Jue Wang

Computer Vision and Pattern Recognition · with Zhang · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 184 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it
• Generative Models — 30 citations into it
• Artificial Intelligence — 24 citations into it
• Safety, Robustness & Interpretability — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Jue Wang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Jimmy Ba
5. Kaiming He
6. Yoshua Bengio
7. Tero Karras
8. Yann LeCun
9. Yuezun Li
10. Ian J. Goodfellow

Papers from Jue Wang's perspective

Ordered by how strongly the researchers Jue 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. GENERATIVE ADVERSARIAL NETS
5. ImageNet: A large-scale hierarchical image database
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. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• High-Fidelity GAN Inversion for Image Attribute Editing (2021) — 305 citations
• Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (2022) — 325 citations