Jiayu Wang

Computer Vision and Pattern Recognition · with Wang · 2023–2025

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Generative Models — 22 citations into it

Whom Jiayu Wang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jonathan Ho
4. Yoshua Bengio
5. Alex Krizhevsky
6. Patrick Esser
7. Kaiming He
8. Yann LeCun
9. Ilya Sutskever
10. Robin Rombach

Papers from Jiayu Wang's perspective

Ordered by how strongly the researchers Jiayu Wang 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Wan: Open and Advanced Large-Scale Video Generative Models (2025) — 2,140 citations
• I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models (2023) — 375 citations