Chien-chin Huang

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chien-chin Huang trusts overall

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

  1. Alex Krizhevsky
  2. Sepp Hochreiter
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Christian Szegedy
  7. Yoshua Bengio
  8. Sergey Zagoruyko
  9. Matei A. Zaharia
  10. J. Urgen Schmidhuber

Who trusts Chien-chin Huang overall

  1. Jie Ren
  2. Samyam Rajbhandari
  3. Zhuohan Li
  4. Xu Han
  5. Linghao Song
  6. Vijay Anand Korthikanti

Papers from Chien-chin Huang's perspective

Ordered by how strongly the researchers Chien-chin Huang 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers