Jing Zhang

Computer Vision and Pattern Recognition · with Huang · 2015–2023

A researcher in the Science corpus: 6 papers; trusts 73 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Zhang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Ilya Sutskever
  9. Ross B. Girshick

Who trusts Jing Zhang overall

  1. Xintao Wang
  2. Ying Shan

Papers from Jing Zhang's perspective

Ordered by how strongly the researchers Jing Zhang 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. ImageNet classification with deep convolutional neural networks
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Long Short-Term Memory
  10. Microsoft COCO: Common Objects in Context

Their papers