Zipeng Fu

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 5 papers; trusts 210 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Zipeng Fu trusts overall

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

  1. Chelsea Finn
  2. Sergey Levine
  3. Pieter Abbeel
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. John Schulman
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Zipeng Fu overall

  1. Michał Zawalski
  2. Songming Liu
  3. Karl Pertsch
  4. Gabriel B. Margolis
  5. Xuanlin Li
  6. Kevin Black
  7. Chelsea Finn
  8. Qingqing Zhao
  9. Ananye Agarwal
  10. William Chen

Papers from Zipeng Fu's perspective

Ordered by how strongly the researchers Zipeng Fu 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Et al

Their papers