Haoyang Ding

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haoyang Ding trusts overall

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

  1. Kaspar Riesen
  2. Horst Bunke
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Thomas Kipf
  6. Yoshua Bengio
  7. William L. Hamilton
  8. Max Welling
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts Haoyang Ding overall

  1. Yunsheng Bai

Papers from Haoyang Ding's perspective

Ordered by how strongly the researchers Haoyang Ding 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. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers