Wenlong Huang

Artificial Intelligence · with Florence · 2022–2023

A researcher in the Science corpus: 5 papers; trusts 164 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Wenlong Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Ilya Sutskever
  7. Yann LeCun
  8. Sepp Hochreiter
  9. J. Urgen Schmidhuber
  10. Ross B. Girshick

Who trusts Wenlong Huang overall

  1. Chen Huang
  2. Zirui Zhao
  3. Noah Shinn
  4. Guanzhi Wang
  5. Kevin Black
  6. Fei Xia
  7. Ted Xiao
  8. Andy Zeng
  9. Sai H. Vemprala
  10. Jie Huang

Papers from Wenlong Huang's perspective

Ordered by how strongly the researchers Wenlong 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers