Yaobo Liang

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yaobo Liang trusts overall

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

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

Who trusts Yaobo Liang overall

  1. Haoyang Huang
  2. Zihan Liu
  3. Minheng Ni
  4. Katikapalli Subramanyam Kalyan
  5. Yuwei Fang
  6. Nan Duan
  7. Jon Saad-Falcon
  8. Fajri Koto
  9. Junjie Hu
  10. Genta Indra Winata

Papers from Yaobo Liang's perspective

Ordered by how strongly the researchers Yaobo Liang 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers