Wei-Lin Chiang

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 9 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-Lin Chiang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Julian McAuley
  9. Max Welling
  10. Alex Graves

Who trusts Wei-Lin Chiang overall

  1. Benedek Rozemberczki
  2. Enyan Dai
  3. Jean Kaddour
  4. Lukas Galke Poech
  5. Zonghan Wu
  6. Yu Meng
  7. Weihua Hu
  8. Jinjie Ni
  9. Jie Zhou
  10. Ming Chen

Papers from Wei-Lin Chiang's perspective

Ordered by how strongly the researchers Wei-Lin Chiang 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers