Yuanxiong Guo
Artificial Intelligence · 2015–2020
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 55 citations into it
- Computer Networks and Communications — 37 citations into it
- Electrical and Electronic Engineering — 22 citations into it
- Privacy & Security — 19 citations into it
- Optimization & Training — 15 citations into it
- Safety, Robustness & Interpretability — 11 citations into it
Whom Yuanxiong Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Shai Shalev-Shwartz
- H. Brendan McMahan
- Ilya Mironov
- Reza Shokri
- Martín Abadi
- Kamalika Chaudhuri
- Tong Zhang
- Jakub Konecný
- Geoffrey E. Hinton
Who trusts Yuanxiong Guo overall
Papers from Yuanxiong Guo's perspective
Ordered by how strongly the researchers Yuanxiong Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Personalized Federated Learning With Differential Privacy (2020) — 325 citations
- Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing (2020) — 325 citations
- DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy (2018) — 236 citations
- Privacy-Preserving Machine Learning Algorithms for Big Data Systems (2015) — 94 citations