Bairong Shen
Artificial Intelligence · 2013–2019
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Generative Models — 10 citations into it
- Signal Processing — 7 citations into it
- Natural Language Processing — 5 citations into it
Whom Bairong Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Bairong Shen's perspective
Ordered by how strongly the researchers Bairong Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
Their papers
- Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network (2019) — 350 citations
- Biomedical text mining and its applications in cancer research (2013) — 249 citations