Hao Zhu

Artificial Intelligence · International Conference on Learning Representations · 2017–2023

A researcher in the Science corpus: 7 papers; trusts 186 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Zhu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Ruslan Salakhutdinov
  10. Tomas Mikolov

Who trusts Hao Zhu overall

  1. Zequn Sun
  2. Tianyu Gao
  3. Wenpeng Yin
  4. Xu Han
  5. Lingbing Guo
  6. Bayu Distiawan Trisedya
  7. Wei Hu
  8. Zhiyuan Liu
  9. Zhichun Wang
  10. Yixin Cao

Papers from Hao Zhu's perspective

Ordered by how strongly the researchers Hao Zhu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers