Hao Wu

Electrical and Electronic Engineering · Advances in Materials · 2010–2022

A researcher in the Science corpus: 52 papers; trusts 737 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Wu trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Christian Szegedy
  8. Ilya Sutskever
  9. Yann LeCun
  10. Ruslan Salakhutdinov

Who trusts Hao Wu overall

  1. Rujun Han
  2. Xiong Wen (David) Lou
  3. Qiang Ning
  4. Tim Dettmers
  5. Le Yu
  6. B. Guan
  7. Xin‐Yao Yu
  8. Ben Zhou
  9. Nanyun Peng
  10. Ying Wang

Papers from Hao Wu's perspective

Ordered by how strongly the researchers Hao Wu 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers