Hongzu Su

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Representation & Self-Supervised Learning — 18 citations into it

Whom Hongzu Su trusts overall

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

1. Mingsheng Long
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yaroslav Ganin
6. Yoshua Bengio
7. Yann LeCun
8. Ross B. Girshick
9. Diederik P. Kingma
10. Ilya Sutskever

Papers from Hongzu Su's perspective

Ordered by how strongly the researchers Hongzu Su 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. 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Microsoft COCO: Common Objects in Context

Their papers

• Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation (2021) — 208 citations