Daoyi Dong

Artificial Intelligence · 2008–2009

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #26,135 of 35,345 by trust here, #22,463 by citations
• Atomic and Molecular Physics, and Optics — 25 citations into it; #4,520 of 7,135 by trust here, #6,080 by citations
• Reinforcement Learning — 11 citations into it

Whom Daoyi Dong trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. Marco A. Wiering
4. Shimon Whiteson
5. William D. Smart
6. Joannès Vermorel
7. Leslie Pack Kaelbling
8. Dimitri P. Bertsekas
9. J. Urgen Schmidhuber
10. Lieven M. K. Vandersypen

Who trusts Daoyi Dong overall

1. Jerzy Klamka
2. Vedran Dunjko
3. Yang-Yu Liu
4. C. Bian

Papers from Daoyi Dong's perspective

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

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

Their papers

• Quantum control theory and applications: A survey (2009) — 594 citations
• Quantum Reinforcement Learning (2008) — 425 citations