Hui-Ju Hung

Statistical and Nonlinear Physics · 2015

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 Hui-Ju Hung 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
  8. Christos Faloutsos
  9. Jon M. Kleinberg
  10. Matthew Richardson

Papers from Hui-Ju Hung's perspective

Ordered by how strongly the researchers Hui-Ju Hung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Mining the network value of customers
  3. Maximizing the spread of influence through a social network
  4. Long Short-Term Memory
  5. Measurement and analysis of online social networks (ACM/SIGCOMM Internet Measurement Conference)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Learning influence probabilities in social networks
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers