Jing Qian

Artificial Intelligence · with Wang · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 61 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Qian trusts overall

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

  1. Yoon Kim
  2. Ronald J. Williams
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Johan A. K. Suykens
  7. Sepp Hochreiter
  8. Richard Socher
  9. Tomas Mikolov
  10. Ilya Sutskever

Who trusts Jing Qian overall

  1. Binny Mathew
  2. Pushkar Mishra
  3. Xinyi Zhou
  4. Betty van Aken
  5. Kunze Wang
  6. Hong Wang
  7. Vaibhav Varshney
  8. Mai Elsherief
  9. Joni O. Salminen
  10. Punyajoy Saha

Papers from Jing Qian's perspective

Ordered by how strongly the researchers Jing Qian 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers