Congle Zhang

Artificial Intelligence · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Congle Zhang trusts overall

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

  1. Sebastian Riedel
  2. Michael Collins
  3. Mark W. Craven
  4. Mike D. Mintz
  5. Eugene Agichtein
  6. Andrew McCallum
  7. Marie-Catherine de Marneffe
  8. Renée J. Miller
  9. Fei Wu
  10. Luke S. Zettlemoyer

Who trusts Congle Zhang overall

  1. Peter Clark
  2. Yankai Lin
  3. Tom Kwiatkowski
  4. Xiao Ling
  5. Eunsol Choi
  6. Alexander J. Ratner
  7. Dongxu Zhang
  8. Xu Han
  9. Zhiyuan Liu
  10. Daniel S. Weld

Papers from Congle Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers