Chao-Chun Liang

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Chao-Chun Liang trusts overall

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

  1. Subhro Roy
  2. Dan Roth
  3. Nate Kushman
  4. Peter Clark
  5. Chih-Jen Lin
  6. Luke S. Zettlemoyer
  7. Mohammad Javad Hosseini
  8. Christopher D. Manning
  9. Yoav Artzi
  10. Oren Etzioni

Who trusts Chao-Chun Liang overall

  1. Lei Wang
  2. Dongxiang Zhang
  3. Yanyan Zou
  4. Zhanming Jie
  5. Wei Dang Lu
  6. D. Andor
  7. Kumar Shridhar
  8. Arkil Patel
  9. Yifei Li
  10. Jierui Li

Papers from Chao-Chun Liang's perspective

Ordered by how strongly the researchers Chao-Chun Liang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers