Zong-Yi Li

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 12 papers; trusts 124 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Zong-Yi Li trusts overall

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

  1. Nikola B. Kovachki
  2. Maizar Raissi
  3. Kaiming He
  4. Andrew M. Stuart
  5. Geoffrey E. Hinton
  6. Kaushik Bhattacharya
  7. Kamyar Azizzadenesheli
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Zong-Yi Li overall

  1. Nikola B. Kovachki
  2. Shuhao Cao
  3. Zijie Li
  4. Alasdair Tran
  5. Haixu Wu
  6. Johannes Brandstetter
  7. Gaurav Gupta
  8. Anima Anandkumar
  9. Burigede Liu
  10. Kazem Meidani

Papers from Zong-Yi Li's perspective

Ordered by how strongly the researchers Zong-Yi Li 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers