Zhengyang Geng

Computer Vision and Pattern Recognition · with Bai · 2025

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Generative Models — 16 citations into it
• Artificial Intelligence — 11 citations into it
• Statistical and Nonlinear Physics — 10 citations into it

Whom Zhengyang Geng trusts overall

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

1. Jonathan Ho
2. Yang Song
3. Diederik P. Kingma
4. Danilo Jimenez Rezende
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Jascha Narain Sohl-Dickstein
8. Yoshua Bengio
9. Kaiming He
10. Tero Karras

Papers from Zhengyang Geng's perspective

Ordered by how strongly the researchers Zhengyang Geng 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Mean Flows for One-step Generative Modeling (2025) — 474 citations