Bowen Jin

Artificial Intelligence · 1 papers · 2025

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

Subfields

Whom Bowen Jin trusts overall

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

  1. Ahmed El-Kishky
  2. Florentin Wörgötter
  3. John Schulman
  4. Yoshua Bengio
  5. Yu Meng
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Akari Asai
  9. Zhilin Yang
  10. Ronald J. Williams

Papers from Bowen Jin's perspective

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

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

Their papers