Tz-Ying Wu

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 128 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Computer Vision and Pattern Recognition — 52 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Optimization & Training — 11 citations into it
• Efficiency & Compression — 6 citations into it
• Model Architectures — 6 citations into it

Whom Tz-Ying Wu trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Jia Deng
5. Yoshua Bengio
6. Ross B. Girshick
7. Ruslan Salakhutdinov
8. Ilya Sutskever
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Tz-Ying Wu overall

1. Liyuan Wang
2. Gyuhak Kim
3. Aristeidis Panos

Papers from Tz-Ying Wu's perspective

Ordered by how strongly the researchers Tz-Ying Wu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Class-Incremental Learning with Strong Pre-trained Models (2022) — 94 citations
• Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier (2020) — 59 citations