Haoxiang Zhong

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 6 papers; trusts 73 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Haoxiang Zhong trusts overall

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

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

Who trusts Haoxiang Zhong overall

  1. Chaojun Xiao
  2. Ilias Chalkidis
  3. Cunchao Tu
  4. Zhiyuan Liu
  5. Lucia Zheng
  6. Adrien Bibal
  7. Maosong Sun
  8. Ion Androutsopoulos
  9. Wanjun Zhong
  10. Xiaohan Xu

Papers from Haoxiang Zhong's perspective

Ordered by how strongly the researchers Haoxiang Zhong 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers