Haohe Liu

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 5 papers; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haohe Liu trusts overall

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

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

Who trusts Haohe Liu overall

  1. Xinhao Mei
  2. Kevin Clark
  3. Zhe Ye
  4. Peike Li
  5. Shengqiong Wu
  6. Yuancheng Wang
  7. Xuejiao Tan
  8. Zeqian Ju
  9. Yichong Leng
  10. Apoorv Vyas

Papers from Haohe Liu's perspective

Ordered by how strongly the researchers Haohe Liu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers