Yawei Zhao
Management Science and Operations Research · 3 papers · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 49 citations into it
- Computer Networks and Communications — 43 citations into it
- Artificial Intelligence — 41 citations into it
- Optimization & Training — 19 citations into it
- Electrical and Electronic Engineering — 10 citations into it
Whom Yawei Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lijun Zhang
- András György
- Elad Hazan
- Shai Shalev-Shwartz
- Eric C. Hall
- Martin A. Zinkevich
- Tianbao Yang
- Shahin Shahrampour
- Mark Herbster
- Rebecca M. Willett
Who trusts Yawei Zhao overall
Papers from Yawei Zhao's perspective
Ordered by how strongly the researchers Yawei Zhao 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend (2019) — 19 citations
- Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound (2021) — 13 citations
- Proximal Online Gradient is Optimum for Dynamic Regret (2018) — 7 citations