Heng Qi

Artificial Intelligence · with Yin · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Heng Qi trusts

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

  1. Jeffrey L. Elman (in Natural Language Processing)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Max Welling (in Artificial Intelligence)
  4. Inderjit S. Dhillon (in Time-Series & Forecasting)
  5. Hsiang-Fu Yu (in Time-Series & Forecasting)
  6. Dzmitry Bahdanau (in Artificial Intelligence)
  7. Kyunghyun Cho (in Artificial Intelligence)

Papers from Heng Qi's perspective

Ordered by how strongly the researchers Heng Qi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Learning
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Learning representations by back-propagating errors

Their papers