Jingyang Ou

Artificial Intelligence · 2024–2025

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

Subfields

• Artificial Intelligence — 65 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Generative Models — 24 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Model Architectures — 14 citations into it

Whom Jingyang Ou trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Geoffrey E. Hinton
4. Jiaming Song
5. Yoshua Bengio
6. Alex Krizhevsky
7. Chenlin Meng
8. Aaron Lou
9. Tim Salimans
10. Jacob Austin

Papers from Jingyang Ou's perspective

Ordered by how strongly the researchers Jingyang Ou 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Large Language Diffusion Models (2025) — 780 citations
• Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data (2024) — 345 citations