Chu Zhou
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 4 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 — 16 citations into it
- Efficiency & Compression — 14 citations into it
- Model Architectures — 10 citations into it
- Signal Processing — 6 citations into it
Whom Chu Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Chu Zhou's perspective
Ordered by how strongly the researchers Chu Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Compressing RNNs for IoT devices by 15-38x using Kronecker Products (2019) — 36 citations