Yang Li
Computer Vision and Pattern Recognition · with Cui · 2017–2021
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
- Artificial Intelligence — 16 citations into it
- Experimental and Cognitive Psychology — 14 citations into it; #6,547 of 9,731 by trust here, #5,375 by citations
- Cognitive Neuroscience — 12 citations into it; #7,503 of 10,852 by trust here, #6,723 by citations
- Model Architectures — 7 citations into it
Whom Yang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Rodrigo Malacarne
- Sepp Hochreiter
- Wei-Long Zheng
- Individualized Treat
- Masashi Sugiyama
- Geoffrey E. Hinton
- Trevor J. Hastie
- J. Urgen Schmidhuber
- Yoshua Bengio
Who trusts Yang Li overall
Papers from Yang Li's perspective
Ordered by how strongly the researchers Yang 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
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition (2021) — 311 citations
- Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2017) — 504 citations