Haixu Wu

Artificial Intelligence · 2021–2024

A researcher in the Science corpus: 9 papers; trusts 272 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Haixu Wu trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Sepp Hochreiter
  7. Yann LeCun
  8. Kaiming He
  9. Alex Graves
  10. J. Urgen Schmidhuber

Who trusts Haixu Wu overall

  1. Tian Zhou
  2. Shiyu Wang
  3. Gerald Woo
  4. Donghao Luo
  5. Ailing Zeng
  6. Zhijian Xu
  7. Qingsong Wen
  8. Ming Jin
  9. Yunhao Zhang
  10. Hao Xue

Papers from Haixu Wu's perspective

Ordered by how strongly the researchers Haixu 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers