Yongyuan Liang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Reinforcement Learning — 15 citations into it
• LLM Agents & Tool Use — 5 citations into it

Whom Yongyuan Liang trusts overall

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

1. Igor Mordatch
2. Jiechuan Jiang
3. Richard S. Sutton
4. Pieter Abbeel
5. Volodymyr Mnih
6. Geoffrey E. Hinton
7. Alex Graves
8. Hoang Minh Le
9. Timothy P. Lillicrap
10. Ryan J. Lowe

Papers from Yongyuan Liang's perspective

Ordered by how strongly the researchers Yongyuan Liang 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Human-level control through deep reinforcement learning
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning (2020) — 13 citations