenzi Weng
  6. Peihao Dong
  7. Chao-Kai Wen
  8. Tianqi Wang
  9. Alessio Zappone
  10. Shi Jin

Papers from Hengtao He's perspective

Ordered by how strongly the researchers Hengtao He 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers