Min Wu

Molecular Biology · International Joint Conference on Artificial Intelligence · 2009–2023

A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Min Wu trusts overall

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

  1. Gary D. Bader
  2. José B. Pereira-Leal
  3. Diederik P. Kingma
  4. Mehmet Gönen
  5. Geoffrey E. Hinton
  6. Ruslan Salakhutdinov
  7. Yoshua Bengio
  8. Jimmy Ba
  9. Sylvain Brohée
  10. Alex Krizhevsky

Who trusts Min Wu overall

  1. Xiaoli Li

Papers from Min Wu's perspective

Ordered by how strongly the researchers Min Wu 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet: A large-scale hierarchical image database
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers