Liang Pang

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 8 papers; trusts 192 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Pang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Richard Socher
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Oriol Vinyals
  9. Alex Graves
  10. Matthew D. Zeiler

Who trusts Liang Pang overall

  1. Kai Hui
  2. Jiafeng Guo
  3. Bhaskar Mitra
  4. Andrew Yates
  5. Sebastian Hofstätter
  6. Sean MacAvaney
  7. Liu Yang
  8. Yixing Fan
  9. Zhenghao Liu
  10. Chenyan Xiong

Papers from Liang Pang's perspective

Ordered by how strongly the researchers Liang Pang 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (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