Yasha Wang

Artificial Intelligence · with Gao · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Information Systems — 20 citations into it
• Recommender Systems — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Yasha Wang trusts overall

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

1. Diederik P. Kingma
2. Yehuda Koren
3. Ruslan Salakhutdinov
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Julian McAuley
7. Yoshua Bengio
8. Xiangnan He
9. Georgina Peake
10. Michal Kompan

Papers from Yasha Wang's perspective

Ordered by how strongly the researchers Yasha Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Explainable Recommendation through Attentive Multi-View Learning (2019) — 128 citations