Peng Sun

Artificial Intelligence · with Liu · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 131 citations into it
• Reinforcement Learning — 75 citations into it
• Computer Vision and Pattern Recognition — 57 citations into it
• Optimization & Training — 17 citations into it
• Management Science and Operations Research — 15 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Peng Sun trusts overall

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

1. John Schulman
2. Richard S. Sutton
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Volodymyr Mnih
6. Kaiming He
7. Sergey Levine
8. David Silver
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Peng Sun overall

1. Yali Du
2. Kun Shao

Papers from Peng Sun's perspective

Ordered by how strongly the researchers Peng 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game (2018) — 78 citations
• ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021) — 607 citations
• Anytime Recognition with Routing Convolutional Networks (2019) — 29 citations
• Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space (2018) — 240 citations
• Exponentially Weighted Imitation Learning for Batched Historical Data (2018) — 143 citations