Han Hu

Artificial Intelligence · with Dou · 2017–2023

A researcher in the Science corpus: 2 papers; trusts 193 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Computer Vision and Pattern Recognition — 63 citations into it
• Model Architectures — 28 citations into it
• Efficiency & Compression — 19 citations into it
• Privacy & Security — 10 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Han Hu trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Yann LeCun
5. Kaiming He
6. Ilya Sutskever
7. Christian Szegedy
8. Diederik P. Kingma
9. Cynthia Dwork
10. Ross B. Girshick

Papers from Han Hu's perspective

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

Their papers

• EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention (2023) — 807 citations
• Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning (2017) — 222 citations