Yinmin Zhong

Artificial Intelligence · 2014–2026

A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yinmin Zhong trusts overall

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

  1. Noam Shazeer
  2. Gyeong-In Yu
  3. Tri Dao
  4. Zhuohan Li
  5. Ashish Vaswani
  6. Mosharaf Chowdhury
  7. Jiarui Fang
  8. Xuhao Luo
  9. Ion Stoica
  10. J. Ainslie

Who trusts Yinmin Zhong overall

  1. Mosharaf Chowdhury
  2. Naga Praveen Kumar Katta

Papers from Yinmin Zhong's perspective

Ordered by how strongly the researchers Yinmin Zhong 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. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers