Kaixuan Huang

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Kaixuan Huang trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yuchen Zhang
  7. Kaiming He
  8. Ilya Sutskever
  9. L. Eon Bottou
  10. Christian Szegedy

Who trusts Kaixuan Huang overall

  1. Yae Jee Cho
  2. Tian Li
  3. Jianyu Wang
  4. Farzin Haddadpour
  5. Zachary B. Charles
  6. Deepesh Data
  7. Young Geun Kim
  8. Hong-You Chen
  9. Qinbin Li
  10. Haibo Yang

Papers from Kaixuan Huang's perspective

Ordered by how strongly the researchers Kaixuan 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers