Ji Liu

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ji Liu trusts

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

  1. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  2. Andrej Karpathy (in Computer Vision and Pattern Recognition)
  3. Ruslan Salakhutdinov (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Kaiming He (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Svetlana Lazebnik (in Computer Vision and Pattern Recognition)
  9. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Ji Liu's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Rethinking the Inception Architecture for Computer Vision
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Deep Visual-Semantic Alignments for Generating Image Descriptions
  10. Gradient-based learning applied to document recognition

Their papers