Ting-Rui Chiang

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 97 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Ting-Rui Chiang trusts overall

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

  1. Ilya Sutskever
  2. Subhro Roy
  3. Alex Graves
  4. Geoffrey E. Hinton
  5. Sepp Hochreiter
  6. Yoshua Bengio
  7. Chin-Yew Lin
  8. Oriol Vinyals
  9. Diederik P. Kingma
  10. J. Urgen Schmidhuber

Who trusts Ting-Rui Chiang overall

  1. Jinghui Qin
  2. Yibin Shen
  3. Zhanming Jie
  4. Lei Wang
  5. Dongxiang Zhang
  6. Zhenwen Liang
  7. Bugeun Kim
  8. Qianying Liu
  9. Mingyue Shang
  10. Oishik Chatterjee

Papers from Ting-Rui Chiang's perspective

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

Their papers