Xiwen Zhang

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 83 citations into it
• Generative Models — 55 citations into it
• Artificial Intelligence — 51 citations into it
• Statistical and Nonlinear Physics — 17 citations into it
• Optimization & Training — 9 citations into it

Whom Xiwen Zhang trusts overall

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

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

Who trusts Xiwen Zhang overall

1. Tianwei Yin
2. Axel Sauer

Papers from Xiwen Zhang's perspective

Ordered by how strongly the researchers Xiwen 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation (2023) — 407 citations
• High-resolution de novo structure prediction from primary sequence (2022) — 529 citations