Chuangchuang Sun

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Reinforcement Learning — 45 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Chuangchuang Sun trusts overall

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

1. J. Urgen Schmidhuber
2. Pieter Abbeel
3. John Schulman
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Richard S. Sutton
7. Diederik P. Kingma
8. Ronald J. Williams
9. Sergey Levine
10. Ilya Sutskever

Papers from Chuangchuang Sun's perspective

Ordered by how strongly the researchers Chuangchuang Sun 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Asynchronous Methods for Deep Reinforcement Learning
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning (2020) — 69 citations
• Influencing Long-Term Behavior in Multiagent Reinforcement Learning (2022) — 28 citations