Hong-Han Shuai

Statistical and Nonlinear Physics · 2015–2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hong-Han Shuai trusts overall

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

  1. Jure Leskovec
  2. Pedro M. Domingos
  3. Indrajit Bhattacharya
  4. Reza Zafarani
  5. Amit Goyal
  6. David Kempe
  7. Rakesh Agrawal

Papers from Hong-Han Shuai's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Language Models are Unsupervised Multitask Learners
  3. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers