Kaiwen Zhou
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Optimization & Training — 48 citations into it
- Computational Mechanics — 26 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Management Science and Operations Research — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Computer Networks and Communications — 5 citations into it
- Mathematical Optimization — 5 citations into it
Whom Kaiwen Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Tong Zhang
- Alex Krizhevsky
- Zeyuan Allen-Zhu
- Kaiming He
- Geoffrey E. Hinton
- Shai Shalev-Shwartz
- Karen Simonyan
- Francis R. Bach
- Julien Mairal
Papers from Kaiwen Zhou's perspective
Ordered by how strongly the researchers Kaiwen Zhou 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning (2019) — 51 citations
- Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization (2018) — 9 citations