Shengbang Tong

Artificial Intelligence · 2024–2025

A researcher in the Science corpus: 4 papers; trusts 149 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengbang Tong trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Jia Deng

Who trusts Shengbang Tong overall

  1. Yushi Hu
  2. Tianzhe Chu
  3. Peng Gao
  4. Jiabo Ye

Papers from Shengbang Tong's perspective

Ordered by how strongly the researchers Shengbang Tong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers