Ziyang Wang

Computer Vision and Pattern Recognition · with Cui · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it

Whom Ziyang Wang trusts overall

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

1. L. Eon Bottou
2. Kaiming He
3. Olaf Ronneberger
4. Noam Shazeer
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ashish Vaswani
8. Jieneng Chen
9. Ali Hatamizadeh
10. Yoshua Bengio

Papers from Ziyang Wang's perspective

Ordered by how strongly the researchers Ziyang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation (2024) — 352 citations