Huiying Li
Artificial Intelligence · with Zhao · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 70 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it; #22,899 of 35,345 by trust here, #7,858 by citations
- Safety, Robustness & Interpretability — 78 citations into it
- Computer Vision and Pattern Recognition — 42 citations into it
- Signal Processing — 36 citations into it; #5,236 of 7,572 by trust here, #888 by citations
- Media Technology — 5 citations into it
Whom Huiying Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicholas Carlini
- Yann LeCun
- Geoffrey E. Hinton
- Alex Krizhevsky
- Christian Szegedy
- Diederik P. Kingma
- Ian J. Goodfellow
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
Who trusts Huiying Li overall
Papers from Huiying Li's perspective
Ordered by how strongly the researchers Huiying Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks (2019) — 1,894 citations
- Fawkes: Protecting Privacy against Unauthorized Deep Learning Models (2020) — 307 citations
- Latent Backdoor Attacks on Deep Neural Networks (2019) — 478 citations