H. Hua

Computer Networks and Communications · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom H. Hua trusts overall

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

  1. Andrea J. Goldsmith
  2. Michael I. Jordan
  3. Mahadev Satyanarayanan
  4. Robert W. Heath
  5. Volodymyr Mnih
  6. P. Stoica
  7. Yoshua Bengio
  8. Fan Liu
  9. Bo Li
  10. Le Thanh Tan

Who trusts H. Hua overall

  1. A. Perera
  2. Zhonghao Lyu
  3. Zhenyao He
  4. Zhiqing Wei
  5. Parameswaran Kamalaruban
  6. Guangxu Zhu
  7. Jie Xu
  8. Wei Xu

Papers from H. Hua's perspective

Ordered by how strongly the researchers H. Hua 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Human-level control through deep reinforcement learning

Their papers