Guoliang Ji

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 67 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Guoliang Ji trusts overall

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

  1. Antoine Bordes
  2. Jason Aaron Edward Weston
  3. Yoshua Bengio
  4. Matthew D. Zeiler
  5. George A. Miller
  6. Geoffrey E. Hinton
  7. Richard Socher
  8. Ilya Sutskever
  9. Tomas Mikolov
  10. Alex Krizhevsky

Who trusts Guoliang Ji overall

  1. Xu Han
  2. Liang Yao
  3. Avishek Joey Bose
  4. Jun Feng
  5. Zhiyuan Liu
  6. Lingfeng Zhong
  7. Hongwei Wang
  8. Minlie Huang
  9. Yankai Lin
  10. Bassem Makni

Papers from Guoliang Ji's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers