Zekai Wang

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Safety, Robustness & Interpretability — 20 citations into it
• Generative Models — 15 citations into it
• Optimization & Training — 11 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Zekai Wang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Yang Song
8. Christian Szegedy
9. Yurii E. Nesterov
10. Ilya Sutskever

Papers from Zekai Wang's perspective

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

Their papers

• Better Diffusion Models Further Improve Adversarial Training (2023) — 317 citations