Rongzhong Lian

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Rongzhong Lian trusts overall

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

  1. Oriol Vinyals
  2. J. Fleiss
  3. Kyunghyun Cho
  4. Yoshua Bengio
  5. Jeffrey Pennington
  6. Dzmitry Bahdanau
  7. Geoffrey E. Hinton
  8. Quoc V. Le
  9. Richard Socher
  10. Eric Jang

Who trusts Rongzhong Lian overall

  1. Wen Zheng
  2. Natasa Milic-Frayling
  3. Haolan Zhan
  4. Yufan Zhao
  5. Byeongchang Kim
  6. Wei Wu
  7. Xueliang Zhao
  8. Ashwin Paranjape
  9. Yan Xu
  10. W. Yu

Papers from Rongzhong Lian's perspective

Ordered by how strongly the researchers Rongzhong Lian 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers