Jinglin Liu

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 14 papers; trusts 383 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jinglin Liu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Pascal Vincent
  6. Alex Krizhevsky
  7. Ashish Vaswani
  8. Alex Graves
  9. Ilya Sutskever
  10. Aäron van den Oord

Who trusts Jinglin Liu overall

  1. Rongjie Huang
  2. Yi Ren
  3. Zhou Zhao
  4. Songxiang Liu
  5. Feiyang Chen
  6. Ziyue Jiang
  7. Chenye Cui
  8. Luping Liu
  9. Hyeong-Seok Choi
  10. Tomer Amit

Papers from Jinglin Liu's perspective

Ordered by how strongly the researchers Jinglin Liu 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. ImageNet: A large-scale hierarchical image database
  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. GENERATIVE ADVERSARIAL NETS

Their papers