Yuxuan Song

Artificial Intelligence · with Liu · 2020–2025

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Generative Models — 23 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Yuxuan Song trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Kaiming He
5. Diederik P. Kingma
6. Yann LeCun
7. Takeru Miyato
8. Ilya Sutskever
9. Individualized Treat
10. Jia Deng

Who trusts Yuxuan Song overall

1. Minkai Xu
2. Akinori Tanaka
3. Shitong Luo

Papers from Yuxuan Song's perspective

Ordered by how strongly the researchers Yuxuan Song 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator (2020) — 8 citations
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale (2025) — 2,219 citations