Ang Li
Artificial Intelligence · with Chen · 2019–2020
A researcher in the Science corpus: 3 papers; trusts 107 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Computer Vision and Pattern Recognition — 47 citations into it
- Model Architectures — 15 citations into it
- Optimization & Training — 11 citations into it
- Media Technology — 7 citations into it
Whom Ang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Karen Simonyan
- Diederik P. Kingma
- Andrew Zisserman
- Geoffrey E. Hinton
- Yann LeCun
- Kaiming He
- Yoshua Bengio
- Jimmy Ba
- Jia Deng
Who trusts Ang Li overall
Papers from Ang Li's perspective
Ordered by how strongly the researchers Ang 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets (2020) — 153 citations
- Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification (2020) — 96 citations
- DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification (2019) — 45 citations