Long Yang

Artificial Intelligence · with Chen · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Reinforcement Learning — 40 citations into it
• Management Science and Operations Research — 18 citations into it

Whom Long Yang trusts overall

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

1. Pieter Abbeel
2. Vivek Shripad Borkar
3. Richard S. Sutton
4. John Schulman
5. Marc Peter Deisenroth
6. Geoffrey E. Hinton
7. Sergey Levine
8. Danilo Jimenez Rezende
9. Diederik P. Kingma
10. Teodor Mihai Moldovan

Papers from Long Yang's perspective

Ordered by how strongly the researchers Long Yang 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Reinforcement Learning: An Introduction
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Review of Safe Reinforcement Learning: Methods, Theories, and Applications (2024) — 298 citations