Yicong Li
Artificial Intelligence · with Feng · 2019
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Signal Processing — 6 citations into it
Whom Yicong Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yicong Li's perspective
Ordered by how strongly the researchers Yicong Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- An Adversarial Feature Distillation Method for Audio Classification (2019) — 24 citations