Chengwei Qin

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 468 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Chengwei Qin trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Marc'Aurelio Ranzato
  6. Yann LeCun
  7. Ilya Sutskever
  8. Kaiming He
  9. Richard Socher
  10. Alex Graves

Who trusts Chengwei Qin overall

  1. Zixuan Ke
  2. Anastasia Razdaibiedina
  3. Bin Liu
  4. Yiheng Liu
  5. Liyuan Wang
  6. Caleb Ziems
  7. Hanmeng Liu
  8. Song Tian
  9. Tianyu Wu
  10. Shih-Yang Liu

Papers from Chengwei Qin's perspective

Ordered by how strongly the researchers Chengwei 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers