Jianheng Tang

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jianheng Tang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Alex Krizhevsky
  6. Sepp Hochreiter
  7. Yann LeCun
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Max Welling

Papers from Jianheng Tang's perspective

Ordered by how strongly the researchers Jianheng Tang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers