Yuanhao Wang

Artificial Intelligence · with Ba · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #27,589 of 35,345 by trust here, #29,412 by citations
• Computer Vision and Pattern Recognition — 16 citations into it
• Optimization & Training — 16 citations into it; #2,232 of 2,601 by trust here, #2,313 by citations
• Generative Models — 15 citations into it
• Computational Mechanics — 6 citations into it

Whom Yuanhao Wang trusts overall

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

1. James Martens
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alec Radford
6. L. Eon Bottou
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Ilya Sutskever
10. Jorge Nocedal

Who trusts Yuanhao Wang overall

1. Aravind Rajeswaran
2. Igor Mordatch

Papers from Yuanhao Wang's perspective

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

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

Their papers

• On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach (2019) — 107 citations