Gang Luo

Artificial Intelligence · with Huang · 2015

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Gang Luo trusts overall

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

  1. Percy Liang
  2. Silviu Cucerzan
  3. Lev-Arie Ratinov
  4. Andrew McCallum
  5. Fei Sha
  6. John D. Lafferty
  7. Charles Sutton
  8. Razvan C. Bunescu
  9. Sunita Sarawagi
  10. Dong C. Liu

Who trusts Gang Luo overall

  1. Jie Yang
  2. Xuezhe Ma
  3. Jason P. C. Chiu
  4. Nikolaos Kolitsas
  5. Matthew E. Peters
  6. Suncong Zheng
  7. Yanjun Liu
  8. Eduard H. Hovy
  9. Eric Nichols
  10. Octavian-Eugen Ganea

Papers from Gang Luo's perspective

Ordered by how strongly the researchers Gang Luo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers