Xiao-Yang Liu

Reinforcement Learning · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 14 citations into it
• Finance — 5 citations into it

Whom Xiao-Yang Liu trusts overall

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

1. John Schulman
2. Jason C. Hsu
3. Volodymyr Mnih
4. Tim Dettmers
5. Geoffrey E. Hinton
6. Richard S. Sutton
7. Alex Krizhevsky
8. Yann LeCun
9. Yoshua Bengio

Who trusts Xiao-Yang Liu overall

1. M. A. Ganaie

Papers from Xiao-Yang Liu's perspective

Ordered by how strongly the researchers Xiao-Yang Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Asynchronous Methods for Deep Reinforcement Learning
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep reinforcement learning for automated stock trading: an ensemble strategy (2020) — 317 citations
• FinGPT: Open-Source Financial Large Language Models (2023) — 434 citations
• Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification (2021) — 14 citations