Rong Han

Artificial Intelligence · with Li · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rong Han trusts

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

  1. Matthew D. Zeiler (in Artificial Intelligence)

Papers from Rong Han's perspective

Ordered by how strongly the researchers Rong Han trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. GloVe: Global Vectors for Word Representation
  5. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  6. ADADELTA: An Adaptive Learning Rate Method
  7. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet classification with deep convolutional neural networks

Their papers