Tianzhe Chu

Artificial Intelligence · 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 Tianzhe Chu trusts overall

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

  1. Alec Radford
  2. Ahmed El-Kishky
  3. John Schulman
  4. Geoffrey E. Hinton
  5. Eric Zelikman
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Haotian Liu
  9. Alex Krizhevsky
  10. Charlie Victor Snell

Papers from Tianzhe Chu's perspective

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

Their papers