Hao Zhang

Computer Vision and Pattern Recognition · with Chen · 2019–2021

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 Hao Zhang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Hao Zhang's perspective

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

  1. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  2. Human-level control through deep reinforcement learning
  3. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  4. Proximal Policy Optimization Algorithms (arXiv.org)
  5. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Mastering the game of Go with deep neural networks and tree search
  8. ImageNet classification with deep convolutional neural networks
  9. Attention is All you Need (Neural Information Processing Systems)
  10. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Their papers