Xin Hong

Artificial Intelligence · with Zhao · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Hong trusts overall

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

  1. Steffen Rendle
  2. Ruslan Salakhutdinov
  3. Xiangnan He
  4. Yehuda Koren

Papers from Xin Hong's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers