Gong Zhang

Computer Vision and Pattern Recognition · with Li · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gong Zhang trusts

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

  1. Terence Tao (in Computational Mechanics)
  2. E.J. Candes (in Computational Mechanics)

Papers from Gong Zhang's perspective

Ordered by how strongly the researchers Gong 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. ImageNet: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  7. TensorFlow: A system for large-scale machine learning
  8. One weird trick for parallelizing convolutional neural networks
  9. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  10. Energy and Policy Considerations for Deep Learning in NLP

Their papers