Jianbo Ye

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jianbo Ye trusts overall

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

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

Who trusts Jianbo Ye overall

  1. Yang He
  2. Jiahui Yu
  3. Ping Liu
  4. Thomas S. Huang
  5. Xuanyi Dong
  6. Yi Yang
  7. Pavlo Molchanov
  8. Ting-Wu Chin
  9. Wei Zhao
  10. Tao Lin

Papers from Jianbo Ye's perspective

Ordered by how strongly the researchers Jianbo Ye 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 classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers