Changhan Wang

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 26 papers; trusts 640 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

Whom Changhan Wang trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Matt Post
  6. Alex Graves
  7. Kyunghyun Cho
  8. Dzmitry Bahdanau
  9. Oriol Vinyals
  10. Alex Krizhevsky

Who trusts Changhan Wang overall

  1. Ann Lee
  2. Ye Jia
  3. Juan Pino
  4. Yun Tang
  5. Ankur Bapna
  6. Anne Wu
  7. Wei-Ning Hsu
  8. Jiatao Gu
  9. Yu Zhang
  10. Paul-Ambroise Duquenne

Papers from Changhan Wang's perspective

Ordered by how strongly the researchers Changhan Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers