Jingyun Liang

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 6 papers; trusts 997 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jingyun Liang trusts overall

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

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

Who trusts Jingyun Liang overall

  1. Kai Zhang
  2. Zongsheng Yue
  3. Jianyi Wang
  4. Radu Timofte
  5. Luc Van Gool
  6. Xiangyu Chen
  7. Yulun Zhang
  8. Hang Guo
  9. Jing Lin
  10. Salman Hameed Khan

Papers from Jingyun Liang's perspective

Ordered by how strongly the researchers Jingyun Liang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers