Shaoxiong Ji

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shaoxiong Ji trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Richard Socher
  4. Diederik P. Kingma
  5. Antoine Bordes
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Tomas Mikolov
  9. Yann LeCun
  10. Jason Aaron Edward Weston

Who trusts Shaoxiong Ji overall

  1. Ciyuan Peng
  2. Yaakov Ophir
  3. Lingfeng Zhong
  4. Cunchao Zhu
  5. Xiao Wang
  6. Feng Xia
  7. W. Yu
  8. Inna Wanyin Lin
  9. Xuhai Xu
  10. Tianlin Zhang

Papers from Shaoxiong Ji's perspective

Ordered by how strongly the researchers Shaoxiong Ji 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  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