Lianhui Qin

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 13 papers; trusts 411 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Lianhui Qin trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Radford M. Neal
  8. Alec Radford
  9. Kaiming He
  10. Richard Socher

Who trusts Lianhui Qin overall

  1. Sachin Kumar
  2. Sean Welleck
  3. Yejin Choi
  4. Yulia Tsvetkov
  5. Vered Shwartz
  6. Daniel Khashabi
  7. Biswajit Paria
  8. Chenguang Zhu
  9. Mingkai Deng
  10. Hanqing Zhang

Papers from Lianhui Qin's perspective

Ordered by how strongly the researchers Lianhui Qin 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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