Mingyang Deng

Computer Vision and Pattern Recognition · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 176 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Generative Models — 38 citations into it
• Artificial Intelligence — 31 citations into it
• Statistical and Nonlinear Physics — 17 citations into it
• Model Architectures — 12 citations into it
• Biophysics — 11 citations into it
• Optimization & Training — 8 citations into it
• Signal Processing — 8 citations into it

Whom Mingyang Deng trusts overall

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

1. Jonathan Ho
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yang Song
8. Ilya Sutskever
9. Aäron van den Oord
10. Yann LeCun

Papers from Mingyang Deng's perspective

Ordered by how strongly the researchers Mingyang Deng 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. Gradient-based learning applied to document recognition
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Autoregressive Image Generation without Vector Quantization (2024) — 691 citations
• Mean Flows for One-step Generative Modeling (2025) — 474 citations