Yang Xiang
Artificial Intelligence · with Shijia · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #27,831 of 35,345 by trust here, #32,362 by citations
- Natural Language Processing — 16 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Graph Learning — 12 citations into it
- Statistical and Nonlinear Physics — 10 citations into it; #7,651 of 10,127 by trust here, #9,324 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Yang Xiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Tomas Mikolov
- Andriy Mnih
- Alex Krizhevsky
- Ronan Collobert
- Yann LeCun
- Ilya Sutskever
- Jimmy Ba
Who trusts Yang Xiang overall
Papers from Yang Xiang's perspective
Ordered by how strongly the researchers Yang Xiang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Aspect-based Financial Sentiment Analysis with Deep Neural Networks (2018) — 21 citations
- SNE: Signed Network Embedding (2017) — 147 citations