Yang Ai
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #20,615 of 35,345 by trust here, #31,361 by citations
- Signal Processing — 40 citations into it; #4,265 of 7,572 by trust here, #6,591 by citations
- Speech & Audio — 26 citations into it; #655 of 1,076 by trust here, #1,009 by citations
- Natural Language Processing — 20 citations into it
- Generative Models — 14 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it; #12,953 of 21,575 by trust here, #20,271 by citations
- Optimization & Training — 6 citations into it
Whom Yang Ai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Aäron van den Oord
- Jaime Lorenzo-Trueba
- Akira Tamamori
- Andrew L. Maas
- Geoffrey E. Hinton
- Xin Eric Wang
- Yoshua Bengio
- Yuchen Fan
- Tomoki Hayashi
Who trusts Yang Ai overall
Papers from Yang Ai's perspective
Ordered by how strongly the researchers Yang Ai trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)