Bingzhe Wu

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 182 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 106 citations into it
• Computer Vision and Pattern Recognition — 96 citations into it
• Information Systems — 24 citations into it
• Generative Models — 22 citations into it
• Privacy & Security — 21 citations into it
• Model Architectures — 19 citations into it
• Optimization & Training — 18 citations into it
• Safety, Robustness & Interpretability — 15 citations into it

Whom Bingzhe Wu trusts overall

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

1. Alex Krizhevsky
2. Cynthia Dwork
3. Kaiming He
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yann LeCun
7. Yoshua Bengio
8. Karen Simonyan
9. Ilya Sutskever
10. Ruslan Salakhutdinov

Who trusts Bingzhe Wu overall

1. Ying Zhao
2. Jinjun Chen

Papers from Bingzhe Wu's perspective

Ordered by how strongly the researchers Bingzhe 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. 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. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Post-Training Quantization on Diffusion Models (2022) — 336 citations
• S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search (2019) — 33 citations
• Practical Privacy Preserving POI Recommendation (2020) — 77 citations
• P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification (2019) — 45 citations