Liangyu Chen

Computer Vision and Pattern Recognition · with Chu · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 294 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liangyu Chen trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Diederik P. Kingma
  5. Sergey Ioffe
  6. Alex Krizhevsky
  7. Christian Szegedy
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Liangyu Chen overall

  1. Lingshun Kong
  2. Yulun Zhang
  3. Jay Whang
  4. Bin Xia
  5. Zhengzhong Tu
  6. Jing Lin
  7. Hossein Talebi
  8. Jiangxin Dong
  9. Xiaojie Chu

Papers from Liangyu Chen's perspective

Ordered by how strongly the researchers Liangyu Chen 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. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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