Yuanda Zhu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Radiology, Nuclear Medicine and Imaging — 21 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Yuanda Zhu trusts overall

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

1. Gabriella Csurka
2. Geoffrey E. Hinton
3. Eric Tzeng
4. Alex Krizhevsky

Papers from Yuanda Zhu's perspective

Ordered by how strongly the researchers Yuanda Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Advancing Medical Imaging Informatics by Deep Learning-Based Domain Adaptation (2020) — 79 citations