Huaming Wang

Artificial Intelligence · IEEE Transactions on Audio, Speech, and Language Processing · 2014–2023

A researcher in the Science corpus: 8 papers; trusts 67 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Huaming Wang trusts overall

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

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

Who trusts Huaming Wang overall

  1. Dong Yu

Papers from Huaming Wang's perspective

Ordered by how strongly the researchers Huaming Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers