Ran Tian

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 117 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Ran Tian trusts overall

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

  1. Ilya Sutskever
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yann LeCun
  6. Alex Graves
  7. Oriol Vinyals
  8. Sepp Hochreiter
  9. Alex Krizhevsky
  10. Dzmitry Bahdanau

Who trusts Ran Tian overall

  1. Daniel Kang
  2. Tianyu Liu
  3. Ananya B. Sai
  4. Zhenyi Wang
  5. Chunting Zhou
  6. Peng Wang
  7. Rudolf Kadlec
  8. Ondrej Bajgar
  9. Tatsunori B. Hashimoto
  10. Bhuwan Dhingra

Papers from Ran Tian's perspective

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

Their papers