Jiankun Hu

Artificial Intelligence · 2007–2021

A researcher in the Science corpus: 5 papers; trusts 91 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Jiankun Hu trusts overall

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

  1. Cynthia Dwork
  2. Stephanie Forrest
  3. Matthew V. Mahoney
  4. Andrew P. Bradley
  5. Nong Ye
  6. Dit-Yan Yeung
  7. Kamalika Chaudhuri
  8. Geoffrey E. Hinton
  9. Qiang Yang
  10. Alex Krizhevsky

Who trusts Jiankun Hu overall

  1. Ansam Khraisat
  2. Mohamed Amine Ferrag
  3. Iman Sharafaldin
  4. Mohiuddin Ahmed
  5. Nasrin Sultana
  6. R. Vinayakumar
  7. Chaouki Khammassi
  8. Ammar Alazab

Papers from Jiankun Hu's perspective

Ordered by how strongly the researchers Jiankun Hu 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. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers