Yunhao Tang

Artificial Intelligence · 2019

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Reinforcement Learning — 20 citations into it
• Optimization & Training — 15 citations into it
• Generative Models — 6 citations into it
• Applied Mathematics — 5 citations into it

Whom Yunhao Tang trusts overall

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

1. John Schulman
2. Ronald J. Williams
3. Cédric Villani
4. Martín Arjovsky
5. G. Peyr'e
6. Marco Cuturi
7. Geoffrey E. Hinton
8. Diederik P. Kingma
9. Marc G. Bellemare
10. Huaiyu Zhu

Who trusts Yunhao Tang overall

1. Krzysztof Marcin Choromanski

Papers from Yunhao Tang's perspective

Ordered by how strongly the researchers Yunhao Tang 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. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning to Score Behaviors for Guided Policy Optimization (2019) — 46 citations
• Orthogonal Estimation of Wasserstein Distances (2019) — 53 citations
• KAMA-NNs: Low-dimensional Rotation Based Neural Networks (2019) — 6 citations