Sijia Liu

Artificial Intelligence · Journal of Biomedical Informatics · 2016–2022

A researcher in the Science corpus: 17 papers; trusts 487 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sijia Liu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Christian Szegedy
  8. Ilya Sutskever
  9. Ian J. Goodfellow
  10. Ross B. Girshick

Who trusts Sijia Liu overall

  1. Fangyu Zou
  2. Li Shen
  3. Xiaoxia Wu
  4. Leonard Berrada
  5. Jinghui Chen
  6. Jeremy M. Cohen
  7. Mert Kilickaya
  8. Pin-Yu Chen
  9. Alexandre D'efossez
  10. Liangchen Luo

Papers from Sijia Liu's perspective

Ordered by how strongly the researchers Sijia 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers