Ziqi Wang

Artificial Intelligence · with Zhou · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ziqi Wang trusts overall

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

  1. Dong-Hyun Lee
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Jeffrey Pennington
  5. Diederik P. Kingma
  6. Sepp Hochreiter
  7. Ilya Sutskever
  8. Richard Socher
  9. Tomas Mikolov
  10. Christopher D. Manning

Who trusts Ziqi Wang overall

  1. Qinyuan Ye
  2. Peter Hase
  3. Sijia Wang
  4. Huihan Yao
  5. Dong-Ho Lee
  6. Wangchunshu Zhou
  7. Mohit Bansal
  8. Xiang Ren
  9. Chenhao Tan

Papers from Ziqi Wang's perspective

Ordered by how strongly the researchers Ziqi 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. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers