Boxing Chen

Natural Language Processing · with Zhang · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 52 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Boxing Chen trusts overall

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

  1. Chin-Yew Lin
  2. Colin Cherry
  3. Philipp Koehn
  4. Michel Galley
  5. Franz Joseph Och
  6. Mark Hopkins
  7. Matous Machácek
  8. Christopher D. Manning
  9. J. Clark
  10. Yoshua Bengio

Who trusts Boxing Chen overall

  1. Alla Lo
  2. Jindřich Libovický
  3. Zhen-Le Yang
  4. Khanh Nguyen
  5. Won Ik Cho
  6. Chunyuan Li
  7. Siqi Bao
  8. Xiaodong Gu
  9. M. Amin Farajian
  10. Junyi Li

Papers from Boxing Chen's perspective

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

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

Their papers