Yongbin Qing

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongbin Qing trusts overall

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

  1. Radford M. Neal
  2. Kaiming He
  3. Yoon Kim
  4. Richard Socher

Papers from Yongbin Qing's perspective

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

Their papers