Yu Zhang

Computer Vision and Pattern Recognition · with Fang · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 21 citations into it
• Generative Models — 16 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Yu Zhang trusts overall

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

1. Alex Nichol
2. Ilya Loshchilov
3. Jonathan Ho
4. Prafulla Dhariwal
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Simon Keith Warfield
9. Yoshua Bengio
10. Kaiming He

Papers from Yu Zhang's perspective

Ordered by how strongly the researchers Yu Zhang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer (2023) — 353 citations
• MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model (2022) — 470 citations