Huili Chen

Artificial Intelligence · with Koushanfar · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 79 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Huili Chen trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Erwan Le Merrer
  5. Jia Deng
  6. Yoshua Bengio
  7. Yusuke Uchida
  8. Kaiming He
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Huili Chen overall

  1. Mingfu Xue
  2. Yige Li
  3. Dongxian Wu
  4. Can He
  5. Jian Wang
  6. Xiaojun Xu
  7. Wenkai Yang
  8. Abhishek Chakraborty
  9. Lingjuan Lyu
  10. Micah Goldblum

Papers from Huili Chen's perspective

Ordered by how strongly the researchers Huili Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers