Yang Yang
Artificial Intelligence · with Feng · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #29,167 of 35,345 by trust here, #15,542 by citations
- Representation & Self-Supervised Learning — 21 citations into it
- Natural Language Processing — 19 citations into it
- Graph Learning — 18 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
- Reinforcement Learning — 6 citations into it
Whom Yang Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Antoine Bordes
- Ilya Sutskever
- Geoffrey E. Hinton
- Ronald J. Williams
- Jason Aaron Edward Weston
- Diederik P. Kingma
- Alex Krizhevsky
- Richard Socher
- Yann LeCun
Who trusts Yang Yang overall
Papers from Yang Yang's perspective
Ordered by how strongly the researchers Yang Yang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Reinforcement Learning for Relation Classification From Noisy Data (2018) — 353 citations
- Dynamic Network Embedding by Modeling Triadic Closure Process (2018) — 508 citations
- GAKE: Graph Aware Knowledge Embedding (2016) — 92 citations